Damage identification of a railway bridge based on genetic algorithms

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Meixedo, A (Author) Other; Rui Calçada (Author) FEUP; Alves, V (Author) Other; Ribeiro, D (Author) Other; Cury, A (Author) Other

Conference proceedings International

Title: MAINTENANCE, MONITORING, SAFETY, RISK AND RESILIENCE OF BRIDGES AND BRIDGE NETWORKS

Pages: 311-311

8th International Conference on Bridge Maintenance, Safety and Management (IABMAS)

Foz do Iguacu, BRAZIL, JUN 26-30, 2016

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 2345 Citations

Other information

Authenticus ID: P-00N-4E5

Abstract (EN): This paper describes a damage identification methodology based on a genetic algorithm and its application to the numerical model of a railway bridge. The identification method is based on an iterative process that in each iteration compares the values of the bridge¿s dynamic responses for a test damage scenario with the response values for a reference damage scenario. The introduction of damage in the test numerical model is based on the modification of preselected numerical parameters values. The genetic algorithm allows the identification of damage by minimizing the residue of an objective function constructed from the responses of the test and reference model, and based on damage indicators. In this study are defined and tested damage indicators based on the deck accelerations of the bridge under action of Alfa Pendular train defined as a set of moving loads. The proposed methodology for identifying damage was tested based on a two-dimensional numerical finite element model of a railway bridge including railway track. The results allowed evaluating the efficiency and reliability of the methodology and of the damage indicators which, in most situations, showed potential in the detection, location and quantification of the severity of the damage. © 2016 Taylor & Francis Group, London.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 1