Article
Computer Science, Interdisciplinary Applications
Mojtaba Mousakhani, Klaus Thoeni, Stephen Fityus, Anna Giacomini
Summary: A novel 3D contact detection algorithm is proposed for arbitrarily shaped, concave and convex blocks, which includes a new neighbouring search technique and three subalgorithms to detect true contact types. This algorithm is shown to be more accurate and efficient than other commonly used algorithms.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Engineering, Geological
Xinyan Peng, Yingbin Zhang, Pengcheng Yu, Xiao Cheng, Jinmei Wang
Summary: Discontinuities in jointed or blocky media are common and have a significant impact on the behavior of such systems. Discontinuous deformation analysis (DDA) is a promising method to study the failure process of blocky systems. The accurate modeling of face-to-face contact between adjacent blocks is critical, and the traditional concentrated spring model can lead to inaccurate and unreasonable results. To address this issue, a multi-spring face-to-face contact model has been proposed in this study. The improved 3-D DDA provides more reasonable results when analyzing tensile failure problems.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Xi Wang, Wei Wu, Hehua Zhu, Hong Zhang, Jeen-Shang Lin, Antonio Bobet
Summary: This study proposes a novel Global Direct Search (GDS) method for accurately detecting contact between arbitrarily shaped convex polyhedral blocks. Compared to the commonly used Common Plane (CP) and GJK algorithms, the GDS method is not affected by false contacts and vanishing contacts, and has higher accuracy and robustness.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Computer Science, Artificial Intelligence
Ahmad Karambakhsh, Bin Sheng, Ping Li, Huating Li, Jinman Kim, Younhyun Jung, C. L. Philip Chen
Summary: The article introduces a novel solution for 3-D object recognition from volumetric data by combining three compact CNN models, low-cost SparseNet, and feature representation technique. By estimating extra geometrical information, an optimized network is achieved and improves the recognition results.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Pengcheng Yu, Xinyan Peng, Bing Hu, Xiao Cheng, Yingbin Zhang, Dejian Li
Summary: Soil-structure interaction problems are crucial in geotechnical engineering research. This paper presents an extended 3-D coupled DDA-SPH method for accurately simulating the large deformations and post-failure behavior of soil-structure interaction problems. The method combines the advantages of the discontinuous deformation method (DDA) for modeling the mechanical behavior of structures and the smoothed particle hydrodynamics (SPH) technique for describing the mechanical behavior of soil materials.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Computer Science, Interdisciplinary Applications
Xinquan Wang, Chun Feng, Xinguang Zhu, Li Zhang, Shihai Li
Summary: Contact detection algorithm is critical for discontinuous calculation method, with accuracy directly affecting simulation results. This proposed algorithm includes two stages: identifying potential contact pairs and judging contact status through half-space.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Engineering, Multidisciplinary
Mingxuan Li, Yen Hang Zhou, Tiemin Li, Yao Jiang
Summary: This article proposes a feature detection method applicable to visuotactile sensors based on continuous marker patterns (CMP) for measuring 3D deformation. The method considers the boundary characteristics of corners with geometric distortion and achieves reliable detection at a low calculation cost. Experimental results demonstrate significant advantages in real-time performance and robustness, enabling high-density 3D contact deformation visualization.
Article
Geochemistry & Geophysics
Qiming Xia, Yidong Chen, Guorong Cai, Guikun Chen, Daoshun Xie, Jinhe Su, Zongyue Wang
Summary: 3D object detection is crucial for outdoor scene perception, and learning complete size and accurate positioning of objects from an incomplete point cloud spatial structure is essential. This study proposes a novel flexible 3D heatmap auxiliary network (3D HANet) for object detection. It introduces a 3D heatmap to reflect object information in order to obtain complete structure and location information from an incomplete point cloud. Experimental results demonstrate that the auxiliary network enhances the feature extraction ability of the backbone network, improving the accuracy of the entire detection network.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Engineering, Mechanical
Arata Ishizako, Masaki Tomosada, Kazuo Hokkirigawa, Takeshi Yamaguchi
Summary: The friction coefficients between a glass plate and rubber blocks with different end-face corner radii were investigated. It was found that rubber blocks with a larger end-face corner radius exhibited higher friction coefficients under dry conditions, while rubber blocks with a smaller end-face corner radius had higher friction coefficients under lubrication conditions. Additionally, the friction coefficients for rubber blocks with a smaller end-face corner radius increased with the sliding velocity and lubricant viscosity due to the formation of a fluid-free gap at the contact interface.
