基于船舶-流场耦合作用的内河航段船舶航行虚拟辅助驾引OA北大核心CSTPCD
Virtually aided ship navigation on typical inland river route based on fluid-structure interaction simulation
[目的]为进一步提高船舶航行的安全性,对船舶辅助驾驶决策相关内容开展研究.[方法]针对选取的两段内河典型航段,基于实时数字航道流场信息,考虑航行规则约束,模拟船舶-流场耦合作用下的复杂流场航段虚拟辅助驾引.模拟南京和东流航段的虚拟辅助驾引,给出相应的安全驾驶方案,在航行过程中对船舶速度、位置和航向等信息进行实时追踪.[结果]仿真结果表明,基于Fluent二次开发的船舶-流场耦合作用的算法可有效解决船舶多自由度运动耦合和船舶-流场多物理场耦合的解耦问题;遇见弯道或分汊时,操小舵角长距离航行可以在避免降速和较大横移的同时实现船舶的安全航行.[结论]该算法可以有效对接数字航道流场信息,开展复杂流场环境下内河航段船舶航行的过程模拟,结果可为内河航段船舶智能航行决策提供数据支撑.
[Objective]In order to improve the safety of ship navigation,this study focuses on virtually aided ship navigation strategies.[Methods]Two different inland river routes are chosen for the simulation of virtually aided ship navigation models based on the fluid-structure interaction mechanism,while taking the navigation rules and flow details of the rivers into consideration.The simulation of the ship sailing process on a typical inland river route under specific current conditions provides the corresponding virtually aided naviga-tion plan in which the ship's velocity,location and course are obtained in a timely manner.[Results]It is found that the simulation method established on the basis of Fluent can be used to solve the problems of multi-degree-of-freedom motion and fluid-structure interaction.When sailing through bends or branches,steering with a small rudder angle over long distances ensures safe navigation and prevents speed reduction and signi-ficant lateral displacement.[Conclusion]The proposed method can be effectively combined with the flow field information of digital channels to simulate the ship sailing process,thereby providing data support for the decision-making of intelligent navigation on inland river routes.
谭昆;郭涛;宋成果;苗洋;初秀民;吴卫国;张磊
长江航道规划设计研究院,湖北 武汉 430040武汉理工大学 绿色智能江海直达船舶与邮轮游艇研究中心,湖北 武汉 430063||绿色智能江海直达船舶湖北省工程研究中心,湖北 武汉 430063武汉理工大学 智能交通系统研究中心,湖北 武汉 430063
交通运输
智能船舶虚拟辅助驾引流体-船舶运动耦合内河航段
intelligent shipvirtually aided ship navigationfluid-structure interactioninland waterway
《中国舰船研究》 2024 (002)
71-80 / 10
海南省科技计划三亚崖州湾科技城联合资助项目(2021JJLH0035);中央高校基本科研业务费专项资金资助项目(223173001)
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