高速单体船航行性能综合优化的遗传混沌算法

建立高速单体船航行性能综合优化的数学模型，将遗传算法和混沌算法复合构造一种改进的遗传混沌算法，并将其应用于高速单体船航行性能综合优化计算问题，利用界面友好的VC＋＋软件编程。优化结果表明，该遗传混沌算法计算可靠、效率高。并为设计综合性能优良的高速单体船船型准备了良好的基础条件。     

高速单体船航行性能综合优化的遗传混沌算法

建立高速单体船航行性能综合优化的数学模型,将遗传算法和混沌算法复合构造一种改进的遗传混沌算法,并将其应用于高速单体船航行性能综合优化计算问题,利用界面友好的VC 软件编程.优化结果表明,该遗传混沌算法计算可靠、效率高.并为设计综合性能优良的高速单体船船型准备了良好的基础条件.     

高速单体无人艇航行性能综合优化设计

对高速单体无人艇的航行性能进行综合优化设计分析.首先建立单体无人艇的优化数学模型;其次基于遗传算法开发了一套高速单体无人艇航行性能综合优化的计算程序;最后讨论了优化稳定代数,分析总目标函数随航速和排水量变化的曲线,探讨不同权重分配对总目标函数值的影响.通过大量计算,说明该程序稳定可靠,为高速单体无人艇初步设计提供了一个参考平台.     

吃水受限的内河大型船舶航行性能综合优化方法研究

建立吃水受限的内河大型船舶航行性能综合优化的数学模型,又基于并行算法和遗传算法思想,构造了一种分层并行遗传算法,对于吃水受限的内河大型船舶航行性能综合优化问题进行了一般遗传算法、并行遗传算法和两层及三层并行遗传算法的大量优化计算,结果表明,该分层并行遗传算法计算可靠、效率高,为设计综合性能优良的内河船船型准备了良好的基础条件。     

内河大型船舶快速性能及结构力学特性综合优化方法研究

建立了内河大型船舶快速性能及结构力学特性综合优化的数学模型,基于并行算法、遗传算法和分层思想,构造了一种基于敏感变量分段的分层并行遗传复合算法,并将其应用于求解此类综合优化计算问题.对于内河大型船舶快速性能及结构力学特性综合优化问题,进行了遗传算法或并行遗传算法及其分层并行遗传算法的大量优化计算,结果表明:该复合算法不但能有效地克服遗传算法的早熟问题,而且计算可靠、效率高;为内河大型船舶设计方案的综合评估及综合优化船型设计准备了前提条件.     

粘性和航行姿态对高速船运动预报的影响

发展了基于二维半理论的预报排水型单体船在波浪上的水动力特征及运动性能的方法。采用横向流方法对常规高速排水型单体船所受的粘性影响进行修正。在考虑粘性影响和航行姿态的条件下,对NPL系列单体船和SER IES64单体船型的运动性能作了理论预报,并与船模试验结果和势流理论预报结果作了比较。结果表明:考虑粘性影响能够在一定程度上降低高速常规排水型船舶运动预报的峰值,而航行姿态对其影响不大。     

基于高速单体无人艇航行性能的并行优化方法

基于高速单体无人艇航行性能建立包括快速性、操纵性和耐波性的综合优化数学模型,构造混合的遗传混沌算法(GAPCA)和混沌遗传算法(PCAGA),并编制相关软件对该模型进行综合优化计算,探讨混合算法和单一算法(遗传算法(GA)和混沌算法(CA))优化性能的优劣,同时研究二次载波搜索域区间比例和区间并行次数对优化效率的影响,得到遗传混沌优化算法和混沌遗传优化算法相比单一优化算法寻优效率高,不同算法对应于不同的最佳二次区间搜索比例。     

可调长度高速三体船的概念及水动力研究

文章提出了一种新型高速三体船,阐述了它的优点及其应用前景。以DTMB5415为基础,构造了高速三体船型,并设计了8种布置情况,然后利用CFD对高速三体船的八种布置情况和单体船匀速航行时候的水动力性能进行了计算,并分析了不同布置情况下的兴波干扰情况和阻力性能,得出高速三体船的最佳布置方案,单位排水量的阻力下降约32%。     

基于遗传算法的船舶推进系统船、机、桨匹配云平台设计

随着海上运输业的蓬勃发展,船舶的航行速度、吨位和功率不断增长,船机桨匹配越来越受到造船业的重视。船机桨之间的完美匹配有利于提高推进系统的功率和航行速度,降低船舶油耗,增加航行时间。本文在分析船舶航行过程中船体阻力特性和螺旋桨推进特性的基础上,设计船机桨匹配设计方案,建立合适的目标函数,并利用遗传算法进行船机桨参数优化计算。实验结果表明,遗传算法计算精度高,收敛速度快。     

