Structural damage detection based on the Cuckoo Algorithm under incomplete modal data
In this paper,a novel and effective damage diagnosis algorithm is proposed to localize and quantify structural damage using incomplete modal data,considering the existence of some limitations in the number of attached sensors on structures.Firstly,an Improved Reduction System(IRS)method is adopted to match the degree of freedom differences between the finite element model and the actual measurements,thereby solving the problem of modal space incomplete-ness.Then,the structural flexibility matrix obtained from the incomplete modal data is used to calculate the static dis-placement of the structure.Finally,a damage optimization function is established using the static displacement of the structure and solved using the Cuckoo Algorithm.The effectiveness and robustness of the proposed method are verified through numerical simulation and experiments.The numerical and experimental results indicate that the proposed damage identification method still has exhibits efficient and stable performance even with a limited number of measurement sen-sors.
万方数据
维普
