A sinh transformation for evaluating nearly singular boundary element integrals

被引:113
|
作者
Johnston, PR
Elliott, D
机构
[1] Griffith Univ, Sch Sci, Nathan, Qld 4111, Australia
[2] Univ Tasmania, Sch Math & Phys, Hobart, Tas 7001, Australia
关键词
non-linear co-ordinate transformation; boundary element method; nearly singular integrals; numerical integration; sinh function;
D O I
10.1002/nme.1208
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An implementation of the boundary element method requires the accurate evaluation of many integrals. When the source point is far from the boundary element under consideration, a straightforward application of Gaussian quadrature suffices to evaluate such integrals. When the source point is on the element, the integrand becomes singular and accurate evaluation can be obtained using the same Gaussian points transformed under a polynomial transformation which has zero Jacobian at the singular point. A class of integrals which lies between these two extremes is that of 'nearly singular' integrals. Here, the source point is close to, but not on, the element and the integrand remains finite at all points. However, instead of remaining flat, the integrand develops a sharp peak as the source point moves closer to the element, thus rendering accurate evaluation of the integral difficult. This paper presents a transformation, based on the sinh function, which automatically takes into account the position of the projection of the source point onto the element, which we call the 'nearly singular point', and the distance from the source point to the element. The transformation again clusters the points towards the nearly singular point, but does not have a zero Jacobian. Implementation of the transformation is straightforward and could easily be included in existing boundary element method software. It is shown that, for the two-dimensional boundary element method, several orders of magnitude improvement in relative error can be obtained using this transformation compared to a conventional implementation of Gaussian quadrature. Asymptotic estimates for the truncation errors are also quoted. Copyright (C) 2004 John Wiley Sons, Ltd.
引用
收藏
页码:564 / 578
页数:15
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