K
Kazuhiro Nakahashi
Researcher at Japan Aerospace Exploration Agency
Publications - 229
Citations - 4187
Kazuhiro Nakahashi is an academic researcher from Japan Aerospace Exploration Agency. The author has contributed to research in topics: Aerodynamics & Mesh generation. The author has an hindex of 31, co-authored 229 publications receiving 3983 citations. Previous affiliations of Kazuhiro Nakahashi include Pusan National University & Tohoku University.
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Journal ArticleDOI
Reordering of Hybrid Unstructured Grids for Lower-Upper Symmetric Gauss-Seidel Computations
Dmitri Sharov,Kazuhiro Nakahashi +1 more
TL;DR: This note is devoted to the three-dimensional hybrid grid implementation of the LU-SGS method, which cannot be vectorized and is not compatible with commonly used edge-based data structure.
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Direct Surface Triangulation Using Stereolithography Data
Yasushi Ito,Kazuhiro Nakahashi +1 more
TL;DR: An efe cient and user-friendly approach is presented for constructing unstructured surface grids directly on three-dimensional CAD surface data for surface meshing, and a notable reduction in turnaround time has been achieved.
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Surface triangulation for polygonal models based on CAD data
Yasushi Ito,Kazuhiro Nakahashi +1 more
TL;DR: In this paper, an approach to the generation of unstructured surface meshes for Computer-Aided Design (CAD) surface models represented as lists of polygons with minimum user interventions is presented.
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Some challenges of realistic flow simulations by unstructured grid CFD
TL;DR: In this article, an unstructured grid method was proposed to compute flows around geometrically complex bodies having relative motions. And the capability of the method is demonstrated for simulations of an airplane separation process from a rocket booster and a hornet in flight.
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Intergrid-Boundary Definition Method for Overset Unstructured Grid Approach
TL;DR: In this article, an efficient and robust algorithm to localize the intergrid boundaries for the overset unstructured grid method is proposed, where neighbor-to-neighbor jump search algorithm is efficiently utilized in the method.