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为实现船厂三维工艺布局方案的快速生成,开发船厂工艺快速布局工具2.0。在该工具的开发中,应用参数化建模技术实现模型的参数化创建和数据关联;应用编码技术创建标准化模型构件库,实现建模程序对模型构件库的快速调用。经实际工程项目测试,该工具可完成车间厂房、生产加工设备、船坞与码头等设施的快速布局功能。该工具可显著提升船厂的规划设计质量与效率,具有较大的应用价值。 相似文献
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随着半潜式平台的大型化发展,平台生活楼开始参与平台总体变形,在角隅等不连续位置易产生应力集中现象,从而影响平台结构安全。为改善生活楼与主平台甲板连接角隅处的应力集中问题,本文分析了影响生活楼与甲板连接区域危险的波浪工况及应力水平;在应力集中区域,设置连接肘板,并对肘板的尺寸和形状进行参数化建模,基于领域培植遗传算法进行多目标优化求解,分析不同权重比下的优化结果;结合规范要求的典型设计波工况,对优化后的肘板在不同工况下的应力集中改善效果进行评价。本文的相关的优化流程和分析方法可为海洋平台局部结构的优化设计提供一定的参考 相似文献
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为使编制的计划具有良好的可执行性,利用虚拟仿真技术建模和优化,对编制的计划作出预测评估和可行性分析。通过Plant simulation仿真工具,参照车间实际布局,从车间层到单元设备,逐层次建模,根据设计输出BOM所确定的中间产品物量及工艺流向,结合场地资源、设备资源和劳动力资源等约束条件,把船厂生产信息完整的映射到仿真平台。通过仿真所得到的可视化分析结果,利用GA遗传算法优化仿真结果,评价计划编制的合理性和可执行,为计划编制提供基于可动态实时调整的参考方案。 相似文献
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讨论在虚拟设计和信息化条件下推进船厂管件生产流程重组、车间布局优化、作业计划信息化、工程并行等先进的现代生产管理模式,提出实行管工车间流程再造的办法,以达到降低生产成本、提高质量及速度等目标。 相似文献
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遗传算法的改进及其在超大型油船结构优化中的应用 总被引:1,自引:0,他引:1
遗传算法是一种基于适者生存理念的随机搜索算法,它具有极强的全局搜索能力,且不需要知道问题的导数信息.然而,简单遗传算法局部搜索能力差以及易于早熟.文章编制了一种基于实数编码的适用于连续型变量的遗传算法,比较适合于多峰函数的全局寻优,且对之略作改进,也可用于离散型变量优化.采用大量经典数学测试函数对该遗传算法的优化能力进行测试,取得了很好的优化结果.在此基础上,选用经典10杆桁架结构对该算法的寻优能力进行了验证.最后,以一艘超大型油船的典型中横剖面作为研究对象,选取396个设计变量,所有变量在优化过程中都进行了离散化处理,应用JTP规范[1]作为校核依据,采用该遗传算法进行优化设计.经过优化后,船中剖面面积下降了2.6%. 相似文献
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分析钢板入库作业流程及堆放原则,建立钢板入库决策模型,以优化堆场空间利用率及电磁吊行驶时间为目标,针对该问题寻优过程的复杂性特征,采用遗传模拟退火算法求解。与传统人工决策方案相比,该优化结果可以提高堆场利用率,缩短入出库作业时间。 相似文献
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基于均匀法的风雨载荷下折叠式舱口盖拓扑优化设计研究 总被引:1,自引:0,他引:1
本文以48500DWT散货船舱口盖为研究对象,提出改变传统折叠式舱口盖设计方法,引入拓扑优化的方法对舱口盖横梁腹板、纵桁腹板进行优化设计。通过ANSYS模拟仿真分析,找出最佳力传递路径的结构布置形式,根据优化结果提取节点信息,经过对拓扑优化后的模型进行二次优化,完善了拓扑优化的结果,使其材料布局形式更合理,研究结果表明,基于均匀法的拓扑优化方法运用于折叠式舱口盖的设计中,可改善舱口盖横梁腹板、纵桁腹板结构,保证其强度并且达到轻量化设计的目的,为舱口盖横梁腹板、纵桁腹板的结构设计提供参考依据。 相似文献
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Marine umbilical provides the remote control function for offshore oil and gas exploitation, which is usually integrated by different functional components that vary widely in their mechanical properties. Under the action of external load, unreasonable cross-sectional layouts may lead to large cross-sectional deformation and contact pressure between components thus affecting the service life of an umbilical. Therefore, how to design the cross-sectional layout is a very necessary research work in order to improve service life of the umbilical to withstand various loads during operation. At present, the research on the cross-sectional layout of an umbilical is not sufficient, and there is no standardized design method in the design specification. Considering the mechanical and geometrical properties as the quantitative design objectives, the mathematical optimization model of the cross-sectional layout of an umbilical is proposed. Meanwhile, the layering strategy is introduced because of the processing and manufacturing factors.Then, the genetic algorithm (GA) with good global search performance and the generalized Lagrange multiplier (GLM) with fast convergence speed are combined to solve the above model. Finally, taking an umbilical as an example, the optimal cross-sectional layout is obtained and the effectiveness of the algorithm is verified by the numerical simulation. The results show that the optimization method proposed in this paper can quickly obtain the optimal design cross-sectional layout, and supply a specific way for the fast design of an umbilical, which has the certain engineering application value. 相似文献
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With the gradual implementation of offshore wind energy production, the future tendency is to expand into the deeper water. The jacket foundations will take the place of the present monopile foundations when the water depth increases. The foundations account for the majority of the construction cost for offshore wind farms, and the structural optimization of jackets will bring lucrative economic benefits. Structural optimization is a complex iterative process that requires huge computing costs. Therefore, this paper proposes a structural optimization method based on surrogate models to solve this problem effectively and swiftly obtain optimized design schemes of lightweight jackets for offshore wind turbines. The structural responses of jacket wind turbine systems under the equivalent static extreme loads with a recurrence period of 50 years are mainly considered in structural optimization design, and the key optimization variables of jackets are determined by parameter sensitivity analysis. The finite element models of jackets are transformed into surrogate models, and the genetic algorithm is employed to optimize the surrogate models directly. The optimized jackets are additionally verified through coupled dynamic analysis, besides, buckling strength and fatigue life are also checked. And local refined optimizations are carried out for the failure members. According to the optimized design schemes of lightweight jackets for 30 m, 50 m and 70 m water depths, it is demonstrated that the structural optimization design method is adequate and efficient for jackets of wind turbines. Parameter sensitivity analysis can cut the number of optimization variables in half to improve the optimization efficiency. Furthermore, the application of surrogate models can significantly speed up the optimization process by saving about 98.61% of the original time consumed. The optimization design method of the jackets for offshore wind turbines proposed in this paper is suitable for practical engineering, with high precision and efficiency. 相似文献
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货油系统作为FPSO最重要的系统之一,一旦出现故障,会使整个海上油田的生产作业陷入停顿或瘫痪的状态,将造成巨大的经济损失,对其进行应力分析,指导管系布置十分必要。本文以30万吨通用型FPSO货油系统为研究对象,应用CAESARII管道应力分析软件建立分析模型,考虑极端工况的加速度、船体变形和风载荷等,对其管系一次应力、二次应力和泵口载荷进行了分析,并对管系的布置进行了优化,提高了管系布置的效率和准确性,为FPSO其他管路系统及其他船型的管系布置提供参考依据。 相似文献