2019
DOI: 10.1108/ec-02-2019-0057
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Accuracy analysis of different higher-order Laplacian models of incompressible SPH method

Abstract: Purpose This paper aims to examine the accuracy of several higher-order incompressible smoothed particle hydrodynamics (ISPH) Laplacian models and compared with the classic model (Shao and Lo, 2003). Design/methodology/approach The numerical errors in solving two-dimensional elliptic partial differential equations using the Laplacian models are investigated for regular and highly irregular node distributions over a unit square computational domain. Findings The numerical results show that one of the Laplac… Show more

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Cited by 8 publications
(2 citation statements)
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“…A new model of Laplacian operator with significant accuracy has been recently proposed which is formulated as a hybrid of ISPH with Taylor expansion and moving least-squares approach [30]. Later, the significant higher accuracy of this model in comparison with some of the well-known higher-order Laplacian SPH models was shown by Heydari et al [12]. A somewhat similar study was conducted to solve the p-Laplacian equation using a constrained-vertex variant of the mortar spectral element method [26].…”
Section: Introductionmentioning
confidence: 99%
“…A new model of Laplacian operator with significant accuracy has been recently proposed which is formulated as a hybrid of ISPH with Taylor expansion and moving least-squares approach [30]. Later, the significant higher accuracy of this model in comparison with some of the well-known higher-order Laplacian SPH models was shown by Heydari et al [12]. A somewhat similar study was conducted to solve the p-Laplacian equation using a constrained-vertex variant of the mortar spectral element method [26].…”
Section: Introductionmentioning
confidence: 99%
“…More recently, a new kernel function with steep shape in comparison with the existing functions has been proposed to obviate the need of dummy particles in modeling solid wall boundary conditions [40][41][42]. Recently, a higher-order SPH Laplacian model has been proposed by Shobeyri [43], and later, the model was compared with some well-known higher-order models [10]. The newly proposed model shows a significant superiority in accuracy compared with the other models.…”
Section: Introductionmentioning
confidence: 99%