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结构损伤识别中的生物地理学优化算法
引用本文:张家超,杨海霞. 结构损伤识别中的生物地理学优化算法[J]. 河海大学学报(自然科学版), 2018, 46(3): 234-239
作者姓名:张家超  杨海霞
作者单位:河海大学力学与材料学院
摘    要:为将生物地理学优化(BBO)算法有效应用于结构损伤识别中,结合余弦迁移模型、自适应迁入函数和精英机制对算法进行改进。以简支梁结构为例,进行不同损伤情况下的损伤位置和损伤程度的识别。算例计算结果表明,改进后的算法在结构损伤识别中具有计算简便、收敛速度快、识别精度高、稳定性好的特点,相比于BBO性能明显提升,能够在结构损伤识别问题中加以有效地应用。

关 键 词:生物地理学优化算法  结构损伤识别  简支梁  自适应迁入函数

Biogeography-based optimization algorithm forstructural damage detection
ZHANG Jiachao and YANG Haixi. Biogeography-based optimization algorithm forstructural damage detection[J]. Journal of Hohai University (Natural Sciences ), 2018, 46(3): 234-239
Authors:ZHANG Jiachao and YANG Haixi
Affiliation:College of Mechanics and Materials, Hohai University, Nanjing 210098, China and College of Mechanics and Materials, Hohai University, Nanjing 210098, China
Abstract:In order to apply the biogeography-based optimization ( BBO) algorithm to the structural damagedetection, the algorithm is improved with the cosine migration model, the adaptive immigration function and theelitist mechanism. With the example of a simply supported beam under different damage situations, BBO algorithmis applied to detect not only the damage position but also the damage degree. The result indicates that comparedwith previous BBO algorithm, the improved one has the advantage of easier calculation, faster convergence speed,higher identification precision, and better stability, thus it can be effectively applied to the structural damagedetection.
Keywords:biogeography-based optimization algorithm   structural damage detection   simply supported beam  adaptive immigration function
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