Residential College | false |
Status | 即將出版Forthcoming |
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 Publication | Journal of Sound and Vibration |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | YAN WANGJI |
Affiliation | 1.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 Affilication | University of Macau |
Corresponding Author Affilication | University 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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