Nothing Special   »   [go: up one dir, main page]

You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (321)

Search Parameters:
Keywords = shaking table test

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
15 pages, 8677 KiB  
Article
The Seismic Dynamic Response Characteristics of the Steep Bedding Rock Slope Are Investigated Using the Hilbert–Huang Transform and Marginal Spectrum Theory
by Zhuan Li, Longfei Li, Kun Huang, Lei Xue, Tong Jiang, Jinyu Dong, Chuang Wang and Hao Ding
Appl. Sci. 2025, 15(6), 3078; https://doi.org/10.3390/app15063078 - 12 Mar 2025
Abstract
The steep bedding rock slope (SBRS) is easily destabilized under earthquake action, so it is crucial to research the features of this kind of slope’s seismic dynamic reactions in order to prevent and mitigate disasters. Few researchers have examined these slopes from an [...] Read more.
The steep bedding rock slope (SBRS) is easily destabilized under earthquake action, so it is crucial to research the features of this kind of slope’s seismic dynamic reactions in order to prevent and mitigate disasters. Few researchers have examined these slopes from an energy perspective, and the majority of recent research focuses on the displacement and acceleration response patterns of these kinds of slopes under seismic action. This work performed an extended study of a dynamic numerical simulation and systematically analyzed the dynamic response characteristics of this type of slope under earth quake conditions from the standpoint of energy utilizing the Hilbert–Huang transform (HHT) and marginal spectrum (MSP) theory. This was carried out in response to the slope’s shaking table test from our previous work. The findings indicate the following: (1) The ‘elevation effect’ and ‘surface effect’ are clearly seen in the acceleration amplification factor (AAF) of the slope during an earthquake. The selectivity of the slope acceleration’s Fourier spectrum amplification impact indicates that the elevation amplification effect makes the high-frequency peak’s amplitude more noticeable. (2) Although the effect of the weak layer is more pronounced in the high-frequency portion, both the elevation and the weak layer affect the seismic wave’s Hilbert energy. As a result, the weak layer at the top of the slope is usually destroyed first during an earthquake. (3) Prior to the locked segment’s penetration failure at the toe of the SBRS, the Hilbert energy of the high-frequency band of the marginal spectrum at the monitoring point on the top portion of the segment will rise sharply. This suggests that the upper portion of the locked segment has begun to sustain damage. There are antecedents even when there is no penetration failure. Full article
Show Figures

Figure 1

Figure 1
<p>The steep bedding rock slope model. (unit: mm).</p>
Full article ">Figure 2
<p>Numerical model of the slope. (unit: mm).</p>
Full article ">Figure 3
<p>Boundary conditions of numerical simulation.</p>
Full article ">Figure 4
<p>Monitoring point layout. (unit: mm).</p>
Full article ">Figure 5
<p>Time history curve and Fourier spectrum of 4 seismic wave compressed 4 times: (<b>a</b>) time history curve and (<b>b</b>) Fourier spectrum.</p>
Full article ">Figure 6
<p><span class="html-italic">AAF</span> response law: (<b>a</b>) <span class="html-italic">AAF</span> response law along elevations at different elevation monitoring points in the slope; (<b>b</b>) <span class="html-italic">AAF</span> response law along slope directions at the same elevation monitoring points in the slope.</p>
Full article ">Figure 7
<p>Fourier spectrum of different monitoring points on slope surface under action of 0.1 g seismic wave: (<b>a</b>) Fourier spectrum of monitoring point M1. (<b>b</b>) Fourier spectrum of monitoring point M7. (<b>c</b>) Fourier spectrum of monitoring point M12. (<b>d</b>) Fourier spectrum of monitoring point M16. (<b>e</b>) Fourier spectrum of monitoring point M19.</p>
Full article ">Figure 8
<p>Flowchart of EMD method.</p>
Full article ">Figure 9
<p>IMF component time-course curves and residuals for monitoring point M1.</p>
Full article ">Figure 10
<p>Time history curves and 3D Hilbert spectra of steep bedding rock slope at different monitoring points under action of 0.1 g seismic wave.</p>
Full article ">Figure 11
<p>Time history curves and 3D Hilbert spectra of homogeneous slope at different monitoring points under action of 0.1 g seismic wave.</p>
Full article ">Figure 12
<p>Steps of slope damage state study using marginal spectra.</p>
Full article ">Figure 13
<p>Marginal spectra of monitoring points under action of seismic waves of different amplitudes: (<b>a</b>) marginal spectrum of monitoring point M4 and (<b>b</b>) marginal spectrum of monitoring point M9.</p>
Full article ">
13 pages, 2333 KiB  
Article
Deformation Study of Strongly Structured Clays Considering Damage Effects
by Yansong Shi, Bin Tang, Yinchuan Wang and Yanhua Xie
Appl. Sci. 2025, 15(6), 2969; https://doi.org/10.3390/app15062969 - 10 Mar 2025
Viewed by 84
Abstract
Settlement values calculated per the current “Code for Design of Building Foundations” demonstrate significant discrepancies when compared to the actual measured settlement values observed after disturbing a strong, cohesive soil foundation. This inconsistency introduces uncertainties in engineering design. To investigate the deformation behavior [...] Read more.
Settlement values calculated per the current “Code for Design of Building Foundations” demonstrate significant discrepancies when compared to the actual measured settlement values observed after disturbing a strong, cohesive soil foundation. This inconsistency introduces uncertainties in engineering design. To investigate the deformation behavior of highly structured clay, which is particularly sensitive to disturbances, this study employed a shaking table to subject undisturbed soil samples to various disturbance levels. The shaking frequencies were set at 20 Hz, 35 Hz, and 50 Hz, with durations of 30, 60, 90, and 120 min. One-dimensional compression tests were performed to examine the relationship between soil deformation parameters and overburden pressure, alongside an analysis of the deformation process and pore structure damage in the highly structured clay. A fitting process using Origin software was utilized to develop a deformation modulus calculation model that accounted for disturbance and damage effects, aiming to enhance the accuracy of foundation settlement predictions. The results indicate that the proposed empirical formula for the deformation modulus is highly reliable, which is essential for improving the precision of foundation settlement calculations and ensuring engineering safety. Full article
Show Figures

Figure 1

Figure 1
<p><span class="html-italic">e-logP</span> curves of each group of samples under different vibration frequencies and times.</p>
Full article ">Figure 2
<p>The evolution law of the change in damage degree <span class="html-italic">ΔW</span> with pressure <span class="html-italic">P</span>. (<b>a</b>) The relationship between the disturbance degree <span class="html-italic">ΔW</span> and pressure <span class="html-italic">P</span> for three types of disturbed samples. (<b>b</b>) The relationship between <span class="html-italic">ΔW</span> and pressure <span class="html-italic">P</span> for samples with a disturbance degree of 38.6%.</p>
Full article ">Figure 3
<p>Variation in compression parameters with overburden pressure for different disturbance degrees. (<b>a</b>) The relationship between the compression coefficient a<sub>v</sub> and pressure <span class="html-italic">P</span> for samples with five different disturbance degrees. (<b>b</b>) The relationship between the compressive modulus <span class="html-italic">E<sub>s</sub></span> and pressure <span class="html-italic">P</span> for samples with five different disturbance degrees.</p>
Full article ">Figure 4
<p>Variation in compression-related parameters with the damage degree of samples with different disturbance degrees. (<b>a</b>) The relationship between the compression coefficient a<sub>v</sub> and the disturbance degree <span class="html-italic">D</span>, as well as the damage degree <span class="html-italic">W.</span> (<b>b</b>) The relationship between the compressive modulus <span class="html-italic">E<sub>s</sub></span> and the disturbance degree <span class="html-italic">D</span>, as well as the damage degree <span class="html-italic">W</span>.</p>
Full article ">Figure 5
<p>Relationship between structural damage coefficients <span class="html-italic">A</span><sub>1</sub>, <span class="html-italic">A</span><sub>2</sub>, and <span class="html-italic">A</span><sub>3</sub> and disturbances. (<b>a</b>) Fitting relationship between the structural damage coefficient <span class="html-italic">A</span><sub>1</sub> and the disturbance degree. (<b>b</b>) Fitting relationship between the structural damage coefficient <span class="html-italic">A</span><sub>2</sub> and the disturbance degree. (<b>c</b>) Fitting relationship between the structural damage coefficient <span class="html-italic">A</span><sub>3</sub> and the disturbance degree.</p>
Full article ">Figure 6
<p>Comparison between experimental data and model calculation results. (<b>a</b>) Comparison of experimental data and model calculation results for the sample with <span class="html-italic">D</span> = 30.2%. (<b>b</b>) Comparison of experimental data and model calculation results for the sample with <span class="html-italic">D</span> = 42.7%.</p>
Full article ">
26 pages, 5337 KiB  
Article
Seismic Performance of a Full-Scale Moment-Frame Housing System Constructed with Recycled Tetra Pak (Thermo-Stiffened Polymeric Aluminum Composite)
by Federico Nuñez-Moreno, Daniel M. Ruiz, Sebastián Aristizabal-Vargas, Camilo Gutierrez-Quintero and Yezid A. Alvarado
Buildings 2025, 15(5), 813; https://doi.org/10.3390/buildings15050813 - 4 Mar 2025
Viewed by 188
Abstract
To address the growing need for sustainable and resilient building materials, the seismic performance of a full-scale moment-frame housing system constructed entirely from recycled Tetra Pak panels (thermo-stiffened polymeric aluminum or TSPA) was evaluated. The study presents an innovative approach to utilizing waste [...] Read more.
To address the growing need for sustainable and resilient building materials, the seismic performance of a full-scale moment-frame housing system constructed entirely from recycled Tetra Pak panels (thermo-stiffened polymeric aluminum or TSPA) was evaluated. The study presents an innovative approach to utilizing waste materials for structural applications, emphasizing the lightweight and modular nature of the system. The methodology included material characterization, finite element modeling (FEM), gravitational loading tests, and biaxial shake table tests. Seismic tests applied ground motions corresponding to 31-, 225-, 475-, and 2500-year return periods. Drift profiles and acceleration responses confirmed the elastic behavior of the system, with no residual deformation or structural damage observed, even under simultaneous peak ground accelerations of 0.37 g (x-direction) and 0.52 g (y-direction). Notably, the structure accelerations were amplified to 1.10 g in the y-direction (at the top of the structure), exceeding the design spectrum acceleration of 0.7 g without compromising stiffness or resistance. These results underscore the robust seismic performance of the system. The finite element model of the housing module was validated with the experimental results which predicted the structural response, including natural periods, accelerations, and drift profiles (up to 89% accuracy). The novelty of this research is that it is one of the first to perform shaking table seismic testing on a full-scale housing module made of recycled materials (Tetra Pak), specifically under biaxial motions, providing a unique evaluation of its performance under multidirectional seismic demands. This research also highlights the potential of recycled Tetra Pak materials for sustainable construction, providing an adaptable solution for earthquake-prone regions. The modular design allows for rapid assembly and disassembly, supporting scalability and the circular economy principle. Full article
Show Figures

