Model updating of a bridge structure using vibration test data based on GMPSO and BPNN: case study

Model updating issues with high-dimensional and strong-nonlinear optimization processes are still unsolved by most optimization methods. In this study, a hybrid methodology that combines the Gaussian-white-noise-mutation particle swarm optimization (GMPSO), back-propagation neural network (BPNN) and...

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Veröffentlicht in:	Earthquake Engineering and Engineering Vibration 2021, Vol.20 (1), p.213-221
Hauptverfasser:	Xia, Zhiyuan, Li, Aiqun, Shi, Huiyuan, Li, Jianhui
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Back propagation networks Bridges Case studies Civil Engineering Control Dynamical Systems Earth Sciences Geotechnical Engineering & Applied Earth Sciences Heuristic methods Hypercubes Latin hypercube sampling Methodology Model testing Model updating Mutation Neural networks Noise propagation Optimization Particle swarm optimization Technical Papers Vibration Vibration tests
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