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Enriched Reproducing Kernel Particle Approximation for Simulating Problems Involving Moving Interfaces

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Meshfree Methods for Partial Differential Equations III

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 57))

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Abstract

In this paper we propose a new approximation technique within the context of meshless methods able to reproduce functions with discontinuous derivatives. This approach involves some concepts of the reproducing kernel particle method (RKPM), which have been extended in order to reproduce functions with discontinuous derivatives. This strategy will be referred as Enriched Reproducing Kernel Particle Approximation (E-RKPA). The accuracy of the proposed technique will be compared with standard RKP approximations (which only reproduces polynomials).

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Joyot, P., Trunzler, J., Chinesta, F. (2007). Enriched Reproducing Kernel Particle Approximation for Simulating Problems Involving Moving Interfaces. In: Griebel, M., Schweitzer, M.A. (eds) Meshfree Methods for Partial Differential Equations III. Lecture Notes in Computational Science and Engineering, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-46222-4_9

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