On efficient and reliable stochastic generation of RVEs for analysis of composites within the framework of homogenization
Vladimir Salnikov, Daniel Choi, Philippe Karamian-Surville

TL;DR
This paper introduces efficient algorithms for generating representative volume elements (RVEs) with spherical and cylindrical inclusions, enhancing stochastic homogenization analysis of composite materials.
Contribution
It presents two explicit methods for RVE generation based on Random Sequential Adsorption and Molecular Dynamics, optimized for different inclusion densities.
Findings
Random Sequential Adsorption is efficient for low volume fractions.
Molecular Dynamics allows denser RVE configurations.
Algorithms are explicitly provided for direct implementation.
Abstract
In this paper we describe efficient methods of generation of representative volume elements (RVEs) suitable for producing the samples for analysis of effective properties of composite materials via and for stochastic homogenization. We are interested in composites reinforced by a mixture of spherical and cylindrical inclusions. For these geometries we give explicit conditions of intersection in a convenient form for verification. Based on those conditions we present two methods to generate RVEs: one is based on the Random Sequential Adsorption scheme, the other one on the time driven Molecular Dynamics. We test the efficiency of these methods and show that the first one is extremely powerful for low volume fraction of inclusions, while the second one allows us to construct denser configurations. All the algorithms are given explicitly so they can be implemented directly.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
