Selection of sensitive features for damage identification in a railway bridge

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

Authors

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

Conference proceedings International

Title: Civil-Comp Proceedings

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00K-EJM

Abstract (EN): This paper aims selects sensitive features for damage identification in a railway bridge. For this purpose, a damage identification methodology based on a genetic algorithm and its application to the numerical model of a railway bridge is proposed. The identification method is based on an iterative process that in each iteration compares the values of the dynamic responses of a bridge 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 damage indicators, based on the deck accelerations of the bridge subject to the action of the Alfa Pendular train defined as a set of moving loads, are defined and tested. The proposed methodology for identifying damage has been tested using a two-dimensional numerical finite element model of a railway bridge including the railway track. The results enabled the evaluation of the efficiency and reliability of the methodology and of the damage indicators which, in most situations, showed potential for the detection, location and quantification of the severity of the damage. © Civil-Comp Press, 2016.

Language: English

Type (Professor's evaluation): Scientific