Figure 1

Figure 1
<p>Proposed methodology to assess the seismic performance of a full-scale moment-frame housing system constructed with recycled Tetra Pak.</p>
Full article ">Figure 2
<p>Structural configuration of the housing system: (<b>a</b>) Constructed house implementing the structural solution; (<b>b</b>) Structural elevation and plan (units in mm); (<b>c</b>) 3D model; (<b>d</b>) Beam–column connection model.</p>
Full article ">Figure 3
<p>Failure of beam-to-column connection after pseudo-static testing.</p>
Full article ">Figure 4
<p>Finite element model developed in the software SAP 2000: (<b>a</b>) complete model of the structure including columns, connections, beams, and girders; (<b>b</b>) isolated model of the beam-to-column connection (units in MPa).</p>
Full article ">Figure 5
<p>(<b>a</b>) Area types within the structural floor plan; (<b>b</b>) prototype with the areas divided and DAQ systems during the test; (<b>c</b>) dead weight applied according to the established protocol; (<b>d</b>) visible deflection when applied load reached 100% of the service magnitude at 100 h.</p>
Full article ">Figure 6
<p>Experimental average deflections recorded at girders’ midspan.</p>
Full article ">Figure 7
<p>Ground motion records in the x- and y-directions: (<b>a</b>) Acceleration records; (<b>b</b>) pseudo-acceleration response spectrum at 5% damping. The red circles in the acceleration records indicate the maximum value.</p>
Full article ">Figure 8
<p>Location of sensors used in seismic tests. (<b>a</b>) Photograph; (<b>b</b>) plan view.</p>
Full article ">Figure 9
<p>(<b>a</b>) Full-scale prototype mounted on the MTS biaxial shaking table prior to testing; (<b>b</b>) 3D schematic representation of the experimental setup.</p>
Full article ">Figure 10
<p>Acceleration recorded at point C. The red circles in the acceleration records indicate the maximum value.</p>
Full article ">Figure 11
<p>Fast Fourier Transform (FFT) of the recorded signals at the end of each seismic motion protocol in the x-direction, compared with the fundamental frequency predicted by the FEM.</p>
Full article ">Figure 12
<p>Drift time histories for all the intensities, based on the total displacements registered by the laser extensometers (x-direction). The red circles in the acceleration records indicate the maximum value.</p>
Full article ">Figure 13
<p>Maximum drift profiles for each phase of the seismic protocol, compared with the FEM predictions in both the x- and y-directions.</p>
Full article ">Figure 14
<p>Acceleration profiles throughout the seismic motion protocol, compared with FEM results in both directions of motion.</p>
Full article ">Figure 15
<p>Full-scale housing units constructed using the proposed recycled Tetra Pak-based structural system as part of the spin-off initiative.</p>
Full article ">
26 pages, 15681 KiB  
Article
Applications of Optical Fiber Sensors in Geotechnical Engineering: Laboratory Studies and Field Implementation at the Acropolis of Athens
by Elena Kapogianni and Michael Sakellariou
Sensors 2025, 25(5), 1450; https://doi.org/10.3390/s25051450 - 27 Feb 2025
Viewed by 229
Abstract
The current study investigates the feasibility and performance of Fiber Bragg Grating (FBG) optical sensors in geotechnical engineering applications, aiming to demonstrate their broader applicability across different scales, from controlled laboratory experiments to real-world field implementations. More specifically, the research evaluates the sensors’ [...] Read more.
The current study investigates the feasibility and performance of Fiber Bragg Grating (FBG) optical sensors in geotechnical engineering applications, aiming to demonstrate their broader applicability across different scales, from controlled laboratory experiments to real-world field implementations. More specifically, the research evaluates the sensors’ ability to monitor key parameters—strain, temperature, and acceleration—under diverse loading conditions, including static, dynamic, seismic, and centrifuge loads. Within this framework, laboratory experiments were conducted using the one-degree-of-freedom shaking table at the National Technical University of Athens to assess sensor performance during seismic loading. These tests provided insights into the behavior of geotechnical physical models under earthquake conditions and the reliability of FBG sensors in capturing dynamic responses. Additional testing was performed using the drum centrifuge at ETH Zurich, where physical models experienced gravitational accelerations up to 100 g, including impact loads. The sensors successfully captured the loading conditions, reflecting the anticipated model behavior. In the field, optical fibers were installed on the Perimeter Wall (Circuit Wall) of the Acropolis of Athens to monitor strain, temperature, and acceleration in real-time. Despite the challenges posed by the archaeological site’s constraints, the system gathered data over two years, offering insights into the structural behavior of this historic monument under environmental and loading variations. The Acropolis application serves as a key field example, illustrating the use of these sensors in a complex and historically significant site. Finally, the study details the test setups, sensor types, and data acquisition techniques, while addressing technical challenges and solutions. The results demonstrate the effectiveness of FBG sensors in geotechnical applications and highlight their potential for future projects, emphasizing their value as tools for monitoring structural integrity and advancing geotechnical engineering. Full article
(This article belongs to the Special Issue Optical Fiber Sensors Used for Civil Engineering)
Show Figures

