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19 pages, 18377 KiB  
Article
Natural Hazard Assessment in the Southeastern Margin of the Ría de Arosa (Pontevedra, Spain) Using GIS Techniques
by Carlos E. Nieto, Antonio Miguel Martínez-Graña and Leticia Merchán
Sustainability 2024, 16(22), 10101; https://doi.org/10.3390/su162210101 - 19 Nov 2024
Viewed by 705
Abstract
The characterization of natural hazards in coastal environments is of great necessity, especially in the current context of global climate change and increasing population concentrations. This research focuses on a multi-hazard analysis of the main geotechnical, geomorphological, hydrological, and lithological risks in the [...] Read more.
The characterization of natural hazards in coastal environments is of great necessity, especially in the current context of global climate change and increasing population concentrations. This research focuses on a multi-hazard analysis of the main geotechnical, geomorphological, hydrological, and lithological risks in the southeastern margin of the Ría de Arosa using Geographic Information System techniques. The integration of geotechnical characterization maps and natural hazard maps has allowed for the identification of areas with a high susceptibility to natural disasters, which is crucial for territorial planning and management in the context of growing urban pressure and global climate change. The results indicate that poorly consolidated surface formations, especially in transitional areas such as dunes and marshes, are particularly vulnerable. Additionally, areas with higher lithological competence have been identified, where slope changes contribute to ground instability. This analysis provides valuable tools for decision-making and the implementation of risk management policies, promoting sustainable development, the protection of coastal ecosystems, and the prevention of risks from urban planning and civil engineering activities in the Ría de Arosa. Full article
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<p>Map of the study area within the province of Pontevedra in Galicia.</p>
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<p>(<b>A</b>) Geological map. (<b>B</b>) Geomorphological map, modified from [<a href="#B47-sustainability-16-10101" class="html-bibr">47</a>].</p>
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<p>Methodological scheme.</p>
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<p>(<b>A</b>) Lithological mapping. (<b>B</b>) Degree of permeability. (<b>C</b>) Type of porosity. (<b>D</b>) Hydrogeological mapping. (<b>E</b>) Geotechnical domain mapping.</p>
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<p>(<b>A</b>) Geotechnical zone mapping and (<b>B</b>) geotechnical characterization mapping of the SE margin of the Ría de Arosa.</p>
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<p>(<b>A</b>) Granite dome on the south–west edge of the El Grove Peninsula. (<b>B</b>) Rocky outcrop with a large tor (Siradella Mount). (<b>C</b>) Coastal marine terraces on the south side of Isla de Arosa. (<b>D</b>) Cliffs and marine terraces at Punta Fagilda (Fagilda Cape). (<b>E</b>) Dune systems adjacent to Montalvo Cape. (<b>F</b>) Marshes at the mouth of the Umia River.</p>
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<p>(<b>A</b>) Geotechnical hazard map. (<b>B</b>) Hydrological hazard map, modified from [<a href="#B28-sustainability-16-10101" class="html-bibr">28</a>].</p>
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<p>Natural hazard mapping of the SE margin of the Ría de Arosa.</p>
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20 pages, 21008 KiB  
Article
Research on Monitoring the Speed of Glacier Terminus Movement Based on the Time-Series Interferometry of a Ground-Based Radar System
by Limin Zhai, Qinghua Ye, Yongqing Liu, Shuyi Liu, Yan Jia and Xiangkun Zhang
Remote Sens. 2024, 16(21), 3928; https://doi.org/10.3390/rs16213928 - 22 Oct 2024
Viewed by 743
Abstract
The Tibetan Plateau (TP) is the largest glacier reserve outside the Antarctic and Arctic regions. Climate warming has affected the reserve of freshwater resources and led to frequent glacier disasters. However, due to its extreme environment of hypoxia and low pressure, it is [...] Read more.
The Tibetan Plateau (TP) is the largest glacier reserve outside the Antarctic and Arctic regions. Climate warming has affected the reserve of freshwater resources and led to frequent glacier disasters. However, due to its extreme environment of hypoxia and low pressure, it is extremely difficult to obtain data. Compared with other traditional monitoring methods such as makers and satellite remote sensing technology, Ground-Based (GB) radar systems have the advantages of convenient carrying and installation, sub-second level sampling, and sub-millimeter measurement accuracy. They can be used as an effective way to study the short-term rapid movement changes in glaciers. Based on a self-built GB radar system, monitoring experiments were conducted on two glacier termini on the TP. The movement speed of the Rongbuk glacier terminus on Mount Qomolangma was obtained through time-series interferometric measurement as 4.10 cm/day. When the altitude was about 5200 m, the glacier movement speed was 7.74 cm/day, indicating the spatial differences with altitude changes. And in another region, the movement speed of the Yangbulake glacier terminus on Mount Muztag Ata was 198.96 cm/day, indicating significant changes in glacier movement. The cross-validation of Sentinel-1 data during the same period proved the effectiveness of GB radar system interferometry in measuring glacier movement speed and also provided field validation data for remote sensing inversion. Full article
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<p>Locations of the TP and glacier study areas measured (the boundary of TP was from <a href="https://data.tpdc.ac.cn/zh-hans/data/0c84a954-435d-45f4-bf42-d561f7c7da2a" target="_blank">https://data.tpdc.ac.cn/zh-hans/data/0c84a954-435d-45f4-bf42-d561f7c7da2a</a>, accessed on 29 August 2024).</p>
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<p>Topography and Sampling Area Map of Rongbuk Glacier.</p>
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<p>Topography and Sampling Area Map of Yangbulake Glacier, etc.</p>
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<p>Physical diagram of the GB radar system.</p>
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<p>User interface for system control.</p>
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<p>Schematic diagram of SFCW signal frequency.</p>
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<p>One-dimensional range profile of SFCW radar.</p>
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<p>The glacier movement speed map extracted by Sentinel-1 and the phase accumulation results of the sampling points at the glaciers termini measured by GB radar time-series interferometry: (<b>a</b>) Description of glacier movement speed map of Rongbuk Glacier and phase accumulation of sampling points of Rongbuk Glacier termini; (<b>b</b>) Description of glacier movement speed map of Yangbulake Glacier, etc., and phase accumulation of sampling points of Yangbulake Glacier termini.</p>
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<p>InSAR coherence coefficient maps and statistical results. (<b>a</b>) Coherence coefficient map and statistical results of Rongbuk Glacier; (<b>b</b>) Coherence coefficient map and statistical results of Yangbulake Glacier, etc.</p>
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14 pages, 4500 KiB  
Article
Diffusion Mechanism of Variable-Rate Grouting in Water Prevention and Control of Coal Mine
by Chong Li, Cunjin Lu, Jinpeng Xu, Kai Zhang, Shiming Liu and Hui Zhao
Water 2024, 16(19), 2814; https://doi.org/10.3390/w16192814 - 2 Oct 2024
Viewed by 725
Abstract
Regional grouting treatment is an effective technical means to prevent mine water disasters, and the grouting effect is affected by many factors. In actual grouting engineering, the single constant-rate grouting method is often transformed into a variable-parameter grouting process. However, research on grouting [...] Read more.
