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大型油船艏部线型优化

发布时间:2019-02-15 06:53
【摘要】:海上运输被认为是最有效的交通运输方式之一。然而,随着环保意识增强与预期的对碳排放的结构调整,航运业将被要求通过一切手段减少其对环境的影响。国际海事组织制定了自己的规则,要求截止2030年降低航运业30%的碳排放量,因此所有新船将采用(能效设计指数)EEDI,所有运行中的船舶将使用能源效率管理计划("SEEMP")。球鼻艏改造是应对‘'SEEMP"船舶能源效率管理计划关于运营船舶的解决方案之一。随着预期的石油价格的上涨及对碳排放征收重税的引进,目前迫切需要通过优化一些特定的部分如球鼻艏及节能设备,重新设计运行中的船舶,减小船舶阻力,以提高其工作效率。本文对通过优化船体线型减小船舶阻力的方法进行研究。所使用的优化方法,应用了与流体动力(CFD)求解器Shipflow集成一体的Friendship-Framework的CAE平台,该仿真驱动的优化设计可以在广泛的设计变量范围内对船体形状作系列几何变化,达到减少船舶阻力的目的。这个方法的有效性,将由一艘KVLCC2油船的优化结果显示。在球鼻艏优化时,可能出现湿表面面积增加的情况,这导致粘性阻力的增加,但是从船舶总阻力的降低结果可知,使用所化的优策略依然是成功的。基于本设计的实例可见,KVLCC2油船线型优化方法对同类船舶的线型优化有参考价值。为优化船舶线型,减小船舶阻力,采用了三个优化阶段。 (i)船尾部分修改,以产生最佳的新的船体;(ii)对球鼻艏进行参数化优化设计并添加于新的船体(来自于i阶段),优化生成一个新的球鼻艏船型。(iii)最后,使用切线搜索设计引擎(TSearch),根据B样条曲线创建船体型值点的纵向移动,该B样条曲线的顶点被第7章所描述的优化算法控制,实现了对船体型线的优化。优化计算的结果清楚地显示了总阻力减少了2.43%,同时波浪模式表明,发散波已经显著减少。
[Abstract]:Maritime transport is considered to be one of the most effective modes of transportation. However, with increased environmental awareness and expected structural adjustments to carbon emissions, the shipping industry will be required to do everything in its power to reduce its impact on the environment. The International Maritime Organization has its own rules for reducing the shipping industry's carbon emissions by 30% by 2030, so that all new ships will adopt the (Energy efficiency Design Index) EEDI, All ships in operation will use the Energy efficiency Management Plan ("SEEMP"). The bulbous bow modification is one of the solutions to the 'SEEMP' ship energy efficiency management plan. With the expected rise in oil prices and the introduction of heavy taxes on carbon emissions, there is an urgent need to redesign ships in operation by optimizing certain parts, such as bulbous bow and energy-saving equipment, in order to reduce ship resistance. To improve its working efficiency. In this paper, the method of reducing ship resistance by optimizing hull alignment is studied. The CAE platform of Friendship-Framework integrated with hydrodynamic (CFD) solver Shipflow is used in the optimization method. The simulation driven optimization design can make a series of geometric changes to the hull shape in a wide range of design variables. The purpose of reducing ship resistance is achieved. The effectiveness of this method will be demonstrated by the optimization results of a KVLCC2 tanker. When the bulbous bow is optimized, the wet surface area may increase, which leads to the increase of the viscous resistance. However, from the results of the reduction of the total resistance of the ship, it can be seen that the optimized strategy is still successful. Based on the example of this design, it can be seen that KVLCC2 tanker alignment optimization method has reference value for the same ship alignment optimization. In order to optimize ship alignment and reduce ship resistance, three optimization stages are adopted. The (i) stern part is modified to produce the best new hull; (ii) optimizes the bulbous bow and adds it to the new hull (from phase I), optimizes the generation of a new bulbous bow. (iii), and uses the tangent search design engine (TSearch), According to the B-spline curve, the longitudinal movement of the ship body value point is created. The vertex of the B-spline curve is controlled by the optimization algorithm described in Chapter 7, which realizes the optimization of the ship shape line. The results of the optimization calculation clearly show that the total resistance is reduced by 2.43, and the wave model shows that the divergence wave has been significantly reduced.
【学位授予单位】:大连海事大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:U674.133.1

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