ポーラスやセル構造のような周期性ミクロ構造の形状・形態を最適化することにより，マクロ構造体の力学特性を所望の特性にコントロールするための構造最適化手法を開発する．２次元と３次元の種々のミクロ構造を構築し，均質化法を用いてマクロ構造と接続する．
Pōrasu ya seru kōzō no yōna shūki-sei mikuro kōzō no keijō keitai o saiteki-ka suru koto ni yori, makuro kōzōtai no rikigaku tokusei o shomō no tokusei ni kontorōru suru tame no kōzō saiteki-ka shuhō o kaihatsu suru. 2-Jigen to 3-jigen no shuju no mikuro kōzō o kōchiku shi, kinshitsukahō o mochiite makuro kōzō to setsuzoku suru.
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翻訳の結果
By optimizing the shape and morphology of periodic microstructures such as porous and cellular structures, we develop structural optimization methods to control the mechanical properties of macrostructures to desired properties. Various 2D and 3D microstructures are constructed and connected with the macrostructure using the homogenization method.

Outcome：

2022
Through multi-scale topology optimization, we succeeded in maximizing the design performance of the lightweight and thermally conductive porous structure. By comparing the three topology optimization methods, it is observed that they have a large impact on the macroscale and microscale, and the introduction of diverse microstructures reduces weight and improves spatial layout, optimizing heat conduction paths. was done. We also achieved a microstructure with a given anisotropic thermal conductivity and demonstrated its mesh dependence. Furthermore, he successfully implemented his highly detailed 3D optimized design and validated it through prototyping and testing.

2022
A simultaneous multiscale and multiphysics topology optimization method for thermal conductivity and structural stiffness was developed to demonstrate the tradeoff between thermal and mechanical compliance.

2022
Using a two-dimensional porous structure as the microstructure, we developed a method for optimizing the shape of all micropores in each layer and each subregion for the purpose of displacement control of the macrostructure consisting of laminated shells.

2022
Using a two-dimensional porous microstructure, we developed a micropore shape optimization method for the purpose of minimizing the maximum thermal stress of a linear elastic body subjected to thermal load.

2022
Two-dimensional porous structures were used as the microstructures, and an optimization method was developed to optimize the shape of all micropores in each layer and each subregion with the aim of maximizing the natural frequency of laminated shell structures.

2022
Using a micro-shell structure as the microstructure, we developed a thickness optimization method for the micro-shell for the purpose of controlling the displacement of the macrostructure.

2022
Using two- and three-dimensional porous microstructures, we developed a method for simultaneous optimization of micropore shape and macrostructural topology with the aim of maximizing the natural frequency of the macrostructure.

2022
Using a micro-lattice structure as the microstructure, we developed a simultaneous optimization method for the sizes and shapes of the micro-lattice for the purpose of controlling the displacement of the macrostructure.

Outcome：

2022
We are developing an optimization method for controlling the mechanical properties of the kirigami structure. As part of this, we reproduced the instability phenomenon associated with the expansion of the kirigami structure by nonlinear FE analysis.

2022
Assuming a solid with many self-contact slits, we developed a method to optimize the shape of the contact slits in order to obtain the target nonlinear displacement-load characteristics.

2022
To stiffen a solid design object, we have developed a method to create ribs on the surface of a solid by combining topology and shape optimization methods.

Outcome：

2022
We have developed a method for simultaneous optimization of shape and topology for the natural frequency design problem of laminated shell structures. We have made it possible to optimize the curvature distribution of the entire shell and the topology of each layer while removing spurious modes that are problematic in topology design related to natural vibration.

Outcome：

2022
We developed a GCN (Graph Convolutional network)-based machine learning method for evaluating the quality of 3D meshes composed of shell elements.

Outcome：

2022
Eulerian and Lagrangian optimization methods for curvilinear fiber orientation were developed. We applied the Eulerian method to the frequency response problem and confirmed its effectiveness numerically and experimentally. The Lagrangian method is characterized by the fact that it can be used not only for long fibers but also for short fibers.