4.7 Review

Review of fundamental principles in modelling unsaturated soil behaviour

Journal

COMPUTERS AND GEOTECHNICS
Volume 38, Issue 6, Pages 757-776

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.compgeo.2011.05.002

Keywords

Unsaturated soils; Constitutive modelling; Volume change; Shear strength; Yield stress; Water retention; Hydro-mechanical coupling

Funding

  1. Australian Research Council

Ask authors/readers for more resources

An unsaturated soil is a state of the soil. All soils can be partially saturated with water. Therefore, constitutive models for soils should ideally represent the soil behaviour over entire ranges of possible pore pressure and stress values and allow arbitrary stress and hydraulic paths within these ranges. The last two decades or so have seen significant advances in modelling unsaturated soil behaviour. This paper presents a review of constitutive models for unsaturated soils. In particular, it focuses on the fundamental principles that govern the volume change, shear strength, yield stress, water retention and hydromechanical coupling. Alternative forms of these principles are critically examined in terms of their predictive capacity for experimental data, the consistency between these principles and the continuity between saturated and unsaturated states. (C) 2011 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Environmental

A mathematic model for the soil freezing characteristic curve: the roles of adsorption and capillarity

Jidong Teng, Yu Zhong, Sheng Zhang, Daichao Sheng

Summary: The soil freezing characteristic curve (SFCC) is crucial for understanding the hydrothermal migration, frost heaving, and constitutive relations of frozen soil. A new SFCC model was proposed based on the adsorption and capillary action between soil particles and the ice interface, which showed a good agreement with experimental results. The model provides a clear physical interpretation and theoretical basis for understanding the phase change process in frozen soils.

COLD REGIONS SCIENCE AND TECHNOLOGY (2021)

Review Engineering, Geological

Experimental study of particle migration under cyclic loading: effects of load frequency and load magnitude

Sheng Zhang, Feng Gao, Xuzhen He, Qilei Chen, Daichao Sheng

Summary: The study investigates the migration of particles in porous media under cyclic loading, highlighting the impact of loading frequency and load magnitude on particle migration rates, as well as the influence of train speed and axle loads on mud pumping hazard.

ACTA GEOTECHNICA (2021)

Article Construction & Building Technology

Nanoindentation on micromechanical properties and microstructure of geopolymer with nano-SiO2 and nano-TiO2

Zhiyu Luo, Wengui Li, Yixiang Gan, Xuzhen He, Arnaud Castel, Daichao Sheng

Summary: The addition of nano-SiO2 and nano-TiO2 particles in fly ash-based geopolymers improved compressive strength and micro mechanical properties of N-A-S-H gels. Nano-SiO2 had a greater impact on macro-strength, while nano-TiO2 significantly enhanced gel micro-mechanical properties. Both nanoparticles showed a positive effect on the early reaction rate of geopolymers.

CEMENT & CONCRETE COMPOSITES (2021)

Article Engineering, Civil

Generalising the Kozeny-Carman equation to frozen soils

Jidong Teng, Han Yan, Sihao Liang, Sheng Zhang, Daichao Sheng

Summary: The study developed a new hydraulic conductivity model for frozen soils based on the Kozeny-Carman equation, which can be used to explain the migration of water and heat in frozen soils compared to unfrozen soils. Parametric analysis revealed that unfrozen water saturation and shape coefficient ratio are important parameters affecting hydraulic conductivity. The proposed model can also be simplified to a power function for easy use.

JOURNAL OF HYDROLOGY (2021)

Article Materials Science, Composites

Piezoresistivity deterioration of smart graphene nanoplate/cement-based sensors subjected to sulphuric acid attack

Wenkui Dong, Wengui Li, Kirk Vessalas, Xuzhen He, Zhihui Sun, Daichao Sheng

Summary: Smart cement-based sensors with graphene nanoplate (GNP) have been studied for structural health monitoring under aggressive environments like sulphuric acid attacks. The results showed that after acid immersion, the surface deterioration and mass loss increased, compressive strength decreased significantly, but intact GNP/cementitious composites still exhibited linear and repeatable piezoresistivity, showing great potential for SHM. The changes in resistivity under different loads were explained by the development of conductive passages in the composites.

COMPOSITES COMMUNICATIONS (2021)

Article Construction & Building Technology

Multifunctional cementitious composites with integrated self-sensing and hydrophobic capacities toward smart structural health monitoring

Wenkui Dong, Wengui Li, Xinqun Zhu, Daichao Sheng, Surendra P. Shah

Summary: Multifunctional cementitious composites with integrated self-sensing and hydrophobicity capacities were developed and investigated using conductive graphene nanoplate (GNP) and silicone hydrophobic powder (SHP). The highest compressive and flexural strengths were achieved with 1% SHP and 2% GNP, while water absorption decreased significantly with SHP content. The water contact angle initially increased and then decreased with the dosages of GNP and SHP.

CEMENT & CONCRETE COMPOSITES (2021)

Article Engineering, Geological

Particle breakage of granular soils: changing critical state line and constitutive modelling

Chen-Xi Tong, Ming-Yue Zhai, Hai-Chao Li, Sheng Zhang, Daichao Sheng

Summary: This paper summarizes the latest advances in studying the effects of soil particle breakage on soil mechanics properties and relevant constitutive models. By quantifying particle size distribution and the evolution of particle breakage, a new critical state model treating PSD as a variable is proposed. The model is validated against experimental data and compared with other constitutive models, showing satisfactory performance.