Regional grouting treatment is an effective technical means to prevent mine water disasters, and the grouting effect is affected by many factors. In actual grouting engineering, the single constant-rate grouting method is often transformed into a variable-parameter grouting process. However, research on grouting rates has been insufficient. This investigation focused on the issue of “the diffusion law of variable-rate grouting slurry in regional governance”. Methods such as theoretical analysis, numerical simulation, and field verification were used to evaluate the diffusion mechanism of variable-rate fracture grouting. The results indicated that the key parameters of variable-rate grouting, such as slurry diffusion distance and grouting pressure, were affected by the grouting rate. The decrease in the grouting rate reduced the migration speed of the slurry and the grouting pressure. The time for constant-velocity grouting and variable-velocity grouting to reach the same diffusion distance was 60 s and 108 s, respectively, which can be achieved with lower grouting pressure. When the grouting rate was 7.5 L/min and 30 L/min, the maximum grout diffusion distance was 2.81 m and 5.64 m, respectively, which required greater grouting pressure. The slurry diffusion rate decreased with the reduction in the grouting rate. Under the same diffusion distance conditions, variable-rate grouting took longer than constant high-rate grouting. In variable-rate grouting, the grouting pressure decreased stepwise with the grouting rate, with a final pressure drop of 77.4%. In grouting practice, the innovative use of the rate-reducing grouting method can greatly reduce the final grouting pressure under the premise of changing the slurry diffusion distance less, which can not only ensure the stability of surrounding rock but also reduce the cost of high-pressure grouting and the risk of grouting operation. The investigation results can provide scientific guidance for ground grouting renovation projects in deep coal mine water hazard areas. Full article
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<p>Schematic diagram of ground horizontal hole regional grouting governance.</p>
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<p>Curves of different rheological models.</p>
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<p>Radial diffusion of cement slurry in planar fracture.</p>
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<p>Geometric model of single-fracture grouting diffusion.</p>
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<p>Variation curve of grouting rate over time.</p>
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<p>Key parameter–time relationships under different grouting rates.</p>
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<p>Grouting rate–time variation curve.</p>
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<p>Grouting parameter–time variation curve.</p>
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<p>Slurry diffusion morphology.</p>
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<p>Comparison of slurry diffusion distance.</p>
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<p>Slurry diffusion distance–time variation curve.</p>
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<p>Grouting pressure–time variation curve.</p>
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24 pages, 8983 KiB  
Article
Microseismic Monitoring and Disaster Warning via Mining and Filling Processes of Residual Hazardous Ore Bodies
by Zilong Zhou, Yinghua Huang and Congcong Zhao
Minerals 2024, 14(9), 948; https://doi.org/10.3390/min14090948 - 18 Sep 2024
Viewed by 766
Abstract
The thick ore bodies in the Xianglushan tungsten mine have been irregularly mined, forming a super large, connected irregular goaf group and tall, isolated irregular pillars inside. At the same time, there is a production capacity task of recovering residual and dangerous ore [...] Read more.
The thick ore bodies in the Xianglushan tungsten mine have been irregularly mined, forming a super large, connected irregular goaf group and tall, isolated irregular pillars inside. At the same time, there is a production capacity task of recovering residual and dangerous ore bodies. This poses the potential for serious ground-pressure disasters, such as roof caving, pillar collapse, and large-scale goaf collapse during mining. Based on the actual needs of the site, we established a microseismic monitoring system. After analyzing the mining and filling processes and their relationships, and, combined with the distribution characteristics of microseismic multiple parameters, we constructed a ground-pressure disaster warning mode and mechanism. We analyzed the stability of the goaf, further formed a warning system, and achieved disaster warning. In response to the current situation of the difficulty of early warning of ground pressure in the Xianglushan tungsten mine, continuous on-site monitoring of existing goaves, point pillars, and strip pillars, as well as analysis of stress changes during dynamic mining and filling processes, we explored scientific and reasonable early warning mechanisms and models, understanding the relationship between the changes in microseismic parameters during dynamic mining and filling processes and ground pressure, studying and improving the reliability of underground microseismic monitoring and early warning, and achieved the internal connection between building early warning systems and the prevention of ground-pressure disasters. The results indicate that the mining and filling process of the ore body is the main factor in maintaining a stable and balanced distribution of underground ground pressure in mining engineering. Microseismic monitoring can invert the evolution of ground pressure and form a feedback system with ground-pressure warning, achieving mine safety management. Full article
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<p>Project overview. (<b>a</b>) Mine location. (<b>b</b>) Ore body occurrence. (<b>c</b>) Goaf. (<b>d</b>) Pillar.</p>
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<p>Sensor position relationship and monitoring system network topology diagram within the microseismic monitoring area.</p>
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<p>Simplified diagram of residual ore body mining.</p>
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<p>The eastern and western parts of the mine and the overall ore output. (<b>a</b>) 2013–2018. (<b>b</b>) In the months of 2018.</p>
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<p>Comparison chart of actual ore production and filling volume underground.</p>
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<p>Spatial distribution of underground microseismic positioning events from 2013 to 2018.</p>
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<p>The magnitude frequency cumulative relationship and its fitting formula for microseismic positioning events.</p>
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<p>Probability distribution of cumulative occurrence of extreme magnitude values in 2019.</p>
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<p>Probability density distribution of extreme magnitude events in 2019.</p>
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<p>Probability index (P) distribution of microseismic energy release in 2019.</p>
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<p>Establishment of precursor patterns: (<b>A</b>) Time window for roof collapse occurrence; (<b>B</b>) Microseismic event rate curve; (<b>C</b>) Time window for roof collapse occurrence.</p>
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<p>37# probe area empty zone distribution map.</p>
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<p>Trend chart of microseismic event rate for probe 37#.</p>
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<p>Photos of roof-caving site.</p>
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<p>Description of the destruction of the goaf where the 43# probe is located.</p>
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<p>Microseismic event rate variation near probe 43#.</p>
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14 pages, 2144 KiB  
Article
Research on the Influence of Temperature on the Assessment of Coal and Gas Outburst Dynamic Risk in Deep Mining
by Duoduo Yang, Sisi Wang, Yuanrui Xu, Yue Feng, Jinqian Zeng, Kangming Wang, Si Chen, Juan Zheng and Dingding Yang
Sustainability 2024, 16(11), 4831; https://doi.org/10.3390/su16114831 - 5 Jun 2024
Cited by 1 | Viewed by 1218
Abstract
To ensure the sustainable development of energy supply, there is a continuous increase in demand for deep coal mining, making safe and efficient extraction a crucial area of research. However, with the increasing depth, rising ground temperatures pose new challenges for safe and [...] Read more.
