Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses-Reference-Cited by-同舟云学术

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Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses

Published:2023-11-18 Issue:4 Volume:16 Page:4153-4168
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Kumar Divesh Ranjan,Samui Pijush,Wipulanusat Warit,Keawsawasvong Suraparb,Sangjinda Kongtawan,Jitchaijaroen Wittaya

Funder

Thammasat University Research Unit in Data Science and Digital Transformation

Thammasat University Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12145-023-01152-y.pdf

Reference60 articles.

1. Azam A, Bardhan A, Kaloop MR, Samui P, Alanazi F, Alzara M, Yosri AM (2022) Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms. Sci Rep 12(1):14454. https://doi.org/10.1038/s41598-022-17429-z

2. Bardhan A, Kardani N, Alzo’ubi AK, Roy B, Samui P, Gandomi AH, (2022) Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter. J Rock Mech Geotech Eng 14(5):1588–1608. https://doi.org/10.1016/j.jrmge.2021.12.018

3. Benmebarek S, Remadna MS, Benmebarek N, Belounar L (2012) Numerical evaluation of the bearing capacity factor nγ′ of ring footings. Comput Geotech 44:132–138

4. Benmebarek S, Saifi I, Benmebarek N (2017) Undrained vertical bearing capacity factors for ring shallow footings. Geotech Geol Eng 35:355–364

5. Chakraborty M, Kumar J (2015) Bearing capacity of circular footings over rock mass by using axisymmetric quasi lower bound finite element limit analysis. Comput Geotech 70:138–149. https://doi.org/10.1016/j.compgeo.2015.07.015

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1. Artificial Intelligence for Bearing Capacity Evaluation of Shallow Foundation: an Overview;Geotechnical and Geological Engineering;2024-07-10

2. Appraisal of numerous machine learning techniques for the prediction of bearing capacity of strip footings subjected to inclined loading;Modeling Earth Systems and Environment;2024-04-15

3. Stability of subsea circular tunnels using finite element limit analysis and adaptive neuro-fuzzy inference system;Earth Science Informatics;2024-03-28

4. Stability of Subsea Tunnels Using Finite Element Limit Analysis and Adaptive Neuro-Fuzzy Inference System;2024-01-08

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