TRIBOLOGY INTERNATIONAL
(2022)
Article
Automation & Control Systems
Shuwen Zhao, Xinming Wang, Dinghuang Zhang, Gongyue Zhang, Zhiyong Wang, Honghai Liu
Summary: In this article, a novel framework is proposed to learn personalized shapes for 3D face reconstruction. Several principles are applied to balance the facial shape and expression distribution, and a mesh editing method is used to generate face images with various expressions. The pose estimation accuracy is improved by transferring the projection parameter into Euler angles, and a weighted sampling method is proposed to improve the robustness of the training process. Experimental results demonstrate that our method achieves state-of-the-art performance.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Electrical & Electronic
Zhiqiang Liu, Peicheng Shi, Heng Qi, Aixi Yang
Summary: In this article, a 3D object detection method based on point-cloud density and semantic augmentation is proposed. It combines cameras and LiDAR sensors to obtain rich information and overcomes the challenge of fusing image and point-cloud data. The proposed method outperforms LiDAR-only detectors and other multimodal fusion-based methods in terms of mean average precision and detection score.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Zhiyuan Qu, Hongyi Jing, Guo Bai, Zhongpai Gao, Leilei Yu, Zhiyuan Zhang, Guangtao Zhai, Chi Yang
Summary: In clinical diagnosis, multimodal medical image fusion is meaningful and necessary for the accurate diagnosis of diseases require combining information from different tissue types. The fusion of spiral CT and face scan images is of great significance in the diagnosis of certain diseases. This article proposes a novel intelligent Internet of Things scene: a multimodal medical images acquisition and fusion system, which synchronously collects CT and face scan images of patients. A deep point neural network is used to extract feature points and a threshold iterative closest point algorithm is applied for registration and segmentation. The high-precision fused modal data is output at the mobile terminal to facilitate diagnosis and improve doctor-patient communication efficiency. Quantitative experiments show promising results, and clinical experiments prove the effectiveness of the method in improving doctor-patient communication and understanding of the illness state.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Yaran Chen, Haoran Li, Ruiyuan Gao, Dongbin Zhao
Summary: 3D object detection is crucial for real-world applications and extracting information from LiDAR and camera sensors. Existing methods face challenges in 2D to 3D transformation, but our proposed segmentation method and fused loss function effectively address these issues.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Zhuo Chen, Tao Guan, Yuesong Wang, Yawei Luo, Luoyuan Xu, Wenkai Liu
Summary: This paper proposes a novel end-to-end 3D face reconstruction network, consisting of a domain-transfer conditional GAN (cGAN) and a face reconstruction network, to address the lack of large annotated datasets with 3D ground truth. The method first uses cGAN to translate real face images to a specific rendered style, with a novel 2D facial edge consistency loss function to utilize in-the-wild images. The domain-transferred images are then fed into a 3D face reconstruction network, with a novel reprojection consistency loss to ensure self-supervised learning. The approach can be trained with annotated datasets, synthetic datasets, and in-the-wild images to learn a unified face model. Extensive experiments have demonstrated its effectiveness.
