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Improved singular boundary method for elasticity problems

Authors: Yan Gu; Wen Chen; Xiaoqiao He;

Improved singular boundary method for elasticity problems

Abstract

This paper presents a simple approach to evaluate origin intensity factors of the singular boundary method (SBM), a recent strong-form boundary discretization numerical technique. The SBM overcomes the perplexing 'fictitious boundary issue' associated with the method of fundamental solutions (MFS) and in it the source points and collocation points coincide on the real physical boundary. By analogy with the boundary element method (BEM), we develop a desingularization strategy for the direct computation of singular kernels in the SBM, without losing the merits of being truly meshless, integration-free, and easy-to-implement. In addition, an efficient non-linear co-ordinate transformation is employed to tackle the near singularities of the kernel functions, when the calculation point is close to, but not on, the boundary. It is shown that the proposed SBM fully inherits the merits of the BEM and MFS. The advantages, disadvantages and potential applications of the proposed method, as compared with the MFS and the BEM, are also examined and discussed in detail.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
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