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Student Number 88346004
Author Huahn-Tyng Weng(翁煥廷)
Author's Email Address tyng@ns14.hinet.net
Statistics This thesis had been viewed 2999 times. Download 2972 times.
Department Graduate Institute of Environmental Engineering
Year 2005
Semester 2
Degree Ph.D.
Type of Document Doctoral Dissertation
Language zh-TW.Big5 Chinese
Title A Study on Optimization Models for sewer Systems Planning and Design
Date of Defense 2006-07-10
Page Count 148
Keyword
  • bounded implicit enumeration algorithm
  • genetic algorithm
  • hybrid algorithm
  • hydraulic design
  • multi-stage multi-option system
  • system layout
  • Abstract The optimal design of new sewer systems becomes an important issue for the necessary of cost-effectiveness analysis. However the result of traditional design approach is only a very small number of the alternatives can be evaluated; therefore the final design is sometimes deficient and there is no guarantee that it is the best design. This has more inspired the research on computerized optimization models for sewer systems planning and design. In this study, according to the design procedure of experience engineer, the practical Optimization Models for Sewer Systems Planning and Design are developed with system analysis approach and divided into two phases: (1) at first, an urban Sewer System Optimization Model (SSOM) for hydraulic design is established and has become a general module for being applied to hydraulic design, which can be employed to determine the size and slope of the sewer pipes for a “fixed layout” sewer system design problem. The SSOM model uses a 0-1 mixed integer programming (MIP) and an efficient screening algorithm, the bounded implicit enumeration (BIE) algorithm. The particular consideration is to provide a set of design variables for urban sewer system design problems corresponding to the various construction modes; and (2) then the Sewer System Optimization Model for Layout & Hydraulic design
     (SSOM/LH) is established to find the optimal “system layout” for an “unfixed layout” sewer system. The goal of the optimal system layout process is to arrange a network of sewer pipes for collecting and transporting the wastewater considering the populations, the discharge flow-rate, street layout and topography of the area. Thus, the SSOM/LH was constructed as a combinatorial model to combine the Total Enumeration (TE) algorithm for a “network layout” generating procedure with the general module of developed SSOM for an optimal hydraulic design procedure. Both of the procedures perform a screening role to achieve the optimization of the “network layout” and “hydraulic design” simultaneously, and ensuring ensure that the solution obtained is globally optimal. However, in the search for optimality, the number of feasible network layout combinations increases exponentially as the number of manholes increases. This would predictably lead to an N-P complete problem if a huge sewer system is planned. To remedy the flaws in SSOM/LH, a genetic algorithm (GA) will be applied to reestablish this optimization model namely GA/SSOM/LH. “one system layout parameter in the GA evolutionary process is coded to represent one chromosome”. The specific coding strings for the “parameters” are then operated directly, resulting in a more efficient search for the optimal sewer system layout and ensuring a solution closer to the global optimum in a ‘fast’ manner. The optimality of GA/SSLOM obtained could possibly be in a local optimum.
     In this study, a concept of hybrid algorithm is first applied to establish a Two-Hybrid Sewer System Layout Optimization Model (2-Hybrid SSLOM) involving this couple of developed model’s advantages in a hybrid role for the minimum cost objective. Finally, several of case studies are conducted to verify that this developed 2-Hybrid SSLOM can indeed search for the global optimum solution with the more increased efficiency than SSOM/LH and develop as a future sewer system planning model for the convenience of solving more complicated pipeline system optimization problems.
