摘 要
船舶是一個由諸多單元集成的龐大系統(tǒng)，它具有環(huán)境條件特殊、類型多、系統(tǒng)復(fù)雜、技術(shù)含量高、投資大，使用周期長等特點，由此導(dǎo)致了船舶設(shè)計是一個多參數(shù)、多目標、多約束的求解和優(yōu)化問題。因此，對船舶各項性能進行綜合優(yōu)化是船舶設(shè)計工作中的一項重要內(nèi)容。
本文根據(jù)船型特點選擇45個相關(guān)設(shè)計變量，并根據(jù)艦船通用設(shè)計規(guī)范等構(gòu)建了綜合優(yōu)化的約束條件；綜合考慮各性能的目標函數(shù)，建立了中高速單體船流體動力學性能和結(jié)構(gòu)特性綜合優(yōu)化的數(shù)學模型，前者包括快速性、操縱性、耐波性三方面的性能優(yōu)化；后者主要考慮其中橫剖面的優(yōu)化。
其次本文綜合考慮遺傳算法和混沌算法的優(yōu)缺點，構(gòu)建了一種基于敏感變量分段區(qū)間的、改進的并行遺傳混沌算法。將此算法與綜合優(yōu)化數(shù)學模型相結(jié)合，利用VC++語言，編制了中高速單體船流體動力學性能和結(jié)構(gòu)特性綜合優(yōu)化程序，通過大量的計算表明，該優(yōu)化程序的運行是準確、高效、可靠的。
本文研究了通用有限元軟件MSC.Patran 的二次開發(fā)語言——PCL語言?；赑CL語言，本論文編制一套有限元參數(shù)化建模、加載、計算的運行程序，基本實現(xiàn)了有限元數(shù)據(jù)讀取、建模計算的程序化。
最后本文以Visual Basic為平臺，對中高速單體船流體動力學性能和結(jié)構(gòu)特性綜合優(yōu)化程序與有限元參數(shù)化建模程序進行了初步集成，設(shè)計了具有良好交互性的圖形用戶界面，初步建立了一個綜合優(yōu)化與參數(shù)化建模校核的通用平臺，針對不同權(quán)重的目標函數(shù)進行了優(yōu)化計算和對比分析，得出了一些結(jié)論，為中高速單體船綜合優(yōu)化系統(tǒng)的建立奠定了良好的基礎(chǔ)。



關(guān)鍵詞：中高速單體船；綜合優(yōu)化；遺傳混沌算法；敏感變量； PCL


Abstract
Ship is a system which constituted many units, has the characteristics of a special operating environment, great number of types, complex systems, high technology content, invests greatly and long life cycle. All these characteristics lead the ship design to multi-parameter, multi-objective and multi-constraint optimization problems. Therefore, the integrated optimization of ship performance is an important element in ship design.
This paper selected 45 variables from the ship parameters, and built the comprehensive optimization constraints. Considering the various performance objective functions, the paper established a comprehensive optimization mathematical model of high-speed ship navigation performance, which contains the rapidity, maneuverability and seakeeping performance optimization, and structural characteristics, which mainly considered the optimization of transverse section.
Considering the advantages and disadvantages of genetic algorithm and chaos algorithm, this paper constructed an improved parallel genetic chaos algorithm based sensitive variables. Then it was combined with comprehensive optimization mathematical model and the paper used VC++ language to develop an integrated optimization program of high-speed ship navigation and structural performance. A large number of calculations show that the operation of the optimization process is accurate, efficient and reliable.
In this paper, the secondary development language of the finite element software MSC.Patran——PCL(Patran Command Language) was used to programme the system of parametric modeling, loading and calculating. And the procedure of the calculation was achieved basically.
Finally, based on Visual Basic platform, conducted a preliminary integration, which combined integrated optimization process of navigation performance and structural properties with the finite element parametric modeling program. The author designed a good interactive user interface and initially established platform for integrated optimization and parameter modeling calibration. After that, the author uses the system to some optimization and analysis for different weights of objective functions. All these had laid a good foundation for the comprehensive optimization of high-speed ship.




Key words: high-speed ship; comprehensive optimization; genetic chaos algorithm; sensitive variable; PCL


目 錄
第1章 緒論 1
1.1 課題的目的與意義 1
1.2 國內(nèi)外研究動態(tài)及水平 2
1.2.1 多學科多目標優(yōu)化發(fā)展現(xiàn)狀 2
1.2.2 遺傳算法的發(fā)展現(xiàn)狀 4
1.2.3 混沌算法的發(fā)展現(xiàn)狀 5
1.2.4 有限元法在船舶工程中的應(yīng)用 6
1.3 本文的主要研究內(nèi)容 8
第2章 中高速單體船綜合優(yōu)化數(shù)學模型 9
2.1 引言 9
2.2 中高速單體船流體動力學性能優(yōu)化數(shù)學模型 9
2.2.1 流體動力學性能優(yōu)化設(shè)計變量 9
2.2.2 流體動力學性能優(yōu)化目標函數(shù) 10
2.2.3 流體動力學性能優(yōu)化約束條件 13
2.3 中高速單體船結(jié)構(gòu)特性優(yōu)化數(shù)學模型 15
2.3.1 結(jié)構(gòu)特性優(yōu)化設(shè)計變量 15
2.3.2 結(jié)構(gòu)特性優(yōu)化目標函數(shù) 17
2.3.3 結(jié)構(gòu)特性優(yōu)化約束條件 17
2.4 中高速單體船流體動力學性能和結(jié)構(gòu)特性綜合優(yōu)化數(shù)學模型 20
2.4.1 綜合優(yōu)化設(shè)計變量 20
2.4.2 綜合優(yōu)化目標函數(shù) 21
2.4.3 綜合優(yōu)化約束條件 21
2.5 本章小結(jié) 22
第3章 綜合優(yōu)化算法的構(gòu)造與選擇 23
3.1 引言 23
3.2 遺傳算法 23
3.2.1 遺傳算法基本原理 23
3.2.2 遺傳算法計算流程 23
3.3 混沌算法 24
3.3.1 混沌算法的發(fā)展 24
3.3.2 混沌的定義及其特征 25
3.3.3 混沌算法計算流程 25
3.4 分層并行遺傳混沌算法 26
3.5 不同優(yōu)化算法的優(yōu)化計算及結(jié)果分析 27
3.5.1 不同優(yōu)化算法的優(yōu)化計算 28
3.5.2 優(yōu)化計算結(jié)果分析 32
3.6 本章小結(jié) 32
第4章 有限元參數(shù)化建模初步研究 33-b..