To ensure the sustainable development of energy supply, there is a continuous increase in demand for deep coal mining, making safe and efficient extraction a crucial area of research. However, with the increasing depth, rising ground temperatures pose new challenges for safe and sustainable mining operations. Among these challenges, coal and gas outburst dynamic hazards stand out as significant issues. Therefore, it is necessary to assess the impact of temperature variations on coal and gas outburst disaster prevention and control. To investigate this effect, we conducted an analysis based on outburst-triggering mechanisms and adsorption–desorption processes. Temperature was considered as the primary controlled variable, while gas expansion energy served as the criterion for assessing outburst hazards. Kilometer-deep coal samples were selected for measurement, focusing on indicators such as Langmuir adsorption constants (a,b), gas content (Q), gas pressure (P) and drilling cutting desorption indices (K1, Δh2). The results indicate that, under the same gas pressure, there is a slight decreasing trend in gas expansion energy with increasing temperature, although the overall change is minimal. Hence, the sole influence of temperature on the gas’s ability to perform work during outbursts is limited. Temperature exerts varying degrees of influence on gas parameters such as gas content and drill cutting desorption indices. The fluctuation amplitudes of these indicators range from large to small in the following order: Δh2 > ΔP > Q > K1 > P. Additionally, their correlation with gas expansion energy decreases in the following order: P > Q > Δh2 > K1 > ΔP. Thus, the influence of temperature on the indicators used in various prediction methods exhibits inconsistency, emphasizing the importance of considering temperature effects on predicted values. Gas pressure emerges as the optimal indicator for outburst determination, while gas content and drill cutting desorption indices are preferable as predictive indicators. These results will provide valuable references for the sustainable and safe development, risk assessment and prediction of deep coal mining. Full article
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<p>Schematic diagram of coal mass state during outburst process.</p>
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<p>Graph showing the variation in coal adsorption constant <span class="html-italic">a</span> value (<b>a</b>) and <span class="html-italic">b</span> value (<b>b</b>) with temperature.</p>
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<p>Graph of drill cutting desorption index variation with temperature.</p>
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<p>Graph of the relationship between initial gas desorption velocity of coal and temperature.</p>
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<p>Graph of the relationship between methane content and temperature.</p>
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<p>Relationship between gas expansion energy and temperature.</p>
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<p>Flowchart of critical value calculation process for various prediction indicators.</p>
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20 pages, 11196 KiB  
Article
Study on the Effect of the Undercut Area on the Movement Law of Overburden Rock Layers in the Block Caving Method
by Xiushan Qin, Xiaocong Yang, Zhonghao Liang, Hui Cao and Liu Xu
Appl. Sci. 2024, 14(11), 4704; https://doi.org/10.3390/app14114704 - 30 May 2024
Cited by 1 | Viewed by 809
Abstract
We chose to study the bottom structure stress evolution law in the process of undercut area advancement via the block caving method, reveal the influence law of the undercut rate on the effect of the ore body caving process, and assess the floor [...] Read more.
We chose to study the bottom structure stress evolution law in the process of undercut area advancement via the block caving method, reveal the influence law of the undercut rate on the effect of the ore body caving process, and assess the floor stress evolution law in the process of the undercut area with a different undercut rate in order to guide the production of a natural disintegration method under horizontal ground stress and also provide some reference value for rock damage assessment. According to the actual engineering and physical parameters of the mine, a numerical simulation model was created by using finite discrete element software GPI-3D-FDEM, and the Neo–Hookean hyperelastic constitutive model was adopted for calculation purposes. The simulation process follows a backward bottoming approach and monitors and analyses the stress state of the substructure after each bottoming step. The indoor physical model is employed to conduct similar two–dimensional simulation experiments on similar materials, investigating the motion laws of overlying rock layers. The research findings indicate that as bottom blasting progresses, a gradual concentration of compressive stress occurs in the foundation structure ahead of the advancing line. If this stress surpasses the rock mass’s shear failure limit, ground pressure failure may ensue. During mineral extraction from the bottom, internal stress within the fractured fault zone significantly diminishes compared to adjacent rock and ore deposits. Full article
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<p>Bottom plan graph.</p>
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<p>The flowchart of the Simulation Analysis Framework.</p>
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<p>Overarching Model. (<b>a</b>) Geometric models. (<b>b</b>) Network models.</p>
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<p>Geostress balance’s resultant diagram: (<b>a</b>) x-stress, (<b>b</b>) y-stress, and (<b>c</b>) z-stress.</p>
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<p>Vertical displacement of the ore body during the bottoming process: (<b>a</b>) Step 1, (<b>b</b>) Step 3, (<b>c</b>) Step 5, (<b>d</b>) Step 10, (<b>e</b>) Step 15, and (<b>f</b>) Step 21.</p>
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<p>Vertical stress map of the ore body during the bottoming process: (<b>a</b>) Step 2, (<b>b</b>) Step 5, (<b>c</b>) Step 10, (<b>d</b>) Step 15, (<b>e</b>) Step 21, and (<b>f</b>) Step 21 (cross-section).</p>
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<p>Horizontal stress map of the ore body during the bottoming process: (<b>a</b>) Step 2, (<b>b</b>) Step 5, (<b>c</b>) Step 10, (<b>d</b>) Step 15, (<b>e</b>) Step 21, and (<b>f</b>) Step 21 (cross-section).</p>
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<p>Damage rupture extension cloud map of the ore body bottoming process: (<b>a</b>) Step 2, (<b>b</b>) Step 5, (<b>c</b>) Step 10, (<b>d</b>) Step 15, (<b>e</b>) Step 21, and (<b>f</b>) Step 21 (cross-section).</p>
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<p>Damage rupture extension cloud map of the ore body bottoming process: (<b>a</b>) Step 2, (<b>b</b>) Step 5, (<b>c</b>) Step 10, (<b>d</b>) Step 15, (<b>e</b>) Step 21, and (<b>f</b>) Step 21 (cross-section).</p>
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<p>Standard specimens.</p>
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<p>Schematic diagram of the Copper Hill Mine II ore body model.</p>
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<p>Layout diagram of displacement monitoring points.</p>
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<p>Layout of measurement points and excavation sequence diagram.</p>
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<p>Deformation and damage law of overburden rock: (<b>a</b>) drawdown width 20 m, (<b>b</b>) drawdown width 60 m, (<b>c</b>) drawdown width 100 m, (<b>d</b>) drawdown width 140 m, (<b>e</b>) drawdown width 180 m, (<b>f</b>) drawdown width 220 m, (<b>g</b>) drawdown width 260 m, and (<b>h</b>) drawdown width 300 m.</p>
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<p>Pressure distribution graph: (<b>a</b>) roof pressure distribution curve; (<b>b</b>) bottom plate pressure distribution curve.</p>
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<p>Schematic diagram of the top plate displacement and sinking: (<b>a</b>) advancement of drawdown width to 80 m, (<b>b</b>) advancement of draw-down width to 120 m, and (<b>c</b>) advancement of drawdown width to 170 m.</p>
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14 pages, 1269 KiB  
Article
Study on the Hydrochemical Characteristics and Evolution Law of Taiyuan Formation Limestone Water under the Influence of Grouting with Fly Ash Cement: A Case Study in Gubei Coal Mine of Huainan, China
by Guanhong Xiao and Haifeng Lu
Water 2024, 16(7), 971; https://doi.org/10.3390/w16070971 - 27 Mar 2024
Cited by 1 | Viewed by 1469
Abstract
The hydrogeological conditions of Huainan Coalfield are complex. The Taiyuan formation limestone water (Taihui water) in this area is a direct threat to the water source of the 1# coal mining floor. In order to prevent and control water disasters, Gubei Coal Mine [...] Read more.
