Structural Damage Identification Based on Cuckoo Search Algorithm

XU Haojie; LIU Jike; Lv Zhongrong

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Structural Damage Identification Based on Cuckoo Search Algorithm

更新时间：2023-12-11

- Structural Damage Identification Based on Cuckoo Search Algorithm
- Acta Scientiarum Naturalium Universitatis SunYatseni Vol. 54, Issue 4, Pages: 19-22(2015)
- 作者机构：
  
  中山大学力学系,广东,广州,510275
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015，
  
  Published Online：25 August 2015，
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XU Haojie, LIU Jike, Lv Zhongrong. Structural Damage Identification Based on Cuckoo Search Algorithm. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 54(4):19-22(2015)
DOI：

XU Haojie, LIU Jike, Lv Zhongrong. Structural Damage Identification Based on Cuckoo Search Algorithm. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 54(4):19-22(2015) DOI：

摘要

布谷鸟算法作为一种模拟布谷鸟寻窝产卵行为提出的优化算法，通过各布谷鸟个体的局部寻优行为，最终在群体中突显全局最优解，具有较好的收敛速度和精度。基于频率残差和模态保证准则（MAC）构建损伤结构的目标函数，并运用布谷鸟算法对结构进行局部损伤的识别。双跨简支梁及桁架的数值模拟算例表明此方法能有效地检测出结构的局部损伤，对噪声不敏感，具有高效率、高精度等优点，有望应用于实际工程。

Abstract

Cuckoo search (CS) algorithm is an emerging approach to solve structural damage detection . By utilizing the modal assurance criteria(MAC)

the objective function of the certain structure is built. Then the CS algorithm is adopted to solve the certian objective function to achieve the damage location and extent of the system. A dual-span beam and a truss are uesd as numerical simulation cases to prove the validity of the CS algorithm. The simulation results show that the CS algorithm is efficient and accurate even under measurement noise.

关键词

损伤检测布谷鸟算法模态保证准则数值模拟

Keywords

damage detectionCuckoo search algorithmmodal assurance criterianumerical simulation

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Related Institution

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School of Sciences， Chang'an University

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