本研究以生命週期成本的概念，來尋找出結構物的最佳設計風速，使未來設計者能參考這套分析模式找出最佳設計風速，並根據最佳設計風速來設計出更優化的結構物；然而其中分析的過程結合了可靠度理論，使整個研究問題成為了以可靠度為基礎的最佳化問題，即為一般的RBDO(Reliability Based Design Optimization)問題；而在分析RBDO問題時，可靠度分析的過程往往是複雜且耗時的，若使用蠻力法(Brute-Force Approuch)將使整個研究過程變得沒有效率，因此為了使我們能快速且精確的找出最佳設計風速，本文將應用一些解決RBDO問題的分析方法，其中有支撐向量機( Support Vector Machine , SVM )、局部近似法( Local Approximation , LA)、粒子群演算法( Particle Swarm Optimization , PSO )，並比較以上分析方法的效率與結果，來做為本研究另一項探討的項目。

This study,the Life-Cycle Cost concept is considered in optimizing structure design wind speed .An analysis model is supplied for designers for this paper.The considered Reliability based Design Optimization(RBDO) problem is in general is very diffcultly and time-consuming.To improve the efficiency in searching process,a Support Vector Machine(SVM) and a Local Approximation(LA) are proposed in conjuction with Particle Swarm Optimization (PSO) .Finally a numerical study demonstrates the efficiency and accuracy of the proposed method comparing to brute-force approach.

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