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Local damage identification method using finite element model updating based on a new wavelet damage function

机译:基于新的小波损伤函数的有限元模型更新局部损伤识别方法

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摘要

As the number of unknown parameters in a finite element model updating problem increases, the challenges in finding reliable and meaningful updating result surges. Although traditional damage functions have illustrated an excellent ability in reducing unknown parameters, they are imprecise for identifying local damages. To solve this problem, a new type of damage function termed the wavelet damage function, which specializes in local damage identification, is proposed in this article. It utilizes the properties of the Haar wavelet and wavelet multi-resolution analysis. During the wavelet damage function-based finite element model updating procedure, unknown parameters in finite element models are not directly adjusted. Instead, wavelet coefficients of the parameters are estimated stepwise and then the final updating results are reconstructed through the inverse discrete wavelet transform. Numerical simulations and experimental verifications are conducted, and the corresponding results show that wavelet damage function can offer better accuracy as well as higher computational efficiency in the identification of local damages than the traditional damage functions.
机译:随着有限元模型更新问题中未知参数的数量增加,寻找可靠且有意义的更新结果带来的挑战激增。尽管传统的损坏函数显示出在减少未知参数方面的出色能力,但它们对于识别局部损坏并不精确。为了解决这个问题,本文提出了一种新的损伤函数,称为小波损伤函数,专门研究局部损伤识别。它利用了Haar小波和小波多分辨率分析的特性。在基于小波损伤函数的有限元模型更新过程中,不会直接调整有限元模型中的未知参数。取而代之的是,逐步估计参数的小波系数,然后通过逆离散小波变换重建最终更新结果。进行了数值模拟和实验验证,结果表明,与传统损伤函数相比,小波损伤函数在识别局部损伤方面可以提供更好的精度和更高的计算效率。

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