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Inhomogeneous Wave Correlation for Propagation Parameters Identification in Presence of Uncertainties

机译:在存在不确定因素存在下传播参数识别的不均匀波相关性

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In order to achieve more realistic structural parameter identification, it is inevitable to account for uncertainties. The present paper proposes a stochastic identification process to identify propagation parameters such as the wavenumber, the damping loss factor, and the wave attenuation, in presence of uncertainties. The proposed stochastic identification process combines, in a wave propagation framework, the Inhomogeneous Wave Correlation method with the Latin Hypercube Sampling method. It is compared to the identification process combining the Mc Daniel method and the Latin Hypercube Sampling method which are considered as reference for structural identification and uncertainty propagation, respectively. An isotropic beam example is considered and identification is done from Frequency Response Functions computed at several measurement points which coordinates are supposed to be the uncertain parameters. The effects of uncertainties on parameter identification are evaluated through statistical quantifications of the variability of the identified parameters. Obtained results show that all identified parameters are affected by uncertainties, except damping.
机译:为了实现更现实的结构参数识别,它是不可避免的,以解释不确定性。本文提出了随机识别过程,以识别不确定因素存在诸如波数,阻尼损耗因子和波浪衰减的传播参数。所提出的随机识别过程在波传播框架中结合了具有拉丁超立体采样方法的非均匀波相关方法。将其与组合MC Daniel方法的识别过程和拉丁超立体采样方法进行比较,其被认为是结构识别和不确定传播的参考。考虑各向同性光束示例,并且从频率响应函数在若干测量点计算的频率响应函数进行识别,该测量点应该是不确定的参数。通过统计量化的鉴定参数的可变性来评估不确定性对参数识别的影响。获得的结果表明,除阻尼外,所有已识别的参数都受到不确定性的影响。

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