59 citations · 81 across the 10 of their papers we have counts for
5 papers · 1 filter
Adjoint lattice kinetic scheme for topology optimization in fluid problems
Yuta Tanabe, Kentaro Yaji, Kuniharu Ushijima
This paper proposes a topology optimization method for non-thermal and thermal fluid problems using the Lattice Kinetic Scheme (LKS).LKS, which is derived from the Lattice Boltzman…
Deep Concept Identification for Generative Design
Ryo Tsumoto, Kentaro Yaji, Yutaka Nomaguchi +1
A generative design based on topology optimization provides diverse alternatives as entities in a computational model with a high design degree. However, as the diversity of the ge…
Data-driven topology design with persistent homology for enhancing population diversity
Taisei Kii, Kentaro Yaji, Hiroshi Teramoto +1
This paper proposes a selection strategy for enhancing population diversity in data-driven topology design (DDTD), a topology optimization framework based on evolutionary algorithm…
Data-driven multifidelity topology design with multi-channel variational auto-encoder for concurrent optimization of multiple design variable fields
Hiroki Kawabe, Kentaro Yaji, Yuichiro Aoki
The objective of this study is to establish a gradient-free topology optimization framework that facilitates more global solution searches to avoid entrapping in undesirable local…
Data-driven topology design based on principal component analysis for 3D structural design problems
Jun Yang, Kentaro Yaji, Shintaro Yamasaki
Topology optimization is a structural design methodology widely utilized to address engineering challenges. However, sensitivity-based topology optimization methods struggle to sol…