The hydrogeological conditions of Huainan Coalfield are complex. The Taiyuan formation limestone water (Taihui water) in this area is a direct threat to the water source of the 1# coal mining floor. In order to prevent and control water disasters, Gubei Coal Mine adopted ground high-pressure grouting with fly ash cement to block the hydraulic connection between the Taiyuan formation limestone aquifer and the Ordovician limestone aquifer. However, the injected slurry will destroy the original hydrochemical balance of Taihui water and change its hydrochemical characteristics. Taking the influence area of the 2# karst collapse column in the Beiyi 1# coal mining area of Gubei Coal Mine as an example, a total of 25 Taihui water samples were collected. The hydrochemical characteristics and evolution law of Taihui water before and after grouting are studied via the multivariate statistical method. The research methods include constant index statistics, Piper diagram, correlation analysis, ion combination ratio, and saturation index analysis. The results show that after grouting, the concentrations of Na+ + K+, Ca2+, Mg2+, and Cl in Taihui water decrease, while the concentrations of SO42− and HCO3 increase. The average values of PH and TDS become larger. The hydrochemical types of Taihui water are more concentrated, mainly HCO3-Na and Cl-Na. The correlations between conventional indicators decrease. According to the analysis of ion combination ratio, dissolution, cation exchange, and pyrite oxidation mainly occur in Taihui water, and these effects are enhanced after grouting. The saturation index results show that after grouting, the saturation index of dolomite, calcite, and gypsum is significantly reduced, and the saturation index of rock salt is slightly increased. The conclusion of this study is that the hydrochemical characteristics of Taihui water are greatly affected by fly ash cement. Moreover, because fly ash cement contains a lower calcium oxide content than ordinary Portland cement, the effect of fly ash cement on the ion concentration of Taihui water and the resulting hydrogeochemical effect are significantly different. Therefore, in the treatment of mine water disasters, the hydrogeochemical evolution law affected by fly ash cement grouting should be identified. Full article
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<p>Overview of Gubei Coal Mine. (<b>a</b>) geographical location of study area; (<b>b</b>) stratum; (<b>c</b>) Faults and 2# karst collapse column in the study area; (<b>d</b>) sampling points.</p>
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<p>Box plot of conventional indicators.</p>
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<p>Piper diagram of Taihui water.</p>
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<p>Proportional relationship of main ions in Taihui water. (<b>a</b>) The ratio chart of milliequivalent concentrations of [γ(Ca<sup>2+</sup>) + γ(Mg<sup>2+</sup>)]/[γ(HCO<sub>3</sub><sup>−</sup>) + γ(SO<sub>4</sub><sup>2−</sup>)]; (<b>b</b>) The ratio chart of milliequivalent concentrations of γ(Ca<sup>2+</sup>)/γ(Mg<sup>2+</sup>); (<b>c</b>) The ratio chart of milliequivalent concentrations of γ(Ca<sup>2+</sup>)/γ(HCO<sub>3</sub><sup>−</sup>); (<b>d</b>) The ratio chart of milliequivalent concentrations of γ(Ca<sup>2+</sup>)/γ(SO<sub>4</sub><sup>2−</sup>); (<b>e</b>) The ratio chart between CAI-1 and CAI-2.; (<b>f</b>) The ratio chart of milliequivalent concentrations of γ(Na<sup>+</sup>)/γ(Cl<sup>−</sup>).</p>
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20 pages, 12777 KiB  
Article
A Field Study to Measure the Surrounding Stress of Rock and Supporting Structure of a Steep Tunnel with a Combination of Hard and Soft Rock Layers under Plate Compression
by Yonghui Zhang, Zhiping Hu, Sheng Li, Pengyuan He, Jiangyang Hu, Boyu Wang and Yunxin Zheng
Buildings 2024, 14(3), 618; https://doi.org/10.3390/buildings14030618 - 26 Feb 2024
Viewed by 1220
Abstract
Tunnels excavated in a combination of hard and soft rock strata with high ground stress are prone to large deformations, collapse, and other disasters. The Yongfeng Tunnel, a reconstruction and expansion of the G544 line, suffered severe high ground stress from plate compression. [...] Read more.
Tunnels excavated in a combination of hard and soft rock strata with high ground stress are prone to large deformations, collapse, and other disasters. The Yongfeng Tunnel, a reconstruction and expansion of the G544 line, suffered severe high ground stress from plate compression. This paper studied the surrounding rock pressure and supporting structure stress characteristics of tunnels with a combination of hard and soft rock strata with high ground stress by using earth pressure cells, surface strain gauges, and embedded strain gauges to test all stress related to the surrounding rock, primary support, and secondary lining. It was found that the contact pressure (P1) between the initial support and the surrounding rock and the contact pressure (P2) between the initial support of the leading tunnel were distributed in the direction of vertical stratification, while the contact pressures (P1 and P2) of the lagging tunnel were different due to the excavation unloading of the leading tunnel. The maximum stress positions of the initial support of the leading tunnel and the lagging tunnel were located in the left arch waist and the vault, respectively. However, the maximum stress position of the secondary lining was generally located on the side wall. The research results presented herein can guide future tunnel construction projects. Full article
(This article belongs to the Section Building Structures)
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<p>Location of the Yongfeng Tunnel.</p>
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<p>Yongfeng Tunnel face: (<b>a</b>) tunnel face physical map; (<b>b</b>) schematic diagram of tunnel face.</p>
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<p>Typical hazard photos of the Yongfeng Tunnel: (<b>a</b>) twisted side wall arches; (<b>b</b>) arch waist sprayed concrete falling blocks.</p>
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<p>Yongfeng Tunnel excavation schematic diagram.</p>
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<p>Test section construction process start times.</p>
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<p>Layout of the monitoring section.</p>
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<p>Layout and installation of on-site monitoring points: (<b>a</b>) schematic diagram of monitoring point layout; (<b>b</b>) installation of soil pressure box; (<b>c</b>) installation of surface strain gauge; (<b>d</b>) installation of embedded transformer.</p>
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<p>Layout and installation of on-site monitoring points: (<b>a</b>) schematic diagram of monitoring point layout; (<b>b</b>) installation of soil pressure box; (<b>c</b>) installation of surface strain gauge; (<b>d</b>) installation of embedded transformer.</p>
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<p>Time-dependent variation in contact pressure P<sub>1</sub> of the test section: (<b>a</b>) ZK8 + 965 section of the left tunnel; (<b>b</b>) K8 + 622 section of the right tunnel.</p>
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<p>Spatial distribution of contact pressure P<sub>1</sub> of the test section (Units: kPa); (<b>a</b>) K8 + 622 section of the right tunnel; (<b>b</b>) ZK8 + 965 section of the left tunnel.</p>
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<p>Typical asymmetric deformation of the Yongfeng Tunnel: (<b>a</b>) physical image of asymmetric deformation in tunnels; (<b>b</b>) schematic diagram of asymmetric deformation in tunnels.</p>
