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A new method for finite element model updating in structural dynamics

机译：结构动力学有限元模型更新的新方法

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摘要

A method is propounded in this paper to update finite element models in the field of structural dynamics. It is especially intended to solve cases for which other methods either cannot be applied or are inefficient. It is posed as the minimization of an error function defined in the time domain. The minimization is carried out by a novel adaptive sampling algorithm, which constitutes the main contribution in this work. In this algorithm, the solution is searched by sampling the parameters to be updated within a bounded space in an iterative form. The Beta distribution, which is consistent with the bounded character of the search space, is chosen for the sampling. The characteristics of the distributions are changed in each step of the process depending on the results of the previous ones. The method has been tested through a simulated dynamic model and an experimental case. In these particular cases, the performance of the proposed adaptive algorithm was better than those of other related stochastic algorithms it was compared with.
机译：本文提出了一种在结构动力学领域中更新有限元模型的方法。它特别旨在解决无法应用其他方法或效率低下的情况。它表示为时域中定义的误差函数的最小化。最小化是通过一种新颖的自适应采样算法来完成的，这是这项工作的主要贡献。在该算法中，通过以迭代形式对有界空间内要更新的参数进行采样来搜索解决方案。选择与搜索空间的有界特征一致的Beta分布进行采样。分布的特征在该过程的每个步骤中都根据先前结果的不同而改变。该方法已通过模拟的动态模型和实验案例进行了测试。在这些特殊情况下，所提出的自适应算法的性能优于与之相比的其他相关随机算法。

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