2021
DOI: 10.1016/j.compstruc.2021.106619
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An efficient localized Trefftz-based collocation scheme for heat conduction analysis in two kinds of heterogeneous materials under temperature loading

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Cited by 44 publications
(6 citation statements)
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“…In addition, the present STRTCM scheme cannot handle the problems with heterogeneous materials because it is a nontrivial task to derive the corresponding semi-analytical basis solutions. For this, combining with the localized collocation scheme [43] and the extended multiple reciprocity method-generalized reciprocity method [44]-may be a good way. These topics are under study and will be reported in a subsequent paper.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the present STRTCM scheme cannot handle the problems with heterogeneous materials because it is a nontrivial task to derive the corresponding semi-analytical basis solutions. For this, combining with the localized collocation scheme [43] and the extended multiple reciprocity method-generalized reciprocity method [44]-may be a good way. These topics are under study and will be reported in a subsequent paper.…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, the two approaches have distinct advantages. Meshless Collation Methods are suitable for large-scale computation with high computational efficiency [28][29][30]. On the other hand, spectral Collocation Methods with outstanding error properties potentially involve Fourier Series expansions [31].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Liu and Fan et al [36] developed the localized Trefftz method and applied it to numerical solutions of Laplace equation and biharmonic equation. Xi and Fu et al [37] presented a localized collocation Trefftz method for heat conduction analysis in two kinds of heterogeneous materials (functionally graded materials and multi-medium materials) under temperature loading. Wang et al proposed a localized SBM and a localized Chebyshev collocation method [38,39].…”
Section: Introductionmentioning
confidence: 99%