Robust and multidisciplinary design optimization of automotive structures

The automotive industry continuously strives to improve methods and processes in order to develop light-weight vehicles that meet new challenging requirements on emissions and safety. Optimization has been identified as a key enabler for further improvement. The primary aim of this project has been to find suitable methods for implementing largescale robust and multidisciplinary design optimization of automotive structures within current product development. The work covers assessing existing methods and developing new improved ones, where needed. The methods are verified on small academic examples as well as large-scale industrial cases. The project is divided into two main parts and has resulted in two doctoral theses covering optimization of vehicle structures under uncertainty (Shetty, 2017) and metamodel-based multidisciplinary design optimization (MDO) of vehicle structures (Ryberg, 2017).

• Record URL:
  https://www.vinnova.se/globalassets/mikrosajter/ffi/dokument/slutrapporter-ffi/trafiksakerhet-och-automatiserade-fordon-rapporter/2014-01340_en.pdf
• 
• Corporate Authors:

  Fordonsstrategisk Forskning och Innovation (FFI)

  ,   Sweden 
• Authors:
  • Shetty, Sandeep
  • Ryberg, Ann-Britt
• Publication Date: 2017

Language

• English

Media Info

• Pagination: 9p

Subject/Index Terms

• TRT Terms: Computer aided design; Design; Vehicles
• ITRD Terms: 8657: Computer aided design; 9011: Design and calculation; 1255: Vehicle
• Subject Areas: Design; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01739061
• Record Type: Publication
• Source Agency: Swedish National Road and Transport Research Institute (VTI)
• Files: ITRD, VTI
• Created Date: May 14 2020 9:41AM