59 citations · 81 across the 10 of their papers we have counts for
10 papers
Wasserstein crossover for evolutionary algorithm-based topology optimization
Taisei Kii, Kentaro Yaji, Hiroshi Teramoto +1
Evolutionary algorithms (EAs) are promising approaches for non-differentiable or strongly multimodal topology optimization problems, but they often suffer from the curse of dimensi…
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…
Data-driven topology design using a deep generative model
Shintaro Yamasaki, Kentaro Yaji, Kikuo Fujita
In this paper, we propose a sensitivity-free and multi-objective structural design methodology called data-driven topology design. It is schemed to obtain high-performance material…
Topology design of two-fluid heat exchange
Hiroki Kobayashi, Kentaro Yaji, Shintaro Yamasaki +1
Heat exchangers are devices that typically transfer heat between two fluids. The performance of a heat exchanger such as heat transfer rate and pressure loss strongly depends on th…
Novel flow field design for vanadium redox flow batteries via topology optimization
Chih-Hsiang Chen, Kentaro Yaji, Shintaro Yamasaki +2
This paper presents a three-dimensional topology optimization method for the design of flow field in vanadium redox flow batteries (VRFBs). We focus on generating a novel flow fiel…
Semi-Analytical Model for Wind-Fed Black Hole High-Mass X-ray Binaries -- State Transition Triggered by Magnetic Fields from the Companion Star --
Kentaro Yaji, Shinya Yamada, Kuniaki Masai
We propose a mechanism of state transition in wind-fed black hole binaries (high-mass X-ray binaries) such as Cyg X-1 and LMC X-1. Modeling a line-driven stellar wind from the comp…