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Suresh Moorthy

Researcher at Ohio State University

Publications -  17
Citations -  1572

Suresh Moorthy is an academic researcher from Ohio State University. The author has contributed to research in topics: Finite element method & Voronoi diagram. The author has an hindex of 11, co-authored 17 publications receiving 1482 citations. Previous affiliations of Suresh Moorthy include University of Alabama.

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Multiple scale analysis of heterogeneous elastic structures using homogenization theory and voronoi cell finite element method

TL;DR: In this article, the authors deal with the development of a multiple scale finite element method by combining the asymptotic homogenization theory with Voronoi cell (VCFEM) for microstructural modeling.
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Two scale analysis of heterogeneous elastic-plastic materials with asymptotic homogenization and Voronoi cell finite element model

TL;DR: In this paper, a multiple scale finite element model (VCFEM-HOMO) was developed for elastic-plastic analysis of heterogeneous (porous and composite) materials by combining asymptotic homogenization theory with the Voronoi Cell finite element models.
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Elastic-plastic analysis of arbitrary heterogeneous materials with the Voronoi Cell finite element method

TL;DR: In this article, a Voronoi cell finite element method is developed to solve small deformation elastic-plasticity problems for arbitrary heterogenous materials, which is based on Dirichlet Tessellation of microstructural representative materials.
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Particle fracture simulation in non-uniform microstructures of metal-matrix composites

TL;DR: In this article, the authors dealt with the evolution of damage in microstructures of reinforced ductile-matrix composites by particle cracking and splitting and developed a small deformation Voronoi cell finite element model, in which each element may consist of a matrix phase, an inclusion phase and a crack phase.
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Multiple scale computational model for damage in composite materials

TL;DR: In this paper, a hierarchical multiple scale computational model is proposed to concurrently predict evolution of variables at the structural and micro-structural scales, as well as to track the incidence and propagation of microstructural damage.