Gibbs Sampling for Damage Detection Using Complex Modal Data from Multiple Setups-Reference-Cited by-同舟云学术

Gibbs Sampling for Damage Detection Using Complex Modal Data from Multiple Setups

Published:2021-06 Issue:2 Volume:7 Page:04021018
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Das Ayan¹,Debnath Nirmalendu²^ORCID

Affiliation:

1. Ph.D. Student, Dept. of Civil Engineering, National Institute of Technology, Silchar, Assam 788010, India.

2. Assistant Professor, Dept. of Civil Engineering, National Institute of Technology, Silchar, Assam 788010, India (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/AJRUA6.0001135

Reference54 articles.

1. A NEW GIBBS SAMPLING BASED BAYESIAN MODEL UPDATING APPROACH USING MODAL DATA FROM MULTIPLE SETUPS

2. Beck J. L. 1996. “System identification methods applied to measured seismic response.” In Proc. 11th World Conf. on Earthquake Engineering. New York: Elsevier.

3. Bayesian Updating of Structural Models and Reliability using Markov Chain Monte Carlo Simulation

4. Updating Models and Their Uncertainties. I: Bayesian Statistical Framework

5. Probabilistic identification of simulated damage on the Dowling Hall footbridge through Bayesian finite element model updating

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