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...
Saved in:
Main Authors: | Zhang, Feng-Liang, Au, Siu-Kui, Ni, Yan-Chun |
---|---|
Other Authors: | School of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/143231 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Bayesian two-stage structural identification with equivalent formulation and EM algorithm
by: Zhu, Jia-Xin, et al.
Published: (2024) -
Accelerating computations in two-stage Bayesian system identification with Fisher information matrix and eigenvalue sensitivity
by: Zhu, Jia-Xin, et al.
Published: (2022) -
Effect of sodium on methanogens in a two-stage anaerobic system
by: Xiao, Keke, et al.
Published: (2022) -
Optimization of two-stage thermoelectric coolers with two design configurations
by: Xuan, X.C., et al.
Published: (2014) -
Two-stage stochastic programming for coordinated operation of distributed energy resources in unbalanced active distribution networks with diverse correlated uncertainties
by: Leng, Ruoxuan, et al.
Published: (2023)