Bayesian RC-Frame Finite Element Model Updating and Damage Estimation Using Nested Sampling with Nonlinear Time History

Bayesian RC-Frame Finite Element Model Updating and Damage Estimation Using Nested Sampling with Nonlinear Time History

This paper proposes a Bayesian RC-frame finite element model updating (FEMU) and damage state estimation approach using the nonlinear acceleration time history based on nested sampling. Numerical RC-frame finite element model (FEM) parameters are selected through nested sampling, and their probabili...

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Bibliographic Details
Main Authors: Kunyang Wang, Yukihide Kajita, Yaoxin Yang
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Buildings
Subjects:
Bayesian model updating
structural health monitoring
nested sampling
Bayesian model selection
finite element model
nonlinear model
Online Access:https://www.mdpi.com/2075-5309/13/5/1281

Internet

https://www.mdpi.com/2075-5309/13/5/1281

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