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15 pages, 6304 KiB  
Article
Study on GA–ANN-Based Prediction of Paving Time of Cement-Stabilized Layer above Ultra-High-Filled Subgrade
by Wenjie Liu, Wanli Chao, Yuxuan Jin, Fei Yang, Limin Fan, Wuqiao Zhang, Lijian Wu and Changjun Song
Buildings 2024, 14(8), 2312; https://doi.org/10.3390/buildings14082312 - 26 Jul 2024
Viewed by 726
Abstract
In mountainous areas, high-filled subgrade often experiences significant post-construction settlement. Prematurely paving the cement-stabilized gravel layer on an unstable subgrade can easily lead to subsequent cracking. To accurately predict the settlement of high-filled subgrade and determine the appropriate timing for paving the cement-stabilized [...] Read more.
In mountainous areas, high-filled subgrade often experiences significant post-construction settlement. Prematurely paving the cement-stabilized gravel layer on an unstable subgrade can easily lead to subsequent cracking. To accurately predict the settlement of high-filled subgrade and determine the appropriate timing for paving the cement-stabilized layer, this study proposes a subgrade settlement prediction method combining an Artificial Neural Network (ANN) with a Genetic Algorithm (GA). Using monitoring data from a high-filled subgrade on a highway in Hunan Province, China, a GA–ANN model was established to predict settlement curves. The predicted data from the GA–ANN model were compared with measured data and ANN predictions to validate the advantages of using GA–ANN for subgrade settlement prediction. The results indicate that the GA–ANN model significantly outperforms the ANN model due to GA’s ability to provide more reasonable weight biases for ANN through global search optimization. Predictions of settlement data beyond 50 days using both ANN and GA–ANN showed that the GA–ANN prediction curve closely matched the measured curve, with a basic deviation within ±3 mm. In contrast, ANN’s prediction error gradually increased to over 5 mm as the observation time increased, with predicted values lower than measured values, leading to an overly optimistic estimation of early settlement convergence. Based on the predicted data and settlement standards, the estimated timing for laying the stabilized layer was determined. During the laying process, no cracking was observed in the stabilized layer. The project has been in operation for six months, with the road surface in good condition. This study provides a valuable reference for the laying of stabilized layers on similar high-filled and ultra-high-filled subgrades. Full article
(This article belongs to the Special Issue New Reinforcement Technologies Applied in Slope and Foundation)
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<p>Basic framework of GA–ANN model in this study.</p>
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<p>Representative section of high-filled subgrade scheme revised from bridge (units: m).</p>
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<p>Overall monitoring scheme.</p>
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<p>Slope horizontal monitoring point.</p>
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<p>Data preprocessing. (<b>a</b>) original data; (<b>b</b>) data from spline curve interpolation.</p>
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<p>Comparison of predicted settlement curves.</p>
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<p>Deformation and deformation rate curve of 8th grade slope.</p>
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<p>Deformation and deformation rate curve of 7th grade slope.</p>
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<p>Deformation and deformation rate curve of 6th grade slope.</p>
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<p>Deformation and deformation rate curve of 5th grade slope.</p>
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<p>Predicted values of settlement and settlement rate at each point on the top surface of the subgrade based on GA–ANN. (<b>a</b>) predicted value on the 60th day; (<b>b</b>) predicted value on the 70th day; (<b>c</b>) predicted value on the 80th day; (<b>d</b>) predicted value on the 90th day.</p>
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<p>The settlement prediction curve of each measuring point on the top surface of the subgrade.</p>
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<p>Pavement construction effect. (<b>a</b>) Cement-stabilized layer at the start of paving; (<b>b</b>) Completed pavement.</p>
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21 pages, 15472 KiB  
Article
Research on Bifurcated Origami Hydraulic Dampers for Real Road Vibration Loads
by Jingchao Guan, Baoluo Zheng, Yalan Li, Wei Zhao and Xilu Zhao
Appl. Sci. 2024, 14(14), 6374; https://doi.org/10.3390/app14146374 - 22 Jul 2024
Viewed by 662
Abstract
Cylindrical hydraulic dampers are commonly utilized to mitigate vibrations in machinery and structural applications. These devices generally feature a single linear stroke and are often linked to rotary joints to handle complex loading conditions. However, their installation in confined spaces, such as vehicle [...] Read more.
Cylindrical hydraulic dampers are commonly utilized to mitigate vibrations in machinery and structural applications. These devices generally feature a single linear stroke and are often linked to rotary joints to handle complex loading conditions. However, their installation in confined spaces, such as vehicle suspensions, poses considerable difficulties. In this research, we introduce an innovative bifurcated origami hydraulic damper with nonlinear damping capabilities. Initially, we formulated the collapsible conditional equations essential for the design of the bifurcated origami hydraulic dampers. We then examined the fluid dynamics within the damper and its flow channels, determining that the damping force is proportional to the square of the velocity. Furthermore, we developed motion equations based on the derived damping force and suggested vibration analysis methods using the Runge–Kutta approach. For the mass-spring vibration system, we created an experimental setup with the bifurcated origami hydraulic damper and performed vibration tests using noise signals recorded from a vehicle traveling on a gravel road, thus validating its damping performance and efficacy. Additional tests, which varied the orifice size at the end of the origami structure, as well as the type and temperature of the internal fluid, showed that the orifice size had a more pronounced effect on damping efficiency than the fluid type and temperature. This confirmed the vibration-damping effectiveness of the bifurcated origami hydraulic damper. Full article
(This article belongs to the Special Issue Vibration Problems in Engineering Science)
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<p>Stroke comparison of conventional cylinder dampers and origami structures.</p>
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<p>Conceptual diagram of the origami hydraulic damper.</p>
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<p>Inner workings of bifurcated origami hydraulic damper.</p>
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<p>Closing the one unit of cylindrical origami structure.</p>
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<p>The folded one unit of origami structure.</p>
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<p>Main origami hydraulic damper device. (<b>a</b>) Polyethylene cylindrical tube. (<b>b</b>) Origami damper film. (<b>c</b>) Mian origami damper. (<b>d</b>) Spring frame. (<b>e</b>) Vibration test device.</p>
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<p>Bifurcated origami hydraulic tanks. (<b>a</b>) Bifurcated origami tanks. (<b>b</b>) the frame of bifurcated origami tank. (<b>c</b>) Assembly completed for the two bifurcated origami tanks. (<b>d</b>) Overall view of the test device.</p>
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<p>Experimental setup of the bifurcated origami hydraulic damper.</p>
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<p>The orifice hole structure at the lower end of the bifurcated origami hydraulic damper.</p>
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<p>Bottom interface orifice structure.</p>
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<p>Bottom interface orifice structure.</p>
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<p>Experimental setup for vibration testing using the bifurcated origami hydraulic damper.</p>
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<p>Comparison of the vibration displacement from the measurement experiment and numerical analysis results.</p>
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<p>Collection of the acceleration vibration waves when driving on a gravel road.</p>
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<p>Acceleration waveform measured during actual driving.</p>
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<p>Spectral distribution of acceleration waveform measured during actual driving.</p>
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<p>Measurement results when excited under the vibration waves on a gravel road.</p>
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<p>Comparison of the average and maximum response.</p>
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<p>Effect of different diameters of the orifice hole on the bifurcated origami damper.</p>
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<p>Relationship between the orifice hole diameter and the standard deviation of acceleration.</p>
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<p>Effect of liquid type on the bifurcated origami hydraulic damper.</p>
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<p>Effect of liquid temperature on the bifurcated origami hydraulic damper.</p>
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<p>Eccentrically placed mass block on the vibration platform and its weight mass.</p>
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<p>Comparison of the acceleration response of the bifurcated origami hydraulic damper on the x-axis.</p>
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<p>Comparison of the acceleration response of the bifurcated origami hydraulic damper on the y-axis.</p>
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<p>Comparison of the acceleration response of the bifurcated origami hydraulic damper on the z-axis.</p>
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<p>Comparison of the modulus of the sum of the acceleration vectors under multi-dimensional vibration.</p>
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29 pages, 7298 KiB  
Article
Behaviour and Peculiarities of Oil Hydrocarbon Removal from Rain Garden Structures
by Maryna Kravchenko, Yuliia Trach, Roman Trach, Tetiana Tkachenko and Viktor Mileikovskyi
Water 2024, 16(13), 1802; https://doi.org/10.3390/w16131802 - 26 Jun 2024
Cited by 1 | Viewed by 1347
Abstract
The expansion of impervious areas in the context of climate change leads to an increase in stormwater runoff. Runoff from roads, petrol stations, and service stations is the most common form of unintentional release of petroleum hydrocarbons (PHs). Rain gardens are an important [...] Read more.
