Volume 9: Mechanics of Solids, Structures and Fluids 2015
DOI: 10.1115/imece2015-51939
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Implementation and Verification of RKPM in the Sierra/SolidMechanics Analysis Code

Abstract: The reproducing kernel particle method (RKPM) is a meshfree method for computational solid mechanics that can be tailored for an arbitrary order of completeness and smoothness. The primary advantage of RKPM relative to standard finite-element (FE) approaches is its capacity to model large deformations, material damage, and fracture. Additionally, the use of a meshfree approach offers great flexibility in the domain discretization process and reduces the complexity of mesh modifications such as adaptive refinem… Show more

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“…The grey, horizontal line is the measured height from the experiment and the other lines are the predictions given by the simulations. Three discretizations are considered: a coarse discretization with 938 nodes, a medium discretization with 26 488 nodes, and a fine discretization with 46 592 nodes [12]. The medium and fine refinements have a nearly identical response and predict the final height very well.…”
Section: Taylor Bar Impactmentioning
confidence: 99%
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“…The grey, horizontal line is the measured height from the experiment and the other lines are the predictions given by the simulations. Three discretizations are considered: a coarse discretization with 938 nodes, a medium discretization with 26 488 nodes, and a fine discretization with 46 592 nodes [12]. The medium and fine refinements have a nearly identical response and predict the final height very well.…”
Section: Taylor Bar Impactmentioning
confidence: 99%
“…Instead of considering a characteristic element length, the RKPM uses the support distance instead as well as the wave speed of the material given by the effective lamé parameters and material density. The integration method (SCNI, SNNI, VCSNNI) also affects the critical time step [1,12]. In the foam crush analysis, significant oscillation could be observed, shown in Currently, RKPM is implemented using a Lagrangian formulation.…”
Section: Chapter 4 Foam Crush Simulationmentioning
confidence: 99%
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