本文選題：船舶設計　切入點：船舶水動力學性能　出處：《中國艦船研究院》2017年博士論文

【摘要】：船舶水動力學性能設計是一個涉及多個學科參與的交叉設計過程,各學科之間彼此影響,需要相互協(xié)調(diào),是一個復雜的工程系統(tǒng)問題,多學科設計優(yōu)化(Multidisciplinary Design Optimization,MDO)已被共識為處理此類問題的先進理論和方法。本文以探索和實踐MDO方法在船舶水動力學三個子學科中的工程應用為目標,開展船舶水動力學性能多學科設計優(yōu)化研究,為船舶水動力學性能設計提供創(chuàng)新設計理論和方法。本文的主要研究內(nèi)容和的成果簡述如下:(1)對MDO基本理論和方法進行了系統(tǒng)的闡述,對國內(nèi)外MDO研究成果進行了歸納評述,重點對CO算法的特性及建模方法進行了研究,針對三種不同的耦合系統(tǒng)類型,提出契合的CO建模方法,推動CO建模向規(guī)范化發(fā)展;針對一類特殊優(yōu)化問題,對CO算法提出了改進,并在某散貨船水動力學性能設計優(yōu)化中獲得了富有成效的應用;(2)論述了多學科設計優(yōu)化對性能分析評估方法的新要求,首次開展了面向多學科設計優(yōu)化應用的船舶水動力學性能分析方法的研究和模塊開發(fā),涵蓋從低速到中高速范圍內(nèi)常規(guī)水面船舶的快速性、耐波性和操縱性分析,為船舶水動力學性能的多學科設計優(yōu)化創(chuàng)造基礎和條件,也為常規(guī)性能分析和優(yōu)化設計提供高效工具;(3)構(gòu)建了基于CO算法的船舶水動力學性能MDO模型,成功的實現(xiàn)了某散貨船和高速艦船的水動力學性能的綜合優(yōu)化,各學科性能的到均衡提升,平均最大提升幅度分別超過了20%和7%;但學科優(yōu)化模型越細致、越全面,耦合關系越復雜,分析計算的代價越大,MDO過程實現(xiàn)也越困難,反映出現(xiàn)階段更適合于開展概念設計階段的MDO應用研究;(4)論述了在設計中考慮不確定性對提高產(chǎn)品質(zhì)量的重要性,對不確定性的概念內(nèi)涵、表達及分析方法進行了研究,重點對可靠性和穩(wěn)健性設計方法進行了深入的剖析,并在散貨船水動力學性能優(yōu)化實例中開展了應用研究,獲得了更加可靠、穩(wěn)健的最優(yōu)解,約束的可靠度由確定性最優(yōu)解時的50%提高到可靠性最優(yōu)解的98%,目標性能的最大波動幅度減小5%。為進一步的深化研究積累了經(jīng)驗和提供了參考。
[Abstract]:Ship hydrodynamic performance design is a cross-design process involving the participation of many disciplines. It affects each other and needs to be coordinated with each other. It is a complex engineering system problem. Multidisciplinary Design Optimization (MDO) has been recognized as an advanced theory and method to deal with such problems. This paper aims to explore and practice the engineering application of MDO method in three sub-disciplines of ship hydrodynamics. To carry out a multidisciplinary design optimization study on ship hydrodynamic performance, This paper provides innovative design theory and method for ship hydrodynamic performance design. The main contents and achievements of this paper are summarized as follows: 1) the basic theories and methods of MDO are systematically expounded, and the research results of MDO at home and abroad are summarized and reviewed. The characteristics and modeling methods of CO algorithm are studied in detail. For three different types of coupled systems, a suitable CO modeling method is proposed to promote the development of CO modeling to standardization, and to solve a class of special optimization problems. The improvement of CO algorithm is put forward, and the effective application in the hydrodynamic performance design optimization of a bulk carrier is obtained. The new requirements of multidisciplinary design optimization for performance analysis and evaluation are discussed. For the first time, the research and module development of ship hydrodynamic performance analysis method for multidisciplinary design optimization is carried out, which covers the analysis of the rapidity, wave resistance and maneuverability of conventional surface ships from low to medium high speed. The MDO model of ship hydrodynamic performance based on CO algorithm is constructed, which creates the foundation and conditions for multidisciplinary design optimization of ship hydrodynamic performance, and also provides an efficient tool for conventional performance analysis and optimization design. The comprehensive optimization of hydrodynamic performance of a bulk carrier and a high speed ship has been successfully realized. The average maximum lifting range of each subject is more than 20% and 7% respectively, but the more detailed the subject optimization model is, the more comprehensive the subject optimization model is. The more complex the coupling relationship, the greater the cost of analysis and calculation, and the more difficult the implementation of the MDO process, which reflects that the emerging stage is more suitable for carrying out the conceptual design phase. (4) the importance of considering uncertainty in the design to improve the product quality is discussed. The concept connotation, expression and analysis method of uncertainty are studied, and the reliability and robustness design method is deeply analyzed, and the application research is carried out in the example of hydrodynamic performance optimization of bulk carrier. A more reliable and robust optimal solution is obtained. The reliability of the constraint is increased from 50% of the deterministic optimal solution to 98% of the reliability optimal solution, and the maximum fluctuation amplitude of the target performance is reduced by 5%.
【學位授予單位】：中國艦船研究院
【學位級別】：博士
【學位授予年份】：2017
【分類號】：U661.1
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本文編號：1688035