This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Multiple Solutions by Performance Band: An Effective Way to Deal with Modeling Error
Technical Paper
2004-01-1688
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Robust optimization usually requires numerous functional evaluations, which is not feasible when the functional evaluation is time-consuming. Examples in automobile industry include crash worthiness/safety and fatigue life simulations. In practice, a response surface model (RSM) is often used as a surrogate to the CAE model, so that robust optimization can be carried out. However, if the error in the RSM is significant, the solution based on the RSM can be invalid. This paper proposes a method of finding multiple candidate solutions, all of which have similar predicted performances. This approach is effective in finding the close-to-optimum solutions when the model has error, and providing design alternatives. Examples are provided to illustrate the method.
Recommended Content
| Technical Paper | Airbag Modeling Using Initial Metric Methodology |
| Journal Article | Design Optimization of Airline Seats |
| Technical Paper | Analysis and Optimization for Cracking of a Steering Tie Rod based on Arc Length Algorithm |
Authors
Citation
Ding, X. and Kale, S., "Multiple Solutions by Performance Band: An Effective Way to Deal with Modeling Error," SAE Technical Paper 2004-01-1688, 2004, https://doi.org/10.4271/2004-01-1688.Also In
References
- Dixon L.C.W. Szego G.P. The Global Optimization Problem: An Introduction Dixon L.C.W. Szego G.P. Towards Global Optimization 2 1 15 North Holland, New York 1978
- Ye K. Li W. Sudjianto A. Algorithmic Construction of Optimal Symmetric Latin Hypercube Designs Journal of Statistical Planning and Inference vol. 90 145 159 2000