The expansion of impervious areas in the context of climate change leads to an increase in stormwater runoff. Runoff from roads, petrol stations, and service stations is the most common form of unintentional release of petroleum hydrocarbons (PHs). Rain gardens are an important practice for removing PHs from stormwater runoff, but little data exist on the removal efficiency and behaviour of these substances within the system. The main objective of the study is to investigate the effectiveness of rain gardens in removing pollutants such as diesel fuel (DF) and used engine oil (UEO) in a laboratory setting, as well as to study the behaviours of these pollutants within the system. Eight experimental columns (7.164 dm3) were packed with soil (bulk density 1.48 kg/dm3), river sand (1.6 kg/dm3), and gravel. Plants of the Physocarpus opulifolia Diabolo species were planted in the topsoil to study their resistance to PHs. For 6 months, the columns were watered with model PHs followed by simulated rain events. The concentrations of PHs in the leachate and soil media of the columns were determined by reverse-phase high-performance liquid chromatography (RP-HPLC). The results of HPLC indicated the absence of UEO and DF components in the leachates of all experimental columns, which suggested 100% removal of these substances from stormwater. The chromatography results showed that 95% of the modelled PHs were retained in the surface layer of the soil medium due to the sorption process, which led to a change in hydraulic conductivity over time. Recommendations are proposed to increase the service life of rain gardens designed to filter PHs from stormwater. Full article
(This article belongs to the Special Issue Urban Stormwater Harvesting, and Wastewater Treatment and Reuse)
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<p>Experimental filter columns and a schematic diagram: 1—<span class="html-italic">Physocarpus opulifolia Diabolo</span>; 2—soil layer; 3—sand layer; and 4—gravel layer.</p>
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<p>Chromatogram of the original diesel fuel (<b>a</b>) and the original used engine oil (<b>b</b>).</p>
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<p>Chromatograms of the filtrate from the experimental columns: (<b>a</b>) sample 1 (cylinder I); (<b>b</b>) sample 2 (cylinder VII); (<b>c</b>) sample 3 (cylinder V); and (<b>d</b>) sample 4 (cylinder VIII).</p>
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<p>Chromatograms of the filtrate from the experimental columns: (<b>a</b>) sample 5 (cylinder I) and (<b>b</b>) sample 6 (cylinder VI).</p>
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<p>Chromatogram of extracts from the sand (<b>a</b>) and soil layers (<b>b</b>) of cylinder II (UEO irrigation).</p>
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<p>Chromatogram of an extract from the sand (<b>a</b>) and soil layers (<b>b</b>) of cylinder V (DF irrigation).</p>
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<p>Shoot height of <span class="html-italic">Physocarpus opulifolia Diabolo</span> samples grown for 22 weeks in control (C) and DF- and UEO-contaminated soil.</p>
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<p>The studied samples of <span class="html-italic">Physocarpus opulifolia Diabolo</span> from the experimental columns irrigated with UEO (<b>a</b>) and DF (<b>b</b>), as well as the control C (<b>c</b>), at 2, 5, 8, 11, and 22 weeks of the study.</p>
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<p>Masses of the shoots (<b>a</b>,<b>c</b>) and roots (<b>b</b>,<b>d</b>) of plants at 4 and 22 weeks of the study.</p>
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<p>UV-vis spectra of peaks in the chromatogram. (<b>I</b>) Original diesel fuel: (<b>a</b>) 11.42 min; (<b>b</b>) 12.06 min; (<b>c</b>) 12.57 min; (<b>d</b>) 12.69 min; (<b>e</b>) 13.09 min; (<b>f</b>) 13.24 min; (<b>g</b>) 13.37 min; and (<b>h</b>) 13.82 min. (<b>II</b>) Output used engine oil: (<b>a</b>) 11.85 min; (<b>b</b>) 12.06 min; (<b>c</b>) 12.45 min; (<b>d</b>) 13.10 min; (<b>e</b>) 13.40 min; (<b>f</b>) 13.97 min; (<b>g</b>) 14.3 min; and (<b>h</b>) 14.62 min.</p>
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<p>UV-vis spectra of peaks in the chromatogram of filtrate samples: (<b>a</b>) 3.92 min; (<b>b</b>) 4.22 min; (<b>c</b>) 12.10 min; and (<b>d</b>) 12.75 min.</p>
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<p>UV-vis spectra of peaks in the chromatogram of the extract from the sand layer of cylinder II: (<b>a</b>) 12.11 min; (<b>b</b>) 12.62 min; (<b>c</b>) 15.74 min; and (<b>d</b>) 17.42 min.</p>
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<p>UV-vis spectra of peaks in the chromatogram of the extract from the soil layer of cylinder II: (<b>a</b>) 3.78 min; (<b>b</b>) 12.10 min; (<b>c</b>) 14.01 min; (<b>d</b>) 14.80 min; (<b>e</b>) 15.56 min; (<b>f</b>) 15.73 min; (<b>g</b>) 16.39 min; and (<b>h</b>) 17.63 min.</p>
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<p>UV-vis spectra of peaks in the chromatogram of the extract from the sand layer of cylinder V: (<b>a</b>) 12.18 min and (<b>b</b>) 12.72 min.</p>
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<p>UV-vis spectra of peaks in the chromatogram of the extract from the soil layer of cylinder V: (<b>a</b>) 13.48 min; (<b>b</b>) 13.78 min; (<b>c</b>) 14.07 min; (<b>d</b>) 14.55 min; (<b>e</b>) 15.40 min; (<b>f</b>) 15.65 min; (<b>g</b>) 16.49 min; and (<b>h</b>) 17.53 min.</p>
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24 pages, 7688 KiB  
Article
Smartphone Sensors in Motion: Advancing Traffic Safety with Mobile Technology
by Ján Ondruš, Arnold Jančár, Marián Gogola, Peter Varga, Željko Šarić and Jacek Caban
Appl. Sci. 2024, 14(13), 5404; https://doi.org/10.3390/app14135404 - 21 Jun 2024
Viewed by 909
Abstract
This research investigates the feasibility of using smartphones as reliable instruments to measure vehicle deceleration under different conditions and compares their accuracy and reliability with traditional decelerometers. The research was conducted using a passenger vehicle (Audi A6 Avant) on different road surfaces—dry, wet, [...] Read more.
