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

ZHAO Yilin; LIU Jike; LYU Zhongrong; DING Zhenghao

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

更新时间：2023-12-11

- Structural damage identification based on residual vectors and Tree-seed algorithm
- Acta Scientiarum Naturalium Universitatis SunYatseni Vol. 56, Issue 4, Pages: 46-50(2017)
- 作者机构：
  
  中山大学工学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017，
  
  Published Online：25 September 2017，
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ZHAO Yilin, LIU Jike, LYU Zhongrong, et al. Structural damage identification based on residual vectors and Tree-seed algorithm. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 56(4):46-50(2017)
DOI：

ZHAO Yilin, LIU Jike, LYU Zhongrong, et al. Structural damage identification based on residual vectors and Tree-seed algorithm. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 56(4):46-50(2017) DOI：

摘要

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。

Abstract

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 algorithms 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.

关键词

树种算法残余力板梁结构频域参数

Keywords

TSAresidual vectorbeamplatefrequency domain.

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