Bridge finite element model updating using stochastic vehicle-induced static response monitoring data

Guan, Ze-Xin; Yang, Dong-Hui; Yi, Ting-Hua; Li, Wen-Jie; Li, Chong

doi:10.1016/j.engstruct.2023.117280

Engineering Structures

2024

DOI: 10.1016/j.engstruct.2023.117280

|View full text |Cite

Bridge finite element model updating using stochastic vehicle-induced static response monitoring data

Ze-Xin Guan,

Dong-Hui Yang,

Ting-Hua Yi

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Bayesian finite element model updating with a variational autoencoder and polynomial chaos expansion

Li,

Ni,

et al. 2024

Engineering Structures

View full text Add to dashboard Cite

Bayesian finite element model updating with a variational autoencoder and polynomial chaos expansion

Li,

Ni,

et al. 2024

Engineering Structures

View full text Add to dashboard Cite

Gaussian process regression driven rapid life-cycle based seismic fragility and risk assessment of laminated rubber bearings supported highway bridges subjected to multiple uncertainty sources

Yin,

Xu,

et al. 2024

Engineering Structures

View full text Add to dashboard Cite

Dynamic Calibrating of Multiscale Bridge Model Using Long-Term Stochastic Vehicle-Induced Responses

Guan,

Yi,

Yang

et al. 2024

J. Bridge Eng.

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Bridge finite element model updating using stochastic vehicle-induced static response monitoring data

Cited by 4 publications

References 32 publications

Bayesian finite element model updating with a variational autoencoder and polynomial chaos expansion

Bayesian finite element model updating with a variational autoencoder and polynomial chaos expansion

Gaussian process regression driven rapid life-cycle based seismic fragility and risk assessment of laminated rubber bearings supported highway bridges subjected to multiple uncertainty sources

Dynamic Calibrating of Multiscale Bridge Model Using Long-Term Stochastic Vehicle-Induced Responses

Contact Info

Product

Resources

About