This research investigates the feasibility of using smartphones as reliable instruments to measure vehicle deceleration under different conditions and compares their accuracy and reliability with traditional decelerometers. The research was conducted using a passenger vehicle (Audi A6 Avant) on different road surfaces—dry, wet, and gravel—at several speed intervals (30, 50, 70, and 90 km/h). The vehicle was equipped with an XL Meter decelerometer and three different smartphones in different price ranges. Each device recorded deceleration data, which was then analyzed to evaluate accuracy and reliability. The findings show that while the smartphones show promising results on dry and gravel surfaces, their accuracy decreases at lower speeds and on wet surfaces due to the limitations of the sensors in detecting subtle deceleration values. The research also highlights that mid-range smartphones can perform comparably to higher-end models, suggesting that excessive investment in more expensive technology may not be necessary for scientific purposes. However, some differences in measurements are attributed to variations in device mounting and orientation sensitivity. In conclusion, this research supports the potential of integrating smartphone technology in vehicle testing for road safety, although it highlights critical limitations that need to be addressed for standardized use. Full article
(This article belongs to the Special Issue Innovations in Road Safety and Transportation)
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<p>Decelorometer XL Meter [<a href="#B34-applsci-14-05404" class="html-bibr">34</a>].</p>
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<p>Smartphones (<b>left</b>) [<a href="#B38-applsci-14-05404" class="html-bibr">38</a>,<a href="#B39-applsci-14-05404" class="html-bibr">39</a>,<a href="#B40-applsci-14-05404" class="html-bibr">40</a>] and Smartphone accelerometer (<b>right</b>).</p>
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<p>Vehicle used in the study.</p>
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<p>Measurement location [<a href="#B41-applsci-14-05404" class="html-bibr">41</a>].</p>
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<p>Road surface ((<b>A</b>)—dry, (<b>B</b>)—wet, (<b>C</b>)—gravel).</p>
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<p>Flowchart of measurement process.</p>
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<p>Evaluation in XL Vision.</p>
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<p>View in Diagram software.</p>
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<p>Comparison of the average values for the dry road.</p>
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<p>Comparison of the average values and differences on the dry road.</p>
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<p>Comparison of the standard deviation for the dry road.</p>
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<p>Comparison of the average values for the wet road.</p>
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<p>Comparison of the average values and differences on the wet road.</p>
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<p>Comparison of the standard deviation for the wet road.</p>
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<p>Comparison of the average values for the gravel road.</p>
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<p>Comparison of the average values and differences on the gravel road.</p>
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<p>Comparison of the standard deviation for the gravel road.</p>
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<p>Braking distance on the dry road.</p>
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<p>Braking distance on the wet road.</p>
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<p>Braking distance on the gravel road.</p>
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17 pages, 8685 KiB  
Article
Spatio-Temporal Prediction of Three-Dimensional Stability of Highway Shallow Landslide in Southeast Tibet Based on TRIGRS and Scoops3D Coupling Model
by Jiarui Mao, Xiumin Ma, Haojie Wang, Liyun Jia, Yao Sun, Bin Zhang and Wenhui Zhang
Water 2024, 16(9), 1207; https://doi.org/10.3390/w16091207 - 24 Apr 2024
Cited by 1 | Viewed by 989
Abstract
National Highway G559 is the first highway in Southeast Tibet into Motuo County, which has not only greatly improved the difficult situation of local roads, but also promoted the economic development of Tibet. However, rainfall-induced shallow landslides occur frequently along the Bomi–Motuo section, [...] Read more.
National Highway G559 is the first highway in Southeast Tibet into Motuo County, which has not only greatly improved the difficult situation of local roads, but also promoted the economic development of Tibet. However, rainfall-induced shallow landslides occur frequently along the Bomi–Motuo section, which seriously affects the safe operation and construction work of the highway. Therefore, it is urgent to carry out geological disaster assessment and zoning along the highway. Based on remote-sensing interpretation and field investigation, the distribution characteristics and sliding-prone rock mass of shallow landslides along the Bomi–Motuo Highway were identified. Three-dimensional stability analysis of regional landslides along the Bomi-Motuo Highway under different rainfall scenarios was carried out based on the TRIGRS and Scoops3D coupled model (T-S model). The temporal and spatial distribution of potential rainfall landslides in this area is effectively predicted, and the reliability of the predicted results is also evaluated. The results show that: (1) The slope structure along the highway is mainly composed of loose gravel soil on the upper part and a strong weathering layer of bedrock on the lower part. The sliding surface is mostly a circular and plane type, and the main failure types are creep–tensile failure and flexural–tensile failure. (2) Based on the T-S coupling model, it is predicted that the potential landslide along the Bomi–Motuo Highway in the natural state is scattered. The distribution area of extremely unstable and unstable areas accounts for 4.92% of the total area. In the case of extreme rainfall once in a hundred years, the proportion of instability area (Fs < 1) predicted by the T-S coupling model 1 h after rainfall is 7.74%, which is 1.57 times that of the natural instability area. The instability area (Fs < 1) accounted for 43.40% of the total area after 12 h of rainfall. The potential landslides were mainly distributed in the Bangxin–Zhamu section and the East Gedang section. (3) The TRIGRS and T-S coupling model is both suitable for predicting the temporal–spatial distribution of rainfall-induced shallow landslides, but the TRIGRS model has the problem of over-prediction. The instability area predicted by the T-S coupling model accounted for 43.30%, and 74% of the historical landslide disaster points in the area were correctly predicted. (4) In terms of rainfall response, the T-S coupling model shows higher sensitivity. The %LRclass (Fs < 1) index of the T-S coupling model is above 50% in different time periods, and its landslide-prediction effect (%LRclass = 78.80%) was significantly better than that of the one-dimensional TRIGRS model (%LRclass = 45.50%) under a 12 h rainfall scenario. The research results have important reference significance for risk identification and disaster reduction along the G559 Bomi–Motuo Highway. Full article
(This article belongs to the Section Hydrogeology)
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<p>Overview of the study area and the distribution of landslides. (<b>a</b>) The yellow area is the location of the Tibet Autonomous Region of China. (<b>b</b>) The yellow area is Nyingchi City and the red area is the study area. (<b>c</b>) Distribution of historical landslides along the highway.</p>
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<p>Typical landslides in the study area. (<b>a</b>) The typical small-scale shallow landslides; (<b>b</b>) landslide group; (<b>c</b>) weathered rock mass and gravelly soil.</p>
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<p>Spatial distribution of soil-layer thickness.</p>
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<p>P-III frequency curve.</p>
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<p>Scoops 3D model principles are (<b>a</b>) 3D columns generated by each grid; (<b>b</b>) 3D topography of the study area.</p>
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<p>Schematic diagram of TRIGRS model and Scoops3D model coupling.</p>
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<p>Calculation results of slope 3D stability under different disaster scenarios.</p>
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<p>Comparison of prediction results between TRIGRS model and T-S model.</p>
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16 pages, 18443 KiB  
Article
Study on the Performance of Recycled Cement-Stabilized Macadam Mixture Improved Using Alkali-Activated Lithium Slag–Fly Ash Composite
by Weijun Yang, Zhenzhou Jin, Jianyu Yang, Jiangang He, Xuemei Huang, Xin Ye, Guangyao Li and Chao Wang
Minerals 2024, 14(4), 418; https://doi.org/10.3390/min14040418 - 18 Apr 2024
Viewed by 1317
Abstract
The huge demand for sand and gravel resources in road engineering construction leads to excessive consumption of resources and environmental damage. Recycling waste concrete and industrial solid waste as a road material is a promising alternative. In order to explore the application of [...] Read more.
The huge demand for sand and gravel resources in road engineering construction leads to excessive consumption of resources and environmental damage. Recycling waste concrete and industrial solid waste as a road material is a promising alternative. In order to explore the application of these solid wastes in the road base, this paper studies the effect of adding lithium slag activated by an alkaline activator, fly ash (FA) and a combination of the two on the compressive strength, splitting strength and shrinkage performance of recycled cement-stabilized macadam mixture (RCSM). The optimum content of recycled aggregate (RA), alkali-activated lithium slag (AALS) and FA in composite-improved RCSM was optimized using a response surface method (Box–Behnken), and the microscopic characteristics of the mixture were analyzed using X-ray diffraction (XRD) and scanning electron microscopy (SEM). The results show that the optimum dosage of AALS, FA and RA determined by the response surface method is 15%, 10% and 40%, respectively. Compared with the cement-stabilized macadam mixture (CSM) with 40% RA, the 28 d compressive strength and 28 d splitting strength of the composite-improved RCSM are increased by 26.8% and 22.9%, respectively, and the dry shrinkage coefficient and average temperature shrinkage coefficient are decreased by 25.8% and 14.8%, respectively. Microscopic tests show that AALS and FA participate in the hydration reaction, generate more hydrated silicate (C-S-H) and ettringite (AFt), refine pores, effectively improve the performance of the internal interface transition zone of the mixture, make the microstructure of the mixture denser, and improve the strength and shrinkage performance of RCSM. This study provides technical support for the reuse of resources and the sustainable development of road construction. Full article
(This article belongs to the Section Mineral Processing and Extractive Metallurgy)
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<p>Strength test.</p>
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<p>Dry shrinkage/temperature shrinkage test.</p>
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<p>Unconfined compressive strength test results and splitting strength test results.</p>
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<p>Dry shrinkage/temperature shrinkage test results.</p>
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<p>Two-dimensional contour plot between the independent variable and the response variable.</p>
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<p>Three-dimensional surface plot between the independent variable and the response variable.</p>
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<p>Three-dimensional surface plot between the independent variable and the response variable.</p>
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<p>Comparison of actual and predicted values.</p>
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<p>XRD patterns of RCSM and AALS–FA-composite-improved RCSM.</p>
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<p>SEM images of RCSM and AALS–FA-composite-improved RCSM.</p>
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15 pages, 3556 KiB  
Article
Use of Bottom Ash from a Thermal Power Plant and Lime to Improve Soils in Subgrades and Road Embankments
by Ángel Vega-Zamanillo, Leticia López-López, Esteban López-López and Miguel Ángel Calzada-Pérez
Appl. Sci. 2024, 14(8), 3197; https://doi.org/10.3390/app14083197 - 10 Apr 2024
Viewed by 1044
Abstract
The present study has focused on stabilizing the soils of the embankments and improving the mechanical properties of gravel in subbases of pavements with different contents of bottom ash from thermal power plants and low percentages of lime. The density, humidity, simple resistance [...] Read more.
