2013
DOI: 10.1002/nme.4526
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Second‐order convected particle domain interpolation (CPDI2) with enrichment for weak discontinuities at material interfaces

Abstract: SUMMARYConvected particle domain interpolation (CPDI) is a recently developed extension of the material point method, in which the shape functions on the overlay grid are replaced with alternative shape functions, which (by coupling with the underlying particle topology) facilitate efficient and algorithmically straightforward evaluation of grid node integrals in the weak formulation of the governing equations. In the original CPDI algorithm, herein called CPDI1, particle domains are tracked as parallelograms … Show more

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Cited by 137 publications
(105 citation statements)
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“…and the convected particle domain interpolation scheme of Sadeghirad et al . (for some more insights on available interpolations see ). In this paper, the GIMP version of the material point method has been adopted, primarily because of the quality and robustness of its implementation in the open source Uintah software (available from Utah University).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…and the convected particle domain interpolation scheme of Sadeghirad et al . (for some more insights on available interpolations see ). In this paper, the GIMP version of the material point method has been adopted, primarily because of the quality and robustness of its implementation in the open source Uintah software (available from Utah University).…”
Section: Introductionmentioning
confidence: 99%
“…In 2004, Bardenhagen and Kober [10] introduced the generalised interpolation material point method (GIMP), which improved the method greatly. Despite some shortcomings, the GIMP method remains the most popular version of the approach, although some notable new variants are now available, such as the weighted least squares implementation of Wallstedt and Guilkey [11], the versions developed by Ma et al [12] and the convected particle domain interpolation scheme of Sadeghirad et al [13,14] (for some more insights on available interpolations see [15]). In this paper, the GIMP version of the material point method has been adopted, primarily because of the quality and robustness of its implementation in the open source Uintah software (available from Utah University).…”
Section: Introductionmentioning
confidence: 99%
“…In this section, we examine the accuracy and efficiency of the MLS interpolation. Firstly, a function f (x) = sin(x) is considered on the interval [1,4]. Then, we reconstruct the material point data by setting f p = f (x p ) on the domain with 20 cells and two material point equally distributed in each cell.…”
Section: Accuracy and Efficiency Of Imls Interpolationmentioning
confidence: 99%
“…Just as numerical methods for BVPs ultimately lead to the need to evaluate integrals over spatial domains, this work ultimately requires integrals over reference probability space. The integration scheme developed here is similar in character to the material point method (MPM), which is used to solve large-deformation history-sensitive BVPs [26,27].…”
Section: Random Variable Cluster Trackingmentioning
confidence: 99%