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Multi-objective optimization of semi-submersible platforms using particle swam optimization algorithm based on surrogate model

机译:基于替代模型的粒子群算法在半潜式平台多目标优化中的应用

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摘要

An Innovative Semi-submersible platform Optimization Program (ISOP) has been developed to solve the multi-objective optimization problem for semi-submersible platforms (SEMI). Three types of SEMIs, including semi-submersible floating production unit (SEMI FPU), heave and vortex induced motion (VIM) suppressed semi-submersible (HVS) and semi-submersible floating drilling unit (SEMI FDU) are selected for case studies. The hydrodynamic performances of three types of semi-submersible platforms are analyzed by using panel method and Morison's equation. In order to improve the computing efficiency, the hydrodynamic performances for different hull forms during optimization process are estimated by the surrogate models, which are built by artificial neural network prediction method and Inverse Multi-Quadric (IMQ) radial basis function (RBF). The accuracy of surrogate models is ensured by performing leave-one-out cross validation (LOOCV). The most probable maximum (MPM) heave motion and total weight, representing the safety and economy, respectively, are chosen as the two objectives for optimization. The transverse metacentric height, the MPM surge motion, and the most probable minimum (MPMin) airgap are selected as constraints. Based on surrogate models, multi-objective particle swarm optimization (MOPSO) is employed to search for the Pareto-optimal solutions. A Computational Fluid Dynamics (CFD) tool is adopted to validate the proposed model for the prediction of the motion responses. By comparing the obtained Pareto-optimal solutions with the initial design using simple panel method plus Morison's equation, it is confirmed that the MPM heave motions for SEMI FPU, HVS and SEMI FDU can be suppressed by up to 12.68%, 11.92%, and 14.96%, respectively, and the total weights can be reduced by up to 12.16%, 13.00%, and 24.91%, respectively. Through the detailed analyses of optimization results, the most efficient design strategies for semi-submersible platforms are discussed and proposed.
机译:为了解决半潜水平台(SEMI)的多目标优化问题,已开发了创新的半潜水平台优化程序(ISOP)。案例研究选择了三种类型的SEMI,包括半潜式浮式生产装置(SEMI FPU),升沉和涡激运动(VIM)抑制式半潜式(HVS)和半潜式浮式钻井装置(SEMI FDU)。利用面板法和莫里森方程对三种类型的半潜式平台的水动力性能进行了分析。为了提高计算效率,利用人工神经网络预测方法和IMQ径向基函数RBF建立了替代模型,对优化过程中不同船体形式的水动力性能进行了估算。通过执行留一法交叉验证(LOOCV),可以确保代理模型的准确性。选择分别代表安全性和经济性的最可能的最大(MPM)升沉运动和总重量作为优化的两个目标。选择横向准中心高度,MPM喘振运动和最可能的最小(MPMin)气隙作为约束。基于替代模型,采用多目标粒子群算法(MOPSO)搜索帕累托最优解。采用计算流体动力学(CFD)工具来验证所提出的模型,以预测运动响应。通过将获得的帕累托最优解与使用简单面板方法加上Morison方程的初始设计进行比较,可以确定SEMI FPU,HVS和SEMI FDU的MPM升沉运动可以抑制多达12.68%,11.92%和14.96重量分别减少了%,总重量最多可分别减少12.16%,13.00%和24.91%。通过对优化结果的详细分析,讨论并提出了半潜水平台最有效的设计策略。

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  • 来源
    《Ocean Engineering》 |2019年第15期|388-409|共22页
  • 作者单位

    Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China|Collaborat Innovat Ctr Adv Ship & Deep Sea Explor, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China|Collaborat Innovat Ctr Adv Ship & Deep Sea Explor, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China|Collaborat Innovat Ctr Adv Ship & Deep Sea Explor, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China|Collaborat Innovat Ctr Adv Ship & Deep Sea Explor, Shanghai 200240, Peoples R China;

    Univ Strathclyde, Dept Naval Architecture Ocean & Marine Engn, Glasgow G4 0LZ, Lanark, Scotland;

    Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China|Collaborat Innovat Ctr Adv Ship & Deep Sea Explor, Shanghai 200240, Peoples R China;

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