A Crack Identification Method For Beam Type Structures Subject To Moving Vehicle Using Particle Swarm Optimization
Year: 2013
Type: article
Abstract: In this work a crack identification method for beam type structures under moving vehicle is proposed. The basic of the method is to formulate damage detection as an inverse problem, and solve for damage locations and extents. To this end, an objective function is defined based on the difference of damaged beam dynamic response and the response calculated by the mathematical model of the beam. The optimization problem is solved through a popular evolutionary algorithm, i.e. the particle swarm optimization (PSO) with constriction factor, to obtain crack locations and depths. From the numerical simulations it was observed that cracks with depth ratio of 0.1 can be identified with reasonable error by the present method in spite of noise interference and distortive effect of road surface roughness. Key Words: Cracked beam, damage detection, particle swarm optimization, moving vehicle
Author: Hakan Gökdağ
Institution: Bursa Technical University
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1487465408