Influence of data splitting on performance of machine learning models in prediction of shear strength of soil

QH Nguyen, HB Ly, LS Ho, N Al-Ansari… - Mathematical …, 2021 - Wiley Online Library
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 …

A review of soil modeling for numerical simulations of soil-tire/agricultural tools interaction

D Jasoliya, A Untaroiu, C Untaroiu - Journal of Terramechanics, 2024 - Elsevier
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 …

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 …

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 …

A micro-mechanical model for unsaturated soils based on DEM

X Liu, A Zhou, S Shen, J Li, D Sheng - Computer Methods in Applied …, 2020 - Elsevier
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 …

A hybrid computational intelligence approach for predicting soil shear strength for urban housing construction: a case study at Vinhomes Imperia project, Hai Phong …

VH Nhu, ND Hoang, VB Duong, HD Vu… - Engineering with …, 2020 - Springer
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) …

Stochastic analysis of rainfall-induced slope instability and steady-state seepage flow using random finite-element method

A Johari, A Talebi - International Journal of Geomechanics, 2019 - ascelibrary.org
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 …

[PDF][PDF] State of the Art Report. Advances in Unsaturated Soil Mechanics: Constitutive modelling, experimental investigation, and field instrumentation

N Khalili, E Romero, FA Marinho - … of the 20th ICSMGE-State of the Art …, 2022 - unsw.edu.au
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 …

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 …

An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength

MT Cao, ND Hoang, VH Nhu, DT Bui - Engineering with Computers, 2022 - Springer
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 …