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Adaptive Singularity Cancellation for Efficient Treatment of Near-Singular and Near-Hypersingular Integrals in Surface Integral Equation Formulations

机译:自适应奇异性抵消可有效处理表面积分方程式中的近奇和近奇异积分

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摘要

A recently proposed singularity cancellation technique for fully numerical evaluation of method of moments integrals in surface integral equation solutions produces reasonably accurate results with few quadrature points for singular and hypersingular integrals. However, for near-singular and near-hypersingular integrals, time-consuming computations need to be repeatedly performed over unnecessary regions outside the actual integration domain. For a more efficient treatment of these integrals, an adaptive singularity cancellation technique is proposed. As such, the source triangular domain is subdivided in a way that all sample points remain inside the desired integration domain and unnecessary computations are avoided. Second the accuracy of results in existing singularity cancellation transformations is greatly affected by variations in height of observation point above the plane of source domain. This drawback has been removed in the adaptive singularity cancellation transformations. Additionally, an optimum selection criterion for the distribution of quadrature samples is presented. The criterion enables run-time selection of optimum number of samples in different directions by consideration of the instantaneous geometry of the transformed integration domain.
机译:最近提出的奇异抵消技术,用于对表面积分方程解中的矩积分方法进行全数值评估,从而产生了相当准确的结果,对于奇异和超奇异积分,正交点很少。但是,对于近似奇异和近似超奇异积分,需要在实际积分域之外的不必要区域上重复执行耗时的计算。为了更有效地处理这些积分,提出了一种自适应奇异性消除技术。这样,以所有样本点都保留在所需积分域内的方式细分了源三角域,并避免了不必要的计算。其次,现有奇点对消变换中结果的准确性受源域平面上方观测点高度的变化影响很大。在自适应奇异性消除转换中已消除了此缺点。此外,提出了正交样本分布的最佳选择准则。该标准通过考虑转换后的积分域的瞬时几何形状,可以在不同方向上选择最佳数量的样本进行运行时选择。

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