基于非线性BT-POD模型约简的有限元模型几何参数快速扫描

Wei Wang, M. Vouvakis
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引用次数: 3

摘要

提出了一种用于几何特征参数快速扫描的有限元模型降阶方法。该方法首先将几何变化对非线性有限元矩阵的依赖线性化,然后使用均匀采样平衡截断适当正交分解(BT-POD)约简算法方便地扫描参数几何空间。该方法通过使用网格变形方法避免了缓慢的重网格和全矩阵重组。此外,已知BT-POD仅使用少量样本就能提供接近最优的缩小尺寸问题,从而最大限度地减少了全模型解决方案的数量。通过两个大型滤波器设计算例,验证了该方法的精度和效率。
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Fast geometric parameter sweep of FEM models via a nonlinear BT-POD model reduction
A finite element method (FEM) model-order reduction (MOR) methodology for the fast parametric sweep of geometrical features is presented. The proposed method first linearizes the otherwise non-linear FEM matrix dependence with respect to the geometry variation, and then uses a uniformly sampled balanced truncation proper orthogonal decomposition (BT-POD) reduction algorithm to expediently sweep over the parametric geometry space. The approach avoids slow re-meshing and full matrix reassembly by using mesh morphing approaches. Moreover, BT-POD is known to provide close to optimal size reduced problems using only a small number of samples, thus minimizing the the number of full-model solutions. Numerical results on two large-scale filter design examples are used to study the accuracy and efficiency of the proposed method.
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