Abstract
In this article, a robust design procedure is applied to achieve improved vehicle handling performance as an integral part of simulation-based vehicle design. Recent developments in the field of robust design optimization and the techniques for creating global approximations of design behaviors are applied to improve the computational efficiency of robust vehicle design built upon sophisticated vehicle dynamic simulations. The approach is applied to the design of a M916A1 6-wheel tractor/M870A2 3-axle semitrailer. The results illustrate that the proposed procedure is effective for preventing the rollover of ground vehicles as well as for identifying a design that is not only optimal against the worst maneuver condition but is also robust with respect to a range of maneuver inputs. Furthermore, a comparison is made between a statistical approach and a bi-level optimization approach in terms of their effectiveness in solving robust design problems.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 303-326 |
| Number of pages | 24 |
| Journal | Engineering Optimization |
| Volume | 33 |
| Issue number | 3 |
| DOIs | |
| State | Published - Feb 2001 |
Funding
The. support from NSF through grant DM11 9624363 for the development of the Robust Concept Exploration Method is gratefully acknowledged. We are grateful for the contract with the Tank Army Command (TACOM) on Advanced Vehicle Systems Design and the support from the Automotive Research Center (ARC). We thank LMS International, Belgium, for the use of O P T I M U S in creating response surface models.
Keywords
- Bi-level optimization
- Global approximations
- Robust design
- Rollover
- Statistical approach
- Vehicle handling
ASJC Scopus subject areas
- Computer Science Applications
- Control and Optimization
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics