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Physical Condition Monitoring of an Angle Section Thin-Walled Curved Beam Based on Non-destructive Assessment

机译:基于非破坏性评估的角截面薄壁弯曲梁的物理状况监测

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This paper presents an integrated approach to monitor the physical condition of an angle section curved beam based on the estimation of the crack parameters, namely amount of the damage intensity and location. This approach of identification is established by integrating the response surface methodology (RSM) and genetic algorithm (GA). Numerical finite element (FE) model of the cracked beam has been connected to the present approach to carry out trial experiments to generate response surface functions (RSFs) for free, forced, and heterogeneous dynamic response data. Thereafter, the errors between the computed response surface functions and measured dynamic response data have been minimized using GA to obtain the crack parameters. The varying location and damage intensity of a single crack has been considered in the present study. The present approach has been found to reveal excellent accuracy in guessing of crack parameters and shows great potential in the crack identification, as it requires only the current response data of the cracked beam.
机译:本文提出了一种基于抗裂参数的估计,即损伤强度和位置的量来监测角度截面弯曲光束的物理状况的综合方法。通过集成响应表面方法(RSM)和遗传算法(GA)来建立这种识别方法。裂纹光束的数值有限元模型已经连接到本方法来执行试验实验,以获得自由,强制和异构动态响应数据产生响应面功能(RSF)。此后,使用GA最小化计算的响应曲面功能和测量的动态响应数据之间的误差以获得裂缝参数。在本研究中考虑了单个裂缝的变化位置和损伤强度。已经发现本方法揭示了猜测裂缝参数的优异精度,并且在裂缝识别中显示出很大的潜力,因为它只需要裂纹梁的电流响应数据。

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