Reduced Order Modeling for modular anisotropic Structures based on Proper Orthogonal Decomposition and Mesh Tying

S. Ritzert, D. Macek, J. Simon, S. Reese
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Abstract

. A model order reduction technique in combination with mesh tying is used to efficiently sim-ulate a large number of different structures that are assembled from a set of substructures. The stiffness matrices of the substructures are computed separately and assembled into a global stiffness matrix with tied contact formulation. The computational time can be further decreased by reducing the degrees of freedom of each substructure with a projection-based model order reduction technique. The precomputations to obtain the mode matrices are computationally cheap because they can be carried out on each substructure separately. For the development and optimization of new construction strategies for fiber reinforced concrete, a large number of different combinations of the modules have to be tested. The nonlinear anisotropic material behavior, like the primary directions of orthotropic materials, leads to parameter-dependent mode matrices. The precomputations can only be done for a relatively small number of parameters. For all other parameters, the mode matrices have to be adapted with interpolation methods to obtain an accurate solution .
基于适当正交分解和网格捆绑的模块化各向异性结构降阶建模
. 将模型降阶技术与网格捆绑相结合,有效地模拟了由一组子结构组合而成的大量不同结构。子结构的刚度矩阵分别计算,并组合成一个整体的刚度矩阵。利用基于投影的模型降阶技术降低子结构的自由度,进一步减少了计算时间。获得模态矩阵的预计算可以在每个子结构上单独进行,因此计算成本很低。为了开发和优化纤维增强混凝土的新施工策略,必须对大量不同的模块组合进行测试。材料的非线性各向异性行为,如正交异性材料的主方向,导致参数依赖模式矩阵。预计算只能对相对较少的参数进行。对于所有其他参数,必须采用插值方法调整模态矩阵以获得精确的解。
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