    Table of Content 中文摘要 Ⅰ
    英文摘要 Ⅱ
    目 錄 Ⅳ
    圖 目 錄 Ⅶ
    表 目 錄 Ⅸ
    第一章 前言
    1.1 研究緣起1
    1.2 研究目的2
    1.3 研究內容2
    1.3.1 發展污水下水道系統最佳化「水力設計」模式2
    1.3.2 建置污水管網「系統配置」最佳化模式3
    1.3.3 運用遺傳演算法建置污水系統配置最佳化模式3
    1.3.4 建構「2-混合演算污水管網系統配置最佳化模式」3
    第二章 文獻回顧
    2.1 國內污水下水道管網系統規劃設計實務5
    2.1.1 區域污水下水道綱要計畫規劃準則5
    2.1.2 都市污水管網系統計畫設計規範與標準7
    2.1.3 標準污水管網系統計畫設計規範16
    2.1.4 污水下水道規劃設計最佳化模式實務應用情形26
    2.2 污水下水道系統最佳化模式發展概況27
    2.2.1 固定配置系統28
    2.2.2 非固定配置系統31
    2.3 污水管網系統最佳化模式演算法37
    2.3.1 污水管網系統非線性規劃模式演算法38
    2.3.2 柔性計算求解最佳化模式與發展39
    2.3.3 混合演算最佳化模式之應用 42
    第三章 研究方法
    3.1 污水下水道規劃設計系統分析45
    3.2 發展污水管網系統規劃設計最佳化模式46
    3.2.1 污水管網系統規劃設計最佳化模式需求與問題資料收集46
    3.2.2 污水管網系統規劃與設計問題瞭解與界定46
    3.2.3 污水管網系統規劃設計最佳化模式之建立與測試48
    3.2.4 污水管網系統規劃設計最佳化模式之應用與執行49
    3.2.5 污水管網系統規劃設計最佳化模式之推展與修訂49
    3.2.6 發展污水管網系統規劃設計最佳化模式問題解決50
    第四章 建立污水下水道規劃設計最佳化模式
    4.1 最佳化水力設計模式之建立(SSOM)51
    4.1.1 模式之範疇與邊界條件52
    4.1.2 模式輸入與輸出資料53
    4.1.3 水力設計主導方程式56
    4.1.4 揚水站位址之設置60
    4.1.5 成本函數61
    4.1.6 推導污水下水道最佳化「水力設計」模式65
    4.1.7 傳統列舉演算法求解模式72
    4.1.8 發展SSOM 實務應用模組78
    4.1.9 案例研究分析與討論79
    4.1.10 小結88
    4.2 建構污水管網「系統配置」最佳化模式(SSOM/LH)90
    4.2.1 建置最佳化「系統配置」組合演算模式90
    4.2.2 發展 SSOM/LH 最佳化組合演算流程91
    4.2.3 案例研究分析與討論92
    4.2.4 小結98
    第五章 遺傳演算法於污水管網「系統配置」最佳化模式之應用
    (GA/SSLOM)
    5.1 遺傳演算法之基礎理論99
    5.1.1 SCHEMATA Theorem99
    5.1.2 模擬模板(Similarity Templates)理論100
    5.2 遺傳演算法求解最佳化問題探討101
    5.2.1 複製(Reproduction)—主要作用是排序選擇最大值101
    5.2.2 交配(Crossover)--主要作用是重新排列組合102
    5.2.3 突變(Mutation)--主要作用是重新找答案103
    5.3 遺傳演算法於污水管網系統測試104
    5.3.1 最短管線測試模型架構104
    5.3.2 發展GA/SSLOM106
    5.3.3 案例研究分析與討論107
    5.4 小結112
    第六章 混合演算法於污水管網「系統配置」最佳化模式之應用
    (2-Hybrid SSLOM)
    6.1 應用混合演算模式之概念113
    6.2 建置2- Hybrid SSLOM 模型架構113
    6.2.1 建置2- Hybrid SSLOM 基本構想113
