Title of article :
Damage identification of truss structures using CBO and ECBO algorithms
Author/Authors :
kaveh, a. centre of excellence for fundamental studies in structural engineering,school of civil engineering,iran university of science and technology,narmak,tehran, ايران , mahdavi, v.r. centre of excellence for fundamental studies in structural engineering,school of civil engineering,iran university of science and technology,narmak,tehran, ايران
Abstract :
In the method of identification of structural damage utilized in the structural health monitoring problems,a search is carried out to find the location and damage severity of structural members by checking every possible value of these damage severities. Recently,researchers have been solved this problem using optimization algorithms. This paper examines the application of recently developed optimization algorithms,so-called Colliding Bodies Optimization (CBO) and Enhanced Colliding Bodies Optimization (ECBO),in conjunction with structural modal information for damage detection of steel trusses. The performance of the presented technique has been is verified through three numerical examples. Comparative studies illustrate the superiority the ECBO algorithm compared to the standard CBO algorithm.
Keywords :
Colliding bodies optimization , Damage detection , Natural frequency , Optimization algorithms
Journal title :
Asian Journal of Civil Engineering (Building and Housing)
Journal title :
Asian Journal of Civil Engineering (Building and Housing)
