Probabilistic damage detection and identification of coupled structural parameters using Bayesian model updating with added mass

Author:

Zeng Jice,Kim Young HoonORCID

Funder

University of Louisville

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference54 articles.

1. Structural health monitoring for a wind turbine system: a review of damage detection methods;Ciang;MeScT,2008

2. Statistical time series methods for vibration based structural health monitoring;Fassois,2013

3. Vibration-based damage detection for a population of nominally identical structures: unsupervised multiple model (MM) statistical time series type methods;Vamvoudakis-Stefanou;Mech. Syst. Signal Process.,2018

4. Updating models and their uncertainties. I: Bayesian statistical framework;Beck;J. Eng. Mech.,1998

5. Bayesian model updating and its limitations for detecting local damage of an existing truss bridge;Mustafa;J. Bridge Eng.,2017

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