船舶水动力学性能多学科设计优化研究

发布时间：2018-03-30 23:05

  本文选题：船舶设计　切入点：船舶水动力学性能　出处：《中国舰船研究院》2017年博士论文

【摘要】：船舶水动力学性能设计是一个涉及多个学科参与的交叉设计过程,各学科之间彼此影响,需要相互协调,是一个复杂的工程系统问题,多学科设计优化(Multidisciplinary Design Optimization,MDO)已被共识为处理此类问题的先进理论和方法。本文以探索和实践MDO方法在船舶水动力学三个子学科中的工程应用为目标,开展船舶水动力学性能多学科设计优化研究,为船舶水动力学性能设计提供创新设计理论和方法。本文的主要研究内容和的成果简述如下:(1)对MDO基本理论和方法进行了系统的阐述,对国内外MDO研究成果进行了归纳评述,重点对CO算法的特性及建模方法进行了研究,针对三种不同的耦合系统类型,提出契合的CO建模方法,推动CO建模向规范化发展;针对一类特殊优化问题,对CO算法提出了改进,并在某散货船水动力学性能设计优化中获得了富有成效的应用;(2)论述了多学科设计优化对性能分析评估方法的新要求,首次开展了面向多学科设计优化应用的船舶水动力学性能分析方法的研究和模块开发,涵盖从低速到中高速范围内常规水面船舶的快速性、耐波性和操纵性分析,为船舶水动力学性能的多学科设计优化创造基础和条件,也为常规性能分析和优化设计提供高效工具;(3)构建了基于CO算法的船舶水动力学性能MDO模型,成功的实现了某散货船和高速舰船的水动力学性能的综合优化,各学科性能的到均衡提升,平均最大提升幅度分别超过了20%和7%;但学科优化模型越细致、越全面,耦合关系越复杂,分析计算的代价越大,MDO过程实现也越困难,反映出现阶段更适合于开展概念设计阶段的MDO应用研究;(4)论述了在设计中考虑不确定性对提高产品质量的重要性,对不确定性的概念内涵、表达及分析方法进行了研究,重点对可靠性和稳健性设计方法进行了深入的剖析,并在散货船水动力学性能优化实例中开展了应用研究,获得了更加可靠、稳健的最优解,约束的可靠度由确定性最优解时的50%提高到可靠性最优解的98%,目标性能的最大波动幅度减小5%。为进一步的深化研究积累了经验和提供了参考。
[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%.
【学位授予单位】：中国舰船研究院
【学位级别】：博士
【学位授予年份】：2017
【分类号】：U661.1
，

本文编号：1688035