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Computationally efficient reduction of modal data from finite element models by nested sets of B-splines

机译:通过B样条的嵌套集以有效方式简化有限元模型中的模态数据

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摘要

This paper introduces a novel methodology for the reduction of modal data from complex finite element\ud(FE) models, resulting in a highly accurate and computationally efficient model termed B-SAFE (B-splinebased\udSemi-Analytical Finite Element model). It is conceptually similar to a method based on nested sets\udof polynomials proposed earlier by the authors (Poly-SAFE) but provides greater accuracy in the case of\udcomplex structures and greater ease of use, limiting the need for user interventions and facilitating automated\udprocessing. B-SAFE is constructed via the reduction of a standard displacement-based FE model\uddown to a semi-analytical function built from nested B-splines recursively fitted to modal data, which\udeliminates the need of high-order polynomials and heavy user-intervention required by Poly-SAFE for\udthe case of complex modal patterns. The present work describes the non-trivial modifications to the original\udmethodology, and shows how fewer and more efficient semi-analytical functions representing field\udvariables such as displacement, strain and stress can be obtained. The new method is exemplified\udthrough a numerical case study of a 9.2 m composite wind turbine blade, showing that improved numerical\udstability and robustness as well as a systematic handling of general geometries can be obtained without\uduser intervention.
机译:本文介绍了一种用于从复杂的有限元\ ud(FE)模型中减少模态数据的新颖方法,从而生成了一种称为B-SAFE(基于B样条的\ udSemi-Analytical有限元模型)的高精度且计算效率高的模型。从概念上讲,它类似于作者先前提出的基于嵌套集\ udof多项式的方法(Poly-SAFE),但是在\ udcomplex结构的情况下提供了更高的准确性,并且更易于使用,从而限制了用户干预的需要并促进了自动化\ udprocessing。 B-SAFE是通过将基于位移的标准有限元模型简化为使用嵌套B样条曲线递归拟合模态数据构建的半分析函数而构建的,这消除了对高阶多项式和繁重的用户需求的需要Poly-SAFE对于复杂模态模式的情况需要进行干预。本工作描述了对原始\ udmethodology的不平凡的修改,并显示了如何获得更少且更有效的表示现场\ udvaris如位移,应变和应力的半分析函数。通过对9.2 m复合材料风力涡轮机叶片进行的数值案例研究来举例说明该新方法,结果表明,无需\ uduser干预即可获得改进的数值\稳定性和鲁棒性以及对常规几何形状的系统处理。

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