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Boundary condition identification using spatial discrete differentiation with annihilators

机译:使用空间离散分化与湮灭器的边界条件识别

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This contribution talks about the problem of the estimation of boundary conditions in beam structures. Boundary stiffness has an important role in the dynamic behavior of the structure. In various fields as modal active control, in case of a time-varying boundary, it is necessary to estimate this stiffness to update the controller model in order to guaranty its stability. In practice, this kind of identification problems can be understood as a determination of various spatial derivatives of transverse displacements. These quantities are difficult to estimate at boundaries mainly due to their high sensitivity to noise. The proposed method uses the assumption that displacements can be approximated by Taylor expansions on a domain near its boundaries. Then, spatial derivatives are estimated using particular pointwise derivatives estimators with annihilators. Annihilators are linear differential operators tuned to cancel undesired derivatives. Consequently, this approach enables the extraction of these quantities using a weighted spatial integration of the displacement field. Numerical simulations using exact and noisy data are shown in order to illustrate the main advantages of the proposed method.
机译:该贡献涉及梁结构中边界条件估计的问题。边界刚度在结构的动态行为中具有重要作用。在各种领域作为模态主动控制,在时变边界的情况下,需要估计该刚度以更新控制器模型以保证其稳定性。在实践中,这种识别问题可以被理解为确定横向位移的各种空间衍生物的确定。这些数量难以在边界估计主要是由于它们对噪音的高敏感性。所提出的方法使用假设使位移可以通过泰勒扩展对其边界附近的域上的泰勒扩展来近似。然后,使用特定点衍生物估计与湮灭者使用特定点衍生物估计来估计空间衍生物。 AnniHilator是线性差分运算符,以取消不期望的衍生物。因此,这种方法能够使用位移场的加权空间集成来提取这些数量。示出了使用精确和嘈杂数据的数值模拟,以说明所提出的方法的主要优点。

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