The present study has focused on stabilizing the soils of the embankments and improving the mechanical properties of gravel in subbases of pavements with different contents of bottom ash from thermal power plants and low percentages of lime. The density, humidity, simple resistance strength and bearing capacity of the new materials resulting from this combination have been studied. The results indicated that the optimal proportion of bottom ash added to the analyzed soil is 15%, while the optimal addition of lime is 1% for application in embankments and 2% for application in road subgrades. In clay soil that has a low simple resistance strength when 25% of bottom ash is added without lime, it can double the resistance. In the case of the gravel evaluated, it was found that the optimal ratio between the addition of bottom ash and lime is 6.5. In conclusion, it can be noted that soil that does not have any resistance when certain percentages of bottom ash are added, its properties are improved to be used in embankments. Full article
(This article belongs to the Special Issue Innovative Building Materials for Sustainable Built Environment)
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<p>Diffractogram Bottom ash Soto de Ribera.</p>
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<p>Pozzolanity.</p>
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<p>Dynamic test.</p>
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<p>Particle size analysis for soils.</p>
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<p>(<b>a</b>) Plasticity of soils with 20% bottom ash (<b>b</b>) Plasticity in soil without bottom ash.</p>
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<p>Particle size analysis for gravels.</p>
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<p>(<b>a</b>) Graphs of time vs. deformation cycles 200–201 (<b>b</b>) Graphs of time vs. deformation cycles 2600–2601.</p>
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23 pages, 20613 KiB  
Article
Insights into Deformation and Mechanism of a Reactivated Landslide Occurrence from Multi-Source Data: A Case Study in Li County, China
by Yingjin Du, Kun He, Xiewen Hu and Hongsheng Ma
Remote Sens. 2024, 16(8), 1317; https://doi.org/10.3390/rs16081317 - 9 Apr 2024
Viewed by 1199
Abstract
The investigation of reactivated landslides in the alpine-canyon areas suffers the difficult accessibility of precipitous terrain. In particular, when reactivated landslides occur along the major roads, efforts are focused on measuring ground surface displacements during road construction. Nevertheless, the ancient landslide deposits may [...] Read more.
The investigation of reactivated landslides in the alpine-canyon areas suffers the difficult accessibility of precipitous terrain. In particular, when reactivated landslides occur along the major roads, efforts are focused on measuring ground surface displacements during road construction. Nevertheless, the ancient landslide deposits may reactivate after several years of road operation, while they show a stable state during the road construction. The characterization of this type of reactivated landslides is challenging, due to their complex mechanism and the limited monitoring data. Appropriate multi-source data can provide insights into deformation fields and enhance the understanding of landslide mechanisms, ensuring the outperformance of remedial works. This paper reports a recent Tangjiawan reactivated landslide along the Wenchuan-Maerkang Highway in Li County, China. The outcomes, including satellite InSAR, in situ real-time monitoring, and detailed ground and UAV investigation, conducted at this landslide are presented. Early deformation of the reactivated landslide began from 2019, with an InSAR-derived velocity of −11.7 mm/year, furthermore, a significant subsidence of about 21.2 mm, which occurred within a span of only 12 days from 3 June 2020 to 15 June 2020, was observed. The deformation characteristics derived from in situ monitoring during the remedial works were likely firstly associated with the initial unreinforced slope condition and the heavy rainfall. Subsequently, the displacement evolution transformed into deformation induced by time-dependent reduction in slope strength under rainfall conditions. The existing of unconsolidated deposits derived from ancient landslides, along with a fragile geo-structure consisting of rock blocks and gravels interlayered with breccias, exacerbated by large relief created a predisposition for landslide reactivation. Furthermore, 13 days of antecedent cumulative rainfall totaling 224.5 mm directly triggered the occurrence of a landslide event. The significance and implications of integrating multiple monitoring techniques are emphasized. Full article
(This article belongs to the Special Issue Application of Remote Sensing Approaches in Geohazard Risk)
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<p>(<b>a</b>) Regional geological map of the study area. (<b>b</b>) Plan view of the ancient landslide. (<b>c</b>) Tectonic map of the study area.</p>
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<p>Daily and cumulative precipitation of May to June 2020 in the study area (Dash line means the occurrence of the landslide reactivation).</p>
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<p>Geomorphologic characteristics of (<b>a</b>) pre-remediation and (<b>b</b>) post-remediation.</p>
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<p>Integrated monitoring dataset and temporal coverage from different sources.</p>
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<p>Temporal and perpendicular baselines of the InSAR processing.</p>
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<p>In situ real-time monitoring network and the locations of different instruments.</p>
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<p>The geomorphological map of the reactivated landslide and the distribution of in situ investigation points. The base map is a UAV orthophoto from 25 June 2020.</p>
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<p>Longitudinal profile of the reactivated landslide (section A–A’ in <a href="#remotesensing-16-01317-f007" class="html-fig">Figure 7</a>).</p>
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<p>Borehole drillings reveal the structure of the landslide. (<b>a</b>) Angular revealed by ZK04. (<b>b</b>) Rock blocks and debris from ZK03. (<b>c</b>,<b>d</b>) Breccia soil from ZK01 and ZK02, respectively.</p>
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<p>Cracks developed in the landslide area and their rose diagram of strike. (<b>a</b>,<b>b</b>) Tensile crack L1 at the crown of the reactivated landslide. (<b>c</b>,<b>d</b>) Tensile crack L2 observed in the vicinity of the local failure. (<b>e</b>,<b>f</b>) Tensile cracks at the ground surface at the slope toe.</p>
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<p>Local collapse occurred at the lower section of the slope. (<b>a</b>) The collapse reached the bridge. (<b>b</b>) Rock blocks distributed within the residual slope. (<b>c</b>) The failure of the slope damaged the pier of the bridge. (<b>d</b>) The rear edge of the local collapse.</p>
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<p>(<b>a</b>) Bulging deformation of the retaining wall. (<b>b</b>,<b>c</b>) Uplift deformation of the cover plate of the road ditch.</p>
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<p>Crack deformations of the slab-pile wall in the front edge of slope. (<b>a</b>) The crack developed in the junction of pile and lattice frame. (<b>b</b>) Crack developed on the slab-pile wall. Crack observed on different dates: (<b>c</b>) 7 July and (<b>d</b>) 5 September 2020.</p>
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<p>Deformation signs of highway and retaining wall. (<b>a</b>) Subsidence of retaining wall. (<b>b</b>) Tensile crack in the inside of road. (<b>c</b>) Crack on the retaining wall. (<b>d</b>) Crack observed on the road. (<b>e</b>) Subsidence of road after the reactivation in 2020 while the profile showing the elevation change of the road surface. (<b>f</b>) Tensile crack developed in the junction of road and retaining wall.</p>
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<p>LOS Velocity of study area based on SBAS-InSAR (Points A and B are the selected monitoring points, while the numbers mean the mileage of the highway).</p>
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<p>LOS displacement versus time of point (<b>a</b>) A and (<b>b</b>) B.</p>
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<p>Displacement and precipitation versus time curves: (<b>a</b>) horizontal and (<b>b</b>) vertical displacement versus time monitored by GNSS01-03. (<b>c</b>) Horizontal and (<b>d</b>) vertical displacement versus time monitored by GNSS04-06. (<b>e</b>) Horizontal and (<b>f</b>) vertical displacement versus time monitored by GNSS07, 08 and 12. (<b>g</b>) Horizontal and (<b>h</b>) vertical displacement versus time monitored by GNSS09-11.</p>
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<p>(<b>a</b>–<b>d</b>) Cumulative displacement of inclinometers IN01-04.</p>
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<p>Displacement and precipitation versus time curves on cracks monitored by crack meters 01-04 (Grey bar is the precipitation).</p>
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<p>Soil moisture versus time curves monitored by sensors SF1-3 in <a href="#remotesensing-16-01317-f006" class="html-fig">Figure 6</a> (Grey bar is the precipitation).</p>
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<p>Distribution of ancient landslides on the Wenchuan-Li County section of Wen-Ma Highway from a comprehensive investigation (Red polygons are the ancient landslide areas).</p>
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17 pages, 4787 KiB  
Article
Runoff and Sediment Deposition Characteristics of Gravel-Mulched Land: An Experimental Study
by Shuangtao Wang, Pingping Luo, Wangcheng Li, Jiqiang Lyu and Meimei Zhou
Land 2024, 13(4), 445; https://doi.org/10.3390/land13040445 - 31 Mar 2024
Viewed by 1012
Abstract
The hydrological characteristics of gravel-containing soils are different from those of gravel-free soils, so it is worth further understanding and enriching the theory of soil and water conservation. In this study, adjustable slope (10°, 20°, 30°) test soil boxes with different surface gravel [...] Read more.
