An Improved Genetic Algorithm for Structural Damage Detection
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چکیده
An improved genetic algorithm (IGA) is proposed to identify the structural damage under noised vibration data in this paper. It has two functions. One is model updating by direct comparison of changes between initial analytical data and undamaged experimental data, the other damage identification by direct comparison of the changes between updated analytical data and damaged experimental data. A conventional cantilever beam model is adopted to evaluate the efficiency and robustness of the proposed technique when a single and multiple damage cases are set up for the beam respectively.
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تاریخ انتشار 2005