Sequential Design-Space Reduction and Its Application to Hull-Form Optimization
| Autor: | Zu-Yuan Liu, Qiang Zheng, Hai-Chao Chang, Bai-Wei Feng, Xiao Wei |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Journal of Marine Science and Engineering, Vol 11, Iss 8, p 1481 (2023) |
| Druh dokumentu: | article |
| ISSN: | 11081481 2077-1312 |
| DOI: | 10.3390/jmse11081481 |
| Popis: | Hull-form optimization is a complex engineering problem. Owing to the several numerical simulations and complex design-performance spaces, hull-form optimization is considered an inefficient process, which makes determining the global optimum difficult. This study used rough set theory (RST) to acquire knowledge and reduce the design space for hull-form optimization. Furthermore, we studied one of the hull-form optimization problems by practically applying RST to the appropriate number of sampling points. To solve this problem, we proposed the RST-based sequential design-space reduction (SDSR) method that uses interval theory to calculate subspace intersections and unions, as well as test calculations to choose an appropriate stopping criterion. Finally, SDSR was used to optimize a KRISO container ship to minimize the wave-making resistance. The results were compared to those of direct optimization and one-time design-space reduction, thus proving the feasibility of this method. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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