Article
Automation & Control Systems
Van-Thanh Hoang, De-Shuang Huang, Kang-Hyun Jo
Summary: This article introduces a facial-landmark detector based on a stacked hourglass network and residual networks, which improves accuracy by modifying hourglass modules and using 1 x 1 convolution layers in branch streams. The proposed network outperforms other state-of-the-art methods on 3-D face alignment datasets.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Geological
Yingbin Zhang, Chenlin Xiang, Pengcheng Yu, Lianheng Zhao, John X. Zhao, Haiying Fu
Summary: The study investigated the effects of seismic activity on permanent displacements of slopes near fault lines. It was found that excitation, vertical ground motions, and slope azimuth all have significant influences on the computed displacements.
Article
Engineering, Geological
Pengcheng Yu, Xinyan Peng, Yingbin Zhang, Dejian Li, Haiying Fu, Yin Cheng
Summary: Discontinuous Deformation Analysis (DDA) has been widely used for static and dynamic problems. In this study, a modified iterative process called open-close iteration (OCI) is proposed to overcome numerical creep phenomenon in block sliding cases. The reasons for the numerical creep, which is an additional sliding displacement, are investigated. The improved DDA with modified OCI is tested on several block sliding examples and shows significantly improved simulating accuracy.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Article
Engineering, Environmental
Dejian Li, Wentao Jia, Xiao Cheng, Lianheng Zhao, Yingbin Zhang, Pengcheng Yu
Summary: This paper establishes a limit state analysis model for the stability of jointed rock slopes with stepped sliding surfaces based on tensile failure and tensile-shear composite failure modes of rock bridges. The influences of key parameters on slope stability are investigated, showing that the existence and different failure modes of rock bridges have significant effects on slope stability.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Engineering, Geological
Yingbin Zhang, Chenlin Xiang, Haiying Fu, Jing Liu, Yin Cheng
Summary: This study demonstrates that applying horizontal and vertical base motions simultaneously to the slope is the most suitable way for seismic slope stability analysis in the near-fault zone.
INTERNATIONAL JOURNAL OF GEOMECHANICS
(2022)
Article
Engineering, Civil
Yin Cheng, Jianfeng Wang, Yingbin Zhang, Fabrizio Mollaioli
Summary: This study develops a correlation model to consider the joint consideration of multiple intensity measures (IMs) in earthquake engineering applications. The results show a strong correlation between the spectral amplitudes at the same period, and the correlation decreases as the period difference increases. This model can explicitly consider the ground motion characteristics in earthquake engineering applications.
JOURNAL OF EARTHQUAKE ENGINEERING
(2023)
Article
Environmental Sciences
Jing Liu, Hai-ying Fu, Ying-bin Zhang, Pei-yi Xu, Run-dan Hao, Hai-hong Yu, Yun-yong He, Hong-yan Deng, Lu Zheng
Summary: This study considered the probability of pulse-like ground motion caused by earthquakes as a factor affecting landslide susceptibility assessment. The results showed that the model considering the pulse-like effect performed better in susceptibility assessment and can be applied in disaster prevention, mitigation, and construction planning in near-fault areas.
JOURNAL OF MOUNTAIN SCIENCE
(2023)
Article
Environmental Sciences
Ying-bin Zhang, Pei-yi Xu, Jing Liu, Jian-xian He, Hao-tian Yang, Ying Zeng, Yun-yong He, Chang-feng Yang
Summary: This study compared the prediction performances of different methods on landslide susceptibility mapping in the Tibetan Plateau region, and found that Particle Swarm Optimization (PSO) Support Vector Machine (SVM) had the best performance in landslide susceptibility assessment.