The hydrological characteristics of gravel-containing soils are different from those of gravel-free soils, so it is worth further understanding and enriching the theory of soil and water conservation. In this study, adjustable slope (10°, 20°, 30°) test soil boxes with different surface gravel contents (0%, 25%, 50%, 75%, 100%) were prepared to study the runoff erosion characteristics of gravel-covered land slopes under different rainfall conditions (10 mm/h, 20 mm/h, 30 mm/h). Compared with the bare soil, the runoff start time of the three slopes covered with 100% soil surface gravel content is delayed by 38.90, 32.83 and 73.39%, the runoff producing rate of gravel condition under different slopes decreased by 7.20–71.52% and the total amount of sediment yield decreased by 7.94~84.57%. Surface gravel cover can effectively reduce runoff and sediment yield, which is beneficial for better soil and water conservation. The results of this study have a certain reference value for the theory of soil and water conservation and can be used as a basis for guiding efficient agricultural production in gravel-mulched land and construction (like road slope improvement). Full article
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<p>The location of the experiment site in Ningxia, China.</p>
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<p>Soil particle size distribution curve.</p>
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<p>Experimental device. (<b>a</b>) Design of the experimental device; (<b>b</b>) Soil tank.</p>
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<p>Runoff discharge of different soil surface gravel contents at gradient of (<b>a</b>) 10°, (<b>b</b>) 20°, (<b>c</b>) 30°.</p>
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<p>Runoff discharge of 30° slope and different soil surface gravel contents under (<b>a</b>) 10 mm/h, (<b>b</b>) 20 mm/h, (<b>c</b>) 30 mm/h rainfall intensity.</p>
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<p>Total runoff under (<b>a</b>) different slope gradients, (<b>b</b>) different rainfall intensities.</p>
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<p>Sediment discharge of each soil surface gravel content at a slope of (<b>a</b>) 10°, (<b>b</b>) 20°, (<b>c</b>) 30°.</p>
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<p>Sediment discharge of each soil surface gravel content at a rainfall intensity of (<b>a</b>) 10 mm/h, (<b>b</b>) 20 mm/h, (<b>c</b>) 30 mm/h.</p>
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<p>Soil loss under (<b>a</b>) different slope gradients, (<b>b</b>) different rainfall intensities.</p>
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21 pages, 26821 KiB  
Article
Long-Term Volumetric Change Estimation of Red Ash Quarry Sites in the Afro-Alpine Ecosystem of Bale Mountains National Park in Ethiopia
by Mohammed Ahmed Muhammed, Abubeker Mohammed Hassen, Temesgen Alemayehu Abera, Luise Wraase, Behailu Legese Ejigu, Binyam Tesfaw Hailu, Georg Miehe and Dirk Zeuss
Remote Sens. 2024, 16(7), 1226; https://doi.org/10.3390/rs16071226 - 30 Mar 2024
Viewed by 1910
Abstract
The Bale Mountains National Park (BMNP) in Ethiopia comprises the largest fraction of the Afro-Alpine ecosystem in Africa, which provides vital mountain ecosystem services at local, regional, and global levels. However, the BMNP has been severely threatened by natural and anthropogenic disturbances in [...] Read more.
The Bale Mountains National Park (BMNP) in Ethiopia comprises the largest fraction of the Afro-Alpine ecosystem in Africa, which provides vital mountain ecosystem services at local, regional, and global levels. However, the BMNP has been severely threatened by natural and anthropogenic disturbances in recent decades. In particular, landscape alteration due to human activities such as red ash quarrying has become a common practice in the BMNP, which poses a major environmental challenge by severely degrading the Afro-Alpine ecosystem. This study aims to quantify the long-term volumetric changes of two red ash quarry sites in the BMNP using historical aerial photographs and in situ data, and to assess their impact on the Afro-Alpine ecosystem. The Structure-from-Motion multi-view stereo photogrammetry algorithm was used to reconstruct the three-dimensional landscape for the year 1967 and 1984 while spatial interpolation techniques were applied to generate the current digital elevation models for 2023. To quantify the volumetric changes and landscape alteration of the quarry sites, differences in digital elevation models were computed. The result showed that the volume of resources extracted from the BMNP quarry sites increased significantly over the study period from 1984 to 2023 compared with the period from 1967 to 1984. In general, between 1967 and 2023, the total net surface volume of the quarry sites decreased by 503,721 ± 27,970 m3 and 368,523 ± 30,003 m3, respectively. The extent of the excavated area increased by 53,147 m2 and 45,297 m2 for Site 1 and 2, respectively. In terms of habitat loss, major gravel road construction inside the BMNP resulted in the reduction of Afro-Alpine vegetation by 476,860 m2, ericaceous vegetation by 403,806 m2 and Afromontane forest by 493,222 m2 with associated decline in species diversity and density. The excavation and gravel road construction have contributed to the degradation of the Afro-Alpine ecosystem, especially the endemic Lobelia rhynchopetalum on the quarry sites and roads. If excavation continues at the same rate as in the last half century, it can threaten the whole mountain ecosystem of the National Park and beyond, highlighting the importance of preventing these anthropogenic changes and conserving the remaining Afro-Alpine ecosystem. Full article
(This article belongs to the Special Issue Remote Sensing for Mountain Ecosystems II)
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<p>Study area in the southern Ethiopian highlands in East Africa with (<b>a</b>) the Bale Mountains National Park (<b>b</b>) and the Sanneti Plateau quarry sites (<b>c</b>). Data: Shuttle Radar Thematic Mapper (United States Geological Survey, Reston, Virginia, USA), Ethio-GIS (Central Statistics Agency, Addis Ababa, Ethiopia), and Georeferenced toposheet (Geospatial Information Institute of Ethiopia, Addis Ababa, Ethiopia) (© Google Earth imagery source: Esri, Maxar, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community).</p>
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<p>Block diagram (flight index) showing camera exposure stations (ground principal points), areal extent and forward overlap of individual aerial photographs for the year 1967 (source: Ethiopian Geospatial Information Institute, and background © Google Earth imagery sources: Esri, Maxar, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community).</p>
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<p>Block diagram (flight index) showing camera exposure stations (ground principal points), areal extent, forward overlap, and side overlap of individual aerial photographs for the year 1984 (source: Ethiopian Geospatial Information Institute, and background © Google Earth imagery sources: Esri, Maxar, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community).</p>
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<p>Spatial distribution of the in situ primary data collected in the study area for Site 1 (<b>a</b>) and Site 2 (<b>b</b>). The check points (triangle) included in the map were used to assess the accuracy of DEMs generated from point data (Background © Google Earth imagery sources: Esri, Maxar, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community).</p>
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<p>Methodological workflow applied for landscape volumetric change calculating Digital Elevation Models (DEMs) of Differences (DEMs). SfM MVS = Structure-from-Motion Multi View Stereo photogrammetry, HAPs = Historical Aerial Photographs, IDW = Inverse Distance Weighting, FGD = Focus Group Discussion, DoD = DEM of Difference.</p>
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<p>DEMs generated from HAPs for Site 1 in 1967 (<b>a</b>) and 1984 (<b>b</b>), and for Site 2 in 1967 (<b>c</b>) and 1984 (<b>d</b>); see also (<a href="#remotesensing-16-01226-f001" class="html-fig">Figure 1</a>).</p>
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<p>DEMs generated from in situ data with different interpolation techniques. Site 1: Inverse Distance Weight (<b>a</b>), kriging (<b>b</b>), spline (<b>c</b>), and topo-to-raster (<b>d</b>). Site 2: Inverse Distance Weight (<b>e</b>), kriging (<b>f</b>), spline (<b>g</b>), and topo-to-raster (<b>h</b>).</p>
