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线截面多学科优化设计

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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:连接顶部浮子和海底设备的脐带缆通过电缆和液压远程传输提供控制功能。它们被视为海上油气开采海底生产系统的“生命线”。在操作过程中,由于海洋环境,脐带需要承担自重和周期性的负荷。同时,电缆中的电力传输期间的热量被释放到脐带体,这影响了电缆中的机械性能和光学传输。但是,脐带有许多组件和多种截面布置。因此,需要解决具有多个组件的截面设计作为多学科的优化问题。从机械角度来看,脐带结构应设计得更加紧凑和对称,以获得均匀的抗负载能力并减少结构应力以改善其疲劳性能。关于热效应,这些单元应布置成易于散发热量,以避免对功能和结构组件的影响。本文通过引入相应的指标来量化压实度,对称性和温度分布。然后建立了多学科的优化框架。采用粒子群优化(PSO)智能算法进行优化,得到最优解,远远优于初始设计。数值算例证明了该优化设计策略的有效性和有效性,为脐带电缆的设计提供参考。

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