Influence of data splitting on performance of machine learning models in prediction of shear strength of soil
The main objective of this study is to evaluate and compare the performance of different
machine learning (ML) algorithms, namely, Artificial Neural Network (ANN), Extreme …
machine learning (ML) algorithms, namely, Artificial Neural Network (ANN), Extreme …
A review of soil modeling for numerical simulations of soil-tire/agricultural tools interaction
The study of deformable soils is one of the key factors in determining the tire, vehicle and/or
agricultural tool design parameters. This literature review provides a brief overview of soil …
agricultural tool design parameters. This literature review provides a brief overview of soil …
Effects of particle size distribution on shear strength of accumulation soil
JJ Wang, HP Zhang, SC Tang… - Journal of Geotechnical …, 2013 - ascelibrary.org
This paper focuses on the effects of particle size distribution on shear strength of
accumulation soil. A series of direct shear box tests and triaxial tests were performed to …
accumulation soil. A series of direct shear box tests and triaxial tests were performed to …
Stress distribution in direct shear loading and its implication for engineering failure analysis
Z Li, J Liu, H Liu, H Zhao, R Xu… - International Journal of …, 2023 - World Scientific
Shear stress concentrations may promote damage and failure processes. Quantities of
studies have focused on the direct shear loading test, while the analytical model has not yet …
studies have focused on the direct shear loading test, while the analytical model has not yet …
A micro-mechanical model for unsaturated soils based on DEM
A micro-mechanical model to study the microscopic and macroscopic behavior of
unsaturated soils under different suctions is proposed in this study. In the model, a novel …
unsaturated soils under different suctions is proposed in this study. In the model, a novel …
A hybrid computational intelligence approach for predicting soil shear strength for urban housing construction: a case study at Vinhomes Imperia project, Hai Phong …
This research proposes an alternative for estimating shear strength of soil based on a
hybridization of Support Vector Regression (SVR) and Particle Swarm Optimization (PSO) …
hybridization of Support Vector Regression (SVR) and Particle Swarm Optimization (PSO) …
Stochastic analysis of rainfall-induced slope instability and steady-state seepage flow using random finite-element method
The stochastic analysis of unsaturated rainfall-induced slope instability has been studied by
many researchers. However, the applicability of random FEM (RFEM) has not been used …
many researchers. However, the applicability of random FEM (RFEM) has not been used …
[PDF][PDF] State of the Art Report. Advances in Unsaturated Soil Mechanics: Constitutive modelling, experimental investigation, and field instrumentation
This state-of-the-art covers advances in the constitutive modelling, experimental
investigation and field measurement of suction for unsaturated soils. It consists of three …
investigation and field measurement of suction for unsaturated soils. It consists of three …
Water retention characteristics and state-dependent mechanical and petro-physical properties of a clay shale
KM Wild, LP Wymann, S Zimmer, R Thoeny… - Rock Mechanics and …, 2015 - Springer
A series of clay shale specimens in equilibrium with various humidity conditions were used
to establish the water retention characteristics, the influence of suction on ultrasonic p-wave …
to establish the water retention characteristics, the influence of suction on ultrasonic p-wave …
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength
Shear strength is a crucial property of soils regarded as its intrinsic capacity to resist failure
when forces act on the soil mass. This study proposes an advanced meta-leaner to discern …
when forces act on the soil mass. This study proposes an advanced meta-leaner to discern …