Machine learning surrogate model for finite element analysis of railway vehicles using principal component analysis and multilayer perceptron-Reference-Cited by-同舟云学术

Machine learning surrogate model for finite element analysis of railway vehicles using principal component analysis and multilayer perceptron

Published:2024 Issue: Volume: Page:
ISSN:2187-9761
Container-title:Transactions of the JSME (in Japanese)
language:en
Short-container-title:

Author:

FUKUMOTO Kohei¹,SAKAKIMA Hiroki¹,FURUTANI Ryo²,KAWASAKI Takeshi²,IZUMI Satoshi¹

Affiliation:

1. Department of Mechanical Engineering, The University of Tokyo

2. Kasado Rail Systems Product Division, Hitachi, Ltd.

Publisher

Japan Society of Mechanical Engineers

Link

https://www.jstage.jst.go.jp/article/transjsme/advpub/0/advpub_24-00133/_pdf

Reference17 articles.

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4. Kawasaki, T., Investigation method for relationship between weight and stiffness on double skin carbody made of aluminum alloy for railway, Under Review (in Japanese).

5. Kawasaki, T., Okuno, S., Masai, K., Yamaji, K., Ohta, T., Ikeda, R. and Hasegawa, S., Structural Analysis of Railway Car Body Made of Aluminium Hollow Extrusions, Transactions of the Japan Society of Mechanical Engineers, Series A, Vol.65, No.636 (1999), pp.1832–1838 (in Japanese).