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A COMPARISON OF STRUCTURAL DYNAMIC MODIFICATION AND SENSITIVITY METHOD APPROXIMATION

机译:结构动态修改与灵敏度方法近似的比较

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Model correlation and damage detection using finite-element physical parameter adjustments have received considerable attention in recent years. When dealing with complex and large-sized models, some form of approximate reanalysis is typically performed. In this work, the performance of structural dynamic modification (SDM) and sensitivity method approximations is assessed with respect to approximation accuracy. For a linear conservative model with no mass perturbation, it will be shown numerically and analytically that SDM produces the same natural frequency estimates as the sensitivity method. In addition, it will be demonstrated that SDM approximations for natural frequencies are superior to that estimated using sensitivity method. However, sensitivity method estimates of mode shapes are superior to the SDM estimates. Finally, an iterative SDM method has been proposed based on the subspace iteration eigensolver algorithm, which drastically improves the mode shape estimates over few iterations.
机译:使用有限元物理参数调整的模型相关性和损坏检测近年来接受了相当大的关注。在处理复杂和大型模型时,通常进行某种形式的近似重新分析。在这项工作中,通过近似精度评估结构动态修改(SDM)和灵敏度方法近似的性能。对于没有质量扰动的线性保守模型,将在数值和分析上示出,SDM产生与灵敏度方法相同的固有频率估计。另外,将证明自然频率的SDM近似优于使用灵敏度方法估计。然而,模式形状的敏感性方法估计优于SDM估计。最后,已经基于子空间迭代Eigensolver算法提出了一种迭代SDM方法,其大大改善了几个迭代的模式形状估计。

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