Kongtawan Sangjinda

Data-Driven Prediction of Stability of Rock Tunnel Heading: An Application of Machine Learning Models

Chayut Ngamkhanong, Suraparb Keawsawasvong, Thira Jearsiripongkul et al. · Infrastructures · 2022 · 44 citations · Full text

Engineering, Civil Engineering, Computational Engineering +11

A machine learning regression approach for predicting the bearing capacity of a strip footing on rock mass under inclined and eccentric load

Van Qui Lai, Kongtawan Sangjinda, Suraparb Keawsawasvong et al. · Frontiers in Built Environment · 2022 · 36 citations · Full text

Engineering, Civil Engineering, Mining Engineering +15

Neural Network-Based Prediction Model for the Stability of Unlined Elliptical Tunnels in Cohesive-Frictional Soils

Sayan Sirimontree, Suraparb Keawsawasvong, Chayut Ngamkhanong et al. · Buildings · 2022 · 33 citations · Full text

Engineering, Civil Engineering, Computational Engineering +17

Stability Evaluations of Unlined Horseshoe Tunnels Based on Extreme Learning Neural Network

Thira Jearsiripongkul, Suraparb Keawsawasvong, Rungkhun Banyong et al. · Computation · 2022 · 32 citations · Full text

Engineering, Civil Engineering, Finite Element Analysis +14

Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes

Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat et al. · Buildings · 2023 · 31 citations · Full text

Engineering, Civil Engineering, Computational Engineering +11