2021
DOI: 10.1088/1742-6596/1743/1/012039
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A coupled Meshless-FEM method based on strong form of Radial Point Interpolation Method (RPIM)

Abstract: In this present work, we are implementing a novel hybrid method based on the coupling of RPIM in strong form and Finite Element Method (FEM). The basic idea is to ensure the coupling between the two methods through the collocation technique based on RPIM interpolation. This technique is used to evaluate the local equations of the problem at the interface between FEM and RPIM regions. We can avoid numerical integrations of a big part of nodes using the strong form of RPIM. Numerical studies show that this metho… Show more

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Cited by 3 publications
(2 citation statements)
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“…The objective in the future is to apply this approach on other type of shells, such as FGM cylindrical Shells [15,19]. In addition, we will try to develop meshless models [20][21][22][23][24][25][26][27] based on TSDT theory for the analysis of FGM plates. Comparison of natural frequencies between a laminated P-FGM plate and a simple P-FGM plate using the power law.…”
Section: Discussionmentioning
confidence: 99%
“…The objective in the future is to apply this approach on other type of shells, such as FGM cylindrical Shells [15,19]. In addition, we will try to develop meshless models [20][21][22][23][24][25][26][27] based on TSDT theory for the analysis of FGM plates. Comparison of natural frequencies between a laminated P-FGM plate and a simple P-FGM plate using the power law.…”
Section: Discussionmentioning
confidence: 99%
“…The accuracy of meshless methods in capturing fine details and gradients is crucial for modeling the precise thermal effects and material removal processes in laser drilling. So, meshless methods offer significant advantages over the FEM in terms of flexibility, accuracy, and efficiency, particularly for problems with large deformations, and moving boundaries [66]. These features make meshless methods an attractive choice for modeling and simulating processes like laser drilling, where high precision and adaptability are critical.…”
Section: Numerical Discretization 31 Spatial Approximationmentioning
confidence: 99%