State-of-the-Art Review of Machine Learning Applications in Constitutive Modeling of Soils

Archives of Computational Methods in Engineering, Journal Year: 2021, Volume and Issue: 28(5), P. 3661 - 3686

Published: Jan. 5, 2021

Language: Английский

---

Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm

Journal of Rock Mechanics and Geotechnical Engineering, Journal Year: 2022, Volume and Issue: 14(4), P. 1292 - 1303

Published: April 14, 2022

Language: Английский

---

Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 136, P. 110066 - 110066

Published: Feb. 2, 2023

Language: Английский

---

Micro‐mechanical analysis of one‐dimensional compression of clay with DEM

International Journal for Numerical and Analytical Methods in Geomechanics, Journal Year: 2023, Volume and Issue: 47(15), P. 2706 - 2724

Published: July 19, 2023

Abstract In order to clarify the micro‐mechanics of clay during compression, behavior subjected one‐dimensional compression is investigated at particle scale using discrete element method (DEM). The flaky particles in simulation are approximated by clumps made spheres. A new contact model implemented account for double‐layer repulsive force, van der Waals attractive force and mechanical force. effect sphere arrangement clump discussed. DEM validated against experimental observations terms macroscopic compressibility, dip angle as well over consolidated behavior. e ‐log σ v curve shows a concave‐to‐linear shape. evolution indicates that tend have an anisotropy with preferential orientation towards horizontal direction. increase preconsolidation pressure decreases initial compressibility due number contacts. average coordination sphere‐sphere majority contacts generated before compressive stress reaches 100 kPa. Evolution soil fabric presented

Language: Английский

---

A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling

Transportation Geotechnics, Journal Year: 2020, Volume and Issue: 27, P. 100508 - 100508

Published: Dec. 31, 2020

Language: Английский

---

Bayesian neural network-based uncertainty modelling: application to soil compressibility and undrained shear strength prediction

Canadian Geotechnical Journal, Journal Year: 2021, Volume and Issue: 59(4), P. 546 - 557

Published: July 15, 2021

This study adopts the Bayesian neural network (BNN) integrated with a strong non-linear fitting capability and uncertainty, which has not previously been used in geotechnical engineering, to propose modelling strategy developing prediction models for soil properties. The compression index C c undrained shear strength s u of clays are selected as examples. Variational inference (VI) Monte Carlo dropout (MCD), two theoretical frameworks solving approximating BNN, respectively, employed compared. results indicate that BNN focused on identifying patterns datasets, predicted show excellent agreement actual values. reliability using is high area dense datasets. In contrast, demonstrates low result sparse Additionally, novel parametric analysis method combination cumulative distribution function proposed. BNN-based capable capturing relationships input parameters . its reliable evaluation, therefore, shows great potential be applied design.

Language: Английский

---

A novel deep learning-based modelling strategy from image of particles to mechanical properties for granular materials with CNN and BiLSTM

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2021, Volume and Issue: 382, P. 113858 - 113858

Published: April 24, 2021

Language: Английский

---

Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network

Acta Geotechnica, Journal Year: 2021, Volume and Issue: 17(4), P. 1167 - 1182

Published: July 30, 2021

Language: Английский

---

Analytical approach to predict tunneling-induced subsurface settlement in sand considering soil arching effect

Computers and Geotechnics, Journal Year: 2021, Volume and Issue: 141, P. 104492 - 104492

Published: Oct. 25, 2021

Language: Английский

---

Compaction quality evaluation of subgrade based on soil characteristics assessment using machine learning

Transportation Geotechnics, Journal Year: 2021, Volume and Issue: 32, P. 100703 - 100703

Published: Dec. 13, 2021

Language: Английский

---