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Diagnosing Crack of RC Structure Using Real-Coded Genetic Algorithm

机译:使用实际编码遗传算法诊断RC结构裂缝

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In this paper, based on vibration measurement and analysis of finite element method (FEM) for RC framed structure, Genetic Algorithm with real number encoding (GARNE) is employed in diagnosing crack damage occurrence, location, and severity for the RC framed structure by means of minimizing the objective function, which directly compares the changes in vibration data (namely, the frequency changes, the mode shape changes and simultaneous changes of both the frequency and the mode shape) measured from the un-cracked and cracked RC framed structure. The GARNE explores the region of the whole solution space and can obtain the global optimum. Numerical results show that the cracked elements can be diagnosed by the GARNE. The effectiveness of the GARNE for such crack damage diagnosis of the RC framed structures is verified through comparison with site measurement.
机译:本文基于RC帧结构的有限元方法(FEM)的振动测量和分析,采用实数编码(Garne)的遗传算法在诊断RC框架结构的裂缝损伤发生,位置和严重程度方面采用最小化目标函数,直接比较振动数据的变化(即频率变化,模式形状变化和同时变化的频率和模式形状的同时变化)测得来自未破裂和裂纹的RC框架结构。 Garne探讨了整个解决方案空间的区域,可以获得全球最佳。数值结果表明,裂缝元件可以由甘菊诊断。通过与现场测量进行比较,通过比较验证了Garne用于这种裂纹损伤诊断的抗损伤诊断。

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