海洋工程装备与技术 ›› 2023, Vol. 10 ›› Issue (3): 132-137.

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缓波型钢悬链立管静态构型多目标粒子群优化分析

贾鲁生1,韦家耀2,艾尚茂2   

  1. 1. 中海油研究总院有限责任公司,北京 100028

    2. 哈尔滨工程大学,黑龙江省 哈尔滨 150009

  • 出版日期:2023-11-03 发布日期:2023-11-03
  • 基金资助:
    中国海油科技项目“陵水半潜式生产平台研究专项”( LSZX-2020-HN-05-0405 ) 

Multi-objective particle swarm optimization analysis on static configuration of steel lazy wave catenary riser

JIA Lusheng1, WEI Jiayao2, AI Shangmao2   

  1. 1. Engineering R&D Dept., CNOOC Research Institute, Beijing 100028, China 2. College of Shipbuilding Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China

  • Online:2023-11-03 Published:2023-11-03

摘要: 缓波型钢悬链立管造价低但设计参数多,寻找其最优设计构型使得受力最小十分必要。在立管水平跨度、悬浮段长度、浮子段长度和浮子段直径参数影响分析的基础上,通过全析因试验设计确定样本点,建立基于悬链线理论的缓波型钢悬链立管静态受力响应面模型,并采用多目标粒子群优化算法求解pareto最优解集,从而获得工程需要的最优方案。对比单目标优化,引入多目标粒子群优化算法能有效地降低悬挂点和触地点处的受力,且寻优能兼顾立管构型悬挂端及触地区受力最小化目标。

关键词: 缓波型钢悬链立管, 响应面模型, 多目标, 粒子群优化

Abstract: The steel lazy wave catenary riser has many design parameters, which is cheerful due to its cheap price, and it is necessary to find the optimal design configuration with minimum stress among various parameters. The riser configuration influences of the horizontal span, suspension length, float length and float diameter are discussed at first. The full factorial design of experiment is used to determine the sample points, and then the static stress response surface model of a lazy wave steel catenary riser is established by using the catenary theory. Finally, the multi-objective particle swarm optimization algorithm is used to solve the pareto optimal solution set, which can be chosen for the optimal riser design in engineering. Comparing with single optimization object, the multi-objective particle swarm optimization algorithm can effectively deal with the minimization optimization for both the hang-off point and the touch-down zone of the riser, and the optimization results show that the force of the riser in the optimal scheme is significantly reduced at hang-off point and touch-down point.

Key words: Steel lazy wave catenary risers, Response surface model, Multiple objective, Particle swarm optimization 

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