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Kongtawan Sangjinda
Kongtawan Sangjinda
Department of Civil Engineering, Faculty of Engineering, Chulalongkorn University
Verified email at student.chula.ac.th - Homepage
Title
Cited by
Cited by
Year
Neural network-based prediction model for the stability of unlined elliptical tunnels in cohesive-frictional soils
S Sirimontree, S Keawsawasvong, C Ngamkhanong, S Seehavong, ...
Buildings 12 (4), 444, 2022
262022
Soft-computing techniques for predicting seismic bearing capacity of strip footings in slopes
DR Kumar, P Samui, W Wipulanusat, S Keawsawasvong, K Sangjinda, ...
Buildings 13 (6), 1371, 2023
212023
A machine learning regression approach for predicting the bearing capacity of a strip footing on rock mass under inclined and eccentric load
VQ Lai, K Sangjinda, S Keawsawasvong, A Eskandarinejad, VB Chauhan, ...
Frontiers in Built Environment 8, 962331, 2022
202022
Data-driven prediction of stability of rock tunnel heading: an application of machine learning models
C Ngamkhanong, S Keawsawasvong, T Jearsiripongkul, LT Cabangon, ...
Infrastructures 7 (11), 148, 2022
182022
Stability evaluations of unlined horseshoe tunnels based on extreme learning neural network
T Jearsiripongkul, S Keawsawasvong, R Banyong, S Seehavong, ...
Computation 10 (6), 81, 2022
142022
Soft computing techniques for predicting penetration and uplift resistances of dual pipelines in cohesive soils
DR Kumar, P Samui, W Wipulanusat, S Keawsawasvong, K Sangjinda, ...
Engineered Science 24, 897, 2023
82023
Bearing capacity of eccentrically loaded footings on rock masses using soft computing techniques
DR Kumar, P Samui, W Wipulanusat, S Keawsawasvong, K Sangjinda, ...
Eng Sci 24 (929), 929, 2023
62023
Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses
DR Kumar, P Samui, W Wipulanusat, S Keawsawasvong, K Sangjinda, ...
Earth Science Informatics 16 (4), 4153-4168, 2023
52023
Developing soft-computing regression model for predicting bearing capacity of eccentrically loaded footings on anisotropic clay
K Sangjinda, R Banyong, S Alzabeebee, S Keawsawasvong
Artificial Intelligence in Geosciences 4, 68-75, 2023
32023
An extreme learning neural network approach for seismic bearing capacity estimation of planar caissons in nonhomogeneous clays
VQ Lai, VB Chauhan, S Keawsawasvong, K Sangjinda, JT Chavda, ...
Earth Science Informatics 17 (1), 251-270, 2024
22024
Soft Computing-Based Models for Estimating the Ultimate Bearing Capacity of an Annular Footing on Hoek–Brown Material
S Keawsawasvong, K Sangjinda, W Jitchaijaroen, S Alzabeebee, ...
Arabian Journal for Science and Engineering, 1-18, 2023
12023
Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay
K Sangjinda, DR Kumar, S Keawsawasvong, W Wipulanusat, ...
Advances in Engineering Software 193, 103668, 2024
2024
FELA Evaluation of Undrained Stability of Active Dual trapdoors in non-homogenous Soil
H Rai, JT Chavda, S Keawsawasvong, K Sangjinda, P Jamsawang
Indian Geotechnical Journal 53 (6), 1468-1478, 2023
2023
Stability Charts for Limiting Horizontal Normal Pressure on Cohesive-frictional Backfill for Deep Contiguous Piled Walls
S Keawsawasvong, J Kumar, R Banyong, K Sangjinda
Open Civil Engineering Journal 16 (1), 2022
2022
Artificial Intelligence in Geosciences
K Sangjinda, R Banyong, S Alzabeebee, S Keawsawasvong
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