基于残余力向量法和树种算法的结构损伤识别二步法

Structural damage identification based on residual vectors and Tree-seed algorithm

基于二步法对结构进行了损伤识别。首先,通过改进残余力向量定位方法对结构单元进行排查、找出疑似单元;然后基于频域参数建立目标函数,并利用元启发式树种算法(Tree-seed algorithm)对于结构损伤进行反演。为了改善算法的优化能力,引入了两种局部搜索模式,并采用具有自适应性的判断参数来判定使用何种模式进行局部开发。最后,采用梁和悬臂板作为算例进行损伤识别,并得到了识别结果。结果表明:在仅知道有限频域参数的情况下,提出的算法能够有效地识别损伤参数,优于其他进化算法并且对测量噪声不敏感。

A two-step method is proposed to solve structural damage identification problem.First,the improved residual vector is used to locate the general damage range,and then used Tree-seed algorithm （TSA） is used to identify damage extents based on objective function related to damage structures.TSA is a heuristic algorithm with simple structure and easy to implement.In order to make it more powerful,two kinds of search modes and a self-adaptive judge factor are utilized to realize algorithms search.A beam and a plate are employed as numerical simulations.Studies show that the present techniques can produce more accurate damage identification results,comparing with other algorithms,even with a little noise contaminated measurements.