ACTA GEOTECHNICA (2022)

Article Engineering, Geological

Deep learning for efficient stochastic analysis with spatial variability

Xuzhen He, Fang Wang, Wengui Li, Daichao Sheng

Summary: The study introduces the use of deep learning to train models for improving computational efficiency in stochastic analysis. Training models with a large dataset allows for accurate results for new data without the need for re-training. The research shows that deep learning models have a competitive edge in complex problems and can extend their capabilities by generating more data and re-training.

ACTA GEOTECHNICA (2022)

Article Construction & Building Technology

Intrinsic graphene/cement-based sensors with piezoresistivity and superhydrophobicity capacities for smart concrete infrastructure

Wenkui Dong, Wengui Li, Zhihui Sun, Idris Ibrahim, Daichao Sheng

Summary: This study applied different surface coatings to graphene/cement-based sensors to achieve superhydrophobicity and enhance piezoresistive stability. The results showed improved water resistance and sensitivity in the sensors, making them suitable for structural health monitoring of smart concrete infrastructure.

AUTOMATION IN CONSTRUCTION (2022)

Article Construction & Building Technology

Piezoresistive performance of hydrophobic cement-based sensors under moisture and chloride-rich environments

Wenkui Dong, Wengui Li, Yipu Guo, Fulin Qu, Kejin Wang, Daichao Sheng

Summary: The study utilized SHP and CWA to enhance the impermeability of CB/cement-based sensors. Results showed that SHP improved water impermeability, while CWA enhanced chloride resistance. Performance testing in different environments demonstrated that SHP had a more stable impact on electrical resistivity and piezoresistivity.

CEMENT & CONCRETE COMPOSITES (2022)

Article Construction & Building Technology

Nano/micromechanical characterisation and image analysis on the properties and heterogeneity of ITZs in geopolymer concrete

Zhiyu Luo, Wengui Li, Kejin Wang, Surendra P. Shah, Daichao Sheng

Summary: The study analyzed the heterogeneity and properties of ITZs in geopolymer concrete, revealing that the gel-related phases at the top and bottom boundaries have higher mechanical properties. A strategy involving polished aggregates, rapid scratch, and statistical analysis was proposed for investigating complex ITZs within a reasonable testing duration.

CEMENT AND CONCRETE RESEARCH (2022)

Article Computer Science, Interdisciplinary Applications

Assessing the accuracy and efficiency of different order implicit and explicit integration schemes

Marti Lloret-Cabot, Daichao Sheng

Summary: This paper evaluates the computational performance of a first order accurate fully implicit integration scheme and four different order explicit substepping integration schemes, in order to provide practical guidance for solving numerical problems in geotechnical engineering involving critical state models.

COMPUTERS AND GEOTECHNICS (2022)

Article Engineering, Geological

On compression behavior and particle breakage of carbonate silty sands

Chen-Xi Tong, Zong-Lei Dong, Quan Sun, Sheng Zhang, Jun-Xing Zheng, Daichao Sheng

Summary: Carbonate soils, with high compressibility and low particle strength, require special treatment in geotechnical applications. This study conducted one-dimensional compression tests on carbonate soils with different initial particle size distributions and void ratios at a high vertical stress. The results show different deformation mechanisms and behavior modes based on silt fraction and void ratio.

ENGINEERING GEOLOGY (2022)

Biographical-Item Computer Science, Interdisciplinary Applications

In memory of Scott William Sloan (1954-2019)

George Kouretzis, Daichao Sheng, Hywel Rhys Thomas

COMPUTERS AND GEOTECHNICS (2022)

Article Construction & Building Technology

Mechanical properties and piezoresistive performances of intrinsic graphene nanoplate/cement-based sensors subjected to impact load

Wenkui Dong, Wengui Li, Yipu Guo, Kejin Wang, Daichao Sheng

Summary: This study investigates the electrical, mechanical, and piezoresistive properties of graphene nanoplate (GNP)/cementitious composites after exposure to impact load. The results show that the composites filled with 2% GNP exhibit better stability and less variation in properties after impact compared to the composites filled with 1% GNP. This suggests that 2% GNP filled composites have great potential as cement-based sensors, providing stable piezoresistivity even after exposure to impact load.

CONSTRUCTION AND BUILDING MATERIALS (2022)

Article Computer Science, Interdisciplinary Applications

A study of Hydraulic fracture propagation in laminated shale using extended finite element method

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

A thermodynamic constitutive model for structured and destructured clays

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

Influence of particle shape on creep and stress relaxation behaviors of granular materials based on DEM

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

Modified non-dominated sorting genetic algorithm-II for the optimal design of soil-concrete periodic plane wave barriers

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

Elastic-viscoplastic model for coarse-grained soil considering particle breakage

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

Probabilistic analysis of ground settlement induced by tunnel excavation in multilayered soil considering spatial variability

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

Theoretical analysis of stratum horizontal displacements caused by small radius curve shield tunneling

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

Insight into enhancing foundation stability with rubber-soil mixtures: A nanofriction study

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

Elastoplastic solution of a circular tunnel in surrounding rock with any nonlinear yield criteria and plastic flow envelopes

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

Machine learning approach to predicting the macro-mechanical properties of rock from the meso-mechanical parameters

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

Two-phase modelling of erosion and deposition process during overtopping failure of landslide dams using GPU-accelerated ED-SPH

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

Interface formulation for generalized finite difference method for solving groundwater flow

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

Application of improved Picard iteration method to simulate unsaturated flow and deformation in deformable porous media

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

Evaluation of the horizontal cyclic shear stress on the enclosed soil in DSM grid-improved ground by numerical simulation

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

Predicting peak shear strength of rock fractures using tree-based models and convolutional neural network

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)