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Summary & Details

Reduction of CAE calculation cost using machine learning

機械学習を用いた CAE の計算コスト低減

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20217032

Paper/Info type: Symposium Text

No.18-21

Pages: 1-5(Total 5 p)

Date of publication: Jan 2022

Publisher: JSAE

Language: Japanese

Event: JSAE Symposium 2021

Detailed Information

Author(J)	1) 山本健太郎, 2) 和田義孝, 3) 尾形海
Author(E)	1) Kentarou Yamamoto, 2) Yoshitaka Wada, 3) Kai Ogata
Affiliation(J)	1) 株式会社SUBARU, 2) 近畿大学, 3) 近畿大学大学院
Affiliation(E)	1) Subaru Corporation, 2) Kindai University, 3) Kindai University
Abstract(J)	ものづくりの初期段階では様々な試行のためにスピードが重視される。機械学習によるCAEの代理モデルも有効な手段の一つであるが、実用には学習用データの生成時間がネックとなる場合が多い。今回は歩行者保護脚部を題材とし、CAEモデルの簡易化と計算時間短縮を、機械学習を用いて行った事例を紹介する。 Translation
Abstract(E)	In the early stages of manufacturing, speed is important for various trials. It is one of the effective means, to use a machine learning model as a substitute for a simulation model. However in practical use, the generation time of learning data is often a bottleneck. This time, we will introduce an example of using machine learning to simplify the CAE model and shorten the calculation time, using the pedestrian protection leg as the theme.

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