Unconfined Compressive Strength Prediction of Soils Improved with Biopolymers: Machine Learning Approach DOI
Mahmoud Ghazavi,

Mobina Taslimi Paein Afrakoti

Transportation Infrastructure Geotechnology, Journal Year: 2024, Volume and Issue: 12(1)

Published: Nov. 9, 2024

Language: Английский

Evaluating the impact of eccentric loading on strip footing above horseshoe tunnels in rock mass using adaptive finite element limit analysis and machine learning DOI
Aayush Kumar, Vinay Bhushan Chauhan

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 17(5), P. 4441 - 4471

Published: July 8, 2024

Language: Английский

Citations

2
Physics-based and data-driven modeling for basal stability evaluation of braced excavations in natural clays DOI Creative Commons
Van Qui Lai,

Khamnoy Kounlavong,

Suraparb Keawsawasvong

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(10), P. e20902 - e20902

Published: Oct. 1, 2023

The design of fully braced excavation underground works, whether in rural or urban areas, is important to ensure that the support safe, particularly determining depth and inserting length into clay wall, as well a proportional width. This study investigates undrained basal stability anisotropic clays with linearly increasing shear strength employing upper lower bound finite element limit analysis under symmetry plane conditions based on AUS failure criterion. dimensionless variables were used examine number (N) mechanisms selected for this problem's practical analysis. There an ratio (re), depth-wide (B/H), embedded wall (D/H), gradient factor (ρH/Suc0). proposes charts excavations Moreover, artificial neural network model (ANN) was establish relationship between investigated output conduct sensitivity Therefore, developed ANN formula pragmatic approach geotechnical engineers calculate excavations.

Language: Английский

Citations

5
An extreme learning neural network approach for seismic bearing capacity estimation of planar caissons in nonhomogeneous clays DOI
Van Qui Lai, Vinay Bhushan Chauhan, Suraparb Keawsawasvong

et al.

Earth Science Informatics, Journal Year: 2023, Volume and Issue: 17(1), P. 251 - 270

Published: Nov. 25, 2023

Language: Английский

Citations

5
Data-Driven Modeling for Stability Evaluation of Cylindrical Boreholes with Slurry in Anisotropic and Non-Homogeneous Clays DOI Open Access

Khamnoy Kounlavong,

Jim Shiau, Van Qui Lai

et al.

Engineered Science, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Language: Английский

Citations

2
Drained Bearing Capacity of Skirted Circular and Ring Footings with Varying Depths of Skirts DOI
Brijesh Akabari, Jitesh T. Chavda, Wittaya Jitchaijaroen

et al.

Transportation Infrastructure Geotechnology, Journal Year: 2024, Volume and Issue: 11(5), P. 3019 - 3061

Published: May 3, 2024

Language: Английский

Citations

0
Multi-model Investigation on Dynamic Response of Machine Foundations Resting on Geogrid Reinforced Foundation Bed DOI
Gobinda Das, Priyanka Ghosh

International Journal of Geosynthetics and Ground Engineering, Journal Year: 2024, Volume and Issue: 10(4)

Published: June 12, 2024

Language: Английский

Citations

0
Artificial Intelligence for Bearing Capacity Evaluation of Shallow Foundation: an Overview DOI
Mohammad Khajehzadeh, Suraparb Keawsawasvong

Geotechnical and Geological Engineering, Journal Year: 2024, Volume and Issue: 42(7), P. 5401 - 5424

Published: July 10, 2024

Language: Английский

Citations

0
Unconfined Compressive Strength Prediction of Soils Improved with Biopolymers: Machine Learning Approach DOI
Mahmoud Ghazavi,

Mobina Taslimi Paein Afrakoti

Transportation Infrastructure Geotechnology, Journal Year: 2024, Volume and Issue: 12(1)

Published: Nov. 9, 2024

Language: Английский

Citations

0