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Rao V. Garimella

Researcher at Los Alamos National Laboratory

Publications -  49
Citations -  1123

Rao V. Garimella is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Polygon mesh & Mesh generation. The author has an hindex of 17, co-authored 43 publications receiving 997 citations. Previous affiliations of Rao V. Garimella include Rensselaer Polytechnic Institute & Ohio University.

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Boundary layer mesh generation for viscous flow simulations

TL;DR: The generalized advancing layers method is presented here as a method of generating meshes suitable for capturing viscous flow problems and includes several new technical advances allowing it to mesh complex geometric domains that cannot be handled by other techniques.
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A comparative study of interface reconstruction methods for multi-material ALE simulations

TL;DR: It is demonstrated that the MOF method provides the most accurate tracking of interfaces, followed by the VOF method with the right material order, while the solutions with VOF using the wrong material order are considerably worse.

Triangular and Quadrilateral Surface Mesh Quality Optimization Using Local Parametrization (LA-UR-02-7190)

TL;DR: Two optimization approaches are described, one which improves the quality of elements as much as possible and the other which improves element quality but also keeps the new mesh as close as possible to the original mesh.
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Integrated surface/subsurface permafrost thermal hydrology: Model formulation and proof‐of‐concept simulations

TL;DR: In this article, a fine-scale integrated surface/subsurface thermal hydrology modeling capability is described and demonstrated in proof-of-concept simulations on the tilted open book catchment.
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Triangular and quadrilateral surface mesh quality optimization using local parametrization

TL;DR: In this article, a non-linear numerical optimization process is used to improve the quality of surface meshes while maintaining the essential characteristics of the discrete surface, and the surface characteristics are preserved by repositioning mesh vertices in a series of element-based local parametric spaces such that the vertices remain on the original discrete surface.