高速单体船快速性和操纵性综合优化混沌算法

以高速单体船为研究对象,通过了综合论证及分析,建立了以快速性和操纵性为目标函数的综合优化数学模型。以MATLAB6.5为工作平台,应用变尺度混沌优化算法,编制了优化程序,并对高速单体船快速性和操纵性的仿真模型进行在线优化。优化结果表明:变尺度混沌算法对高速单体船快速性和操纵性综合优化是有效且可行的。     

Energy efficiency optimization analysis of fuel cell/lithium battery hybrid ship based on whale optimization algorithm北大核心CSCD

[目的]为提升船舶的能源利用率,对多因素影响下的燃料电池/锂电池混合动力船舶能效优化方法进行分析。[方法]基于Matlab/Simulink仿真建模软件,建立对象船舶的能效仿真模型,研究通航环境要素对船舶能效的影响。考虑动力源特性和船舶功率需求,提出基于模糊逻辑的功率分配策略,以优化系统能量流动。然后在此基础上,以系统总能耗最低为优化目标,建立考虑多因素的船舶航速非线性优化模型,采用鲸鱼优化算法开展优化模型动态寻优,并进行不同航行方法和航行时间约束下的能效优化分析。[结果]结果显示,在总航行时间不变的情况下,采用所提的考虑多因素的船舶能效优化方法可以降低船舶5.04%的总能耗和13.16%的燃料电池氢气总消耗。[结论]所述方法对船舶节能减排具有积极的作用,同时对提高船舶续航力和经济性具有重要意义。     

Multi-objective topology and size optimization of high-speed vehicle-passenger catamaran structure by genetic algorithm

Ship structural design has become recently an ever more important and difficult task, because it should always take into account several estimation criteria which are a crucial element of shipyard management, as the hull structural strength is one of the most important factors of overall ship safety, and the total cost of structural materials used for the construction of a ship is a significant part of her total construction cost. Simultaneously, a complete definition of the optimal structural design requires a formulation of size-topology-shape-material optimization task unifying the optimization problems from these four areas and giving an effective solution of this problem. So far, a significant progress towards a solution of this problem has not been achieved. An objective of the underlying paper was to develop an evolutionary algorithm for multi-objective optimization of both topology and scantlings of structural elements of large spatial sections of ships. In the paper an evolutionary algorithm where selection takes place based on the scalar objective function is proposed and applied to solve the problem of structural elements weight and cleaned and painted surface area on a high-speed vehicle-passenger catamaran structure with several design variables, such as plate thickness, scantlings of longitudinal stiffeners and transverse frames, and spacing between longitudinal and transversal members. The results of numerical experiments with the use of the developed algorithm are presented. They show that the proposed genetic algorithm can be an efficient multi-objective optimization tool for simultaneous design of the topology and sizing of ship structures.     

绿色能源双体无人艇艇型综合优化分析

为了实现绿色能源双体无人艇的艇型最优设计,本文对艇型设计的多目标策略和智能优化算法进行研究。首先综合考虑太阳能和风帆以及快速性、操纵性、耐波性和抗倾覆性四大性能对艇型设计的影响,建立综合优化数学模型;然后基于遗传算法改编的综合优化设计软件确定总目标函数最优情况下的遗传次数、种群规模、变异概率和交叉概率;最后采用外部分层策略对遗传算法结合粒子群和混沌算法,进行了混合算法的比较分析。结果表明,相比于单一遗传算法,混合算法的优化效果更好,且在不同载波概率情况下,遗传算法+粒子群算法的优化效果均为最佳,外部分层策略可以有效提高寻优效果。     

基于Friendship的高速客船特征参数灵敏度分析

对某高速客船利用Friendship全参数化建模软件和SHIPFLOW流体计算软件,在进行多航速的船体艏部兴波阻力优化时,需要将特征参数作为设计变量.通过Sobol优化算法对特征参数的灵敏度进行分析,剔除不灵敏的特征参数,可有效地降低设计空间的维数,从而提高计算效率,节约时间和成本.研究结果具有一定的工程实用价值.     

