Development of a bridge damage detection approach using vehicle-bridge interaction analysis and soft computing methods
Year: 2012
Type: book-chapter
Abstract: In this study, a damage detection approach using traffic-induced vibration data of the bridge is developed, employing only direct analyses by means of introducing soft computing methods. Different from identifying the structural damages using inverse analyses, the possible damage patterns of the bridge are assumed according to theoretical and empirical considerations at first. Then, the running vehicle-induced dynamic responses of the bridge under a certain damage pattern are calculated employing a developed vehicle-bridge interaction analysis procedure. When the calculated response is identical to the recorded one, this damage pattern will be the solution. However, owing to the large number of damage patterns, it is difficult to identify the exact solution. Therefore in this approach, the optimization method of Genetic Algorithm is applied to identify the damage pattern. The feasibility investigation of the proposed approach is investigated using numerical models in this paper. © 2012 Taylor & Francis Group.
DOI: 10.1201/b12352-50
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2480955538