基于帝国主义竞争算法的结构模态参数识别

Structural modal parameter identification based on imperialist competitive algorithm

结构模态参数(包括频率、振型和阻尼)识别,是结构健康监测与结构状态评估的核心内容。帝国主义竞争算法(ICA)作为一种新颖的智能算法,已成功应用于许多复杂的优化问题中。ICA识别结构模态参数的实质是通过最小化包括所要识别的模态参数的结构输出理论公式和结构现场输出之差,将结构模态参数识别问题转化成优化问题。最后采用一个三层框架和一个简支梁数值模型对该方法进行验证。结果表明,帝国主义竞争算法可以有效识别结构模态参数,且识别精度较高。

Structural modal parameters identification （including the identification of structural modal shape, frequency and damping ratio） is the key point in the structural health monitoring and structural condition assessment. Imperialist Competitive Algorithm （ICA）, as a novel intelligent algorithm, has been successfully applied in many complex optimization issues. The essence of structural modal parameter identification by ICA is to transform the structural modal parameter identification into optimization through minimizing the error between theoretical equation of structural outputs （including structural modal parameters to be identified） and structural output data. Finally, a numerical model of three-story frame is adopted to verify the efficiency of the method herein. The results show that ICA can effectively identify structural modal parameters with high accuracy.