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Sujith Mangalathu

Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach
2020 · Sujith Mangalathu, Seong-Hoon Hwang, et al. · Engineering Structures · 1,117
Interpretable XGBoost-SHAP Machine-Learning Model for Shear Strength Prediction of Squat RC Walls
2021 · De-Cheng Feng, Wen-Jie Wang, et al. · Journal of Structural Engineering · 461
Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques
2018 · Sujith Mangalathu, Jong-Su Jeon · Engineering Structures · 368
Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach
2021 · Jesika Rahman, Khondaker Sakil Ahmed, et al. · Engineering Structures · 359
Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls
2020 · Sujith Mangalathu, Hansol Jang, et al. · Engineering Structures · 345
Classifying earthquake damage to buildings using machine learning
2019 · Sujith Mangalathu, Han Sun, et al. · Earthquake Spectra · 317
Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements
2021 · De-Cheng Feng, Wen-Jie Wang, et al. · Engineering Structures · 314
Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classes
2018 · Sujith Mangalathu, Gwanghee Heo, et al. · Engineering Structures · 305
Machine Learning–Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study
2019 · Sujith Mangalathu, Jong-Su Jeon · Journal of Structural Engineering · 283
Rapid seismic damage evaluation of bridge portfolios using machine learning techniques
2019 · Sujith Mangalathu, Seong-Hoon Hwang, et al. · Engineering Structures · 223
Machine learning-based approaches for seismic demand and collapse of ductile reinforced concrete building frames
2020 · Seong-Hoon Hwang, Sujith Mangalathu, et al. · Journal of Building Engineering · 197
Critical uncertainty parameters influencing seismic performance of bridges using Lasso regression
2017 · Sujith Mangalathu, Jong‐Su Jeon, et al. · Earthquake Engineering & Structural Dynamics · 179
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Explainable machine learning models for punching shear strength estimation of flat slabs without transverse reinforcement
2021 · Sujith Mangalathu, Hanbyeol Shin, et al. · Journal of Building Engineering · 173
Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems
2021 · Sujith Mangalathu, Karthika Karthikeyan, et al. · Engineering Structures · 167
Stripe‐based fragility analysis of multispan concrete bridge classes using machine learning techniques
2019 · Sujith Mangalathu, Jong‐Su Jeon · Earthquake Engineering & Structural Dynamics · 163
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Predicting the dissolution kinetics of silicate glasses using machine learning
2018 · N.M. Anoop Krishnan, Sujith Mangalathu, et al. · Journal of Non-Crystalline Solids · 140
Data‐driven rapid damage evaluation for life‐cycle seismic assessment of regional reinforced concrete bridges
2022 · Ji‐Gang Xu, De‐Cheng Feng, et al. · Earthquake Engineering & Structural Dynamics · 135
Explainable machine learning models for predicting the axial compression capacity of concrete filled steel tubular columns
2022 · Celal Cakiroglu, Kamrul Islam, et al. · Construction and Building Materials · 128
Deep learning-based classification of earthquake-impacted buildings using textual damage descriptions
2019 · Sujith Mangalathu, Henry V. Burton · International Journal of Disaster Risk Reduction · 125
Parameterized Seismic Fragility Curves for Curved Multi-frame Concrete Box-Girder Bridges Using Bayesian Parameter Estimation
2017 · Jong-Su Jeon, Sujith Mangalathu, et al. · Journal of Earthquake Engineering · 115
ANCOVA-based grouping of bridge classes for seismic fragility assessment
2016 · Sujith Mangalathu, Jong-Su Jeon, et al. · Engineering Structures · 87
Bridge classes for regional seismic risk assessment: Improving HAZUS models
2017 · Sujith Mangalathu, Farahnaz Soleimani, et al. · Engineering Structures · 84
Seismic damage state predictions of reinforced concrete structures using stacked long short-term memory neural networks
2021 · Bilal Ahmed, Sujith Mangalathu, et al. · Journal of Building Engineering · 81
Fragility analysis of gray iron pipelines subjected to tunneling induced ground settlement
2018 · Pengpeng Ni, Sujith Mangalathu · Tunnelling and Underground Space Technology · 80
Fragility analysis of continuous pipelines subjected to transverse permanent ground deformation
2018 · Pengpeng Ni, Sujith Mangalathu, et al. · SOILS AND FOUNDATIONS · 79
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Works count: 130
Citation count: 8,200
H-index: 40
I10-index: 87
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