利用粒子族群演算法研究多孔放流管之優化設計; Particle Swarm Optimization are used to investigate the optimal design of multiport diffuser systems

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Title:	利用粒子族群演算法研究多孔放流管之優化設計;Particle Swarm Optimization are used to investigate the optimal design of multiport diffuser systems
Authors:	李岱衛;Tai-Wei Li
Contributors:	土木工程研究所
Keywords:	演算法;多孔放流管;遺傳演算法;最佳化;粒子群;Optimal design;Multiport diffuser;Particle Swarm Optimization;PSO;Genetic Algorithm
Date:	2007-06-21
Issue Date:	2009-09-18 17:23:08 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	本研究利用粒子族群演算法來研究多孔放流管的最佳設計方案，放流管內部的流速和排放口流量計算採用管流能量的方程式，計算結果並與動量法和實驗數據比較，有不錯的結果。研究案例包括均勻管徑及非均勻管徑放流管，其中優化的參數包括有擴散管長度、擴散管直徑、豎管直徑、豎管數目，提出較佳的設計組合，並建議非均勻管徑放流管的最佳管長配比及最佳管徑比例。研究結果顯示：大型的海放管設計中，非均勻管徑均優於均勻管徑之設計方式。除此之外，在相同的適合度函數下，本研究還比較粒子族群演算法和遺傳演算法的搜尋結果，以瞭解優化模式對優化結果的影響。依照本研究所提出的設計建議，不僅可維持放流水的稀釋率標準，亦可大幅降低放流管加壓站所需的加壓水頭，並且降低管內泥沙淤積情況，增加放流管使用年限。本研究針對適合度函數和各種限制式進行深入的探討，以求取海洋放流管之最佳設計組合，以作為設計放流管參考之依據。 In this study, Particle Swarm Optimization (PSO) are used to investigate the optimal design of multiport diffuser systems. The internal hydraulics of diffuser are calculated by the energy equation of pipe flow, and the flow rate and velocity distribution inside the diffuser pipe show good agreement with experimental results. Then, this model is integrated with the Particle Swarm Optimization scheme to find out the optimal combination of diffuser parameters, such as diffuser length, diameters of diffuser and port, and number of risers. The results of optimization are compared with the results of Genetic Algorithm. In addition, non-uniform diffuser has better performance, in terms of pumping head and velocity range, as compared with the uniform diameter diffuser.
Appears in Collections:	[Graduate Institute of Civil Engineering] Electronic Thesis & Dissertation

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