Set-Based Design Method for Rigid Axle Suspension using Bayesian Active Learning

It is important to discover feasible region that satisfy multiple performances in the early stage of vehicle development. In this paper, the authors propose a set-based design method of rigid type suspension by introducing machine learning. In the proposed design method, surrogate model of the characteristics of rigid axle suspension are trained by using Gaussian process (GP). By using the posterior distribution of GP, adaptive sampling strategy to find feasible region is introduced. To show effectiveness of the proposed design method, a numerical example is demonstrated. In the numerical example, feasible region of suspension characteristics that satisfy multiple performances was identified.

• Record URL:
  • https://doi.org/10.11351/jsaeronbun.54.259
• Record URL:
  • https://www.jstage.jst.go.jp/article/jsaeronbun/54/2/54_20234065/_pdf
• 
• Record URL:
  • https://scholar.google.com/scholar_lookup?title=Set-Based%20Design%20Method%20for%20Rigid%20Axle%20Suspension%20using%20Bayesian%20Active%20Learning&author=H.%20Shiraishi&author=K.%20Shintani&author=M.%20Iwata&author=Y.%20Takada&publication_year=2023
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
• Authors:
  • Shiraishi, Hideki
  • Shintani, Kohei
  • Iwata, Motofumi
  • Takada, Yasuaki
• Publication Date: 2023-3

Language

• English
• Japanese

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 259-264
• Serial:
  • Transactions of Society of Automotive Engineers of Japan
  • Volume: 54
  • Issue Number: 2
  • Publisher: Society of Automotive Engineers of Japan
  • ISSN: 0287-8321
  • EISSN: 1883-0811
  • Serial URL: https://www.jstage.jst.go.jp/browse/jsaeronbun
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Axles; Bayes' theorem; Computer aided design; Machine learning; Suspension systems; Vehicle design
• Subject Areas: Design; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01876800
• Record Type: Publication
• Source Agency: Japan Science and Technology Agency (JST)
• Files: TRIS, JSTAGE
• Created Date: Mar 23 2023 10:20AM