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Koji Nishiguchi

dblp:366/4186 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0003-2264-2840ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 50% Rendering · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering › texture mapping › texture filtering
anisotropic filtering
0.912025
Plate Manufacturing Constraint in Topology Optimization Using Anisotropic Filter · Comput. Aided Des. 2025
Geometric modeling and processing
topology optimization
0.912025
Plate Manufacturing Constraint in Topology Optimization Using Anisotropic Filter · Comput. Aided Des. 2025

Methods — techniques the papers use, named apart from their topics

topology optimization · 0.9
YearPublicationVenuePosition
2025 Plate Manufacturing Constraint in Topology Optimization Using Anisotropic Filter
Yuji Wada, Tokimasa Shimada, Koji Nishiguchi, Shigenobu Okazawa, Makoto Tsubokura
Comput. Aided Des.3
2024 Eulerian elastoplastic simulation of vehicle structures by building-cube method on supercomputer Fugaku
abstract
This paper presents a novel numerical method for the elastoplastic simulation of vehicle component structures under large deformation problems, such as crash-worthiness analysis. Elastoplastic simulation of vehicle structures is essential for designing safer and more efficient vehicles, but poses significant challenges for a conventional finite element method (FEM) due to the limitation of parallel performance and mesh distortion at large deformations. To overcome these challenges, we propose using the cell-centered finite-volume method (CCFVM) in the Eulerian description and the building-cube method (BCM). The Eulerian CCFVM is a robust scheme for solving large deformations of the continuum by spatially fixed collocated Cartesian mesh, which enables a simpler data structure than conventional FEM. The BCM is a hierarchical Cartesian mesh approach in which the computational domain is divided into cubic regions with adaptive refinement suitable for parallel computing. The combination of Eulerian CCFVM and BCM enables us to perform high-fidelity simulations of vehicle component structures. We demonstrate the validity and scalability of the present method by computing a three-point bending test of vehicle component structures using different geometries, such as impact beams. The numerical results show good agreement with the reference results obtained by LS-DYNA, a commercial FEM code. We also achieve a weak scaling of 73.5% in an elastoplastic simulation of about 540 million cell mesh using 131,072 cores of supercomputer Fugaku. The proposed method is expected to contribute to the development of geometrically complex crushable structures by giga-casting and 3D printing, which are emerging manufacturing techniques for vehicle structures.
Koji Nishiguchi, Shusuke Takeuchi, Hirofumi Sugiyama, Shigenobu Okazawa, Tadasuke Katsuhara, Keiichi Yonehara, Shigeki Kojima, Kosho Kawahara, Hiroya Hoshiba, Junji Kato
HPC Asia1