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<p>Historical aerial images of the two study quarry sites. Historical view of Site 1 in 1967 (<b>a</b>), 1984 (<b>b</b>), 2011 (<b>c</b>), and 2023 (<b>d</b>); and Site 2 in 1967 (<b>e</b>), 1984 (<b>f</b>), 2011 (<b>g</b>), and 2023 (<b>h</b>). (Source: [<a href="#B69-remotesensing-16-01226" class="html-bibr">69</a>]; © Google Earth imagery; Esri, Maxar, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community).</p>
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<p>DEM of Difference (DoD) in meter showing maps of Site 1 from 1967 to 1984 (<b>a</b>), from 1984 to 2023 (<b>b</b>), and from 1967 to 2023 as a whole (<b>c</b>); and of Site 2 from 1967 to 1984 (<b>d</b>), from 1984 to 2023 (<b>e</b>), and from 1967 to 2023 as a whole (<b>f</b>).</p>
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<p>Topographic data collection using a total station and documented landscape change due to quarrying operations in the BMNP. (<b>a</b>) Collecting data using a total station, (<b>b</b>) newly formed road entry to the site, (<b>c</b>,<b>d</b>) excavated surfaces vulnerable to flooding, and (<b>e</b>) cliff formation prone to further erosion (Photo: B. Bekelle).</p>
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<p>Landscape change due to quarrying operations in the BMNP. (<b>a</b>,<b>e</b>) Newly formed drainage pattern, (<b>b</b>) excavated surfaces, (<b>c</b>) stockpile, and (<b>d</b>) machine and vehicle footprint (Photo: B. Bekelle).</p>
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31 pages, 8383 KiB  
Article
Evaluation of Ground Pressure, Bearing Capacity, and Sinkage in Rigid-Flexible Tracked Vehicles on Characterized Terrain in Laboratory Conditions
by Omer Rauf, Yang Ning, Chen Ming and Ma Haoxiang
Sensors 2024, 24(6), 1779; https://doi.org/10.3390/s24061779 - 10 Mar 2024
Cited by 1 | Viewed by 1361
Abstract
Trafficability gives tracked vehicles adaptability, stability, and propulsion for various purposes, including deep-sea research in rough terrain. Terrain characteristics affect tracked vehicle mobility. This paper investigates the soil mechanical interaction dynamics between rubber-tracked vehicles and sedimental soils through controlled laboratory-simulated experiments. Focusing on [...] Read more.
Trafficability gives tracked vehicles adaptability, stability, and propulsion for various purposes, including deep-sea research in rough terrain. Terrain characteristics affect tracked vehicle mobility. This paper investigates the soil mechanical interaction dynamics between rubber-tracked vehicles and sedimental soils through controlled laboratory-simulated experiments. Focusing on Bentonite and Diatom sedimental soils, which possess distinct shear properties from typical land soils, the study employs innovative user-written subroutines to characterize mechanical models linked to the RecurDyn simulation environment. The experiment is centered around a dual-tracked crawler, which in itself represents a fully independent vehicle. A new three-dimensional multi-body dynamic simulation model of the tracked vehicle is developed, integrating the moist terrain’s mechanical model. Simulations assess the vehicle’s trafficability and performance, revealing optimal slip ratios for maximum traction force. Additionally, a mathematical model evaluates the vehicle’s tractive trafficability based on slip ratio and primary design parameters. The study offers valuable insights and a practical simulation modeling approach for assessing trafficability, predicting locomotion, optimizing design, and controlling the motion of tracked vehicles across diverse moist terrain conditions. The focus is on the critical factors influencing the mobility of tracked vehicles, precisely the sinkage speed and its relationship with pressure. The study introduces a rubber-tracked vehicle, pressure, and moisture sensors to monitor pressure sinkage and moisture, evaluating cohesive soils (Bentonite/Diatom) in combination with sand and gravel mixtures. Findings reveal that higher moisture content in Bentonite correlates with increased track slippage and sinkage, contrasting with Diatom’s notable compaction and sinkage characteristics. This research enhances precision in terrain assessment, improves tracked vehicle design, and advances terrain mechanics comprehension for off-road exploration, offering valuable insights for vehicle design practices and exploration endeavors. Full article
(This article belongs to the Section Vehicular Sensing)
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<p>Flow diagram of complete ground instrumentation system for pressure sinkage measurement experiment.</p>
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<p>Model experiment schematic diagram includes (<b>a</b>) soil bin, pressure sensors, tracked vehicle, (<b>b</b>) 12 V/24 V power supply, (<b>c</b>) wireless data logger and signal amplifier, (<b>d</b>) moisture sensor, (<b>e</b>) online monitoring mobile app layout (<b>f</b>) 9-axis attitude sensor, (<b>g</b>) software, and (<b>h</b>) communication module.</p>
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<p>(<b>a</b>) Bentonite and (<b>b</b>) Diatom soil rubber tracked vehicle pressure sinkage observation at 0.1 m/s speed.</p>
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<p>(<b>a</b>) Image of bodies of a mini rigid tracked vehicle; (<b>b</b>) Proposed tracked vehicle’s side view; (<b>c</b>) Proposed tracked vehicle’s front view; (<b>d</b>) Solid works schematic track diagram.</p>
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<p>Experimental setup for Soil Bin and pressure sensor installation location: (<b>a</b>) Soil Bin used for the experiment, (<b>b</b>) Diatom soil in soil bin, (<b>c</b>) Bentonite soil in soil bin, (<b>d</b>) Sand gravel mixture mixed with bentonite soil, (<b>e</b>) Tracked vehicle and pressure sensor installation location, (<b>f</b>) front, mid, and Rear pressure sensor location in soil bin.</p>
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<p>(<b>a</b>) Cone penetrometer, (<b>b</b>) Soil sampling by cone penetrometer, and (<b>c</b>) CPT reading.</p>
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<p>3-D multi-body dynamic simulation model of a tracked vehicle in RecurDyn.</p>
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<p>Simulation comparisons: movement of the crawler vehicle on Bentonite when the speed is (<b>a</b>) 0.1 m/s, (<b>b</b>) 0.2 m/s, (<b>c</b>) 0.3 m/s.</p>
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<p>Simulation comparisons: movement of the crawler vehicle on Bentonite when the speed is (<b>a</b>) 0.1 m/s, (<b>b</b>) 0.2 m/s, (<b>c</b>) 0.3 m/s.</p>
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<p>The movement of the crawler vehicle on Diatom when the speed is (<b>a</b>) 0.1 m/s, (<b>b</b>) 0.2 m/s, (<b>c</b>) 0.3 m/s.</p>
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<p>The movement of the crawler vehicle on Diatom when the speed is (<b>a</b>) 0.1 m/s, (<b>b</b>) 0.2 m/s, (<b>c</b>) 0.3 m/s.</p>
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<p>(<b>a</b>) Bentonite clay (−0.063 mm), (<b>b</b>) Diatom soils (&gt;20 μm), and (<b>c</b>) Sand-gravel mixture (2~5 mm) were used in the experiment.</p>
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<p>Figure shows the correlation between penetration depth and Cone Index values for Bentonite and Diatom soils at 10%, 20%, and 30% moisture levels. (<b>a</b>) 10%, (<b>b</b>) 20%, and (<b>c</b>) 30% Moisture Content and Penetration Depth.</p>
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<p>The graph shows (<b>a</b>) Bentonite’s moisture (%) on the x-axis and ground pressure (kPa) on the y-axis. (<b>b</b>) shows Diatom’s moisture (%) on the x-axis and sinkage (cm) on the y-axis. (<b>c</b>) Bentonite’s moisture (%) is on the x-axis, and sinkage (cm) is on the y-axis. (<b>d</b>) Shows Diatom’s moisture (%) on the x-axis and sinkage (cm) on the y-axis. (<b>e</b>) Bentonite’s ground pressure (kPa) is on the x-axis, and sinkage (cm) is on the y-axis. (<b>f</b>) Diatom’s ground pressure (kPa) is on the x-axis, and sinkage (cm) is on the y-axis.</p>
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<p>Bentonite and diatom sinkage exponent, moisture, and cohesive modulus.</p>
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<p>A graphical representation of Sensors Data collected from 6 pressure sensors at variable speeds (0.1, 0.2, and 0.3 m/s).</p>
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19 pages, 14823 KiB  
Article
Seismic Isolation Materials for Bored Rock Tunnels: A Parametric Analysis
by Ahmed Elgamal and Nissreen Elfaris
Infrastructures 2024, 9(3), 44; https://doi.org/10.3390/infrastructures9030044 - 29 Feb 2024
Viewed by 1803
Abstract
Most recent tunnel designs rely on more thorough analyses of the intricate rock interactions. The three principal techniques for excavating rock tunneling are drill-and-blast for complete or partial cross-sections, TBM only for circular cross-sections with full faces, and road header for small portions. [...] Read more.
