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首页> 外文期刊>Journal of the Chinese Society of Mechanical Engineers, Series C: Transactions of the Chinese Society of Mechanical Engineers >Comparative Study of Model Updating Methods by Considering Two Different Convergence Criteria for Iteration Procedure
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Comparative Study of Model Updating Methods by Considering Two Different Convergence Criteria for Iteration Procedure

机译：考虑迭代过程两个不同收敛准则的模型更新方法的比较研究

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摘要

Numerous Finite Element (FE) model updating methods have been developed to improve analytical FE models that use the limited measurement coordinates of experimental models. For many decades, sensitivity-based iterative methods have been extensively used for FE model updating. However, most of the previous discussions on damage detection have described the effectiveness of model updating algorithms. There is a notable absence of attention to comparing different convergence stop criteria applied to specific model updating algorithms. In this paper, we focus on presenting and comparing the performance of sensitivity-based iterative model updating procedures that use two different convergence stop criteria (the Frobenius Norm and Correlation Coefficients). The results of this study may attract attention to the role of different convergence stop criteria implemented in the same iterative model updating algorithm. A sensitivity-based FE model updating procedure that uses incomplete coordinate measurements with and without simulated noise was applied to a rigid plane frame analyzed by consistent mass. The findings indicate that regardless of whether the measurements are polluted by noise, the relative natural frequencies change and modal assurance criterion MAC values significantly improve after a model updating procedure that uses the two convergence stop criteria. However, when the measurements are polluted by noise, the majority of FEM modification factors in 26 frame sub-elements are updated less accurately than those without noise. Noise continues to have a negative influence on the model updating accuracy of both convergence stop criteria.
机译：已经开发了许多有限元（FE）模型更新方法，以改进使用有限的实验模型测量坐标的分析FE模型。数十年来，基于灵敏度的迭代方法已广泛用于有限元模型更新。但是，先前有关损坏检测的大多数讨论都描述了模型更新算法的有效性。对于比较应用于特定模型更新算法的不同收敛停止标准，显然没有引起注意。在本文中，我们重点介绍和比较基于敏感性的迭代模型更新过程的性能，该过程使用两个不同的收敛停止条件（Frobenius范数和相关系数）。这项研究的结果可能会引起人们对在同一迭代模型更新算法中实现的不同收敛停止准则的作用的关注。基于灵敏度的有限元模型更新程序，将不完整坐标测量（带有或不带有模拟噪声）应用于通过恒定质量分析的刚性平面框架。研究结果表明，无论测量结果是否被噪声污染，在使用两个收敛停止标准的模型更新程序之后，相对固有频率变化和模态保证标准MAC值都会显着提高。但是，当测量结果受到噪声污染时，与没有噪声的情况相比，更新26个帧子元素中的大多数FEM修改因子的准确性较低。噪声继续对两个收敛停止准则的模型更新精度产生负面影响。

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