ISSUE 02THURSDAY, JUNE 4, 2026PRINT 06.2026

GEOMDIGEST

THE INSIDER PUBLICATION FOR COMPUTATIONAL GEOMETRY & DESIGN

GEOMDIGEST / PAPERS / NUMERICAL-HOMOGENIZATION-OF-SAND-FROM-GRAIN-LEVEL-SIMULATIONS-2025-000758
No code

Numerical Homogenization of Sand from Grain-level Simulations

2025 / ACM Transactions on Graphics / DOI 10.1145/3763344

The realistic simulation of sand, soil, powders, rubble piles, and large collections of rigid bodies is a common and important problem in the fields of computer graphics, computational physics, and engineering. Direct simulation of these individual bodies quickly becomes expensive, so we often approximate the entire group as a continuum material that can be more easily computed using tools for solving partial differential equations, like the material point method (MPM). In this paper, we present a method for automatically extracting continuum material properties from a collection of rigid bodies. We use numerical homogenization with periodic boundary conditions to simulate an effectively infinite number of rigid bodies in contact. We then record the effective stress-strain relationships from these simulations and convert them into elastic properties and yield criteria for the continuum simulations. Our experiments validate existing theoretical models like the Mohr-Coulomb yield surface by extracting material behaviors from a collection of spheres in contact. We further generalize these existing models to more exotic materials derived from diverse and non-convex shapes. We observe complicated jamming behaviors from non-convex grains, and we introduce a new material model for materials with extremely high levels of internal friction and cohesion. We simulate these new continuum models using MPM with an improved return mapping technique. The end result is a complete system for turning an input rigid body simulation into an efficient continuum simulation with the same effective mechanical properties.

0
Citations
85
References
0
Implementations
No evidence
Repro status

Reproducibility Dossier

No evidenceConfidence: automated / checked Apr 2026

GEOMDIGEST treats reproducibility as an evidence trail: public artifacts, documentation, data, packaging, archival stability, and verification checks. Numeric scores are only exposed for audited records; public pages prioritize the evidence itself.

0
Evidence
0
Verified
not yet
Code
not yet
Data
not yet
Docs
not yet
Build checks
No public reproducibility evidence has been attached yet. Editors can add code, data, documentation, package, demo, benchmark, archive, or supplement links.
Methodology
Improve this dossier

Implementation Index

No implementations indexed yet

This paper is in the knowledge graph, but we have not attached a runnable artifact yet.

Citation Lineage

Selected paper
Numerical Homogenization of Sand from Grain-level Simulat...
2025 / 0 citations
Cited by0