Most recent tunnel designs rely on more thorough analyses of the intricate rock interactions. The three principal techniques for excavating rock tunneling are drill-and-blast for complete or partial cross-sections, TBM only for circular cross-sections with full faces, and road header for small portions. Tunnel-boring machines (TBM) are being utilized to excavate an increasing number of tunnels. Newer studies have demonstrated that subterranean structures such as tunnels produce a variety of consequences during and after ground shaking, challenging the long-held belief that they are among the most earthquake-resistant structures. Consequently, engineering assessment has become crucial for these unique structures from both the geotechnical and structural engineering standpoints. The designer should evaluate the underground structure’s safety to ensure it can sustain various applied loads, considering both seismic loads and temporary and permanent static loads. This paper investigates how adding elastic, soft material between a circular tunnel and the surrounding rock affects seismic response. To conduct the study, Midas/GTS-NX was used to model the TBM tunnel and the nearby rock using the finite element (F.E.) method to simulate the soil–tunnel interactions. A time–history analysis of the El Centro (1940) earthquake was used to calculated the stresses accumulated in the tunnels during seismic episodes. Peak ground accelerations of 0.10–0.30 g, relative to the tunnel axis, were used for excitation. The analysis utilized a time step of 0.02 s, and the duration of the seismic event was set at 10 s. Numerical models were developed to represent tunnels passing through rock, with the traditional grout pea gravel vs. isolation layer. A parametric study determined how isolation material characteristics like shear modulus, Poisson’s ratio, and unit weight affect tunnel-induced stresses. In the meantime, this paper details the effects of various seismic isolation materials, such as geofoam, foam concrete, and silicon-based isolation material, to improve protection against seismic shaking. The analysis’s findings are discussed, and how seismic isolation affects these important structures’ performance and safety requirements is explained. Full article
(This article belongs to the Section Infrastructures and Structural Engineering)
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<p>Schematic view of a double-shield TBM.</p>
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<p>Backfilling of the segmental lining: (<b>a</b>) with pea gravel and (<b>b</b>) with annulus grouting via the shield tail.</p>
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<p>Direction of body waves (P-waves and S-waves generated by earthquakes).</p>
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<p>Stages of deformation in rock.</p>
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<p>The typical stress–strain curve for rock.</p>
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<p>Grouting through tail skin [<a href="#B62-infrastructures-09-00044" class="html-bibr">62</a>].</p>
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<p>Tunnel and grout numerical model configuration.</p>
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<p>F.E. numerical model boundaries.</p>
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<p>Acceleration time history.</p>
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<p>Flowchart for the creation of numerical modeling.</p>
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<p>Shear modulus of isolation effect on transversal stresses in the rock tunnel.</p>
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<p>The Poisson ratio of isolation effect on transversal stresses in the rock tunnel.</p>
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<p>Unit weight of isolation effect on transversal stresses in the rock tunnel.</p>
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<p>Effect of isolation on transverse stresses of the tunnel crown in two different rock layers.</p>
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<p>Effect of isolation on inverted tunnel transverse stresses in two different rock layers.</p>
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<p>Effect of using common isolation material on a tunnel’s transverse stresses in rock.</p>
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<p>Effect of common isolation vs. user isolation on transverse stresses of a tunnel in rock.</p>
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<p>Vertical displacement of the tunnel with traditional grout.</p>
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<p>Vertical displacement of the tunnel with isolation.</p>
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20 pages, 8270 KiB  
Article
Numerical Analysis of Differential Settlement in Road Due to Widening Considering Different Reinforcement Techniques
by Shaista Jabeen Abbasi, Xiaolin Weng and Muhammad Jawed Iqbal
Appl. Sci. 2024, 14(5), 1740; https://doi.org/10.3390/app14051740 - 21 Feb 2024
Viewed by 1708
Abstract
Embankment and pavement widening of an existing road is a viable option to cope with increased traffic volume. One of the common challenges in road expansion is the occurrence of differential settlement between the old and the new portions. This article pertains to [...] Read more.
Embankment and pavement widening of an existing road is a viable option to cope with increased traffic volume. One of the common challenges in road expansion is the occurrence of differential settlement between the old and the new portions. This article pertains to the field case study of the National Highway-120, where pavement distresses developed in the weak sections of the highway following the operation of traffic within a few months. Field monitoring and geotechnical tests, including the requisite in situ as well as laboratory tests, were conducted on soil specimens from the study area, followed by the performance of a numerical analysis using the two-dimensional finite element software Abaqus CAE 2021 to investigate the weak section of the road. Different techniques such as geogrid reinforcement, installation of cement–fly-ash–gravel (CFG) piles, and lightweight foamed concrete (LWFC) embankment fill were used to analyze the reduction in differential settlement between the old and the widened portions. Among the applied reinforcement techniques, the use of LWFC as embankment fill in the widened portion was determined to be most effective in minimizing the differential settlement in the weak section of the highway. Full article
(This article belongs to the Section Civil Engineering)
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<p>Location of N-120 on map of Sindh province of Pakistan.</p>
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<p>Layout plan for traffic movement and lane marking (units in mm).</p>
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<p>Fatigue cracks in the widened part of the pavement of N-120.</p>
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<p>Alligator cracks in the widened part of the pavement of N-120.</p>
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<p>Cracks in the widened part of the pavement of N-120.</p>
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<p>Pavement distresses in N-120 in the widened part of the pavement.</p>
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<p>Locations of soil samples.</p>
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<p>Road section before widening.</p>
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<p>Shear test results at 300 kPa, 104 kPa, and 212 kPa. (<b>a</b>) Foundation. (<b>b</b>) New road. (<b>c</b>) Old road.</p>
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<p>Shear test results at 300 kPa, 104 kPa, and 212 kPa. (<b>a</b>) Foundation. (<b>b</b>) New road. (<b>c</b>) Old road.</p>
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<p>Shear test results (normal stress vs. shear stress diagram).</p>
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<p>Geometry of the model (units in mm).</p>
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<p>Schematic of boundary conditions and applied loads.</p>
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<p>Schematic for interaction.</p>
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<p>Case setting (treatment strategies). (<b>a</b>) Case A: Geogrid at the base. (<b>b</b>) Case B: Geogrid at the base and CFG piles under new road embankment. (<b>c</b>) Case C: CFG piles under new road embankment and the joint. (<b>d</b>) Case D: Lightweight filling material as soil replacement.</p>
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<p>Settlement on the pavement surface for untreated embankment at 20 kPa.</p>
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<p>Settlement on the pavement surface and toe for untreated embankment at 40 kPa.</p>
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<p>Settlement on the pavement surface for untreated embankment at 80 kPa.</p>
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<p>Settlement profile at the pavement surface.</p>
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<p>Settlement profile at the foundation surface.</p>
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<p>Settlement profile comparison at the foundation surface.</p>
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<p>Settlement cloud diagrams. (<b>a</b>) Without reinforcement. (<b>b</b>) Case A. (<b>c</b>) Case B. (<b>d</b>) Case C. (<b>e</b>) Case D.</p>
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<p>Settlement cloud diagrams. (<b>a</b>) Without reinforcement. (<b>b</b>) Case A. (<b>c</b>) Case B. (<b>d</b>) Case C. (<b>e</b>) Case D.</p>
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<p>Settlements under load variation.</p>
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19 pages, 5638 KiB  
Article
Performance Study of Black Shale Modified Soil for Road Use Based on Eshelby–Mori–Tanaka Theory
by Min Hu, Zhangduo Huang, Jiejin Chen, Yipeng Guo, Yichao Zhou, Dashun Liu and Rong Guo
Appl. Sci. 2024, 14(4), 1636; https://doi.org/10.3390/app14041636 - 18 Feb 2024
Viewed by 1014
Abstract
Black shale, as a type of soft rock, exhibits high strength when freshly exposed. However, it easily disintegrates upon contact with water, making it unsuitable for direct use in roadbed construction. Using it as discarded material not only increases construction costs but also [...] Read more.