Figure 1

Figure 1
<p>Laboratory equipment: (<b>a</b>) single-degree-of-freedom force generator, (<b>b</b>) amplifier, (<b>c</b>) data acquisition card, (<b>d</b>) LabView software, (<b>e</b>) interrogator, (<b>f</b>) optical fiber sensors.</p>
Full article ">Figure 2
<p>Unrestrained sensor, sensor with protective sheathing, and sensor attached to a geotextile.</p>
Full article ">Figure 3
<p>Saturated sand slope: model and geometrical characteristics.</p>
Full article ">Figure 4
<p>Saturated sand slope: model behavior and resulting failure mechanism.</p>
Full article ">Figure 5
<p>Saturated sand slope (<b>left</b>) and lower acceleration response (<b>right</b>): strain variation recorded by the optical fiber sensors.</p>
Full article ">Figure 6
<p>Pipe reinforcement effects: side view of the model (<b>left</b>) and the scaled pipe with optical fiber sensor placement (<b>right</b>).</p>
Full article ">Figure 7
<p>Pipe reinforcement effects: model structural response to applied loading, including scour at the slope base and shear initiation at the existing tensile crack.</p>
Full article ">Figure 8
<p>Pipe reinforcement effects: strain variation recorded by the optical fiber sensor.</p>
Full article ">Figure 9
<p>Reinforced vertical slope: cross-section and failure mechanism.</p>
Full article ">Figure 10
<p>Reinforced vertical slope: strain variation recorded by two optical fiber sensors.</p>
Full article ">Figure 11
<p>Scaled reinforced slope model (<b>left</b>), reinforcement layers incorporating optical fiber sensors (<b>middle</b>), and model cross-section (<b>right</b>).</p>
Full article ">Figure 12
<p>Test setup (<b>left</b>) and reinforced slope in the centrifuge (<b>right</b>).</p>
Full article ">Figure 13
<p>Strains captured during Test No. 1 (<b>left</b>) and strains captured during Test No. 2 (<b>right</b>).</p>
Full article ">Figure 14
<p>Flow vectors of soil grains, with vectors colored black representing 1 g and vectors colored red indicating 50 g (<b>left</b>). Normalized strain values calculated via GeoPIV and locations of the FBG sensors (<b>right</b>).</p>
Full article ">Figure 15
<p>Numerical model of full-scale slope (<b>left</b>) and maximum shear strains in Layers No. 8 and No. 4, at different SRF levels (<b>right</b>), using FEM.</p>
Full article ">Figure 16
<p>Cross-section of the southern part of the Circuit Wall (<b>left</b>) [<a href="#B29-sensors-25-01450" class="html-bibr">29</a>]. A panoramic view of the Acropolis Hill, the Circuit Wall, and the Parthenon from the southeast (<b>right</b>).</p>
Full article ">Figure 17
<p>Locations of the installed optical fiber sensors on the South Wall (<b>left</b>) and the plan view of Acropolis Hill (<b>right</b>) [<a href="#B29-sensors-25-01450" class="html-bibr">29</a>].</p>
Full article ">Figure 18
<p>Strain and temperature FBG sensors on the Wall, including anchoring plates (<b>left</b>) and acceleration FBG sensor (<b>right</b>).</p>
Full article ">Figure 19
<p>Configuration of Fiber Bragg Grating sensors, arranged in series and parallel on the South Circuit Wall.</p>
Full article ">Figure 20
<p>Comparison of strain variation with and without thermal compensation.</p>
Full article ">Figure 21
<p>Comparison of strain variation at the IN and OUT positions for the same smart rods.</p>
Full article ">Figure 22
<p>Strain variation of four sensors at both IN and OUT positions, with thermal compensation.</p>
Full article ">Figure 23
<p>Acceleration levels recorded by the single-axis acceleration sensor with and without thermal compensation using the initial wavelength value (<b>left</b>) and temperature variation (<b>right</b>).</p>
Full article ">Figure 24
<p>Acceleration levels, both with and without thermal compensation, using the mean wavelength as the reference value (<b>left</b>), and a comparison of results with the initial wavelength as the reference value versus those with the mean wavelength as the reference value (<b>right</b>).</p>
Full article ">Figure 25
<p>Calibration procedure for the monitoring system at the Acropolis.</p>
Full article ">
19 pages, 7382 KiB  
Article
Influence of Bracing Systems on Pile Design Parameters: A Structure–Soil–Pile Interaction Approach
by Seyma Teberik, Fatih Celik and Ersin Aydin
Buildings 2025, 15(5), 764; https://doi.org/10.3390/buildings15050764 - 26 Feb 2025
Viewed by 154
Abstract
Structural damages occurred during any earthquake arise not only from structural design flaw but also from the variability of sub-base soil behavior and the foundation system. For this reason, structure–soil–pile interaction has an important place in evaluating the behavior of a structure under [...] Read more.
Structural damages occurred during any earthquake arise not only from structural design flaw but also from the variability of sub-base soil behavior and the foundation system. For this reason, structure–soil–pile interaction has an important place in evaluating the behavior of a structure under dynamic effects. Bored pile application, which is one of the deep foundation systems, is a widely used method in the world to transfer the loads coming from the structure to the ground safely in problematic grounds. For this reason, in pile foundation system designs, how bored pile foundation systems will affect the structural design under earthquake loads is considered an important issue. In particular, how diagonally braced steel structures with piled raft foundation systems will behave under earthquake effects has been evaluated as a subject that needs to be examined. For this reason, this situation was evaluated as the main purpose of this study. The effect of the bored pile systems designed in different orientations on the behavior of diagonally braced steel structures during an earthquake under kinematic and inertial effects was investigated in detail within the scope of this study. Numerical analyses, based on data from shake table experiments on a scaled superstructure, examine various pile design scenarios. Experimental base shear force measurements informed the development of numerical scenarios, which varied pile lengths and inter-pile distances while maintaining constant pile diameters. This study analyzed the kinematic and inertial effects on the piles, offering insights into their structural behavior under seismic conditions. The increase in pile length and the increase in the distance between the piles caused a significant increase in the bending moment and shear force, which have an important place in pile design. Full article
(This article belongs to the Section Building Structures)
Show Figures

Figure 1

Figure 1
<p>Single-axis shaking table.</p>
Full article ">Figure 2
<p>East–West response spectrum of 3 different earthquake records scaled to the design spectrum: (<b>a</b>) not matched and (<b>b</b>) matched.</p>
Full article ">Figure 3
<p>Adopted shaking events in this study: (<b>a</b>) no scaled and scaled Manjil Abbar Earthquakes; (<b>b</b>) no scaled and scaled Hektor Mine Earthquakes; (<b>c</b>) no scaled and scaled Düzce Earthquakes.</p>
Full article ">Figure 4
<p>Model structure for shaking table experiments.</p>
Full article ">Figure 5
<p>Peak acceleration–frequency graph of floors under harmonic load.</p>
Full article ">Figure 6
<p>Steel building frame and structure response.</p>
Full article ">Figure 7
<p>Calculated p–y curves for the scaled soil model: (<b>a</b>) variation in p–y values of SM soil with depth; (<b>b</b>) variation in p–y values of SW soil with depth.</p>
Full article ">Figure 8
<p>Maximum displacements along the depth for the different earthquake data. (<b>a</b>) Maximum displacements of real soil. (<b>b</b>) Maximum displacements of scaled soil.</p>
Full article ">Figure 9
<p>Variation in peak ground acceleration with depth for 3 different earthquakes. (<b>a</b>) Variation in peak acceleration for real soil (<b>b</b>) Variation in peak acceleration for scaled soil.</p>
Full article ">Figure 10
<p>Variation in the ideal soil profile with depth according to different earthquake data: (<b>a</b>) real soil and (<b>b</b>) scaled Soil.</p>
Full article ">Figure 11
<p>Peak accelerations with and without braces according to the story: (<b>a</b>) Manjil Abbar Earthquake; (<b>b</b>) Hektor Mine Earthquake; (<b>c</b>) Düzce Earthquake.</p>
Full article ">Figure 12
<p>Effect of base shear for no braced and braced frames under different earthquakes.</p>
Full article ">
19 pages, 8391 KiB  
Article
Dynamic Response and Failure Mechanisms of Micropiles in Accumulation Landslides Under Earthquake
by Nan Li, Keqiang He, Jingkun Li, Ruian Wu, Tianxun Xu and Jinfeng Cao
Buildings 2025, 15(4), 539; https://doi.org/10.3390/buildings15040539 - 10 Feb 2025
Viewed by 359
Abstract
Micropiles are a new type of retaining structure widely used in slope engineering due to their small footprint, low vibration and noise emissions, and simple construction process. This study aims to investigate the dynamic response and failure mechanisms of micropiles used in retaining [...] Read more.
Micropiles are a new type of retaining structure widely used in slope engineering due to their small footprint, low vibration and noise emissions, and simple construction process. This study aims to investigate the dynamic response and failure mechanisms of micropiles used in retaining accumulation landslides under seismic loading through shaking table tests and numerical simulation. The failure process, observed phenomena, and bending moments of micropiles in the test were discussed, and the shear force distribution of micropiles was thoroughly analyzed based on numerical simulation. The findings reveal that the natural frequency of the entire landslide system exhibits a gradual decrease and tends to stabilize under sustained earthquake excitation. The bending moment of micropiles follows an “S” shape, with a larger magnitude at the top and a smaller one at the bottom. Additionally, the shear force distribution exhibits a “W-shaped” pattern. Damage to micropiles mainly includes the flexural shear combination failure at the load-bearing section (which occurs within 1.4–3.6 times the pile diameter above the sliding surface) and the shear failure near the sliding surface. This study provides significant insights into the strengthening mechanisms of micropiles under seismic action and offers valuable guidance for the design of slope support. Full article
Show Figures