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<p>Strain variation in the initial support arch of a typical cross−section of a tunnel over time: (<b>a</b>) inside the arch frame ZK8 + 965 section in the left tunnel; (<b>b</b>) the outer side of the arch frame ZK8 + 965 section in the left tunnel; (<b>c</b>) inside the arch frame K8 + 622 section in the right tunnel; (<b>d</b>) outer side of the arch frame K8 + 622 section of the right tunnel.</p>
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<p>Strain variation in the initial support arch of a typical cross−section of a tunnel over time: (<b>a</b>) inside the arch frame ZK8 + 965 section in the left tunnel; (<b>b</b>) the outer side of the arch frame ZK8 + 965 section in the left tunnel; (<b>c</b>) inside the arch frame K8 + 622 section in the right tunnel; (<b>d</b>) outer side of the arch frame K8 + 622 section of the right tunnel.</p>
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<p>Spatial distribution of strain in a typical cross-section arch frame of the tunnel (Units: με): (<b>a</b>) inside the arch frame ZK8 + 965 section in the left tunnel; (<b>b</b>) the outer side of the arch frame ZK8 + 965 section in the left tunnel; (<b>c</b>) inside the arch frame K8 + 622 section in the right tunnel; (<b>d</b>) outer side of the arch frame K8 + 622 section of the right tunnel.</p>
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<p>Spatial distribution of strain in a typical cross-section arch frame of the tunnel (Units: με): (<b>a</b>) inside the arch frame ZK8 + 965 section in the left tunnel; (<b>b</b>) the outer side of the arch frame ZK8 + 965 section in the left tunnel; (<b>c</b>) inside the arch frame K8 + 622 section in the right tunnel; (<b>d</b>) outer side of the arch frame K8 + 622 section of the right tunnel.</p>
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<p>Initial support concrete peeling of the tunnel.</p>
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<p>Time-dependent variation in contact pressure P<sub>2</sub> of the test section: (<b>a</b>) K8 + 622 section of the right tunnel; (<b>b</b>) ZK8 + 965 section of the left tunnel.</p>
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<p>Spatial distribution of contact pressure P<sub>2</sub> of the test section (Units: kPa).</p>
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<p>Comparison of the loads shared by the initial support and secondary lining of the test sections: (<b>a</b>) load-sharing ratio of K8 + 622 section in the right tunnel; (<b>b</b>) load-sharing ratio of ZK8 + 965 section in the left tunnel.</p>
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<p>Strain variations in the secondary lining concrete in the test sections over time: (<b>a</b>) inside the secondary lining of section ZK8 + 965 in the left tunnel; (<b>b</b>) outer side of the secondary lining of section ZK8 + 965 in the left tunnel; (<b>c</b>) inside the secondary lining of section K8 + 622 in the right tunnel; (<b>d</b>) outer side of the secondary lining of section K8 + 622 in the right tunnel.</p>
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<p>Spatial distributions of stress in the secondary lining concrete of the tunnel test sections: (<b>a</b>) inside the secondary lining of section ZK8 + 965 in the left tunnel; (<b>b</b>) outer side of the secondary lining of section ZK8 + 965 in the left tunnel; (<b>c</b>) inside the secondary lining of section K8 + 622 in the right tunnel; (<b>d</b>) outer side of the secondary lining of section K8 + 622 in the right tunnel.</p>
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15 pages, 6167 KiB  
Article
Experimental Study on the Isolation Effect of an Active Flame-Proof Device on a Gas Explosion in an Underground Coal Mine
by Zichao Huang, Rongjun Si, Guangcai Wen, Songling Jin and Shaoqian Xue
Fire 2023, 6(12), 468; https://doi.org/10.3390/fire6120468 - 13 Dec 2023
Cited by 5 | Viewed by 1934
Abstract
Passive explosion-isolation facilities in underground coal mines, such as explosion-proof water troughs and bags, face challenges aligned with current trends in intelligent and unmanned technologies, due to restricted applicability and structural features. Grounded in the propagation laws and disaster mechanisms of gas explosions, [...] Read more.
Passive explosion-isolation facilities in underground coal mines, such as explosion-proof water troughs and bags, face challenges aligned with current trends in intelligent and unmanned technologies, due to restricted applicability and structural features. Grounded in the propagation laws and disaster mechanisms of gas explosions, the device in this paper enables accurate identification of explosion flames and pressure information. Utilizing a high-speed processor for rapid logical processing enables judgments within 1 ms. Graded activation of the operating mechanism is enabled by the device. The tunnel flame-proof device’s flame-extinguishing agent has a continuous action time of 6075 ms. Experiments on the active flame-proof effect of a 100 m3 gas explosion were conducted using a cross-sectional 7.2 m2 large-tunnel test system. With a dosage of 5.6 kg/m2, the powder flame-extinguishing agent completely extinguished the explosion flame within a 20 m range behind the explosion isolator. Numerical calculations unveiled the gas-phase chemical suppression mechanism of the powder flame-extinguishing agent NH4H2PO4 in suppressing methane explosions. Building upon these findings, application technology for active flame-proofing was developed, offering technical support for intelligent prevention and control of gas explosions in underground coal mines. Full article
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<p>Diagram of the active flameproof device.</p>
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<p>(<b>a</b>) flame sensor (<b>b</b>) pressure sensor.</p>
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<p>The controller.</p>
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<p>The active flame-proof device.</p>
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<p>Distribution of cloud curtain of powders.</p>
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<p>Layout of the large laneway test system.</p>
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<p>Schematic diagram showing the layout of instrument niches.</p>
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<p>Flame velocity and explosion pressure for gas explosion.</p>
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<p>Variation of flame propagation in 100 m<sup>3</sup> gas flameproof experiments.</p>
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<p>Effects on explosion pressure under different concentrations of powders.</p>
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<p>Variation of mole fraction of components in 9.5 vol% methane explosion.</p>
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<p>A total of 5.6 kg/m<sup>2</sup> NH<sub>4</sub>H<sub>2</sub>PO<sub>4</sub> inhibits the change in mole fraction of each component in 9.5 vol% methane explosion.</p>
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<p>Effects of NH<sub>4</sub>H<sub>2</sub>PO<sub>4</sub> on H, O, and OH at different concentrations.</p>
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<p>Rate of production of P due to reactions in CH<sub>4</sub>/NH<sub>4</sub>H<sub>2</sub>PO<sub>4</sub>/air flame.</p>
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28 pages, 13162 KiB  
Article
Experimental Investigation on the Influence of Temperature on Coal and Gas Outbursts
by Xiaoqi Wang, Xiaohan Qi, Heng Ma and Shengnan Li
Processes 2023, 11(6), 1687; https://doi.org/10.3390/pr11061687 - 1 Jun 2023
Cited by 3 | Viewed by 1432
Abstract
With the increasing mining depth, the dynamic disaster of coal and gas outbursts in coal mines has become increasingly prominent, and the bursting liability of coal and rock mass in deep coal seam mining is a necessary condition for the occurrence of rock [...] Read more.
