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Article

Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies

1
Centre for Infrastructure Engineering, School of Engineering, Western Sydney University, Sydney, NSW 2751, Australia
2
School of Civil and Environmental Engineering, University of Technology, Sydney, NSW 2007, Australia
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(12), 2291; https://doi.org/10.3390/rs13122291
Submission received: 6 April 2021 / Revised: 16 May 2021 / Accepted: 3 June 2021 / Published: 11 June 2021
(This article belongs to the Special Issue Bridge Monitoring Using Remote Sensors)

Abstract

Bridge infrastructures are continuously subject to degradation due to aging and excess loading, placing users at risk. It has now become a major concern worldwide, where the majority of bridge infrastructures are approaching their design life. This compels the engineering community to develop robust methods for continuous monitoring of bridge infrastructures including the loads passing over them. Here, a moving load identification method based on the explicit form of Newmark-β method and Generalized Tikhonov Regularization is proposed. Most of the existing studies are based on the state space method, suffering from the errors of a large discretization and a low sampling frequency. The accuracy of the proposed method is investigated numerically and experimentally. The numerical study includes a single simply supported bridge and a three-span continuous bridge, and the experimental study includes a single-span simply supported bridge installed by sensors. The effects of factors such as the number of sensors, sensor locations, road roughness, measurement noise, sampling frequency and vehicle speed are investigated. Results indicate that the method is not sensitive to sensor placement and sampling frequencies. Furthermore, it is able to identify moving loads without disruptions when passing through supports of a continuous bridge, where most the existing methods fail.
Keywords: moving load identification; bridge health monitoring; explicit form of Newmark-β method; road roughness; generalized Tikhonov regularization; vehicle-bridge interaction system moving load identification; bridge health monitoring; explicit form of Newmark-β method; road roughness; generalized Tikhonov regularization; vehicle-bridge interaction system
Graphical Abstract

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MDPI and ACS Style

Pourzeynali, S.; Zhu, X.; Ghari Zadeh, A.; Rashidi, M.; Samali, B. Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies. Remote Sens. 2021, 13, 2291. https://doi.org/10.3390/rs13122291

AMA Style

Pourzeynali S, Zhu X, Ghari Zadeh A, Rashidi M, Samali B. Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies. Remote Sensing. 2021; 13(12):2291. https://doi.org/10.3390/rs13122291

Chicago/Turabian Style

Pourzeynali, Solmaz, Xinqun Zhu, Ali Ghari Zadeh, Maria Rashidi, and Bijan Samali. 2021. "Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies" Remote Sensing 13, no. 12: 2291. https://doi.org/10.3390/rs13122291

APA Style

Pourzeynali, S., Zhu, X., Ghari Zadeh, A., Rashidi, M., & Samali, B. (2021). Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies. Remote Sensing, 13(12), 2291. https://doi.org/10.3390/rs13122291

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