Machine learning surrogate model for finite element analysis of railway vehicles using principal component analysis and multilayer perceptron
In the initial stages of railway vehicle design, finite element analyses are often repeated while adjusting design variables such as plate thickness, window dimensions, and under-floor equipment installation positions to achieve the desired performance. However, this repetitive process of finite ele...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | Japanese |
| Published: |
The Japan Society of Mechanical Engineers
2024-08-01
|
| Series: | Nihon Kikai Gakkai ronbunshu |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/transjsme/90/937/90_24-00133/_pdf/-char/en |