首页> 外文会议>ASME International Conference on Ocean, Offshore and Arctic Engineering >MULTIDISCIPLINARY OPTIMIZATION DESIGN FOR SECTION LAYOUT OF COMPLEX UMBILICAL CABLES BASED ON INTELLIGENT ALGORITHM
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MULTIDISCIPLINARY OPTIMIZATION DESIGN FOR SECTION LAYOUT OF COMPLEX UMBILICAL CABLES BASED ON INTELLIGENT ALGORITHM

机译:基于智能算法的复杂脐带电缆段布局的多学科优化设计

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Umbilical which links the top floater and the subsea devices provides control functions through electrical cables and hydraulic remote transmission. They are treated as the "lifeline" of the subsea production system for offshore oil and gas exploitation. During operation, umbilical needs to undertake self-weight and periodical load due to the ocean environment. Meanwhile, the heat during power transmission in electric cable is released to the umbilical body, which influences the mechanical properties and optical transmission in the cable. However, there are a number of components and many kinds of sectional arrangement for the umbilical. So the sectional design with multiple components needs to be solved as a multidisciplinary optimization problem. From the mechanical point of view, the umbilical structure should be designed with more compacted and symmetric layout to obtain even probability of resistance to loads and reduce structural stress to improve its fatigue performance. Concerning thermal effect, these units should be arranged to dissipate the heat easily to avoid the influence on the functional and structural components. In this paper, compactedness, symmetry and temperature distribution are quantified through introducing corresponding indices. Then multidisciplinary optimization framework is established. Particle Swarm Optimization (PSO) intelligent algorithm is adopted to carry out the optimization to obtain the optimal solution, which is far superior to the initial design. The optimization design strategy is proved to be effective and efficient by some numerical examples, which provides reference for design of umbilical cables.
机译:链接顶部浮动和海底设备的脐带通过电缆和液压远程传输提供控制功能。它们被视为海底石油和天然气剥削海底生产系统的“生命线”。在运行期间,脐带需要由于海洋环境而进行自我重量和期刊负荷。同时,电缆中电力传输期间的热量释放到脐部,这影响了电缆中的机械性能和光学传输。然而,脐带有许多部件和多种剖面布置。因此,具有多个组件的分段设计需要解决作为多学科优化问题。从机械的角度来看,脐带结构应设计具有更加压实和对称的布局,以获得抵抗负载的概率并降低结构应力以提高其疲劳性能。关于热效果,应安排这些单元以容易地消散热量以避免对功能和结构部件的影响。在本文中,通过引入相应的指标来量化压缩性,对称性和温度分布。然后建立多学科优化框架。采用粒子群优化(PSO)智能算法进行优化以获得最佳解决方案,远远优于初始设计。通过一些数值示例证明了优化设计策略是有效和有效的,这为脐带的设计提供了参考。

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