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

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.

• Record URL:
  http://madis-externe.ifsttar.fr/exl-php/DOC00022119
• Authors:
  • WAEYTENS, Julien
  • ROSIC, Bojana
• Conference:
  • ESCO 2014 - The Fourth European Seminar on Computing
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Digital/other
• Pagination: p 3-16
• Serial:
  • Applied Mathematics and Computation
  • Volume: 267

Subject/Index Terms

• TRT Terms: Defects; Reinforced concrete; Structures; Surveillance
• ITRD Terms: 4794: Beton arme; 9101: Controle; 5238: Defaut (tech); 3355: Ouvrage d'art (gen)
• Subject Areas: Bridges and other structures;

Filing Info

• Accession Number: 01688981
• Record Type: Publication
• Source Agency: Institut Francais des Sciences et Technologies des Transports, de l'Amenagement et des Reseaux (IFSTTAR)
• Contract Numbers: 13R10501, Projet SIPRIS
• Files: ITRD
• Created Date: Dec 18 2018 10:20AM