Article
Engineering, Civil
Tiande Wen, Xiangsheng Chen, Yinwei Luo, Longtan Shao, Geng Niu
Summary: The pore structure characteristics and hydraulic properties of granite residual soil under different particle gradation were investigated using high-resolution X-ray computed tomography (CT) and pressure plate. The relationship between three-dimensional pore structure characteristics and hydraulic properties was quantitatively analyzed. The results showed that decreasing particle diameter led to a decrease in average pore/throat radius and CT-connected porosity, but an increase in fractal dimension, indicating a complex soil pore structure. Adding larger particles improved saturated hydraulic conductivity by increasing soil pore connectivity and decreasing fractal dimension. Furthermore, the spatial variation of micropores and complex pore structure contributed to increased water retention capacity.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Jipeng Shan, Zhenlei Yang, Xingxing Kuang, Ling Li, Junguo Liu
Summary: This study aims to investigate the performances of seven Weibull distribution models for predicting relative hydraulic conductivity (RHC). By comparing with other six models, it is found that the proposed model performs the best in RHC prediction, with a 16.1% improvement compared to existing models. The proposed model can be used for RHC parameterization in water flow modeling in the unsaturated zone.
WATER RESOURCES RESEARCH
(2022)
Article
Materials Science, Multidisciplinary
Guang-yao Li, Liang-tong Zhan, Zheng Hu, Yun-min Chen
Summary: This study used a numerical method to investigate the effects of particle gradation and geometry on the pore characteristics and water retention curves of granular soils under isotropic compression. Results showed that a larger uniformity coefficient (C-u) of particle diameters results in a lower porosity, and the porosity first decreases and then increases as the aspect ratio (AR) of the particles increases. The study also found linear correlations between pore geometry and connectivity parameters such as pore and throat diameters, pore spacings, and coordination numbers.
Article
Engineering, Civil
Chao Zhou, Rui Chen
Summary: The study investigates the influence of anisotropy effects on water retention curve (WRC) of unsaturated soils based on two-dimensional analysis of soil pores. It is found that anisotropic specimen with elongated pores has higher water retention ability compared to isotropic specimen with round pores. A new WRC model is proposed and successfully verified through simulations, demonstrating its capability in capturing the influence of anisotropy on WRC.
JOURNAL OF HYDROLOGY
(2021)
Article
Energy & Fuels
Feng-Peng Lai, Zhi-Ping Li, He-Xin Wei, Wei Zhang
Summary: This study comprehensively characterizes the boundary values of generalized permeability jail in tight reservoirs through relative-permeability curve analysis, numerical simulation, and economic evaluation. The study found that different types of relative-permeability curves have significant impacts on production performance, with Category-I showing the best performance and Categories-V and VI showing the least production. Additionally, a generalized permeability jail exists when the relative permeability is below 0.06.
Article
Engineering, Geological
Behrooz Daneshian, Ghassem Habibagahi, Ehsan Nikooee
Summary: Hydraulic conductivity of unsaturated soils is crucial for modeling various phenomena, and is influenced by factors such as soil water content and pore connectivity. Current predictive models do not adequately consider pore connectivity, while pore network models offer a more realistic portrayal of soil characteristics.
Article
Environmental Sciences
Dantong Lin, Liming Hu, Scott Alan Bradford, Xinghao Zhang, Irene M. C. Lo
Summary: This study utilized pore-network modeling to investigate the transport and retention of colloids in porous media, revealing the distribution patterns of pore-scale transport parameters. The research demonstrated that single-valued effective parameters may not accurately reflect the characteristics of these parameters.
WATER RESOURCES RESEARCH
(2021)
Article
Engineering, Geological
Chiyu Xie, Jingwei Zhu, Jiulong Wang, Jiaosheng Yang, Hongqing Song
Summary: In this study, a new intelligent method was proposed to directly predict relative permeability curves from 3D digital rock images, which is more accurate compared to other artificial intelligence methods that use indirect geometrical parameters. The inputs of our AI model are digital rock images and fluid/rock physical properties, such as wettability and interfacial tension. The outputs (relative permeability curves) are obtained through an improved pore-network model. Three deep learning methods (CNN, ConvLSTM-FC, and ConvLSTM-CNN) were tested and compared, and the deep hybrid ConvLSTM-CNN method showed the highest overall prediction accuracy of 95%. The well-trained model was further applied to successfully predict the effects of wettability and interfacial tension on the relative permeability curves of Berea sandstone.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Water Resources
Suaiba Mufti, Arghya Das
Summary: Characterizing and modeling the pore structure is crucial for simulating the flow through granular soils. This work presents a novel numerical framework for constructing the pore network of granular soils with a wide grain size variation. The multiscale pore network obtained accurately predicts the water retention properties of granular soils.
ADVANCES IN WATER RESOURCES
(2023)
Article
Engineering, Geological
Q. Y. Mu, L. L. Meng, C. Zhou
Summary: The water retention curve (WRC) of unsaturated soils is important in assessing geohazards caused by rainfall in geological and geotechnical engineering. The WRC is affected by stress due to changes in density and pore size distribution (PSD). Previous studies on stress-dependent WRC focused on soils with mono- and bi-modal PSDs, while this study investigates intact paleosol and intact loess with quadri- and tri-modal PSDs. The experimental results show that the WRCs of these soils are strongly affected by stress in a similar approach, with a double-humped pattern observed in the relationship between degree of hysteresis and suction.
