碩士 / 國立臺灣科技大學 / 營建工程系 / 103 / A temporary bridge panel made of glass fiber reinforced plastic (GFRP) components is subjected to vehicular traffic load. In order to reduce production cost while keeping a specified reliability against variability in material, construction, and load, reliability‑based design optimization (RBDO) is applied to the finite element model of the panel.
Conventional gradient or Hessian based optimization algorithms are thought to be efficient, but they are local optimization algorithms – without a carefully chosen initial point they often fail or deliver sub‑optimal solutions. The calculation of derivatives means a detour is necessary for non‑differentiable problems and these algorithms become less preferable when the derivatives are costly. Current swarm intelligence algorithms are good global optimization propositions, but they are usually slow in convergence.
The goal of this research is to develop an efficient, effective, multi‑purpose optimization algorithm, and use it to determine the best possible GFRP panel designs in computer simulations.
| Identifer | oai:union.ndltd.org:TW/103NTUS5512103 |
| Date | January 2015 |
| Creators | Tung-Yi Lin, 林桐儀 |
| Contributors | Kuo-Wei Liao, 廖國偉 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | en_US |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 55 |
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