Black shale, as a type of soft rock, exhibits high strength when freshly exposed. However, it easily disintegrates upon contact with water, making it unsuitable for direct use in roadbed construction. Using it as discarded material not only increases construction costs but also pollutes the environment. Therefore, the reuse and modification of black shale have become particularly important. Based on the theory of composite material equivalent inclusions, this study investigates the strength and water stability characteristics of black shale gravel after being mixed with cement and compacted with clay. The results show that the strength of cemented soil increases linearly with the cement content. The water absorption properties of the modified soils with different amounts of black shale added are similar, with an average water absorption rate of about 2.53%. The strength of black shale modified soil is generally positively correlated with the cement content, although the linear correlation is not significant. The modified black shale soil used in the experiment is suitable for the subgrade of medium- and light-grade secondary roads and below. The recommended mass ratio is Mshale:Mclay:Mcement = 70:21:9. The unconfined compressive strength of the material under 7-day curing is 1.36 MPa. The relationship between the strength of modified soil, clay strength, cement content, and gravel addition has been established, clarifying the physical significance of each parameter. The “drying and soaking” cycle can accelerate the strength degradation of modified soil. It is recommended to strengthen the construction of roadbed drainage facilities during construction to maintain a stable and dry environment for the modified soil as a roadbed filling material. The research results not only provide clear technical indicators for the reuse of discarded black shale in engineering but also serve as a basis for proportion of crushed stone discarded material as roadbed fill. Full article
(This article belongs to the Section Civil Engineering)
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<p>Mineral content of black shale.</p>
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<p>Black shale disintegration process (Chinese letters in the figure means Length × Width × Height).</p>
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<p>Particle size grading curve.</p>
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<p>Compaction test of cement-soil with different cement content.</p>
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<p>Optimum moisture content and maximum dry density of cement-soil.</p>
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<p>Relationship between unconfined compressive strength and cement content of cement-soil specimen with maximum dry density.</p>
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<p>Test procedure the experiments on black shale modified soil.</p>
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<p>(<b>a</b>) Relationship between dry density and cement-soil ratio of black shale. (<b>b</b>) Relationship between water absorption and cement-soil ratio of black shale. <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>R</mi> </mrow> <mrow> <mn>40</mn> </mrow> </msub> <msub> <mrow> <mi>ω</mi> </mrow> <mrow> <mi>n</mi> </mrow> </msub> </mrow> </semantics></math> is the water absorption curve of the sample with 40% black shale content; <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>R</mi> </mrow> <mrow> <mn>40</mn> </mrow> </msub> <msub> <mrow> <mi>ρ</mi> </mrow> <mrow> <mi>d</mi> </mrow> </msub> </mrow> </semantics></math> refers to the dry density curve of the specimen with 40% black shale content. S15 and S25 refer to cement content of cement-soil of 15% and 25%, respectively.</p>
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<p>Stress–strain curve of <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="normal">R</mi> </mrow> <mrow> <mn>40</mn> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) Relationship between unconfined compressive strength of black shale modified soil and cement content. (<b>b</b>) Black shale modified soil with different cement content.</p>
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<p>(<b>a</b>) Relationship between curing age and strength. (<b>b</b>) Relationship between curing age and mass increase rate of specimen after water absorption.</p>
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<p>(<b>a</b>) Relationship between quality loss rate and cycle period of black shale in different environments. (<b>b</b>) Relationship between strength and cycle period of black shale under different environments.</p>
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<p>Unconfined compression test of test piece Y7S30.</p>
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<p>Picture of unconfined compression test 21.“I. Contact Stage” refers to the stage when the specimen is fully in contact with the test machine and device; “IV. Failure Stage” refers to the stage when the specimen is obviously damaged.</p>
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<p>Schematic diagram of composite material formation process.</p>
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<p>Test result fitting curve.</p>
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<p>Measured value and fitting value.</p>
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16 pages, 2707 KiB  
Article
Can the Impact of Gravel Roads on Organic Layer Thickness Explain the Distribution of Populus tremuloides along Road Networks in the Boreal Forest of Eastern Canada?
by Mathilde Marchais, Dominique Arseneault and Yves Bergeron
Forests 2024, 15(2), 298; https://doi.org/10.3390/f15020298 - 4 Feb 2024
Viewed by 1065
Abstract
Roads are known to alter environmental conditions and the composition of road edge plant communities, particularly when exogenous materials are used as road surfacing. In this study, we evaluate the impact of gravel roads on the organic layer thickness (OLT) and aspen distribution [...] Read more.
Roads are known to alter environmental conditions and the composition of road edge plant communities, particularly when exogenous materials are used as road surfacing. In this study, we evaluate the impact of gravel roads on the organic layer thickness (OLT) and aspen distribution in a boreal forest landscape of Eastern Canada. The OLT and aspen distribution were compared at different distances from the roads (0 m, 10 m, and >10 m) to determine whether a reduction in the OLT along the roads could explain the distribution of aspen along the road network, and in particular the role of the roads as habitat corridors. In addition, germination tests were carried out to determine whether mineral soil from the roads could promote aspen establishment, by comparing the germination rate of substrates consisting only of mineral soil or mosses, and substrates consisting of mosses covered with 0.5 cm or 2 cm of mineral soil. The presence of aspen in the study landscape is limited by thick organic deposits (≥50 cm). However, the thickness of these deposits is reduced to approximately 10 cm at the edges of gravel roads, in part by the transport of mineral soil from the roads. This reduction in the OLT facilitates the establishment of aspen and helps explain its distribution along the road network. Full article
(This article belongs to the Section Forest Ecology and Management)
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<p>Location of forest roads and sampled stands in the study landscape. The stands sampled include 19 aspen stands located along roads, as well as 8 stands containing no aspen as control stands.</p>
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<p>Probability of aspen presence according to organic layer thickness. The blue line represents the logistic regression curve. Red lines represent 95% confidence intervals. Circles represent aspen presence/absence observations.</p>
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<p>Thickness of organic layer (OLT) according to distance from forest roads. Transects parallel to roads form a single distance class (0 m). Transects perpendicular to roads are divided into two distance classes (10 m and &gt;10 m). The results of the Friedman test are shown. The symbol ** indicates significant differences between distance classes according to the results of the post hoc exact test with Holm correction (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Organic layer thickness (OLT) according to distance from forest roads estimated by the mixed linear model for habitats where roads play no functional role (NFR), where they play the role of a habitat corridor (HC), and for control habitats (C). For each habitat type, the distance to roads is divided into two classes (&lt;10 m and &gt;10 m). The gray bars represent the 95% confidence intervals estimated by the model. ANOVA results are shown. The symbols °, *, and ** indicate significant differences between groups according to the results of Tukey’s post hoc test (<span class="html-italic">p</span> &lt; 0.1, <span class="html-italic">p</span> &lt; 0.05, and <span class="html-italic">p</span> &lt; 0.001, respectively).</p>
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<p>Average organic layer thickness (OLT) at 5 m and 25 m from forest roads based on the soil profiles of 4 stands where roads act as functional habitat corridors. Error bars represent standard errors. Results of the Student’s paired-sample test are shown.</p>
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<p>Number of aspen seedlings by substrate type (i.e., treatment). The results of the Kruskal–Wallis test are shown. The symbols * and *** indicate significant differences between treatments according to the results of Dunn’s post hoc test with Holm correction (<span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.001, respectively).</p>
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