ENGINEERING GEOLOGY
(2023)
Article
Computer Science, Software Engineering
Zhengda Lu, Jianwei Guo, Jun Xiao, Ying Wang, Xiaopeng Zhang, Dong-Ming Yan
Summary: This paper introduces an automatic method based on quadric surface fitting technique for extracting complete feature curve networks (FCNs) and generating high-quality segmentation from 3D surface meshes. The algorithm is shown to be more robust for FCN extraction from complex input meshes and achieves higher quality patch layouts compared with existing approaches. The validity of extracted feature curve cycles is also verified by applying them to surface reconstruction.
COMPUTER-AIDED DESIGN
(2021)
Article
Construction & Building Technology
Hao Zhang, Haitao Zhao, Song Mu, Jingshun Cai, Yu Xiang, Jiawei Wang, Jinxiang Hong
Summary: The addition of carboxylic acid ammonium salt improves the durability of concrete by changing the pore structure and surface properties, enhancing water resistance ability. This provides important guidance for improving the application performance of hydrophobic agents in practice.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Civil
Pan Jin, Wenzhan Zhen, Bo Chen, De'an Sun, You Gao, Yonglin Xiong
Summary: The study revealed that soil structure and dry density do have an impact on water retention behavior, although this impact becomes negligible at high suctions. Pore size distributions and soil-water retention curves are effective in illustrating water retention behavior.
GEOMECHANICS AND ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Jessica Lima Viana, Jorge Luiz Moretti de Souza, Andre Carlos Auler, Ricardo Augusto de Oliveira, Rena Moreira Araujo, Aaron Kinyu Hoshide, Daniel Carneiro de Abreu, Wininton Mendes da Silva
Summary: We investigated the physical and hydric attributes of an Oxisol in northwestern Parana state, Brazil and found that crop cultivation on sandy soils is vulnerable to water stress. By analyzing soil samples and measuring various soil properties, we discovered that an increase in coarse sand content improves soil permeability and water storage capacity, while an increase in fine sand content reduces permeability but increases soil moisture content in subsurface layers.
Article
Soil Science
Zhengchao Tian, Jiazhou Chen, Chongfa Cai, Weida Gao, Tusheng Ren, Joshua L. Heitman, Robert Horton
Summary: This study developed new Pedotransfer functions (PTFs) that include bulk density effects on soil water retention curves (WRCs), providing reliable WRC estimates and potentially being integrated into crop and soil management models.
SOIL & TILLAGE RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Kwang Yeom Kim, Hyoung Suk Suh, Tae Sup Yun, Seong-Woo Moon, Yong-Seok Seo
GEOSCIENCES JOURNAL
(2016)
Article
Engineering, Geological
Hyoung Suk Suh, Kwang Yeom Kim, Junhwan Lee, Tae Sup Yun
ENGINEERING GEOLOGY
(2017)
Article
Engineering, Geological
Changho Lee, Hyoung Suk Suh, Boyeong Yoon, Tae Sup Yun
Article
Engineering, Geological
Yejin Kim, Hyoung Suk Suh, Tae Sup Yun
ENGINEERING GEOLOGY
(2019)
Article
Engineering, Multidisciplinary
Hyoung Suk Suh, WaiChing Sun, Devin T. O'Connor
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2020)
Article
Mechanics
Hyoung Suk Suh, WaiChing Sun
Summary: This paper proposes an immersed phase field model to predict fracture-induced flow in vuggy porous media, capturing the fluid-solid interaction in the pore space by coupling different equations. The study has important implications for applications such as disposal of carbon dioxide and radioactive materials, hydraulic fracture, and mining.
Article
Engineering, Geological
Yousef Heider, Hyoung Suk Suh, WaiChing Sun
Summary: This paper presents a meta-modeling approach that utilizes deep reinforcement learning to automatically discover optimal neural network settings for the machine learning constitutive laws. By replacing the human modeler to handle the optimized choices of setup, the AI agent self-learns from taking a sequence of actions within the selection environment. The resulting ML-generated material models can be integrated into a finite element solver to solve initial-boundary-value problems.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2021)
Article
Engineering, Multidisciplinary
Hyoung Suk Suh, WaiChing Sun
Summary: This paper introduces a mathematical framework and an asynchronous finite element solver for capturing brittle fractures in multi-phase fluid-infiltrating porous media at the mesoscale. It presents a dual-temperature effective medium theory and proposes an asynchronous time integrator to handle different growth rates of boundary layers effectively.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Engineering, Geological
Hyoung Suk Suh, WaiChing Sun
Summary: This article presents a multi-phase-field poromechanics model that can simulate the growth and thaw of ice lenses and the resultant frozen heave and thaw settlement in frozen soils. The model introduces an immersed approach to capture the freezing influence on shear strength more accurately.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2022)
Article
Engineering, Multidisciplinary
Hyoung Suk Suh, WaiChing Sun
INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING
(2019)
Article
Water Resources
Hyoung Suk Suh, Dong Hun Kang, Jaewon Jang, Kwang Yeom Kim, Tae Sup Yun
ADVANCES IN WATER RESOURCES
(2017)
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)
