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研究生: 石政哲
Shih, Cheng-Che
論文名稱: 多目標改變船體線型最佳化之研究
Multi-objective optimization for the performance improvement of ship hull forms
指導教授: 楊世安
Yang, Shih-An
共同指導教授: 方銘川
Fang, Ming-Chung
學位類別: 碩士
Master
系所名稱: 工學院 - 系統及船舶機電工程學系
Department of Systems and Naval Mechatronic Engineering
論文出版年: 2016
畢業學年度: 104
語文別: 中文
論文頁數: 64
中文關鍵詞: 貨櫃船裸船阻力試驗耐海性試驗粒子群演算法最佳化C♯Rhino3DSHIPFLOW
外文關鍵詞: Container, Shoulder-bulbous bulb, Ship resistance, Seakeeping, Particle Swarm Optimization.
相關次數: 點閱:127下載:8
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  • 本研究分成兩部分,第一個為數值模擬部分是利用多目標粒子群演算法探討船舶線型最佳化設計之問題,結合船用計算流體力學及船體運動學評估設計船型所需考量之適應值,如:總阻力係數、縱搖、起伏等船形表現指標,並利用Rhino3D中變形控制器隨機產生船體肩部外型,轉換檔案提供耐海性與商用計算流體力學軟體SHIPFLOW進行計算,比較單目標與多目標演算法對於肩部線型改變之影響,以及在多目標求解情況下,將原本只變化球艏的船型與擴大範圍至肩部線型的船型做比較,預期可以增加改善興波阻力與耐海性的結果。
    第二個部分為試驗部分為對於現有原型船做單目標肩部線型最佳化,將最佳化後的船模在成大拖航水槽進行裸船阻力試驗與耐海試驗,分別得到船模裸船總阻力值和船體運動量,再與原型船進行比較。
    本研究係以物件導向軟體C ♯ (發音:C sharp)為主程式架構撰寫多目標粒子群演算法,配合按鍵精靈製作腳本執行變動Rhino3D中控制點產生新船型,修正原始船型以計算出多目標最佳化的柏拉圖解集。
    本研究經多方探討後,結果建議在主要尺寸皆不變的情況下,藉由變動球艏或是擴大範圍至肩部線型要以多目標方式改善耐海性能並不適用,應降低興波阻力為主,減少油耗達到節能減碳之目的。

    The objective of the present study is to apply the optimization technique based on the particle swarm optimization algorithm to improve the ship hull forms with respect to the wave resistance and the seakeeping characteristics. There are two main parts in the study: (I) Numerical simulations and (II) The Experimental test for verification.
    The first part (I), is to apply the software including the computation fluid dynamics and ship motion to estimate the hull design factors, i.e. total resistance, pitch and heave. The single- and multi-objective particle swarm optimization algorithm are applied to produce the optimized shoulder-bulbous bow shape instead of the optimized bulbous bow in order to obtain more improvement on wave-making resistance and seakeeping characteristics than before. The second part (II), is to handle the model test in the NCKU SNAME towing tank to verify the reliability and the accuracy of the new optimized shoulder-bulbous bow shape for a container ship, including the bare hull resistance tests in calm water and the seakeeping tests in head waves. The related verifications based on the original ship model are firstly done by comparing the experimental results and CFD calculations.
    After a series of analysis, we find that the multi-objective optimization approach including heave, pitch and wave-making resistance is proved to be inefficient in this study. Hence we suggest to apply single-objective optimization approach based on the wave-making resistance to make the ship hull optimization design.

    摘要 I Abstract II 誌謝 VIII 目錄 IX 圖目次 XII 表目次 XVI 符號 XVII 第1章 緒論 1 1.1 研究背景與目的 1 1.2 文獻回顧 2 1.3 本文架構 6 第2章 研究理論與方法 7 2.1 單目標演算法介紹 7 2.1.1 模擬退火法(Simulated Annealing) 7 2.1.2 基因演算法 7 2.1.3 粒子群演算法 10 2.2 多目標最佳化 14 2.3 多目標粒子群演算法 15 2.4 計算流體力學 20 2.4.1 船舶阻力計算 20 2.4.2 船舶耐海性計算 25 2.5 生成計算所需檔案 28 2.5.1 SHIPFLOW計算輸入檔 28 2.5.2 耐海性計算輸入檔 29 2.6 應用於優化船型 30 2.7 疊代次數測試 32 第3章 船模建立與實驗設備 34 3.1 原型船幾何 34 3.2 曲面變形 35 3.2.1 Rhinoceros 3D 35 3.2.2 肩部線型變動 36 3.3 肩部優化之船模幾何 37 3.3.1 船模製作 37 3.3.2 船模檢測 37 3.4 實驗設備與器材 45 3.4.1 拖航水槽 45 3.4.2 船模上設備 45 第4章 結果與討論 47 4.1 貨櫃船肩部線型多目標最佳化:興波阻力、起伏、縱搖 47 4.2 原型船與多目標最佳化結果比較與分析 48 4.3 原型船與單目標最佳化船型耐海性實驗比較 56 4.4 計算流體學與實驗結果比較 57 第5章 結論與未來展望 59 參考文獻 61

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