With the increasing mining depth, the dynamic disaster of coal and gas outbursts in coal mines has become increasingly prominent, and the bursting liability of coal and rock mass in deep coal seam mining is a necessary condition for the occurrence of rock burst and an important index to measure the failure of coal and rock mass. Thermal damage leads to rock instability and failure, which seriously influences the safe and efficient operation of coal mines. To investigate the effect of thermal damage on the bursting liability of deep coals, the burst tendency index of standard coal was measured after subjecting it to thermal damage at different temperatures. The effects of different thermal damage temperatures on the uniaxial compressive strength index, dynamic failure duration, stiffness ratio index, effective impact energy index, residual energy index change rate, and impact energy velocity of the coal and the influence of the post-peak failure mode of the coal were evaluated. The results revealed that the uniaxial compressive strength of the coal generally decreased with increasing thermal damage temperature. At temperatures above 200 °C, the strength significantly decreased. The comprehensive impact property index indicated that, with increasing thermal impact temperature, the burst tendency first increased up to the peak value at 200 °C and then gradually decreased. With the increase in the thermal damage temperature, the burst tendency decreased and disappeared in the temperature range of 250–300 °C, and the failure mode of the coal changed from brittle failure to brittle plastic failure, and finally ductile failure. The influence of thermal damage on coal bursting liability is studied, which provides a theoretical basis for preventing and controlling coal impact ground pressure hazards. Full article
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<p>Thermal damage to the coal body [<a href="#B18-processes-11-01687" class="html-bibr">18</a>].</p>
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<p>Thermal damage to the coal body [<a href="#B18-processes-11-01687" class="html-bibr">18</a>].</p>
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<p>Load-time curve of coal rock specimens.</p>
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<p>Total stress–strain curve.</p>
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<p>Source of coal samples.</p>
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<p>The detection principle of non-metallic ultrasonic detector [<a href="#B40-processes-11-01687" class="html-bibr">40</a>].</p>
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<p>Experimental process.</p>
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<p>Thermal damage coal <span class="html-italic">σ</span>–<span class="html-italic">ε</span> curve.</p>
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<p>Process of coal and rock damage under thermomechanical coupling [<a href="#B41-processes-11-01687" class="html-bibr">41</a>].</p>
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<p>Changes in the mechanical parameters of coal rock with temperature.</p>
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<p>Change in coal rock mass with temperature after thermal damage.</p>
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<p>Meso-image of damage to coal after thermal damage at different temperatures.</p>
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<p>Change in primary crack width after thermal damage.</p>
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<p>Change in primary crack width after thermal damage.</p>
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<p>Mesoscopic photos and fracture extraction of coal rock end faces after thermal damage.</p>
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<p>Mosaic diagram of the crack network on the full face after thermal damage.</p>
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<p>Correlation between quantitative depiction factors and intensity of thermal damage.</p>
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<p>Variation of fracture width, fracture density, wave velocity, mass, and density with temperature.</p>
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<p>Uniaxial compressive strength of coal rock after thermal damage at different temperatures.</p>
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<p>Temperature distribution in the affected area of thermal damage.</p>
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<p>Coal rock bursting liability index at different temperatures.</p>
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<p>Stress–strain curve of a typical coal.</p>
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<p>Macroscopic failure state of coal after thermal damage at different temperatures.</p>
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22 pages, 13679 KiB  
Article
Distribution Law of Mine Ground Pressure via a Microseismic Sensor System
by Zilong Zhou, Yinghua Huang and Congcong Zhao
Minerals 2023, 13(5), 649; https://doi.org/10.3390/min13050649 - 8 May 2023
Cited by 4 | Viewed by 1826
Abstract
The particularity of the occurrence conditions of the ore body in Xianglushan Tungsten Mine determines the mining form of the ore body and the particularity of the ground pressure distribution after mining. A large number of mined-out areas, supporting pillars, and natural and [...] Read more.
The particularity of the occurrence conditions of the ore body in Xianglushan Tungsten Mine determines the mining form of the ore body and the particularity of the ground pressure distribution after mining. A large number of mined-out areas, supporting pillars, and natural and human factors have formed a comprehensive disaster environment. This can lead to frequent disasters, great harm, serious economic losses, and the necessity of severe environmental protection operations in the mine. This study aims to establish a microseismic monitoring system according to the actual needs of the site and to reveal the law of ground pressure manifestation by analyzing the distribution characteristics of microseismic events; to analyze the occurrence stability of the goaf; further verify it laterally; and finally, demonstrate the feasibility and effectiveness of the microseismic monitoring sensor system. In view of the current ground pressure problem in Xiangxuoshan tungsten mine, the stress change characteristics during dynamic mining and filling were obtained through comparative analysis of different perspectives such as surface change, energy release, and mining loudness, and key areas were identified to improve the reliability of underground ground pressure monitoring. The results show that the process of deposit destabilization caused by ore body mining can be further analyzed by microseismic monitoring, and the combination of surface settlement, mining intensity, and energy release can verify the accuracy of stress distribution and ground pressure transfer. In turn, the general reliability of underground ground pressure hazard warning is empirically improved. Full article
(This article belongs to the Special Issue Application of Emerging Technology in Mining Operations)
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<p>(<b>a</b>) Mine location. (<b>b</b>) Topographic and geomorphic map. (<b>c</b>) Overall drawing of goaf, surface, and important buildings. (<b>d</b>) Spatial distribution map of main rock strata.</p>
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<p>Plane distribution of microseismic monitoring sensor and exploration line position relationship.</p>
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<p>Network topology diagram of microseismic monitoring system in Xianglushan Tungsten Mine (Paladin expansion architecture diagram).</p>
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<p>Spatial distribution of all microseismic positioning events that occurred underground from October 2012 to September 2014 (top view).</p>
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<p>Characteristic distribution of microseismic monitoring events. (<b>a</b>) Time and magnitude. (<b>b</b>) NumA number of events at different times in a single day. (<b>c</b>) Location accuracy of microseismic events (X-axis: positioning error; Y-axis: number of events; Red line: corresponding percentage).</p>
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<p>Daily ground pressure trend chart in the study period (daily cumulative trigger events and daily cumulative level value). (<b>a</b>) October 2011–December 2011. (<b>b</b>) January 2012–December 2012. (<b>c</b>) January 2013–September 2013.</p>
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<p>Daily ground pressure trend chart in the study period (daily cumulative trigger events and daily cumulative level value). (<b>a</b>) October 2011–December 2011. (<b>b</b>) January 2012–December 2012. (<b>c</b>) January 2013–September 2013.</p>
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<p>The relationship between the concentration bands of microseismic monitoring events and the profile positions of the main ground pressure manifestation points. ((<b>a</b>) Top view; (<b>b</b>) Section B-B; (<b>c</b>) C-C profile; (<b>d</b>) D-D profile).</p>
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<p>Regional distribution of stress transfer and concentration after large-scale collapse event.</p>
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<p>The relationship between the position distribution of ground pressure appearance and the area of Class IV goaf.</p>
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<p>Trend chart of the relationship between monthly ore output and monthly single-channel events (October 2010~September 2014, 48 months).</p>
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<p>Trend chart of the relationship between cumulative ore yield and the cumulative total number of single-channel events. (October 2010~September 2014, 48 months).</p>
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<p>Spatial distribution of microseismic location events. (<b>a</b>) October 2012~June 2013. (<b>b</b>) July 2013~September 2013. (<b>c</b>) October 2013~September 2014.</p>
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<p>Trend chart of the relationship between monthly ore output and a monthly number of positioning events (October 2012~September 2014, 24 months).</p>
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<p>Trend chart of the relationship between cumulative ore yield and the cumulative total number of positioning events (October 2012~September 2014, 24 months).</p>
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<p>Evolution diagram of space–time distribution of underground microseismic positioning events.</p>
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<p>Development trend of total settlement at each measuring point on the surface (May 2013~May 2014).</p>
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<p>Change the trend of ground pressure before and after large-area collapse.</p>
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<p>Trend chart of downhole microseismic positioning event rate and cumulative energy release rate per year.</p>
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<p>Spatial distribution of underground microseismic positioning events in 2018.</p>
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<p>Spatial concentration relationship diagram of underground microseismic positioning events in 2018.</p>
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17 pages, 61371 KiB  
Article
Adaptive Modification of TBM Tunneling in Coal Mine Roadway and Disaster Control Technology for Complex Geological Conditions
by Hongtao Wang, Changkuan Zhou, Qingquan Bi, Hao Zhu, Ziwei Ding and Chenchen Zhang
Processes 2023, 11(5), 1389; https://doi.org/10.3390/pr11051389 - 4 May 2023
Cited by 3 | Viewed by 3070
Abstract
Many mines have introduced the tunnel boring machine (TBM) to improve the efficiency of rock tunneling because of its high propulsion capacity, safe working space, and intelligent equipment. In contrast, the operating environment of coal mines is often under complex geological conditions such [...] Read more.
