用边界元法计算静电力

P. Panchal, R. Hiptmair
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引用次数: 1

摘要

. 边界元法是求解静电势线性边值问题的一种成熟的方法。在这种情况下,我们提出了一种新的方法来近似静电场对导电物体施加的力。与使用麦克斯韦应力张量衍生的曲面积分的标准后处理技术一样,新方法仅依赖于曲面积分,但与前者相比,具有更好的精度和更快的收敛速度。根据虚功原理的精神,结合形状优化的伴随方法,将力场解释为形状导数,得到了新的公式。与标准公式相比,它们满足抽象对偶参数的连续性和平滑性要求,这为它们观察到的优越性能提供了严格的基础。2020数学学科分类。65n38, 78m15, 45a05。摘要边界元法是求解静电势定界值问题的一种行之有效的方法。在这种情况下,我们提出了一种新的方法来估计电场对导电物体施加的力。与使用麦克斯韦应力张量衍生的曲面积分的标准后处理技术一样,新方法仅依赖于曲面积分,但与前者相比,它具有更好的精度和更快的收敛速度。根据虚功原理的精神,结合形状优化的伴随量,将力场解释为形状导数,得到了新的公式
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrostatic Force Computation with Boundary Element Methods
. Boundary element methods are a well-established technique for solving linear boundary value problems for electrostatic potentials. In this context we present a novel way to approximate the forces exerted by electrostatic fields on conducting objects. Like the standard post-processing technique employing surface integrals derived from the Maxwell stress tensor the new approach solely relies on surface integrals, but, compared to the former, offers better accuracy and faster convergence. The new formulas arise from the interpretation of forces fields as shape derivatives, in the spirit of the virtual work principle, combined with the adjoint approach from shape optimization. In contrast to standard formulas, they meet the continuity and smoothing requirements of abstract duality arguments, which supply a rigorous underpinning for their observed superior performance. 2020 Mathematics Subject Classification. 65N38, 78M15, 45A05. Abstract. Boundary element methods are a well-established technique for solving bound- ary value problems for electrostatic potentials. In this context we present a novel way to ap- proximate the forces exerted by fi elds on conducting objects. Like the standard post-processing technique employing surface integrals derived from the Maxwell stress tensor the new approach solely relies on surface integrals, but, compared to the former, o ff ers better accuracy and faster convergence. The new formulas arise from the interpretation of forces fi elds as shape derivatives, in the spirit of the virtual work principle, combined with the adjoint from shape optimiza-
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