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Duong Huong Nguyen
Researcher at Ghent University
Publications - 8
Citations - 124
Duong Huong Nguyen is an academic researcher from Ghent University. The author has contributed to research in topics: Finite element method & Computer science. The author has an hindex of 3, co-authored 6 publications receiving 31 citations. Previous affiliations of Duong Huong Nguyen include National University of Civil Engineering.
Papers
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Journal ArticleDOI
A hybrid computational intelligence approach for structural damage detection using marine predator algorithm and feedforward neural networks
Long Viet Ho,Long Viet Ho,Duong Huong Nguyen,Duong Huong Nguyen,Mohsen Mousavi,Guido De Roeck,Thanh Bui-Tien,Amir H. Gandomi,Magd Abdel Wahab +8 more
TL;DR: An effective approach for damage detection by using a recently developed novel swarm intelligence algorithm, i.e. the marine predator algorithm (MPA), and the superior and stable performance of MPAFNN proves its effectiveness.
Journal ArticleDOI
Damage detection in Ca-Non Bridge using transmissibility and artificial neural networks
Journal ArticleDOI
Damage detection in girder bridges using modal curvatures gapped smoothing method and Convolutional Neural Network: Application to Bo Nghi bridge
Duong Huong Nguyen,Duong Huong Nguyen,Quoc Bao Nguyen,Thanh Bui-Tien,Guido De Roeck,Magd Abdel Wahab +5 more
TL;DR: This paper addresses a damage detection method based on changes in modal curvature combined with Convolutional Neural Network and indicates that the combination of GSM and CNN can be used for damage detection and localization.
Journal ArticleDOI
Damage detection in steel plates using feed-forward neural network coupled with hybrid particle swarm optimization and gravitational search algorithm
Long Viet Ho,Duong Huong Nguyen,Duong Huong Nguyen,Guido De Roeck,Thanh Bui-Tien,Magd Abdel Wahab +5 more
TL;DR: In this article, a two-stage approach for failure identification in a steel beam is introduced, in the first step, the presence of defects and their positions are identified by modal indices, and in the second step, a feedforward neural network, improved by a hybrid particle swarm optimization and gravitational search algorithm, is used to quantify the severity of damage.
Book ChapterDOI
Damage Evaluation of Free-Free Beam Based on Vibration Testing
TL;DR: In this article, a finite element model is used to model the free-free beam and three models are considered: beam (1D), shell (2D), and solid (3D).