一种基于柔性的子结构和关节特性逆识别算法

K. Park, C. Felippa
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引用次数: 3

摘要

提出了一种结构节点特性识别的反问题方法。基础理论采用子结构柔性方法,允许关节和界面的统计不确定性。该方法将结构划分为连续区和局部节理/界面子结构区。前者采用连续体有限元建模,并采用标准直接刚度法建立。关节和界面区域由连续体和/或特殊元素构成。该方法的新颖之处在于,子结构的耦合是根据节点配位的拉格朗日乘子来实现的,这自然导致了边界柔性公式。通过相互作用力进行的耦合解决了在整个结构模型中微妙的局部效应没有被掩盖的问题。这种高灵敏度对于通过分层“剥离”过程间接推导出局部性质和不确定性的逆问题具有重要意义。将该方法应用于发动机悬置模型的关节柔性辨识,验证了该方法的主要特点及其高保真能力。
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A Flexibility-Based Inverse Algorithm for Identification of Substructural and Joint Properties
This paper presents an inverse problem methodology for the identification of structural joint characteristics. The underlying theory employs a substructural flexibility method that allows statistical uncertainties in joints and interfaces. The method partitions structures into continuum and localized joint/interface substructural regions. The former are modeled by continuum finite elements and built up with the standard direct-stiffness method. Joint and interface regions are constructed from continuum and/or special elements. The novel aspect of the method is that the coupling of substructures is effected in terms of node-collocated Lagrange multipliers, which leads naturally to a boundary-flexibility formulation. Coupling through interaction forces addresses the concern that delicate localized effects are not masked out in the overall structural model. This heightened sensitivity is significant for inverse problems in which localized properties and uncertainties are deduced indirectly, through a hierarchical “peeling off” process. The method is applied to identify joint flexibilities in a model engine mount, which demonstrates key features of the method and its high-fidelity capability.
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