Modular Bayesian damage detection for complex civil infrastructure

We address the problem of damage identification in complex civil infrastructure with an integrative modular Bayesian framework. The proposed approach uses multiple response Gaussian processes to build an informative yet computationally affordable probabilistic model, which detects damage through inv...

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Bibliographic Details
Main Authors: Andre Jesus, Peter Brommer, Robert Westgate, Ki Koo, James Brownjohn, Irwanda Laory
Format: Default Article
Published: 2019
Subjects:
Bayesian inference
Damage detection
Long suspension bridge
Gaussian process
Structural health monitoring
Online Access:https://hdl.handle.net/2134/19902091.v1
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https://hdl.handle.net/2134/19902091.v1

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