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Two-Stage Fast Bayesian Inference for Rail Model Updating and Crack Detection with Ultrasonic Guided Wave Measurements and Advanced Wave Propagation Simulation
Zhan Jiang-Zheng1; YAN WANGJI1; Wu Wen2; Chronopoulos Dimitrios3
2024-11
Source PublicationJournal of Sound and Vibration
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorYAN WANGJI
Affiliation1.State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, China
2.Institute for Aerospace Technology, Resilience Engineering Research Group, The University of Nottingham, UK
3.Department of Mechanical Engineering & Mecha(tro)nic System Dynamics (LMSD), KU Leuven, Belgium
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhan Jiang-Zheng,YAN WANGJI,Wu Wen,et al. Two-Stage Fast Bayesian Inference for Rail Model Updating and Crack Detection with Ultrasonic Guided Wave Measurements and Advanced Wave Propagation Simulation[J]. Journal of Sound and Vibration, 2024.
APA Zhan Jiang-Zheng., YAN WANGJI., Wu Wen., & Chronopoulos Dimitrios (2024). Two-Stage Fast Bayesian Inference for Rail Model Updating and Crack Detection with Ultrasonic Guided Wave Measurements and Advanced Wave Propagation Simulation. Journal of Sound and Vibration.
MLA Zhan Jiang-Zheng,et al."Two-Stage Fast Bayesian Inference for Rail Model Updating and Crack Detection with Ultrasonic Guided Wave Measurements and Advanced Wave Propagation Simulation".Journal of Sound and Vibration (2024).
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