Comparative studies on Structural Damage Detection using different kinds of Objective Functions based on Modal Data

In order to investigate the ability of different objective functions based on modal data for SDD problems, six objective functions are defined and a comparison study is presented in this paper. To make a fair comparison, a quantified index name damage vector consistency is defined to describe the consistency between the identified damage vector factor and the assume one. Simply-supported beam with 10 finite elements is simulated which provides modal data generation and damage cases simulation. The percentage of DVC equaling to 100% in the all 100 times is also calculated which shows the objective function based on MTMAC is the best one for SDD.