Reliablity-Based Optimization and Application of Fuzzy Theory for Robust Structural Design ; 信賴度基的最佳化及模糊理論的應用於結構強健設計
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| Název: | Reliablity-Based Optimization and Application of Fuzzy Theory for Robust Structural Design ; 信賴度基的最佳化及模糊理論的應用於結構強健設計 |
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| Autoři: | 史建中, Shih, C. J., 劉偉均, Liu, Woe-chun, 王植達, Wang sawidjaja, R. A. S. |
| Přispěvatelé: | 淡江大學機械與機電工程學系 |
| Informace o vydavateli: | 淡江大學 |
| Rok vydání: | 1998 |
| Sbírka: | Tamkang University Institutional Repository (TKUIR) / 淡江大學機構典藏 |
| Témata: | Structural optimization, Robust design, Multiobjective fuzzy optimization, Goal reliability |
| Popis: | This paper present two robust design strategies in structural system that simultaneously optimize the design goal-performance and minimize its performance variability. As a result, the maximization of a predefined goal-reliability indicator is equivalent to the optimization of the goal-performance and the performance variation concurrently. Fuzzy set theory is applied to formulate another way of dealing with such robust designs. Both single and multiple goal problems are investigated with random design variables and probabilistic constraints. This optimization approach can produce the highest goal-reliability, which is higher than that of a fixed goal-performance. |
| Druh dokumentu: | other/unknown material |
| Popis souboru: | 118 bytes; application/octet-stream |
| Jazyk: | English |
| Relation: | 淡江理工學刊=Tamkang journal of science and engineering 1(1), pp.31-37; https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/45675; https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/45675/1/ |
| Dostupnost: | https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/45675 https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/45675/1/ https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/45675/2/1560-6686_1-4.pdf |
| Přístupové číslo: | edsbas.692EE96 |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | This paper present two robust design strategies in structural system that simultaneously optimize the design goal-performance and minimize its performance variability. As a result, the maximization of a predefined goal-reliability indicator is equivalent to the optimization of the goal-performance and the performance variation concurrently. Fuzzy set theory is applied to formulate another way of dealing with such robust designs. Both single and multiple goal problems are investigated with random design variables and probabilistic constraints. This optimization approach can produce the highest goal-reliability, which is higher than that of a fixed goal-performance. |
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