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Bayesian approaches for identification of the complex modulus of viscoelastic materials

机译:贝叶斯方法识别粘弹性材料的复数模量

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摘要

Frequency domain identification of the complex Young's modulus of a viscoelastic solid from wave propagation experiment data is considered in this paper. The conventional techniques use a non-parametric approach, where the estimate at a particular frequency is independent of the estimate at another frequency. Here we show that the estimation accuracy can be improved significantly by taking the continuity of the complex modulus into account. In particular, we propose Bayesian estimation approaches to impose the continuity property. The estimation algorithms are computationally efficient. The analytical claims are also substantiated in experimental studies.
机译:本文考虑了通过波传播实验数据对粘弹性固体的复杨氏模量进行频域识别。常规技术使用非参数方法,其中特定频率下的估计独立于另一频率下的估计。在这里我们表明,通过考虑复数模量的连续性,可以显着提高估计精度。特别是,我们提出了贝叶斯估计方法来施加连续性。估计算法在计算上是有效的。实验研究中也证实了分析要求。

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