Damage Localization and Quantification Assessment in Structures Using Probabilistic Model Updating, M.Sc. Thesis Sharif University of Technology ; Bakhshi, Ali (Supervisor)
Abstract
This research focuses on probabilistic damage detection in the finite element model by using an application of Bayes' inference rule. Density and elastic modulus are sources of uncertainties in structures, therefore the probabilistic method is chosen instead of deterministic. According to the test's data, the distribution of density and elastic modulus have been updated. Then through Bayes' rule the probability of each damage state updates by modal data. Damage states are defined through a coefficient between 0-1 by multiplying to the inertia of elements of the structure. After each observation, the posterior probabilities are updated and this process happens through the multiplication of...
Cataloging briefDamage Localization and Quantification Assessment in Structures Using Probabilistic Model Updating, M.Sc. Thesis Sharif University of Technology ; Bakhshi, Ali (Supervisor)
Abstract
This research focuses on probabilistic damage detection in the finite element model by using an application of Bayes' inference rule. Density and elastic modulus are sources of uncertainties in structures, therefore the probabilistic method is chosen instead of deterministic. According to the test's data, the distribution of density and elastic modulus have been updated. Then through Bayes' rule the probability of each damage state updates by modal data. Damage states are defined through a coefficient between 0-1 by multiplying to the inertia of elements of the structure. After each observation, the posterior probabilities are updated and this process happens through the multiplication of...
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