| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6915387 | Computer Methods in Applied Mechanics and Engineering | 2018 | 41 Pages |
Abstract
It is hoped to drastically reduce the number of required simulations of a standard optimization study. In this paper, the construction of the reduced order model will be presented. Then, the relevancy of using the reduced order model into a design process will be exhibited through the treatment of two industrial test-cases. Some improvements of the method as well as several potential uses will then be outlined. The applications will highlight the promising power of the method to shorten design process using optimization and long-run simulations.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Y. Le Guennec, J.-P. Brunet, F.-Z. Daim, M. Chau, Y. Tourbier,