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Open AccessArticle

Dynamic Model Updating for Bridge Structures Using the Kriging Model and PSO Algorithm Ensemble with Higher Vibration Modes

1
School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
2
Department of Civil and Environmental Engineering, National University of Singapore, 2 Engineering Drive 2, Singapore 117576, Singapore
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(6), 1879; https://doi.org/10.3390/s18061879
Received: 28 May 2018 / Revised: 4 June 2018 / Accepted: 6 June 2018 / Published: 8 June 2018
(This article belongs to the Special Issue Bridge Structural Health Monitoring and Damage Identification)
This study applied the kriging model and particle swarm optimization (PSO) algorithm for the dynamic model updating of bridge structures using the higher vibration modes under large-amplitude initial conditions. After addressing the higher mode identification theory using time-domain operational modal analysis, the kriging model is then established based on Latin hypercube sampling and regression analysis. The kriging model performs as a surrogate model for a complex finite element model in order to predict analytical responses. An objective function is established to express the relative difference between analytically predicted responses and experimentally measured ones, and the initial finite element (FE) model is hereinafter updated using the PSO algorithm. The Jalón viaduct—a concrete continuous railway bridge—is applied to verify the proposed approach. The results show that the kriging model can accurately predict the responses and reduce computational time as well. View Full-Text
Keywords: dynamic model updating; kriging model; particle swarm optimization; higher modes; bridge structure dynamic model updating; kriging model; particle swarm optimization; higher modes; bridge structure
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MDPI and ACS Style

Qin, S.; Zhang, Y.; Zhou, Y.-L.; Kang, J. Dynamic Model Updating for Bridge Structures Using the Kriging Model and PSO Algorithm Ensemble with Higher Vibration Modes. Sensors 2018, 18, 1879. https://doi.org/10.3390/s18061879

AMA Style

Qin S, Zhang Y, Zhou Y-L, Kang J. Dynamic Model Updating for Bridge Structures Using the Kriging Model and PSO Algorithm Ensemble with Higher Vibration Modes. Sensors. 2018; 18(6):1879. https://doi.org/10.3390/s18061879

Chicago/Turabian Style

Qin, Shiqiang; Zhang, Yazhou; Zhou, Yun-Lai; Kang, Juntao. 2018. "Dynamic Model Updating for Bridge Structures Using the Kriging Model and PSO Algorithm Ensemble with Higher Vibration Modes" Sensors 18, no. 6: 1879. https://doi.org/10.3390/s18061879

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