A polynomial-reproducing Taylor transfer and Jameson–Schmidt–Turkel stabilization for the material point method

In the material point method, particle–grid velocity transfer schemes such as the fluid-implicit-particle (FLIP) and affine particle-in-cell (APIC) exhibit strong but opposite time-step dependencies: FLIP introduces less numerical dissipation but develops severe velocity oscillations as the time step decreases, whereas PIC-based schemes suppress oscillations but introduce increasing numerical dissipation under time-step refinement. This dissipation originates from the inability of PIC-type transfers to exactly reproduce the underlying velocity field, which leads to information loss during particle-to-grid projection. To overcome this limitation, we develop a lossless polynomial-reproducing velocity transfer of order k , which exactly reproduces any polynomial velocity field of degree ≤ k . The proposed transfer is derived through a novel recurrence relation that rigorously enforces the discrete recovery of derivatives up to order k and naturally generalizes the original first-order Taylor particle-in-cell (TPIC) transfer, resulting in a unified TPIC( k ) formulation with B-spline basis functions. By improving transfer accuracy, the proposed TPIC( k ) substantially reduces the dissipation inherent in PIC-type methods. However, the reduced numerical dissipation also makes the scheme more susceptible to spurious high-frequency velocity oscillations. To suppress these oscillations, we incorporate Jameson–Schmidt–Turkel (JST) stabilization into the proposed framework. The resulting JST-stabilized TPIC( k ) scheme achieves high accuracy, improved stability, and favorable energy preservation, as demonstrated in large elastic and elastoplastic simulations.

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Publication Details

Journal
Journal of Computational Physics
Published
2026-04-21
DOI
https://doi.org/10.1016/j.jcp.2026.114964
Primary Topic
Fluid Dynamics Simulations and Interactions
Type
article
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article

A polynomial-reproducing Taylor transfer and Jameson–Schmidt–Turkel stabilization for the material point method

Satoshi Matsumura, Keita Nakamura
Journal of Computational Physics
Fluid Dynamics Simulations and Interactions
article

A polynomial-reproducing Taylor transfer and Jameson–Schmidt–Turkel stabilization for the material point method

Satoshi Matsumura, Keita Nakamura
article en

Abstract

In the material point method, particle–grid velocity transfer schemes such as the fluid-implicit-particle (FLIP) and affine particle-in-cell (APIC) exhibit strong but opposite time-step dependencies: FLIP introduces less numerical dissipation but develops severe velocity oscillations as the time step decreases, whereas PIC-based schemes suppress oscillations but introduce increasing numerical dissipation under time-step refinement. This dissipation originates from the inability of PIC-type transfers to exactly reproduce the underlying velocity field, which leads to information loss during particle-to-grid projection. To overcome this limitation, we develop a lossless polynomial-reproducing velocity transfer of order k , which exactly reproduces any polynomial velocity field of degree ≤ k . The proposed transfer is derived through a novel recurrence relation that rigorously enforces the discrete recovery of derivatives up to order k and naturally generalizes the original first-order Taylor particle-in-cell (TPIC) transfer, resulting in a unified TPIC( k ) formulation with B-spline basis functions. By improving transfer accuracy, the proposed TPIC( k ) substantially reduces the dissipation inherent in PIC-type methods. However, the reduced numerical dissipation also makes the scheme more susceptible to spurious high-frequency velocity oscillations. To suppress these oscillations, we incorporate Jameson–Schmidt–Turkel (JST) stabilization into the proposed framework. The resulting JST-stabilized TPIC( k ) scheme achieves high accuracy, improved stability, and favorable energy preservation, as demonstrated in large elastic and elastoplastic simulations.

Journal of Computational PhysicsVol. 561
Port and Airport Research Institute (JP)
Affordable and clean energy
Openalex Percentile: Top 16%
Fluid Dynamics Simulations and Interactions
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