Figure 1

Figure 1
<p>Accumulation landslide reinforced by micropiles: (<b>a</b>) dimensions of landslide model; (<b>b</b>) layout of micropiles.</p>
Full article ">Figure 2
<p>The preparation process of the landslide model: (<b>a</b>) mixing the simulated soil; (<b>b</b>) fixing the micropiles and making the sliding bed; (<b>c</b>) forming the sliding surface; (<b>d</b>) creating the sliding mass; (<b>e</b>) installing the top slab; and (<b>f</b>) securing the landslide model to the shaking table.</p>
Full article ">Figure 3
<p>Distribution of measuring points: (<b>a</b>) layout of the accelerometer in the landslide model; (<b>b</b>) layout of strain gauge on the micropiles.</p>
Full article ">Figure 4
<p>The micropile-supported landslide model in the seismic numerical simulation.</p>
Full article ">Figure 5
<p>The acceleration time history and spectral response of measuring point A2: (<b>a</b>) acceleration time history in the test; (<b>b</b>) acceleration time history in the numerical simulation; (<b>c</b>) spectral response in the test; and (<b>d</b>) spectral response in the numerical simulation.</p>
Full article ">Figure 6
<p>The acceleration time history and spectral response of A4: (<b>a</b>) acceleration time history in the test; (<b>b</b>) acceleration time history in the numerical simulation; (<b>c</b>) spectral response in the test; and (<b>d</b>) spectral response in the numerical simulation.</p>
Full article ">Figure 7
<p>Failure process and fracture development of the landslide: (<b>a</b>) before sliding; (<b>b</b>) after sliding.</p>
Full article ">Figure 8
<p>Destruction process of the landslide model: (<b>a</b>) Overall view of the slope failure area; (<b>b</b>) after a 0.8 g, 16 Hz sine wave; (<b>c</b>) after 1.0 g Wenchuan waves; and (<b>d</b>) the damaged landslide model after shaking tests.</p>
Full article ">Figure 8 Cont.
<p>Destruction process of the landslide model: (<b>a</b>) Overall view of the slope failure area; (<b>b</b>) after a 0.8 g, 16 Hz sine wave; (<b>c</b>) after 1.0 g Wenchuan waves; and (<b>d</b>) the damaged landslide model after shaking tests.</p>
Full article ">Figure 9
<p>Destruction of the micropiles in the accumulation landslide after the earthquake: (<b>a</b>) center cross-section of the landslide; (<b>b</b>) overall failure profile of each pile.</p>
Full article ">Figure 10
<p>The changing curve of the natural frequency after each white noise scanning test.</p>
Full article ">Figure 11
<p>Bending moment distribution curve of the front pile: (<b>a</b>) at 0.1–0.6 g; (<b>b</b>) at 0.1–1.0 g.</p>
Full article ">Figure 12
<p>Bending moment distribution curve of the middle pile: (<b>a</b>) at 0.1–0.6 g; (<b>b</b>) at 0.1–1.0 g.</p>
Full article ">Figure 13
<p>Bending moment distribution curve of the rear pile: (<b>a</b>) at 0.1–0.6 g; (<b>b</b>) at 0.1–1.0 g.</p>
Full article ">Figure 14
<p>Shear force distribution curves of the micropiles: (<b>a</b>) the rear pile; (<b>b</b>) the middle pile; and (<b>c</b>) the front pile.</p>
Full article ">Figure 15
<p>Comparison of the shear force and the bending moment of the micropiles under a 0.6 g Wenchuan wave: (<b>a</b>) the rear pile; (<b>b</b>) the middle pile; and (<b>c</b>) the front pile.</p>
Full article ">
29 pages, 22165 KiB  
Article
Shake Table Tests on Scaled Masonry Building: Comparison of Performance of Various Micro-Electromechanical System Accelerometers (MEMS) for Structural Health Monitoring
by Giuseppe Occhipinti, Francesco Lo Iacono, Giuseppina Tusa, Antonio Costanza, Gioacchino Fertitta, Luigi Lodato, Francesco Macaluso, Claudio Martino, Giuseppe Mugnos, Maria Oliva, Daniele Storni, Gianni Alessandroni, Giacomo Navarra and Domenico Patanè
Sensors 2025, 25(4), 1010; https://doi.org/10.3390/s25041010 - 8 Feb 2025
Viewed by 520
Abstract
This study presents the results of an experimental investigation conducted on a 2:3 scale model of a two-story stone masonry building. We tested the model on the UniKORE L.E.D.A. lab shake table, simulating the Mw 6.3 earthquake ground motion that struck L’Aquila, Italy, [...] Read more.
This study presents the results of an experimental investigation conducted on a 2:3 scale model of a two-story stone masonry building. We tested the model on the UniKORE L.E.D.A. lab shake table, simulating the Mw 6.3 earthquake ground motion that struck L’Aquila, Italy, on 6 April 2009, with progressively increasing peak acceleration levels. We installed a network of accelerometric sensors on the model to capture its structural behaviour under seismic excitation. Medium-to lower-cost MEMS accelerometers (classes A and B) were compared with traditional piezoelectric sensors commonly used in Structural Health Monitoring (SHM). The experiment assessed the structural performance and damage progression of masonry buildings subjected to realistic earthquake inputs. Additionally, the collected data provided valuable insights into the effectiveness of different sensor types and configurations in detecting key vibrational and failure patterns. All the sensors were able to accurately measure the dynamic response during seismic excitation. However, not all of them were suitable for Operational Modal Analysis (OMA) in noisy environments, where their self-noise represents a crucial factor. This suggests that the self-noise of MEMS accelerometers must be less than 1 µg/√Hz, or preferably below 0.5 µg/√Hz, to obtain good results from the OMA. Therefore, we recommend ultra-low-noise sensors for detecting differences in the structural behaviour before and after seismic events. Our findings provide valuable insights into the seismic vulnerability of masonry structures and the effectiveness of sensors in detecting damage. The management of buildings in earthquake-prone areas can benefit from these specifications. Full article
Show Figures