JOURNAL OF MOUNTAIN SCIENCE
(2023)
Article
Engineering, Geological
Jinmei Wang, Yingbin Zhang, Pengcheng Yu, Bo Shu, Qingdong Wang, Yong Xu, Lin Lang, Xinyan Peng
Summary: This paper examines the entire dynamic process of earthquake-induced landslides, including seismic wave propagation, crack development, instability, movement, and deposition. The study incorporates factors such as strength attenuation and uses the discontinuous deformation analysis (DDA) simulation tool to analyze the impact of dynamic response on landslide instability and motion. The simulation of the Donghekou landslide caused by the Wenchuan earthquake exemplifies the tension-cracking and shearing sliding nature of the landslide.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Geosciences, Multidisciplinary
Peter Antwi Buah, Yingbin Zhang, Jianxian He, Pengcheng Yu, Chenlin Xiang, Haiying Fu, Yunyong He, Jing Liu
Summary: Earthquake-induced landslides are important in mountainous areas, but only a few methods consider the interactions between pulselike seismic waves and landslides. This study investigates the seismic response of a homogenous step-like slope and found that pulselike waves greatly influence the acceleration and velocity amplification. The findings can be used for seismic engineering design and stability analysis.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Engineering, Civil
Jing Liu, Yingbin Zhang, Peiyi Xu, Ying Zeng, Chenlin Xiang, Haiying Fu, Haihong Yu, Yunyong He
Summary: In this study, predictive displacement models (PDMs) based on the Newmark sliding block method were created, considering the probability of occurrence of pulse-like ground motions (PLGMs). The results showed that the model with PLGM probability had higher accuracy in non-strike-slip events, while the effect of PLGM probability could be disregarded in strike-slip events. This study provides a basis for earthquake-induced landslide hazard assessment (ELHA), as well as post-earthquake emergency and geological disaster mitigation.
JOURNAL OF EARTHQUAKE ENGINEERING
(2023)
Article
Environmental Sciences
Ying Zeng, Ying-bin Zhang, Jing Liu, Pei-yi Xu, Hui Zhu, Hai-hong Yu, Yun-yong He
Summary: This study proposes a new model for earthquake-induced landslide hazard assessment, combining physical mechanisms and environmental factors, showing high accuracy and performance. Comparing with the actual landslide inventory, it is found that the model performs well in predictive capability.
JOURNAL OF MOUNTAIN SCIENCE
(2023)
Article
Engineering, Geological
Dejian Li, Wentao Jia, Yansong Yang, Yingbin Zhang, Xiao Cheng, Lianheng Zhao
Summary: This study analyzes the stability of slope bodies based on back edge tensile cracks and proposes an improved method to analyze the interaction relationship between the upper and lower parts of the slope. A slope stability analysis system composed of four failure cases is constructed, and the failure probability and dominant failure mode of the system are analyzed using the limit equilibrium method and the Monte Carlo method. The results show that an increase in the fracture connectivity ratios of the two regions leads to a decrease in slope stability, and the seismic acceleration coefficients aggravate the interaction relationship between the two regions.
Article
Environmental Sciences
Ying Zeng, Yingbin Zhang, Jing Liu, Qingdong Wang, Hui Zhu
Summary: This research proposes an emergency assessment model for post-earthquake landslides using remote sensing technology and the Newmark physical mechanics assessment model. The model, called InSAR Data-Newmark Physical Fusion Driver Model (IDNPM), comprehensively considers the dynamic deformation of the ground surface and geological features. The results show that the IDNPM effectively reduces prediction errors and improves accuracy compared to the traditional Newmark model. The research findings provide valuable references for the development of post-earthquake landslide emergency prediction models.
