V
Viet-Hung Truong
Researcher at Water Resources University
Publications - 45
Citations - 533
Viet-Hung Truong is an academic researcher from Water Resources University. The author has contributed to research in topics: Computer science & Girder. The author has an hindex of 10, co-authored 36 publications receiving 265 citations. Previous affiliations of Viet-Hung Truong include Sejong University.
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Machine learning-based prediction of CFST columns using gradient tree boosting algorithm
TL;DR: This paper presents an efficient and powerful machine learning-based framework for strength predicting of concrete filled steel tubular (CFST) columns under concentric loading based on the gradient tree boosting (GTB) algorithm.
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A robust method for safety evaluation of steel trusses using Gradient Tree Boosting algorithm
TL;DR: The numerical results show that the developed GTB models provide high accurate (more than 90%) regardless of the number of training data and design variable types and have the best performance in most considered cases.
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Optimum Design of Stay Cables of Steel Cable-stayed Bridges Using Nonlinear Inelastic Analysis and Genetic Algorithm
TL;DR: An effective method to optimize stay cables of steel cable-stayed bridges using nonlinear inelastic analysis and a micro-genetic algorithm (μGA) is presented, which allows a significant reduction of computational effort.
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An efficient method for optimizing space steel frames with semi-rigid joints using practical advanced analysis and the micro-genetic algorithm
TL;DR: Not only cross-sectional areas of beam and column members but also semi-rigid connection types are variables of the optimization, and the results of some steel frame examples prove that the proposed method is computationally efficient and reliable.
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Reliability-based design optimization of nonlinear inelastic trusses using improved differential evolution algorithm
TL;DR: A robust method for sizing reliability-based design optimization (RBDO) of truss structures is developed by integrating nonlinear inelastic analysis, a structural reliability analysis method, and a proposed optimization method based on differential evolution (DE) algorithm.