Figure 1

Figure 1
<p>Design dimensions of the four facades of the specimen (units: mm).</p>
Full article ">Figure 2
<p>Plan view (units: mm) and construction of the wooden floors.</p>
Full article ">Figure 3
<p>Shaking table system at L.E.D.A. Research Institute: (<b>a</b>) single tables; (<b>b</b>) connected tables.</p>
Full article ">Figure 4
<p>Specimen under test placed on the shaking table. From left to right: (<b>a</b>) facades 1 and 4; (<b>b</b>) facades 3 and 2.</p>
Full article ">Figure 5
<p>Comparison of the power spectral densities (PSDs) of self-noise for the three MEMS accelerometers used: Analog Device ADXL355 (red line), Safran-Colibrys VS1002 (blue line), and Seiko-Epson M-A352 QMEMS (orange line). The PSDs of self-noises for the Safran-Colibrys SI1003 (grey line) and of the Episensor ES-T force balance accelerometer (grey line), commonly used for seismology and SHM measurements, are also shown. Lastly, the seismic low-noise model and seismic high-noise model curves (thick black lines) are shown, along with the spectra of earthquakes of different sizes that were measured 10 km from the epicentre (point lines) (modified after Patanè et al. 2024 [<a href="#B2-sensors-25-01010" class="html-bibr">2</a>]).</p>
Full article ">Figure 6
<p>Distribution of the sensors installed on the individual facades of the building under testing: (<b>a</b>) facade 1; (<b>b</b>) facade 2; (<b>c</b>) facade 3; (<b>d</b>) facade 4. Refer to <a href="#sensors-25-01010-t004" class="html-table">Table 4</a> for the sensor codes.</p>
Full article ">Figure 7
<p>Scaled reference accelerograms for a seismic input at 50% of ZPA and the associated Fourier Amplitude Spectra (FAS).</p>
Full article ">Figure 8
<p>Average HVSR curves at the nine accelerometric stations equipped with Seiko-Epson M-A352 sensors.</p>
Full article ">Figure 9
<p>Stabilization diagram of estimation state space models of sensors with (<b>a</b>) 0.2 µg/√Hz, (<b>b</b>) 18-6-2 µg/√Hz @ 1-10-100 Hz, (<b>c</b>) 7 µg/√Hz, and (<b>d</b>) 25 µg/√Hz during the hydraulic pumps’ activation.</p>
Full article ">Figure 10
<p>Stabilization diagram of estimation state space models of sensors with 0.2 µg/√Hz and modal shape.</p>
Full article ">Figure 11
<p>Comparison of the first frequency (<b>a</b>) before shaking test, and (<b>b</b>) at the end of shaking test.</p>
Full article ">Figure 12
<p>Seismic signal recorded during the experiment with different inputs from 10% to 50% (<b>a</b>). Stockwell transform, non-normalized (<b>b</b>) and normalized (<b>c</b>), for the signal inputs of 10%, 30%, and 50% recorded at accelerometer M5.</p>
Full article ">Figure 13
<p>PFAs and PSAs measured at the stations installed at the first (<b>a</b>) and second (<b>b</b>) levels of the structure, normalized with respect to the ground-level PGAs (measured at station M8), for the different percentages of ZPA (%g) experienced during the shaking table test.</p>
Full article ">Figure 14
<p>Elastic response spectra calculated for increasing seismic input at the stations installed along the vertical V1 of the structure and for the three directions of motion. In each plot, the values of the period corresponding to the PSA at stations M5 and M6 (arbitrarily chosen as the reference for levels 2 and 1, respectively) are also shown.</p>
Full article ">Figure 15
<p>Normalized response spectra with respect to the values measured at the M8 station installed at the ground level.</p>
Full article ">Figure 16
<p>Qualitative damage distribution on all four facades.</p>
Full article ">Figure 17
<p>Details of two damaged areas: (<b>a</b>) the lower right corner of facade 3, and (<b>b</b>) the right masonry wall of facade 4.</p>
Full article ">Figure 18
<p>Planar seismic response for each sensor type on vertical V1 at each level.</p>
Full article ">Figure 18 Cont.
<p>Planar seismic response for each sensor type on vertical V1 at each level.</p>
Full article ">
18 pages, 8791 KiB  
Article
Seismic Response Analysis of a Conceptual Hollow Concrete Gravity Dam Containing Saturated Sandy Soil
by Fuyou Zhang, Yuchen Wei, Yun Song and Yumeng Zhao
Appl. Sci. 2025, 15(3), 1439; https://doi.org/10.3390/app15031439 - 30 Jan 2025
Viewed by 609
Abstract
Seismic isolation and damping technologies, though extensively used in buildings, are less common in large hydraulic structures, underscoring the importance of researching seismic mitigation methods for these constructions. This research first establishes that saturated sandy soil can act as a damping material through [...] Read more.
Seismic isolation and damping technologies, though extensively used in buildings, are less common in large hydraulic structures, underscoring the importance of researching seismic mitigation methods for these constructions. This research first establishes that saturated sandy soil can act as a damping material through experimental and theoretical analysis. Subsequently, a novel hollow concrete gravity dam containing saturated sandy soil is proposed, utilizing the EOS (equation of state) subroutine for viscous fluids to model the liquefied sand. The findings indicate that the new-type dam exhibits a reduction in displacement of approximately 20% along the flow direction under an 8-degree seismic event compared to conventional gravity dams. This decrease correlates inversely with the characteristic wave speed of the saturated sandy soil, while the energy dissipation capacity of the saturated sandy soil is directly proportional to the soil layer’s thickness. Finally, a small-scale shaking table test revealed that saturated sandy soil effectively reduces displacement and acceleration at the dam crest. These findings were corroborated by numerical simulations, which further substantiated the reliability of both the experimental and simulated data. Utilizing saturated sandy soil for energy dissipation and seismic damping in dams offers cost benefits, high durability, and significant effectiveness, representing a promising direction for the advancement of seismic mitigation in concrete gravity dams. Full article
(This article belongs to the Special Issue Structural Health Monitoring for Concrete Dam)
Show Figures

Figure 1

Figure 1
<p>Cross-sectional view of a hollow concrete gravity dam containing saturated sandy soil.</p>
Full article ">Figure 2
<p>The damping ratio versus shear strain curve of saturated sandy soil.</p>
Full article ">Figure 3
<p>The mesh division diagram of the finite-element calculation model.</p>
Full article ">Figure 4
<p>Artificial seismic wave time history curves.</p>
Full article ">Figure 5
<p>Characteristic point distribution diagram.</p>
Full article ">Figure 6
<p>Displacement of characteristic point set A.</p>
Full article ">Figure 7
<p>Displacement of characteristic point set B.</p>
Full article ">Figure 8
<p>The displacement–time history plot of characteristic point <span class="html-italic">C</span>.</p>
Full article ">Figure 9
<p>The velocity–time history plot of characteristic point <span class="html-italic">C</span>.</p>
Full article ">Figure 10
<p>The viscous dissipation energy of liquefied saturated sandy soil.</p>
Full article ">Figure 11
<p>Experimental model.</p>
Full article ">Figure 12
<p>Schematic diagram of a simple harmonic.</p>
Full article ">Figure 13
<p>The displacement–time history plot of point <span class="html-italic">C</span> under the Case 1 condition.</p>
Full article ">Figure 14
<p>The acceleration–time history plot of point <span class="html-italic">C</span> under the Case 1 condition.</p>
Full article ">Figure 15
<p>The displacement–time history plot of point <span class="html-italic">C</span> under the Case 2 condition.</p>
Full article ">Figure 16
<p>The acceleration–time history plot of point <span class="html-italic">C</span> under the Case 2 condition.</p>
Full article ">Figure 17
<p>The simulated displacement–time history plot of point <span class="html-italic">C</span> under the Case 1 condition.</p>
Full article ">Figure 18
<p>The simulated acceleration–time history plot of point <span class="html-italic">C</span> under the Case 1 condition.</p>
Full article ">
28 pages, 9307 KiB  
Article
Application Framework and Optimal Features for UAV-Based Earthquake-Induced Structural Displacement Monitoring
by Ruipu Ji, Shokrullah Sorosh, Eric Lo, Tanner J. Norton, John W. Driscoll, Falko Kuester, Andre R. Barbosa, Barbara G. Simpson and Tara C. Hutchinson
Algorithms 2025, 18(2), 66; https://doi.org/10.3390/a18020066 - 26 Jan 2025
Viewed by 1789
Abstract
Unmanned aerial vehicle (UAV) vision-based sensing has become an emerging technology for structural health monitoring (SHM) and post-disaster damage assessment of civil infrastructure. This article proposes a framework for monitoring structural displacement under earthquakes by reprojecting image points obtained courtesy of UAV-captured videos [...] Read more.
Unmanned aerial vehicle (UAV) vision-based sensing has become an emerging technology for structural health monitoring (SHM) and post-disaster damage assessment of civil infrastructure. This article proposes a framework for monitoring structural displacement under earthquakes by reprojecting image points obtained courtesy of UAV-captured videos to the 3-D world space based on the world-to-image point correspondences. To identify optimal features in the UAV imagery, geo-reference targets with various patterns were installed on a test building specimen, which was then subjected to earthquake shaking. A feature point tracking-based algorithm for square checkerboard patterns and a Hough Transform-based algorithm for concentric circular patterns are developed to ensure reliable detection and tracking of image features. Photogrammetry techniques are applied to reconstruct the 3-D world points and extract structural displacements. The proposed methodology is validated by monitoring the displacements of a full-scale 6-story mass timber building during a series of shake table tests. Reasonable accuracy is achieved in that the overall root-mean-square errors of the tracking results are at the millimeter level compared to ground truth measurements from analog sensors. Insights on optimal features for monitoring structural dynamic response are discussed based on statistical analysis of the error characteristics for the various reference target patterns used to track the structural displacements. Full article
(This article belongs to the Special Issue Algorithms for Image Processing and Machine Vision)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>The 6-story mass timber building specimen for the shake table test program of NHERI Converging Design Project (Phase II) at the LHPOST6.</p>
Full article ">Figure 2
<p>Example camera view of the plan-view videos (the first video frame from MID 15 test video) and zoom-in view (3×) for reference targets with various patterns.</p>
Full article ">Figure 3
<p>Reference target patterns and dimensions. The three patterns in row one were used as stationary targets and the seven patterns in row two were used as moving targets.</p>
Full article ">Figure 4
<p>Procedure to detect corner points and extract the target center in the first video frame for square checkerboard patterns (example shown for a Type 2 target).</p>
Full article ">Figure 5
<p>Results of corner points detection and target center extraction for different square checkerboard patterns.</p>
Full article ">Figure 6
<p>Detected circles with center points by Hough Transform and the final target center for the concentric circular pattern (Type 4 pattern).</p>
Full article ">Figure 7
<p>Target detection results in the first video frame (distortion corrected) from plan-view video of MID 15. Note that each cross represents the geometric center of the reference target.</p>
Full article ">Figure 8
<p>Framework adopted herein for UAV vision-based earthquake-induced structural displacement monitoring.</p>
Full article ">Figure 9
<p>Point cloud model of the test scene at the LHPOST6 from photogrammetry and illustration of the 3-D world coordinates (the yellow dot represents the center of the shake table platen, which is the origin of the world coordinates, and the blue lines represent the XYZ coordinate axes). Note that Z = 0 is defined as the top of the shake table platen.</p>
Full article ">Figure 10
<p>Camera translational motion trajectory for the plan-view video of MID 15.</p>
Full article ">Figure 11
<p>Reference target distribution in five regions of the roof plan and the selected analog sensors utilized as ground truth measurements.</p>
Full article ">Figure 12
<p>Displacement time series comparison between UAV-based video analysis and ground truth measurements obtained from double-integrated accelerations using analog sensors. (<b>a</b>,<b>b</b>) are results of a Type 2 target (black-and-white checkerboard) close to the center of mass of the building for Ferndale earthquake tests. (<b>c</b>,<b>d</b>) are results of a Type 4 target (black-and-white concentric circles) close to the northeast corner of the building for Northridge earthquake tests.</p>
Full article ">Figure 13
<p>Average root-mean-square errors (RMSEs) of the tracking results for the roof-level displacement for various reference target patterns under each test.</p>
Full article ">Figure 14
<p>Relationship between normalized average root-mean-square errors (RMSEs) and normalized achieved peak input accelerations (PIAs).</p>
Full article ">Figure 15
<p>Root-mean-square error (RMSE) statistics for various reference target patterns in displacement tracking of the 6-story mass timber building specimen under 67% and 100% MCE<sub>R</sub> tests (<span class="html-italic">n</span> is the number of RMSE data points for each pattern; numbers in red color indicate the median value of each data group).</p>
Full article ">Figure 16
<p>Statistics for normalized root-mean-square errors (RMSEs) with respect to normalized tile dimension (<span class="html-italic">D</span>/Δ<sub>GT,max</sub>) of black-and-white checkerboard targets. Note that the box plot is the statistics for the data points within each bin. Numbers in red represent the medians for data in the first and last bin.</p>
Full article ">Figure 17
<p>Displacement results comparing multiple reference targets at the northeast corner of the roof level (region 2) from the 67% MCE<sub>R</sub> Ferndale earthquake test (MID 12). Robustness of the orthogonal-shaped patterns is readily revealed by comparing Type 1–Type 3 to Type 4 patterns.</p>
Full article ">
18 pages, 4027 KiB  
Article
Analysis of the Structural Behavior Evolution of Reinforced Soil Retaining Walls Under the Combined Effects of Rainfall and Earthquake
by Xinxin Li, Xiaoguang Cai, Sihan Li, Xin Huang, Chen Zhu and Honglu Xu
Buildings 2025, 15(1), 115; https://doi.org/10.3390/buildings15010115 - 31 Dec 2024
Viewed by 864
Abstract
Major earthquakes and rainfall may occur at the same time, necessitating further investigation into the dynamic characteristics and responses of reinforced soil retaining walls subjected to the combined forces of rainfall and seismic activity. Three sets of shaking table tests on model retaining [...] Read more.
Major earthquakes and rainfall may occur at the same time, necessitating further investigation into the dynamic characteristics and responses of reinforced soil retaining walls subjected to the combined forces of rainfall and seismic activity. Three sets of shaking table tests on model retaining walls were designed, a modular reinforced earth retaining wall was utilized as the subject of this study, and a custom-made device was made to simulate rainfall conditions of varying intensities. These tests monitored the rainwater infiltration pattern, macroscopic phenomena, panel displacement, tension behavior, dynamic characteristics, and acceleration response of the modular reinforced earth retaining wall during vibration under different rainfall intensities. The results indicated the following. (1) Rainwater infiltration can be categorized into three stages: rapid rise, rapid decline, and slow decline to stability. The duration for infiltration to reach stability increases with greater rainfall. (2) An increase in rainfall intensity enhances the seismic stability of the retaining wall panel, as higher rainfall intensity results in reduced sand leakage from the panel, thereby diminishing panel deformation during vibration. (3) Increased rainfall intensity decreases the shear strength of the soil, leading to a greater load on the reinforcement. (4) The natural vibration frequencies of the three groups of retaining walls decreased by 0.21%, 0.54%, and 2.326%, respectively, indicating some internal damage within the retaining walls, although the degree of damage was not severe. Additionally, the peak displacement of the panel increased by 0.91 mm, 0.63 mm, and 0.61 mm, respectively. (5) The amplification effect of rainfall on internal soil acceleration is diminished, with this weakening effect becoming more pronounced as rainfall intensity increases. These research findings can provide a valuable reference for multi-disaster risk assessments of modular reinforced soil retaining walls. Full article
(This article belongs to the Section Building Structures)
Show Figures