Article
Computer Science, Interdisciplinary Applications
Xinyan Peng, Pengcheng Yu, Hui Zhu, Xiao Cheng, Yingbin Zhang, Changze Li
Summary: This study proposes a new coupled DDA-SPH method that uses a new contact algorithm to describe soil-structure interaction problems more accurately. Several validation examples demonstrate the performance and applicability of the method.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Yanyan Chen, Yuanming Lai, Mingyi Zhang, Hongwei Li, Yingbin Zhang
Summary: The increasing frequency of extreme weather events has resulted in a rise in slope instability of unsaturated soil near the earth's surface. Establishing a method to analyze slope stability under complex hydrological conditions is crucial. This study proposes an approach that combines finite element seepage analysis with upper-bound limit analysis to evaluate the stability of unsaturated soil slopes. The method includes two failure mechanisms and an optimized solution scheme to determine the factor of safety and critical slip surface of slopes. The effectiveness of this method is validated through comparisons with published examples and a case study. The methodological framework presented in this study provides a basis for evaluating the stability of saturated-unsaturated soil slopes with 2D seepage conditions.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Yinghao Deng, Yang Xia, Di Wang, Yan Jin
Summary: This study investigates the mechanism of hydraulic fracture propagation in laminated shale, develops a numerical solver, and validates the effectiveness of the method through simulation experiments. The study also examines the influence of the interaction between hydraulic fractures and weak interfaces on the mechanical properties of shale.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhichao Zhang, Mingfei Feng, Guangshuo Zhou, Zhenglong Xu
Summary: A thermodynamic constitutive model for structured and destructured clays is proposed in this paper. The model includes state-dependent relations of hyperelasticity and plasticity without the concept of yielding surface. The proposed model captures the couplings between elasticity and plasticity and the effects of bonding structure.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Deze Yang, Xihua Chu
Summary: Creep and stress relaxation behaviors in granular materials are influenced by the time-dependent changes in their microstructure, with particle shape playing a significant role. However, the effects of particle shape on these behaviors are still not well understood. In this study, 3D DEM models incorporating the rate process theory and superellipsoids are used to simulate creep and stress relaxation in granular samples with different aspect ratios and blockiness. The results show that both aspect ratio and blockiness have a significant influence on creep and stress relaxation, with aspect ratio affecting creep through contact force ratio and blockiness affecting stress relaxation through variation in normal contact force anisotropy. These findings provide insights into the effects of particle shape on creep and stress relaxation in granular assemblies.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Shahab Amanat, Kourosh Gholami, Reza Rafiee-Dehkharghani, Dipanshu Bansal
Summary: This paper investigates the optimal design of wave barriers using the modified non-dominated sorting genetic algorithm-II (NSGA-II) and the Bloch-Floquet theory. The aim is to find the optimal design of plane wave barriers with a wide bandgap at a low-frequency range and low construction cost. The study develops a modified NSGA-II algorithm to determine the optimal arrangement of concrete in wave barrier unit cells. The performance of the optimal barriers is examined through finite element simulation and their efficacy in attenuating plane S-waves is verified.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Yanlin Su, Guoqing Cai, Fengjie Yin, Yepeng Shan, Annan Zhou
Summary: This paper presents a novel elastic-viscoplastic constitutive model that takes into account particle breakage to reproduce the time-dependent behavior of coarse-grained soil. The model integrates the Unified Hardening (UH) model, the elastic-viscoplastic (EVP) model, and the overstress theory. The relationship between particle breakage and loading rate is established, and state variables associated with the critical state of coarse-grained soil are derived to consider both time and particle breakage. A three-dimensional elastic-viscoplastic constitutive model is constructed by combining a one-dimensional viscoplastic hardening parameter with a secondary consolidation coefficient considering particle breakage. The proposed model requires 19 parameters and effectively describes the influence of time-dependency and particle breakage on the shear, dilatancy, and compression behaviors of coarse-grained soil with different confining pressures or initial void ratios. Experimental data comparisons validate the model's ability to replicate the time-dependent behavior of coarse-grained soil.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Shichao Zhang, Yaqiong Wang, Qidong Gao, Xiaobo Ma, Haixiao Zhou, Zhifeng Wang
