Two-stage Bayesian system identification using Gaussian discrepancy model

Two-stage Bayesian system identification using Gaussian discrepancy model

System identification aims at updating the model parameters (e.g., mass, stiffness) associated with the mathematical model of a structure based on measured structural response. In this process, a two-stage approach is commonly adopted. In Stage I, modal parameters including natural frequencies and m...

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Bibliographic Details
Main Authors: Zhang, Feng-Liang, Au, Siu-Kui, Ni, Yan-Chun
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Civil engineering
System Identification
Two-stage Formulation
Online Access:https://hdl.handle.net/10356/143231

Internet

https://hdl.handle.net/10356/143231

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