Comparison of deterministic and probabilistic approaches to identify the dynamic moving load and damages of a reinforced concrete beam

Julien Waeytens*, Bojana Rosić

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Two classical civil engineering inverse problems are considered. The first deals with the determination of dynamic moving loads applied to a reinforced concrete beam. The second one corresponds to the monitoring and the damage assessment. The concrete damage due to overloading is modeled by a loss of the concrete Young' modulus, whereas the steel bar damage due to corrosion effects is modeled by a reduction of the steel bar cross section. To identify the loading and damage parameters, deterministic and probabilistic model updating techniques are applied and compared. In the deterministic approach, a gradient descent technique based on the adjoint framework is used to minimize the data misfit functional with a Tikhonov regularization term. Then, a regularization by a means of Bayes's rule is considered in a probabilistic approach. The estimation is of the minimum variance type achieved with the help of the transformed ensemble Kalman filter.

Original languageEnglish
Pages (from-to)3-16
Number of pages14
JournalApplied mathematics and computation
Volume267
DOIs
Publication statusPublished - 15 Sep 2015
Externally publishedYes

Keywords

  • Adjoint method
  • Bayesian updating
  • Inverse problems
  • Optimal control
  • Structural dynamics

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