https://lgchemer.github.io/gmrl/research/Recent content in Research on Website of The Granular Mechanics Research Laboratory at Florida International UniversityHugo -- gohugo.ioenMon, 27 Apr 2026 00:00:00 +0000https://lgchemer.github.io/gmrl/research/granular-micromechanics-approach/Mon, 27 Apr 2026 00:00:00 +0000https://lgchemer.github.io/gmrl/research/granular-micromechanics-approach/Selected Publications Principle of VirtualWork as Foundational Framework forMetamaterial Discovery and Rational Design https://doi.org/10.5802/crmeca.151 This work presents the principle of virtual work as a unifying framework for developing generalized continuum theories and architected metamaterials. By connecting grain-scale interactions and microstructure to emergent macroscale behavior through micro-macro identification, the study demonstrates how granular and pantographic architectures can be designed to exhibit nonclassical mechanical responses beyond the limits of conventional continuum mechanics.https://lgchemer.github.io/gmrl/research/numerical-methods-and-advanced-computing/Mon, 27 Apr 2026 00:00:00 +0000https://lgchemer.github.io/gmrl/research/numerical-methods-and-advanced-computing/Selected Publications iDEM: An impulse-based discrete element method for fast granular dynamics https://doi.org/10.1002/nme.4923 This work introduces an impulse-based discrete element method (iDEM) for efficient simulation of granular materials. By replacing contact-force calculations with collision impulses and directly updating particle velocities, the method bypasses acceleration integration while preserving fidelity. The approach is numerically stable and achieves speedups approaching two orders of magnitude over conventional DEM, enabling large-scale simulations on accessible computing hardware.https://lgchemer.github.io/gmrl/research/adv-particle-characterization/Mon, 27 Apr 2026 00:00:00 +0000https://lgchemer.github.io/gmrl/research/adv-particle-characterization/Selected Publications Particle Geometry Space: An integrated characterization of particle shape, surface area, volume, specific surface, and size distribution https://doi.org/10.1016/j.trgeo.2025.101579 This work introduces Particle Geometry Space (PGS), a unified analytical framework integrating particle size (D), shape (β), surface area (A), volume (V), and specific surface (A/V) into a single geometry-based representation. Moving beyond conventional isolated methods by characterizing size or shape, PGS enables systematic interpretation of all 3D particle geometry attributes in a single space and its relationship to granular material behavior while extending the traditional particle size distribution concept into a multidimensional framework.