Many mines have introduced the tunnel boring machine (TBM) to improve the efficiency of rock tunneling because of its high propulsion capacity, safe working space, and intelligent equipment. In contrast, the operating environment of coal mines is often under complex geological conditions such as high ground stress, large depth of burial, high temperature, water damage, and large construction angles, making it difficult to apply traditional TBMs in coal mines. Taking the TBM of Gaojiapu Coal Mine of Zhengtong Coal Industry as an example, this paper introduces the coal mine adaptability transformation and construction technology optimization of the equipment, optimizes the design of the roadheader department of the equipment, increases the support operation space and reduces the empty roof distance, shortens the length of the whole machine and transforms the walking structure to enhance its maneuverability and convenience, and applies the monorail crane to the auxiliary transportation system of TBM. This paper proposes the theory of TBM tunneling disaster control in complex geology, research and discussion on TBM jamming, impact pressure, cooling prevention and control, and water damage in complex geological conditions. The results obtained were applied at the Zhengtong Coal Industry in engineering practice, resulting in an average monthly progress of more than 200 m, which is more than three times more efficient than full rock heaving, and also reduces the work intensity of tunneling personnel and promotes the development of coal mining. The final part of the article looks at the future application of TBMs in coal mining. Full article
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<p>Number of TBMs in use.</p>
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<p>Background map of Zhengtong Coal Industry project.</p>
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<p>TBM composition and system.</p>
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<p>Segmented zoning large support work platform.</p>
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<p>Modified walking structure.</p>
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<p>Monorail crane arrangement.</p>
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<p>TBM intelligent tunneling process.</p>
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<p>Deep buried roadway TBM roadway excavation space profile.</p>
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<p>Schematic diagram of joint protection measures for impact ground pressure.</p>
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<p>Comparison of the effect of ZTT6530-TBM boring footage.</p>
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<p>Site plan of underground TBM in Zhengtong Coal Industry.</p>
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<p>TBM intelligent overall research system.</p>
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22 pages, 12436 KiB  
Article
Optimization of Destressing Parameters of Water Jet Slits in Rock Burst Coal Seams for Deep Mining
by Yingyuan Wen, Anye Cao, Chuanhong Ding, Yang Hu, Chengchun Xue, Yujie Peng and Shikang Song
Processes 2023, 11(4), 1056; https://doi.org/10.3390/pr11041056 - 31 Mar 2023
Cited by 4 | Viewed by 1473
Abstract
Mining in deep coal seams is characterized by high ground stress, often accompanied by coal and rock dynamic disasters such as rock bursts. High-pressure water jet slotting technology can relieve pressure and reduce the stress concentration on the coal seam, which is one [...] Read more.
Mining in deep coal seams is characterized by high ground stress, often accompanied by coal and rock dynamic disasters such as rock bursts. High-pressure water jet slotting technology can relieve pressure and reduce the stress concentration on the coal seam, which is one of the effective pressure relief measures in rock burst coal seams for deep mining. Reasonable pressure relief parameters are an important influence on the effectiveness of pressure relief achieved by a high-pressure water jet. This paper uses theoretical analysis and numerical simulation to analyze the principle of high-pressure water jet pressure relief and rock burst prevention, and a theoretical calculation model of six key pressure relief parameters is constructed. The optimal values of each pressure relief parameter are obtained, and good pressure relief effect is achieved in a certain rock burst risk area. The research results showed that (1) parameters such as drilling spacing–slit radius, drilling depth–slit length, and slotting cutting spacing–slotting cutting width have a great influence on the pressure relief effect, and there is a significant interaction between the parameters, while the strength of the coal seam also has a significant effect on the selection of the parameters and the pressure relief effect. (2) The displacement, vertical stress, plastic zone, elastic energy, impact risk index, and the cost of pressure relief can be used to comprehensively evaluate the quality and economy of the pressure relief effect, and the optimal pressure relief parameters of high-pressure water jet slotting under specific physical force properties of the coal seam can be obtained. (3) High-pressure water jet technology with optimal pressure relief parameters was applied to No. 3 connecting the roadway in the 730 mining area of a mine studied, and field monitoring showed that indicators such as microseismic frequency, total energy, and spatial concentration significantly decreased. Moreover, the accuracy of the theoretical model of high-pressure water jet slotting pressure relief parameter optimization is reliable in the relevant technical parameters of coal seam slotting. It is believed that the model can be used to design the high-pressure water jet slotting pressure relief parameters in deep rock burst coal seams. Full article
(This article belongs to the Special Issue Advanced Technologies of Deep Mining)
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<p>Diagram of energy variation before and after pressure relief.</p>
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<p>Diagram of stress variation before and after pressure relief.</p>
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<p>Schematic diagram of the theoretical model of the parameters of drill hole spacing and slot radius.</p>
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<p>Schematic diagram of the theoretical model of drilling depth–slot length parameter.</p>
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<p>Schematic diagram of the theoretical model of slot cutting distance–slot cutting width parameter.</p>
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<p>Schematic diagram of FLAC3D model and pressure relief area.</p>
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<p>Displacement field change law diagram under different parameters: drilling spacing and slit radius (<b>a</b>), drilling depth and slit length (<b>b</b>), and slot cutting spacing and slot cutting width (<b>c</b>).</p>
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<p>The effective pressure-releasing area of the coal rib zone in the roadway with the borehole spacing of 4.0 m (<b>a</b>), 5.0 m (<b>b</b>), and 6.0 m (<b>c</b>). I–VI represent the cross section along the strike, with a spacing of 10 m.</p>
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<p>The vertical stress curve of the coal rib zone in the roadway with the borehole spacing of 4.0 m (<b>a</b>), 5.0 m (<b>b</b>), and 6.0 m (<b>c</b>).</p>
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<p>The change law of the plastic zone under different parameters: drilling spacing and slit radius (<b>a</b>), drilling depth and slit length (<b>b</b>), and slot cutting spacing and slot cutting width (<b>c</b>).</p>
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<p>Diagram of the change law of elastic energy density under different parameters: drilling spacing and slit radius (<b>a</b>), drilling depth and slit length (<b>b</b>), and slot cutting spacing and slot cutting width (<b>c</b>). Evaluation of roadway impact risk index.</p>
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<p>Variation chart of K value of shock risk index under different parameters: drilling spacing and slit radius (<b>a</b>), drilling depth and slit length (<b>b</b>), and slot cutting spacing and slot cutting width (<b>c</b>).</p>
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<p>Stress field change cloud map (<b>a</b>); stress field change curve (<b>b</b>).</p>
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<p>Stress field change cloud map (<b>a</b>); stress field change curve (<b>b</b>).</p>
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<p>Layout of centralized roadway in 730 mining area.</p>
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<p>Layout of water jet slotting pressure relief.</p>
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<p>Change law of stress field of roadway surrounding coal with different strengths: stress cloud (<b>a</b>) and stress curves (<b>b</b>).</p>
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<p>Variation chart of K value of shock risk index under different coal strengths.</p>
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13 pages, 4802 KiB  
Article
Numerical Simulation of Assembly Process and Sealing Reliability of T-Rubber Gasket Pipe Joints
by Yang Han, Guoqi Han, Dongqiao Li, Junfeng Duan and Yewen Yan
Sustainability 2023, 15(6), 5160; https://doi.org/10.3390/su15065160 - 14 Mar 2023
Cited by 2 | Viewed by 1847
Abstract
Underground pipelines are vital parts to urban water supply, gas supply, and other lifeline systems, affecting the sustainable development of cities to a great extent. The pipeline joint, which is a weak link, may be seriously damaged during natural disasters such as earthquakes. [...] Read more.