    6.2.2 測試分析2-Hybrid SSLOM 求解效率116
    6.3 發展2-Hybrid SSLOM 模式118
    6.3.1 建構2-Hybrid SSLOM 模式118
    6.3.2 2-hybrid SSLOM 模式整體效能分析119
    6.4 案例研究結果與討論123
    6.5 小結125
    第七章 SSOM 水力設計模式靈敏度分析
    7.1 不滿流水力特性推導127
    7.2 圓形管水力特性曲線之應用129
    7.3 SSOM 模式靈敏度分析130
    7.3.1 最大流量比靈敏度分析130
    7.3.2 最大及最小限制流速參數靈敏度測試131
    7.4 小結134
    第八章 結論與建議
    8.1 結論137
    8.2 建議138
    參考文獻 141
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    85.翁煥廷等,「小管推進工法首重鑽探」,營建自動化專題報導,財團法人台灣營建研究院,民國88年5月,台灣,台北市。
    86.胡兆康、翁煥廷、王文琦,「適用都市道路管網鋪設小管推進工法施工技術研討」,營建研究院,民國89年3月,台灣,台北市。
    87.廖述良、翁煥廷、余瑞芳、林碧亮、宋淳伍,「都市污水下水道管網系統規劃設計模式之建構,國立中央大學環境工程學刊」,第七期,民國90年2月,台灣,中壢市。
    88.翁煥廷、林碧亮、廖述良,「應用最佳化水力程式規劃大型新開發社區污水管網系統實務探討」,第十一屆下水道及水環境再生研討會,民國90年8月,台灣,台北市。
    89.翁煥廷、林碧亮、盧品仲、廖述良,「應用最佳化水力程式規劃都會區污水管網系統實務探討」,2001年下水道工程實務研討會,民國90年12月,台灣,台北市。
    90.翁煥廷、林碧亮、余瑞芳、盧品仲、廖述良,「應用BIE法最佳化都會區污水管網系統水力程式」,第十四屆環境規劃與管理研討會,民國90年12月,台灣,高雄市。
    91.翁煥廷、林碧亮、盧品仲、廖述良、張崑宗,「城市污水管網系統規劃設計最佳化程式與地理資訊系統實務應用探討」,2001年海峽兩岸環境規劃研討會,民國90年12月,台灣,台南市。
    92.翁煥廷、林碧亮、廖述良,「污水下水道系統最佳化模式之建立與應用」,二十一世紀土木工程技術與管理研討會,民國90年12月,台灣,新竹市。
    93.翁煥廷、林碧亮、盧品仲、廖述良,「都市污水下水道管網系統規劃設計模式之建構」,國立中央大學環境工程學刊,第八期,民國91年6月,台灣,中壢市。
    94.翁煥廷、林碧亮、廖述良,「都會區污水管網系統最佳水力設計模式之研究」,第十五屆環境規劃與管理研討會,民國91年12月,台灣,台北市。
    95.翁煥廷、林碧亮、廖述良,「探討永續發展都市污水下水道系統最佳化模式之應用」,國立中央大學環境工程學刊,第九期,民國92年6月,台灣,中壢市。
    96.翁煥廷、廖述良,「應用列舉法於污水管網系統配置最佳化模式之研究」,第十六屆環境規劃與管理研討會,民國92年12月,台灣,台中市。
    97.翁煥廷、廖述良,「應用遺傳演算法建置污水下水道管網系統配置最佳化模式」,第九屆海峽兩岸環境保護學術研討會,pp156–160,民國93年5月,大陸,西安市。
    98.翁煥廷、廖述良,「應用遺傳演算法於污水管網系統配置最佳化模式之研究」,第十七屆環境規劃與管理研討會,民國93年12月,台灣,台南市。
    99.翁煥廷、廖述良,「污水管網系統配置最佳化模式之研究」,第十屆海峽兩岸環境保護學術研討會,民國94年10月,台灣,台中市。
    翁煥廷、廖述良,「混合演算「污水管網系統配置最佳化模式」之研究」,第十八屆環境規劃與管理研討會,民國94年11月,台灣,中壢市。
    Advisor
  • Shu-Liang Liaw(廖述良)
  • Files
  • 88346004.pdf
  • approve immediately
    Date of Submission 2006-07-24

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