有限元模型的制备:后验力学准则的使用

R. Ferrandes, P. Marin, J. Léon, F. Giannini
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引用次数: 1

摘要

为了进行有限元分析,需要对几何模型进行简化。在有限元模型制备阶段,需要完成几项形状处理任务。一个合适的几何模型和一组合适的几何和机械操作员可以显著提高整个过程的效率。我们的方法基于参考几何模型的使用,该模型是组件的多面体表示。为了简化构件形状,我们使用了一些与力学假设相关的几何算子,以便所有构件形状的变化都考虑到与有限元模型相关的力学假设。由于在有限元求解过程之前的先验准则不能有效地量化形状简化对有限元模拟结果精度的影响,因此采用力学后验准则分析形状变化对模拟结果的影响,以调整简化过程。因此,我们对简化模型进行了第一次有限元计算,并使用结果来评估对模型起作用的形状简化的力学影响。如果某些细节被证明对力学行为有影响,则需要重新定义进行有限元分析的模型。因此,我们能够根据分析结果所需的精度来调整模型。在本文中,我们将描述执行这种组件自适应建模所需的所有过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preparation of Finite Element Models: The Use of an a Posteriori Mechanical Criterion
A geometrical model needs to be simplified to perform a FE (Finite Element) analysis. Several tasks of shape processing are required during the FE model preparation phase. An appropriate geometric model and a suitable set of geometric and mechanical operators may significantly improve the efficiency of the whole process. Our approach is based on the use of a reference geometric model that is the polyhedral representation of a component. To simplify the component shape, we utilize some geometric operators associated to mechanical hypotheses, so that all the component shape changes take into account the mechanical hypotheses related to the FE model. Since a priori criteria acting before the FEM solving process cannot efficiently quantify the influence of a shape simplification on the accuracy of FE simulation results, a mechanical a posteriori criterion has been implemented, which analyses the impact of shape changes on the simulation to tune the simplification process. Therefore, we perform a first FE computation on the simplified model and use the results to assess the mechanical influence of shape simplifications that have acted on the model. If some details prove to have influence on the mechanical behaviour, the model on which the FE analysis is performed needs to be redefined. Therefore, we are able to adapt the model according to a desired accuracy of the analysis results. In this article, we describe all the process that has to beset up to perform this adaptive modelling of components.
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