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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Fu, Yan Steve, C. Wang Urmila, M. Diwekar Kemal, H. Sahin |
| Abstract | With the continuous improvement of powerful computers, vehicle structural designs have been addressed using computational methods, resulting in more efficient development of new vehicles. Most simulation-based optimization generates deterministic optimal designs without considering variability effects in modeling, simulation, and/or manufacturing. This paper presents an application of a new stochastic optimization method for vehicle side impact design. Nonlinear response surface models are employed for approximations of the side impact related test performance functions to conduct this study. The main goal is to maintain or enhance the vehicle side impact test performance while minimizing the vehicle weight under various uncertainties. The new algorithm alleviates the computational burden of excessive model evaluations by estimating the objective and constraint functions during the optimization process through a reweighting method. The efficiency and accuracy of this algorithm is presented through an actual vehicle safety design problem. |
| Sponsorship | Design Engineering Division and Computers and Information in Engineering Division |
| Starting Page | 361 |
| Ending Page | 370 |
| Page Count | 10 |
| File Format | |
| ISBN | 0791836223 |
| DOI | 10.1115/DETC2002/DAC-34075 |
| e-ISBN | 0791836037 |
| Volume Number | Volume 2: 28th Design Automation Conference |
| Conference Proceedings | ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference |
| Language | English |
| Publisher Date | 2002-09-29 |
| Publisher Place | Montreal, Quebec, Canada |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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