Underground pipelines are vital parts to urban water supply, gas supply, and other lifeline systems, affecting the sustainable development of cities to a great extent. The pipeline joint, which is a weak link, may be seriously damaged during natural disasters such as earthquakes. The failure of pipe joints can cause leakage accidents, resulting in system failure and interruption, and even some secondary disasters. Herein, based on uniaxial and plane tensile test results of a T-rubber gasket material, the assembly process and sealing performance of a T-rubber gasket joint of a ductile iron pipe are numerically simulated using the Ogden third-order strain energy density function to fit the material constant. The simulation accounts for severe nonlinearities, including large deformations, hyperelasticity, and complex contacts. The effects of the assembly friction coefficient, assembly depth, and radial clearance deviation of the socket and spigot on the seal contact pressure are analyzed. The results suggest that the entire history of the deformation and stress variations during assembly can be clearly visualized and accurately calculated. For the different friction coefficients, the assembly depth corresponding to the sliding friction condition of the spigot pipe was 74 mm, while the minimum pushing force required to assemble the T-rubber gasket joint of a DN300 ductile iron pipe was 6.8 kN at the ideal situation with a friction coefficient of 0. The effective contact pressure of the rubber gasket seepage surface under various operating conditions is much higher than the normal pressure of municipal pipelines, thus indicating that the rubber gasket joint exhibits the ideal sealing performance. Furthermore, a certain deviation, which is about 20 mm, is allowed for the assembly depth of the rubber gasket joint such that the axial displacement of the pipe joint can be adapted under an earthquake or ground displacement. Full article
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<p>Calculated dimensions of pipe joint and T-rubber gasket: (<b>a</b>) T-rubber gasket joint; (<b>b</b>) T- rubber gasket.</p>
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<p>FEM model.</p>
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<p>Tests for determining basic mechanical properties of T-rubber gasket materials: (<b>a</b>) Uniaxial tensile test (UT); (<b>b</b>) Plane tensile test (PT).</p>
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<p>Test results of two types of rubber: (<b>a</b>) Shore hardness of 50; (<b>b</b>) Shore hardness of 88.</p>
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<p>Comparison between test and fitting results: (<b>a</b>) Shore hardness of 50; (<b>b</b>) Shore hardness of 88.</p>
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<p>Installation process of T-shaped rubber gasket (units: MPa).</p>
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<p>Assembly process of pipe interface (units: MPa).</p>
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<p>Relationship between propulsion force and assembly depth during intubation installation.</p>
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<p>Contact pressure of seepage surface of T-shaped rubber gasket: (<b>a</b>) Contact surface of the spigot; (<b>b</b>) Contact surface of the socket.</p>
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<p>Relationship between propulsion force and assembly depth under different friction coefficients.</p>
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<p>Contact pressure distributions of T-shaped rubber gasket under different friction coefficients: (<b>a</b>) Contact surface of the spigot; (<b>b</b>) Contact surface of the socket.</p>
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<p>Contact pressure distribution of T-shaped rubber ring under different assembly depths: (<b>a</b>) Contact surface of the spigot; (<b>b</b>) Contact surface of the socket.</p>
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<p>Contact pressure distribution of T-shaped rubber ring under different values of radial clearance: (<b>a</b>) Contact surface of the spigot; (<b>b</b>) Contact surface of the socket.</p>
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19 pages, 11932 KiB  
Article
Case Study and Risk Assessment of Water Inrush Disaster in Qingdao Metro Line 4
by Yongjun Zhang, Weiguo Zhang, Huangshuai Xia, Bin Gong, Fei Liu, Jiahui Zhang and Kai Liu
Appl. Sci. 2023, 13(6), 3384; https://doi.org/10.3390/app13063384 - 7 Mar 2023
Cited by 5 | Viewed by 2208
Abstract
Water inrush is one of the most frequent and catastrophic hazards in tunnel engineering, and poses serious threats to the safety of engineering and personnel. This paper presents a case study of a water inrush and ground collapse in the Qingdao Metro Line [...] Read more.
Water inrush is one of the most frequent and catastrophic hazards in tunnel engineering, and poses serious threats to the safety of engineering and personnel. This paper presents a case study of a water inrush and ground collapse in the Qingdao Metro Line 4, which caused a cave-in with the diameter and depth of about 30 m and 6 m, respectively. Based on the field data and numerical modelling, the causes of the disaster were analyzed. A numerical model was used to analyze the changes of surface settlement, vault settlement and water pressure during the tunnel excavation. The results of the study indicate that the cause of this disaster was the failure of the tunnel vault surrounding rock caused by the weakening of the tunnel surrounding rock and water pressure, which in turn triggered the water inrush in the tunnel and caused a large volume of surface collapse. As the tunnel was excavated from the slightly weathered area to the strongly weathered area, the vault settlement increased, and the influence zone expanded towards the surface due to the continuous decrease in the strength of the surrounding rock. In particular, a negative pore water pressure zone was formed in a certain area around the tunnel during the water inrush. The negative pressure zone caused the surrounding groundwater to converge here, leading to an increase in the amount of water inflow, which also increased the scope and scale of the impact of this disaster. A risk assessment method for water inrush in tunnels is proposed. According to the geological and engineering characteristics of Qingdao area, the evaluation index system of tunnel water inrush risk was established. An RBF neural network was improved by gray correlation analysis and a PAM clustering algorithm to establish the tunnel water inrush risk assessment model. Comparing the evaluation data with the actual data, the prediction data of a traditional RBF neural network and a BP neural network, the accuracy and reliability of the model were verified. This study has value in reducing the occurrence of water inrush in a composite formation tunnel. Full article
(This article belongs to the Special Issue Fracture and Failure of Jointed Rock Mass)
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<p>The location of Jing-sha section.</p>
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<p>Geological profile of Jing-sha section.</p>
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<p>Tunnel section and support parameters (unit: mm).</p>
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<p>Location of the disaster.</p>
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<p>Ground collapse.</p>
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<p>Evolution process of the disaster.</p>
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<p>Tunnel after cleaning.</p>
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<p>Rainfall in Shazikou area.</p>
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<p>Numerical model of tunnel.</p>
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<p>Settlement of the ground.</p>
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<p>Cave-in zone in model.</p>
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<p>Distribution of monitoring points.</p>
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<p>Surface settlement.</p>
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<p>Surface deformation at monitoring points.</p>
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<p>Settlement of the tunnel vault.</p>
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<p>Groundwater seepage.</p>
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<p>Negative pressure zone.</p>
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<p>Improved RBF neural network.</p>
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