锚泊辅助动力定位研究与进展

  目的  为优化布锚夹角并满足锚泊线的强度要求，提出一种计算锚泊系统静回复力的方法。  方法  使用该方法，研究布锚夹角对平台静回复力、艏向变化及锚泊线受力均匀程度的影响。利用改进的遗传算法，优化布锚夹角，并从2个方面提高算法精度：一是通过对3种因素（静回复力大小、静回复力对扰动方向的敏感程度、锚泊线的受力均匀程度）的影响分析人为生成初始种群；二是结合自适应算法加强局部搜索能力。  结果  结果显示，改进后的遗传算法拥有更高的优化精度，把优化后的结果反馈给锚泊系统受力模型，可降低锚泊线对破坏强度的要求。  结论  所做研究可为锚泊系统布锚夹角及锚泊线材质的选择提供参考。

Review of the research on thruster assisted position mooring system

  Objectives  In this paper, a method for calculating the static restoring force of a mooring system is proposed in order to optimize the mooring angle and meet the strength requirements of mooring lines.  Methods  Using this method, a study is conducted on the influence of the mooring angle on the static restoring force and heading of the platform, and the tension uniformity of all mooring lines. An improved Genetic Algorithm (GA) is used to optimize the mooring angle, and the accuracy of the algorithm is enhanced in two ways:the first is that it can generate the initial population artificially by analyzing the influence of three factors(value of static restoring force, sensitivity of static restoring force to interference direction, and tension uniformity of all mooring lines); the second is that it strengthens the local search ability by combining an adaptive algorithm.  Results  The results show that the improved genetic algorithm has a higher optimization accuracy. The optimized results are fed back to the tension model of the mooring system, and the breaking strength requirements of the mooring lines are appropriately reduced.  Conclusions  This research can provide valuable references for mooring layout design and the material selection of mooring lines.