基于动态风浪环境的我国近海船舶避台航线优化
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摘要
为提高船舶避台的安全性和经济性,提出基于动态规划算法的船舶避台航线优化模型。选取一个对我国近海船舶航行安全造成严重影响的台风天气过程作为研究对象,以我国近海一艘实际运营的散货船的典型航线为例,充分考虑船舶在大风浪中的风增阻和波浪增阻及其引起的失速特征,得出台风动态移动过程中的船舶避台航时最短航线。仿真结果表明:优化航线可安全、动态地避开台风的大风浪区。
In order to decide safe and economy route,the typhoon-avoiding optimization model is built based on dynamic programming algorithm.A typhoon,which harmed the offshore navigation safety severely,is picked as the typical condition,and a typical bulk carrier is chosen as the object ship.A typical voyage of the carrier is processed for optimization.The added wind resistance,the added wave resistance and the ship speed loss in the storm conditions are investigated.With the dynamic programming algorithm,the minimum-time route for avoiding typhoon is planed and automatically adjusted with the dynamic wind and wave environment.The simulation tests show that the optimized ship route can safely and dynamically avoid the typhoon storm area.
In order to decide safe and economy route,the typhoon-avoiding optimization model is built based on dynamic programming algorithm.A typhoon,which harmed the offshore navigation safety severely,is picked as the typical condition,and a typical bulk carrier is chosen as the object ship.A typical voyage of the carrier is processed for optimization.The added wind resistance,the added wave resistance and the ship speed loss in the storm conditions are investigated.With the dynamic programming algorithm,the minimum-time route for avoiding typhoon is planed and automatically adjusted with the dynamic wind and wave environment.The simulation tests show that the optimized ship route can safely and dynamically avoid the typhoon storm area.
引文
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[3]郭裕芳,马闯关,刘翔飞,等.灾害性天气规避及航行方案选优系统[J].大连海事大学学报,2009,35(4):21-25.
[4]汤青慧,陈戈,刘艳艳.一种智能化的避台航线设计方法[J].中国海洋大学学报,2011,41(6):104-108.
[5]高宗江,张英俊.朱飞祥,等.远洋船舶避台航线设计算法[J].大连海事大学学报,2013,39(1):39-42.
[6]吴金龙,马轲馨,范中洲,等.船舶绕避热带气旋方案效益评估[J].大连海事大学学报,2010,36(2):31-34.
[7]吴金龙,白春江,刘大刚,等.船舶.热带气旋动态标绘系统[J].中国航海,2013,36(2):114-119.
[8]BERTRAM V.Practical Ship Hydrodynamics[M].2nd ed.Oxford:Elsevier Ltd,2012:74-93.
[9]LACS.Standard Wave Data[R].London:International Association of Classification Societies,2001.
[10]BLENDERMANN W.Parameter Identification of Wind Loads on Ships[J].Journal of Wind Engineering and Industrial Aerodynamics,1994,51:339-351.
[11]LIN Y,FANG M,YEUNG R.The Optimization of Ship Weather-Routeing Algorithm Based on the Composite Influence of Multi-Dynamic Elements[J].Applied Ocean Research,2013,43:184-194.
[12]吴沧浦.最优控制的理论与方法[M].北京:国防工业出版社,2013:94-98.
[13]TOLMAN H L.User Manual and System Documentation of WAVEWATCH III Version 3.14[R].NOAA/NWS/NCEP/MMAB,Technical Note 276,2009.
[14]黄立文,张进峰.影响近海船舶航行安全的台风浪数值预报试验[J].中国航海,2005,28(2):52-56.
[2]章文俊,魏淑义,李强,等.使用多源预报确定船舶避台航线的多级决策方法[J].交通运输工程学报,2010,10(3):122-126.
[3]郭裕芳,马闯关,刘翔飞,等.灾害性天气规避及航行方案选优系统[J].大连海事大学学报,2009,35(4):21-25.
[4]汤青慧,陈戈,刘艳艳.一种智能化的避台航线设计方法[J].中国海洋大学学报,2011,41(6):104-108.
[5]高宗江,张英俊.朱飞祥,等.远洋船舶避台航线设计算法[J].大连海事大学学报,2013,39(1):39-42.
[6]吴金龙,马轲馨,范中洲,等.船舶绕避热带气旋方案效益评估[J].大连海事大学学报,2010,36(2):31-34.
[7]吴金龙,白春江,刘大刚,等.船舶.热带气旋动态标绘系统[J].中国航海,2013,36(2):114-119.
[8]BERTRAM V.Practical Ship Hydrodynamics[M].2nd ed.Oxford:Elsevier Ltd,2012:74-93.
[9]LACS.Standard Wave Data[R].London:International Association of Classification Societies,2001.
[10]BLENDERMANN W.Parameter Identification of Wind Loads on Ships[J].Journal of Wind Engineering and Industrial Aerodynamics,1994,51:339-351.
[11]LIN Y,FANG M,YEUNG R.The Optimization of Ship Weather-Routeing Algorithm Based on the Composite Influence of Multi-Dynamic Elements[J].Applied Ocean Research,2013,43:184-194.
[12]吴沧浦.最优控制的理论与方法[M].北京:国防工业出版社,2013:94-98.
[13]TOLMAN H L.User Manual and System Documentation of WAVEWATCH III Version 3.14[R].NOAA/NWS/NCEP/MMAB,Technical Note 276,2009.
[14]黄立文,张进峰.影响近海船舶航行安全的台风浪数值预报试验[J].中国航海,2005,28(2):52-56.