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arXiv 1809.03377math.NAcs.NA
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等几何模拟与形状优化在电气机中的应用

Isogeometric Simulation and Shape Optimization with Applications to Electrical Machines

TU Graz(格拉茨工业大学);JKU Linz(林茨约翰内斯开普勒大学);RICAM, Austrian Academy of Sciences(奥地利科学院计算与应用数学研究所)

Peter Gangl, Ulrich Langer, Angelos Mantzaflaris, Rainer Schneckenleitner

AI总结:

本文研究了利用多补丁等几何分析(IgA)进行电气机的模拟与形状优化,采用非重叠域分解方法提高计算效率,实现并行求解。

摘要:

未来电动化需求高效电气机。为不同运行领域,这些机器需满足某些期望属性,这往往依赖于其设计。本文研究了利用多补丁等几何分析(IgA)进行电气机的模拟与形状优化。为获得快速模拟和优化结果,我们使用非重叠域分解(DD)方法来求解由IgA离散化所产生的大规模代数方程组。DD自然与计算域的多补丁表示相关,并为DD求解器的并行化提供了框架。

英文摘要:

Future e-mobility calls for efficient electrical machines. For different areas of operation, these machines have to satisfy certain desired properties that often depend on their design. Here we investigate the use of multipatch Isogeometric Analysis (IgA) for the simulation and shape optimization of the electrical machines. In order to get fast simulation and optimization results, we use non-overlapping domain decomposition (DD) methods to solve the large systems of algebraic equations arising from the IgA discretization of underlying partial differential equations. The DD is naturally related to the multipatch representation of the computational domain, and provides the framework for the parallelization of the DD solvers.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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