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Document type:
Zeitschriftenaufsatz 
Author(s):
Straub, D. ; Papaioannou, I. 
Title:
Bayesian Updating with Structural Reliability Methods 
Abstract:
Bayesian updating is a powerful method to learn and calibrate models with data and observations. Because of the difficulties involved in computing the high-dimensional integrals necessary for Bayesian updating, Markov chain Monte Carlo (MCMC) sampling methods have been developed and successfully applied for this task. The disadvantage of MCMC methods is the difficulty of ensuring the stationarity of the Markov chain. We present an alternative to MCMC that is particularly effective for updating m...    »
 
Keywords:
Bayesian updating, Structural reliability, Sampling, Measurements, Monitoring, FEM 
Journal title:
Journal of Engineering Mechanics 
Year:
2015 
Journal volume:
141 
Journal issue:
Reviewed:
ja 
Language:
en 
TUM Institution:
FG Risikoanalyse und Zuverlässigkeit