Figure 1

Figure 1
<p>Grain size distribution curve.</p>
Full article ">Figure 2
<p>Connection mode between reinforcement and panel.</p>
Full article ">Figure 3
<p>Rainfall device.</p>
Full article ">Figure 4
<p>Flow diagram of different pump tube speeds.</p>
Full article ">Figure 5
<p>Instrument layout.</p>
Full article ">Figure 6
<p>Time history of El Centro ground motion.</p>
Full article ">Figure 7
<p>Time history of white noise.</p>
Full article ">Figure 8
<p>Wetting front during and after rainfall: (<b>a</b>) R1; (<b>b</b>) R2; (<b>c</b>) R3.</p>
Full article ">Figure 8 Cont.
<p>Wetting front during and after rainfall: (<b>a</b>) R1; (<b>b</b>) R2; (<b>c</b>) R3.</p>
Full article ">Figure 9
<p>Time history curve of moisture content: (<b>a</b>) R1; (<b>b</b>) R2; (<b>c</b>) R3.</p>
Full article ">Figure 10
<p>Panel sand leakage during vibration: (<b>a</b>) R1; (<b>b</b>) R2, (<b>c</b>) R3.</p>
Full article ">Figure 11
<p>Top crack after vibration.</p>
Full article ">Figure 12
<p>Deformation trend of panel.</p>
Full article ">Figure 13
<p>(<b>a</b>) Panel deformation before vibration; (<b>b</b>) panel deformation after vibration.</p>
Full article ">Figure 14
<p>Tension distribution of reinforcement: (<b>a</b>) R1; (<b>b</b>) R2; (<b>c</b>) R3.</p>
Full article ">Figure 15
<p>Distribution of natural frequency and damping ratio: (<b>a</b>) R1; (<b>b</b>) R2; (<b>c</b>) R3.</p>
Full article ">Figure 16
<p>Comparison of natural frequency and damping ratio distribution: (<b>a</b>) comparison of natural frequency distribution; (<b>b</b>) summary comparison of damping ratio distribution.</p>
Full article ">Figure 17
<p>Acceleration amplification factor distribution: (<b>a</b>) R1; (<b>b</b>) R2; (<b>c</b>) R3.</p>
Full article ">
13 pages, 6324 KiB  
Article
Experimental Comparison of the Performance of Shear Frame with TLD and TLCD Under Harmonic Ground Motion
by Yunus Emre Kebeli, Ersin Aydın, Baki Öztürk and Hüseyin Çetin
Buildings 2024, 14(12), 3843; https://doi.org/10.3390/buildings14123843 - 30 Nov 2024
Cited by 1 | Viewed by 815
Abstract
Today, various systems are used to reduce vibrations in civil engineering structures. Among these systems, tuned liquid dampers are the preferred passive systems due to their ability to be designed in different geometries, their low cost, their ease of installation, and their low [...] Read more.
Today, various systems are used to reduce vibrations in civil engineering structures. Among these systems, tuned liquid dampers are the preferred passive systems due to their ability to be designed in different geometries, their low cost, their ease of installation, and their low maintenance costs. This study examines the effectiveness of tuned liquid dampers (TLD) and tuned liquid column dampers (TLCD) under identical geometric conditions and harmonic ground motion to assess which is more efficient in controlling the behavior of a three-storey steel shear frame model equipped with these systems. A small-scale, three-storey shear frame model placed on a uniaxial shaking table was subjected to harmonic motion with a 5 mm amplitude, 1.4 Hz frequency, and 10 cycles. The chosen frequency aligns with the resonance frequency of the undamped building model’s first mode. Both TLD and TLCD tanks, positioned atop the structure, share a geometry of 30 cm in length and 10 cm in width, with variable liquid heights of 5, 10, 15, and 20 cm. Mounting TLD and TLCD models with four different liquid heights on the undamped model resulted in nine distinct setups. In this designed scenario, the TLDs and TLCDs on the undamped shear frame were compared according to liquid heights at rest. To identify the best-performing system based on liquid height, response displacement–frequency graphs were generated for all models within a frequency range of 0.5–2.5 Hz, and damping ratios were calculated using the half-power bandwidth method. Additionally, harmonic ground motion experiments at the resonance frequency compared both acceleration and displacement values over time for damped and undamped models. Peak acceleration and displacement values on each floor were also analyzed. The results highlight which system proves more effective based on damping ratio, acceleration, and displacement values under equivalent conditions. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic representation of the TLD model [<a href="#B24-buildings-14-03843" class="html-bibr">24</a>].</p>
Full article ">Figure 2
<p>Schematic representation of the TLCD model.</p>
Full article ">Figure 3
<p>Sinusoidal harmonic ground motion graphic.</p>
Full article ">Figure 4
<p>Model: (<b>a</b>) undamped; (<b>b</b>) with TLD; (<b>c</b>) with TLCD [<a href="#B24-buildings-14-03843" class="html-bibr">24</a>].</p>
Full article ">Figure 5
<p>The schematic experimental setup: (<b>a</b>) with TLD; (<b>b</b>) with TLCD.</p>
Full article ">Figure 6
<p>The experimental setup in mechanic laboratory: (<b>a</b>–<b>d</b>) with TLD 5, 10, 15 and 20 cm; (<b>e</b>–<b>h</b>) with TLCD 5, 10, 15 and 20 cm, respectively.</p>
Full article ">Figure 7
<p>Peak: (<b>a</b>) acceleration; (<b>b</b>) displacement values of each storey.</p>
Full article ">Figure 8
<p>Half-power bandwidth method example of frequency–response curve for undamped system.</p>
Full article ">Figure 9
<p>Experimental frequency–response curves for: (<b>a</b>) TLDs; (<b>b</b>) TLCDs.</p>
Full article ">Figure 10
<p>Damping ratio–liquid height relation for TLD and TLCD systems.</p>
Full article ">Figure 11
<p>Time-dependent acceleration and displacement graphics of each storey of the models.</p>
Full article ">
27 pages, 1696 KiB  
Review
Assessing Seismic Vulnerability Methods for RC-Frame Buildings Pre- and Post-Earthquake
by Mabor Achol Samuel, Ergang Xiong, Mahmood Haris, Beco Chenadaire Lekeufack, Yupeng Xie and Yufei Han
Sustainability 2024, 16(23), 10392; https://doi.org/10.3390/su162310392 - 27 Nov 2024
Cited by 1 | Viewed by 1457
Abstract
The seismic vulnerability of reinforced concrete (RC) buildings has been an important issue, especially in earthquake-prone regions with limited seismic design codes such as South Sudan. Improving the seismic performance of reinforced concrete buildings is critical for maintaining structural functionality under normal service [...] Read more.
The seismic vulnerability of reinforced concrete (RC) buildings has been an important issue, especially in earthquake-prone regions with limited seismic design codes such as South Sudan. Improving the seismic performance of reinforced concrete buildings is critical for maintaining structural functionality under normal service loads and for rapid recovery after natural disasters such as earthquakes. This research aims to thoroughly assess the methods used to evaluate the seismic vulnerability of RC frame structures in pre- and post-earthquake scenarios. The primary objective is to provide a comprehensive framework that integrates empirical, analytical, and experimental methods, categorizing existing assessment methods and proposing improvements for resource-constrained environments. However, empirical methods have always used historical earthquake data to estimate potential damage. In contrast, analytical methods have used computational tools such as fragility curves to assess the probability of damage at different seismic intensities. Additionally, experimental methods, such as shaking table tests and pseudo-dynamic analyses, have validated theoretical predictions and provided insights into structural behavior under simulated conditions. Furthermore, key findings highlight critical vulnerabilities in RC buildings, quantify damage probabilities, and compare the strengths and limitations of different assessment methods. However, challenges such as limited data availability, computational limitations, and difficulties replicating actual conditions in test setups highlight areas for improvement. By addressing these challenges, the review provides recommendations for future studies, including integrating advanced computational and regional hazard characterization methods, improving experimental methods to enhance the accuracy of vulnerability assessments, and ultimately supporting the design of more resilient RC structures and increasing disaster preparedness. Full article
Show Figures