Summary: Accurately evaluating and predicting ground settlement during tunnel excavation is essential for ensuring tunnel stability. This study conducted a probabilistic analysis of ground settlement under uncertain soil properties. The results demonstrate that spatially variable soils significantly influence the ground settlement in the vertical direction.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Xu Zhang, Bin Luo, Youjun Xu, Zhiwen Yang
Summary: This paper presents an analytical solution for horizontal displacements induced by small radius curve shield tunneling. The formula is derived based on the image method and Mindlin solution, considering additional thrust, frictional resistance, ground loss, and grouting pressure. The solution is validated with on-site data, demonstrating its reliability and providing a new approach for predicting and controlling stratum horizontal displacements in curve shield tunneling. The study finds that ground loss has the most significant influence on displacements, and soil closer to the tunnel exhibits larger horizontal displacements.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jian-Hong Wan, Ali Zaoui
Summary: Ground vibrations during earthquakes can cause soil strength loss and structural damage. Rubber-soil mixtures (RSM) have shown promise in reducing residual ground deformation. This study used molecular dynamics simulations to investigate the friction behavior of the rubber-clay interface in RSM systems. The results revealed a direct correlation between normal stress and friction force, with denser soil systems exhibiting higher friction forces.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Hongying Wang, Qiang Zhang, Peinan Wu, Yanjing Li, Lijun Han, Guilei Han
Summary: In addition to the Mohr-Coulomb and Hoek-Brown criteria, other nonlinear functions are used to describe the plastic response of rock mass. This paper derived the equivalent cohesive strength, frictional angle, and dilatancy angle for nonlinear yield and plastic flow rock masses. The solution for a circular tunnel in any nonlinear yield and plastic flow rock masses was derived and verified using a numerical procedure. The analysis of strain-softening rock masses under two assumed nonlinear yield criteria was also studied.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhijun Wu, You Wu, Lei Weng, Mengyi Li, Zhiyang Wang, Zhaofei Chu
Summary: This study proposed a machine learning approach to predict the uniaxial compression strength (UCS) and elastic modulus (E) of rocks. By measuring meso-mechanical parameters and developing grain-based models, a database with 225 groups of data was established for prediction models. The optimized kernel ridge regression (KRR) and gaussian process regression (GPR) models achieved excellent performance in predicting UCS and E.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Mingjun Zhou, Zhenming Shi, Chong Peng, Ming Peng, Kahlil Fredrick E. Cui, Bo Li, Limin Zhang, Gordon G. D. Zhou
Summary: In this paper, the erosion and deposition processes during overtopping dam breaching are simulated using a novel method (ED-SPH). The proposed model is able to capture the complex behaviors of dam soil erosion, entrainment, and depositions. Soil deposition hinders particle movement and reduces water velocity at the water-soil interface.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
C. Chavez-Negrete, F. J. Dominguez-Mota, R. Roman-Gutierrez
Summary: To accurately simulate groundwater flow in porous layered media, it is important to consider all environmental factors and use a generalized finite differences scheme as a meshless method for spatial discretization. This approach ensures robustness and accuracy of the numerical solution.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Shuairun Zhu, Lulu Zhang, Lizhou Wu, Lin Tan, Haolong Chen
Summary: This paper investigates the effectiveness of the cascadic multigrid method applied to the improved Picard iteration method for solving nonlinear problems in deforming variably saturated porous media. Two improved Picard iteration methods are proposed, and their effectiveness is verified through numerical examples. The results show that the improved methods have faster convergence and higher computational efficiency compared to the classical method.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Yuan Cao, Yan-Guo Zhou, Kyohei Ueda, Yun-Min Chen
Summary: Investigated shear stress responses of enclosed soil in deep soil mixing (DSM) grid-improved ground, and revealed the characteristics of the waist effect and mathematical model for shear stress reduction ratio.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jinfan Chen, Zhihong Zhao, Jintong Zhang
Summary: This study develops data-driven criteria to estimate the peak shear strength (PSS) of rock fractures, considering the effects of surface roughness features. A high-quality dataset is created using particle-based discrete element method and diamond-square algorithm. Tree-based models and convolutional neural network are trained to predict the PSS of rock fractures, and their reliability is verified using experimental data.
COMPUTERS AND GEOTECHNICS
(2024)