基于全参数化建模的高速客船型线优化设计

以某型高速客船为研究对象。采用CAESES FRIENDSHIP-Framework软件进行全参数化建模,对初始模型采用SHIPFLOW软件进行兴波阻力计算,将计算结果与船模试验结果进行对比,以验证计算的可靠性。采用Sobol算法进行特征参数的灵敏度计算,以有效降低设计空间维数,提高计算效率。建立多航速优化模型,完成船体艏部兴波阻力优化。结果表明,优化模型的兴波阻力在多航速下较初始模型均明显降低,研究结果具有一定的工程实用价值。     

支持向量机和遗传算法组合策略的VLCC船中结构优化设计(英文)

In this paper a hybrid process of modeling and optimization,which integrates a support vector machine(SVM) and genetic algorithm(GA),was introduced to reduce the high time cost in structural optimization of ships.SVM,which is rooted in statistical learning theory and an approximate implementation of the method of structural risk minimization,can provide a good generalization performance in metamodeling the input-output relationship of real problems and consequently cuts down on high time cost in the analysis of real problems,such as FEM analysis.The GA,as a powerful optimization technique,possesses remarkable advantages for the problems that can hardly be optimized with common gradient-based optimization methods,which makes it suitable for optimizing models built by SVM.Based on the SVM-GA strategy,optimization of structural scantlings in the midship of a very large crude carrier(VLCC) ship was carried out according to the direct strength assessment method in common structural rules(CSR),which eventually demonstrates the high efficiency of SVM-GA in optimizing the ship structural scantlings under heavy computational complexity.The time cost of this optimization with SVM-GA has been sharply reduced,many more loops have been processed within a small amount of time and the design has been improved remarkably.     

破片侵彻作用下的波纹夹层板横舱壁结构响应分析

主流大型舰船的横舱壁结构以加筋板型式为主,但加筋板受制于其单层结构特点,较难提出新的设计。设计一种波纹夹层板,将其应用于大型舰船的横舱壁结构。采用有限元软件建立简化数值模型,研究在高速破片侵彻作用下的波纹夹层板横舱壁结构动态响应和破坏机理,并与传统单层加筋板横舱壁结构进行比较。结果表明,应用波纹夹层板,横舱壁结构的抗侵彻性能有明显提升。     

某大型豪华邮轮蒸汽系统蒸汽环网管径仿真优化研究

大型豪华邮轮的仿真和优化对于大型邮轮的设计具有重要意义.文章以某大型豪华邮轮蒸汽系统为研究对象,在分析该系统设计特点的基础上,利用流体仿真软件Flowmaster搭建该系统仿真模型并进行了仿真计算、分析和优化设计.研究结果表明:原设计方案下,船尾蒸汽管网蒸汽干度较低;通过优化船尾蒸汽环网管道管径,实现了船尾蒸汽平均干度...     

Verification and validation study of URANS simulations for an axial waterjet propelled large high-speed ship

The accurate prediction of waterjet propulsion using computational fluid dynamics (CFD) is of interest for performance analyses of existing waterjet designs as well as for improvement and design optimization of new waterjet propulsion systems for high-speed marine vehicles. The present work is performed for three main purposes: (1) to investigate the capability of a URANS flow solver, CFDSHIP-IOWA, for the accurate simulation of waterjet propelled ships, including waterjet–hull interactions; (2) to carry out detailed verification and validation (V&V) analysis; and (3) to identify optimization opportunities for intake duct shape design. A concentrated effort is applied to V&V work and performance analysis of waterjet propelled simulations which form the focus of this paper. The joint high speed sealift design (JHSS), which is a design concept for very large high-speed ships operating at transit speeds of at least 36 knots using four axial flow waterjets, is selected as the initial geometry for the current work and subsequent optimization study. For self-propelled simulations, the ship accelerates until the resistance equals the prescribed thrust and added tow force, and converges to the self propulsion point (SPP). Quantitative V&V studies are performed on both barehull and waterjet appended designs, with corresponding experimental fluid dynamics (EFD) data from 1/34 scale model testing. Uncertainty assessments are performed on iterative convergence and grid size. As a result, the total resistance coefficient for the barehull case and SPP for the waterjet propelled case are validated at the average uncertainty intervals of 7.0 and 1.1%D, respectively. Predictions of CFD computations capture the general trend of resistance over the speed range of 18–42 knots, and show reasonable agreement with EFD with average errors of 1.8 and 8.0%D for the barehull and waterjet cases, respectively. Furthermore, results show that URANS is able to accurately predict the major propulsion related features such as volume flow rate, inlet wake fraction, and net jet thrust with an accuracy of ~9%D. The flow feature details inside the duct and interference of the exit jets are qualitatively well-predicted as well. It is found that there are significant losses in inlet efficiency over the speed range; hence, one objective for subsequent optimization studies could be maximizing the inlet efficiency. Overall, the V&V work indicates that the present approach is an efficient tool for predicting the performance of waterjet propelled JHSS ships and paves the way for future optimization work. The main objective of the optimization will be reduction of powering requirements by increasing the inlet efficiency through modification of intake duct shape.