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大方形系数低速船艉部线型多目标优化设计

         

摘要

Following the develop trends on ship hulls design optimization, a new approach of hull stern design is presented. Automatic design optimization of hull stern is realized with integrating CFD codes, optimization algorithms and geometry modification techniques. An application example of the approach for a 6600DWT bulk carrier hull optimization is demonstrated. In the procedure, FFD method is chosen to automatically modify the geometry of hull stern, and the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is adopted for exploring design space. Objective function, total resistance and uniformity of wake field are assessed with RANS codes. Optimization results of the bulk carrier show that the decrease of residual resistance is significant at the design speed, with a reduction of about 10.3%. This is a large improvement in resistance performance of bulk carriers, with small modifications allowed and initial good performance provided for the original hull.%本文结合船型设计技术的最新发展动态,将高精度CFD数值评估技术与优化理论及船体几何自动重构技术相整合,建立了“以精细数值评估优化为特征”的船型设计方法。以阻力性能优异的6600DWT 散货船作为优化设计对象,总阻力和桨盘面流场品质作为目标函数,采用多目标粒子群优化算法(MOPSO)、FFD几何重构方法对船艉线型进行了自动优化设计。结果表明:在满足工程约束条件的情况下,6600DWT散货船优华设计方案阻力的收益较为显著,其中一个优方案在尾部流场质量改善的情况下,剩余阻力减小了10.3%。

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