Figure 1

Figure 1
<p>The procedure of seismic risks and seismic vulnerability index assessment.</p>
Full article ">Figure 2
<p>Vulnerability index functions corresponding to the damage factor (d) and peak ground acceleration (PGA) across various vulnerability indices.</p>
Full article ">Figure 3
<p>A flowchart to estimate the vulnerability index (SVI).</p>
Full article ">
19 pages, 4401 KiB  
Article
Characterization and Processing of Low-Grade Middle Group 2 Chromite Ore by Gravity Shaking Table and a Comparative SLon Magnetic Separation: A Case Study
by Inga Sixhuta, Ashma Singh, Phathutshedzo Khangale, Reinout Meijboom and Mpfunzeni Raphulu
Minerals 2024, 14(12), 1201; https://doi.org/10.3390/min14121201 - 26 Nov 2024
Viewed by 1015
Abstract
Chromite is considered a strategic mineral in the global economy. It is mainly used as an essential raw material in the production of stainless steel and other metal alloys due to its corrosion and heat resistance properties. High-grade chromite resources are gradually depleting; [...] Read more.
Chromite is considered a strategic mineral in the global economy. It is mainly used as an essential raw material in the production of stainless steel and other metal alloys due to its corrosion and heat resistance properties. High-grade chromite resources are gradually depleting; with the increasing chromite demand in metallurgical applications, studies have focused on exploring low-grade and alternative chromite sources. This study proposes a cost-effective processing flowsheet for the low-grade middle group 2 (MG2) chromite layer, a poorly explored chromatite seam within the South African bushveld igneous complex (BIC). The study involved mineralogical characterization followed by gravity and magnetic separation of the low-grade MG2 ore at 18.18% Cr2O3. Characterization by XRD and Auto-SEM revealed that the ore mainly consists of pyroxene, chromite, and feldspar, with other minerals in trace quantities. The gravity separation test by shaking table upgraded the chromite (Cr2O3) to 42.0% at high chromite recoveries, whereas the laboratory Slon wet high-intensity magnetic separation method (SLon WHIMS) upgraded the chromite in the feed to 42.95% grade at lower chromite recoveries. Desliming the sample before the gravity and magnetic separation tests significantly improved the separation. The magnetic separation tests further demonstrated that chromite within the MG2 layer is sensitive to magnetic separation due to its high iron content. The adapted flowsheet is proposed as a cost-effective flowsheet for processing the low-grade MG2 layer. The flow sheet can be optimized by conducting the SLon WHIMS tests at high intensities followed by fine gravity tests by spiral circuits to maximize the chromite recovery while achieving commercial chromite grades and a Cr:Fe ratio greater than 1.5. Full article
(This article belongs to the Special Issue Mineral Processing Technologies of Low-Grade Ores)
Show Figures

