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Multiple damage detection and localization in beam-like and complex structures using co-ordinate modal assurance criterion combined with firefly and genetic algorithms

机译:使用坐标模态保证标准结合萤火虫和遗传算法,在梁状和复杂结构中进行多重损伤检测和定位

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摘要

Damage detection and localization in civil engineering constructions using dynamic analysis has become an important topic in recent years. This paper presents a methodology based on non-destructive detection, localization and quantification of multiple damages in simple and continuous beams, and a more complex structure, namely two-dimensional frame structure. The proposed methodology makes used of Firefly Algorithm and Genetic Algorithm as optimization tools and the Coordinate Modal Assurance Criterion as an objective function. The results show that the proposed combination of Coordinate Modal Assurance Criterion and Firefly Algorithm or Genetic Algorithm can be easily used to identify multiple local structural damages in complex structures. However, the convergence rate becomes slower for the case of multiple damages compared to the case of single damage. The effect of noise on the algorithm is further investigated. It is found that the proposed technique is able to detect the damage location and its severity with high accuracy in the presence of noise, although the convergence rate became slower than in the case when no noise is present. It is also found that the convergence rate of Firefly Algorithm is much faster than that of Genetic Algorithm.
机译:近年来,采用动态分析的土木工程施工中的损伤检测与定位已成为重要的课题。本文提出了一种基于无损检测,定位和量化简单连续光束中的多个损伤的方法,以及一种更为复杂的结构,即二维框架结构。所提出的方法以萤火虫算法和遗传算法为优化工具,以协调模态保证标准为目标函数。结果表明,所提出的协调模态保证准则与萤火虫算法或遗传算法的组合可以很容易地用于识别复杂结构中的多个局部结构损伤。但是,与单次损坏相比,多次损坏情况下的收敛速度变慢。进一步研究了噪声对算法的影响。已经发现,尽管收敛速度比没有噪声的情况慢,但是提出的技术能够在有噪声的情况下以高精度检测损伤位置及其严重性。还发现萤火虫算法的收敛速度比遗传算法快得多。

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