Figure 1

Figure 1
<p>Stratigraphy of Rustenburg Layered Suite of the Bushveld Complex [<a href="#B9-minerals-14-01201" class="html-bibr">9</a>].</p>
Full article ">Figure 2
<p>Global chromite production over the years, 2010–2023 (USGS Reports).</p>
Full article ">Figure 3
<p>Proposed flowsheet for processing a low-grade MG2 run-of-mine ore.</p>
Full article ">Figure 4
<p>Schematic diagram of a Laboratory SLon-100, a wet high-intensity magnetic separator unit (Metso Outotec, Helsinki, Finland).</p>
Full article ">Figure 5
<p>Particle size distribution of MG2 ore crushed to −1mm. Screen sizes used between 850 and 25 µm.</p>
Full article ">Figure 6
<p>Discrete mass, chromite grade, and deportment across different sizes.</p>
Full article ">Figure 7
<p>Normative bulk quantitative mineralogy results from Auto-SEM analysis.</p>
Full article ">Figure 8
<p>Cumulative liberation curve for each size fraction. The red vertical line delineates 80% liberation. The +600 µm size is least liberated.</p>
Full article ">Figure 9
<p>Backscatter electron (BSE) image of moderate- to fine-grained chromite grains within a larger particle from the MG2 sample. (<b>a</b>) Greyscale BSE image of the particle. (<b>b</b>) False color image of a particle with mineral classifications by the Auto-SEM.</p>
Full article ">Figure 10
<p>Wide-angle XRD pattern for the MG2 chromite sample.</p>
Full article ">Figure 11
<p>Cumulative chromite grades and recoveries for shaking table gravity tests on MG2 sample.</p>
Full article ">Figure 12
<p>Cumulative Fe grades and recoveries from the shaking table test.</p>
Full article ">Figure 13
<p>Cumulative SiO<sub>2</sub> grade and recovery curves from the shaking table test.</p>
Full article ">Figure 14
<p>Summary of SLon whims results for chromite in the magnetic products at various field intensities. Primary y-axis presents both mass yield and chromite recovery, whereas the secondary y-axis shows chromite grades.</p>
Full article ">Figure 15
<p>Discrete mass yield, Fe grade and recovery curves in the magnetic stream for magnetic separation tests by Slon WHIMS at various intensities.</p>
Full article ">Figure 16
<p>Discrete mass yield, SiO<sub>2</sub> grade and recovery curves in the magnetic stream of Slon WHIMS tests at various intensities.</p>
Full article ">
22 pages, 10421 KiB  
Article
Distributed High-Speed Videogrammetry for Real-Time 3D Displacement Monitoring of Large Structure on Shaking Table
by Haibo Shi, Peng Chen, Xianglei Liu, Zhonghua Hong, Zhen Ye, Yi Gao, Ziqi Liu and Xiaohua Tong
Remote Sens. 2024, 16(23), 4345; https://doi.org/10.3390/rs16234345 - 21 Nov 2024
Viewed by 744
Abstract
The accurate and timely acquisition of high-frequency three-dimensional (3D) displacement responses of large structures is crucial for evaluating their condition during seismic excitation on shaking tables. This paper presents a distributed high-speed videogrammetric method designed to rapidly measure the 3D displacement of large [...] Read more.
The accurate and timely acquisition of high-frequency three-dimensional (3D) displacement responses of large structures is crucial for evaluating their condition during seismic excitation on shaking tables. This paper presents a distributed high-speed videogrammetric method designed to rapidly measure the 3D displacement of large shaking table structures at high sampling frequencies. The method uses non-coded circular targets affixed to key points on the structure and an automatic correspondence approach to efficiently estimate the extrinsic parameters of multiple cameras with large fields of view. This process eliminates the need for large calibration boards or manual visual adjustments. A distributed computation and reconstruction strategy, employing the alternating direction method of multipliers, enables the global reconstruction of time-sequenced 3D coordinates for all points of interest across multiple devices simultaneously. The accuracy and efficiency of this method were validated through comparisons with total stations, contact sensors, and conventional approaches in shaking table tests involving large structures with RCBs. Additionally, the proposed method demonstrated a speed increase of at least six times compared to the advanced commercial photogrammetric software. It could acquire 3D displacement responses of large structures at high sampling frequencies in real time without requiring a high-performance computing cluster. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Framework of the proposed videogrammetric method.</p>
Full article ">Figure 2
<p>General distributed videogrammetric network.</p>
Full article ">Figure 3
<p>Stereo-matching method of circular targets in large FOV (red dots indicate SIFT feature points of stereo images).</p>
Full article ">Figure 4
<p>Distributed computation and reconstruction strategy.</p>
Full article ">Figure 5
<p>(<b>a</b>) Real structure model. (<b>b</b>) Camera layout and spatial coordinate system. (<b>c</b>) Measurement point distribution.</p>
Full article ">Figure 6
<p>Measurement errors between the videogrammetry and the total station at each checkpoint in the X, Y, and Z directions.</p>
Full article ">Figure 7
<p>Three-dimensional positioning errors of the checkpoint calculated using different methods after each seismic wave load.</p>
Full article ">Figure 8
<p>Comparison of displacement and acceleration response histories obtained by the proposed videogrammetry and contact sensors at points <span class="html-italic">R</span><sub>3</sub> and <span class="html-italic">R</span><sub>18</sub> subjected to different seismic excitations: (<b>a</b>) Experiment No. 1; (<b>b</b>) Experiment No. 3; (<b>c</b>) Experiment No. 5.</p>
Full article ">Figure 9
<p>Time consumption and mean reprojection error of different methods for reconstructing the shaking table dataset.</p>
Full article ">Figure 10
<p>Time consumption of different methods for reconstructing the shaking table dataset.</p>
Full article ">Figure 11
<p>Three-dimensional displacement response histories of measurement points distributed across the coupling beams during (<b>a</b>) Experiment No. 1, (<b>b</b>) Experiment No. 3, and (<b>c</b>) Experiment No. 5.</p>
Full article ">
17 pages, 4507 KiB  
Article
Simplified Gravity Load Collapse Dynamic Analysis of Old-Type Reinforced Concrete Frames
by Konstantinos G. Megalooikonomou
Constr. Mater. 2024, 4(4), 704-720; https://doi.org/10.3390/constrmater4040038 - 14 Nov 2024
Viewed by 1961
Abstract
The results of shaking table tests from previous studies on a one-story, two-bay reinforced concrete frame—exhibiting both shear and axial failures—were compared with nonlinear dynamic analyses using simplified models intended to evaluate the collapse potential of older reinforced concrete structures. To replicate the [...] Read more.
The results of shaking table tests from previous studies on a one-story, two-bay reinforced concrete frame—exhibiting both shear and axial failures—were compared with nonlinear dynamic analyses using simplified models intended to evaluate the collapse potential of older reinforced concrete structures. To replicate the nonlinear behavior of columns, whether shear-critical or primarily flexure-dominant, a one-component beam model was applied. This model features a linear elastic element connected in series to a rigid plastic, linearly hardening spring at each end, representing a concentrated plasticity component. To account for strength degradation through path-dependent plasticity, a negative slope model as degradation was implemented, linking points at both shear and axial failure. The shear failure points were determined through pushover analysis of shear-critical columns using Phaethon software. Although the simplified model provided a reasonable approximation of the overall frame response and lateral strength degradation, especially in terms of drift, its reduced computational demands led to some discrepancies between the calculated and measured shear forces and drifts during certain segments of the time-history response. Full article
Show Figures

Figure 1

Figure 1
<p>Graphical research framework of this study (Δ<span class="html-italic"><sub>shear</sub></span> cantilever lateral displacement due to shear mechanism, Δ<span class="html-italic"><sub>slip</sub></span> cantilever lateral displacement due to pull-out slip of anchorage or lap splice, Δ<span class="html-italic"><sub>flex</sub></span> cantilever lateral displacement due to flexure, Δ<span class="html-italic"><sub>tot</sub></span> total lateral displacement, <span class="html-italic">l<sub>r</sub></span> yield penetration length in the anchorage, <span class="html-italic">f<sub>by</sub></span> local bond strength of the anchorage, <span class="html-italic">l<sub>p</sub></span> plastic hinge length, <span class="html-italic">γ<sub>e</sub></span> elastic shear strain, <span class="html-italic">γ<sub>p</sub></span> plastic shear strain. <span class="html-italic">θ</span> cantilever lateral rotation, <span class="html-italic">θ<sub>slip</sub></span> cantilever lateral rotation due to pull-out slip, <span class="html-italic">V<sub>R</sub></span> shear strength, <span class="html-italic">L<sub>s</sub></span> shear span, <span class="html-italic">d</span> column section effective depth, <span class="html-italic">V</span> seismic shear force, Δ lateral displacement, Δ<span class="html-italic"><sub>s</sub></span> lateral displacement at shear failure, Δ<span class="html-italic"><sub>a</sub></span> lateral displacement at axial failure).</p>
Full article ">Figure 2
<p>Beam (<b>a</b>) displacements and (<b>b</b>) forces in global, local, and basic reference systems and (<b>c</b>) one-component beam model.</p>
Full article ">Figure 3
<p>(<b>a</b>) Specimen 2 of shake table test [<a href="#B37-constrmater-04-00038" class="html-bibr">37</a>,<a href="#B38-constrmater-04-00038" class="html-bibr">38</a>]. (<b>b</b>) Simplified numerical model implemented in MATLAB 2024b.</p>
Full article ">Figure 4
<p>Capacity curve of center shear-critical column of Specimen 2 and lateral displacement contributions for each step of the pushover analysis (16 total pushover steps of 5 kN) [This is a screenshot from Phaethon Windows software’s user interface].</p>
Full article ">Figure 5
<p>Strain, slip, and bond distributions along the straight anchorage length of center shear-critical column of Specimen 2 for pushover step 15 of Phaethon Windows software. See also <a href="#constrmater-04-00038-f001" class="html-fig">Figure 1</a> and <a href="#constrmater-04-00038-f004" class="html-fig">Figure 4</a>.</p>
Full article ">Figure 6
<p>Time-history responses in terms of drift, base shear, and center column shear of Specimen 2.</p>
Full article ">Figure 7
<p>Absolute error time-history responses in terms of drift, base shear, and center column shear of Specimen 2.</p>
Full article ">Figure 8
<p>Shear hysteretic response of Specimen 2.</p>
Full article ">Figure 9
<p>Below beam moment–rotation hysteretic response of center column of Specimen 2.</p>
Full article ">Figure 10
<p>Below beam moment–rotation hysteretic response of outside column of Specimen 2.</p>
Full article ">
Back to TopTop