大型绞吸挖泥船阻力预报的设置方法  

Setting Method of Resistance Prediction for Large Cutter Suction Dredge

在线阅读下载全文

作  者:陈超[1,2] 余欣[2] 王有江 陈新权[2] 何炎平[2] CHEN Chao;YU Xin;WANG Youjiang;CHEN Xinquan;HE Yanping(Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China;Design Institute of Ship and Ocean Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区:[1]上海交通大学海洋智能装备与系统教育部重点实验室,上海200240 [2]上海交通大学船舶与海洋工程设计研究所,上海200240

出  处:《中国造船》2024年第3期265-275,共11页Shipbuilding of China

基  金:国家自然科学基金青年科学基金项目(52301377);上海市自然科学基金资助项目(23ZR1433800);中央高校基本科研业务专项资金资助。

摘  要:绞吸挖泥船具有船体肥大、艏艉设有大型开槽等特征,与常规船型有显著区别。这增加了阻力预报的难度。为探究更为精确的阻力预报设置,论文以一艘性能经过船模试验验证的大型绞吸挖泥船为研究对象,基于STAR-CCM+软件,采用SST k-ω和Realizable k-ε两种湍流模型,在y^(+)=1和y^(+)=50两种条件下进行了静水阻力预报计算。结果表明:在y^(+)=1的条件下计算得到的阻力预报结果相较于y^(+)=50条件下的精度提高了约6%,采用SST k-ω模型计算得到的结果相较于Realizable k-ε模型提高约4%。本研究成果将为自航式绞吸挖泥船的阻力预报提供可靠的参考依据。The cutter suction dredger is characterized by its bulky hull and large grooves designed at the bow and stern,which significantly differ from conventional ship designs.These unique features increase the difficulty of resistance prediction,rendering traditional resistance prediction methods insufficient or inapplicable.In order to explore more accurate resistance prediction settings,this paper focuses on a large-scale cutter suction dredger validated through ship model testing.Utilizing STAR-CCM+,two turbulence models,SST k-ω and Realizable k-ε,were employed to conduct calculations of still-water resistance prediction under the conditions of y^(+)=1 and y^(+)=50.The results show that the resistance prediction accuracy under the condition of y^(+)=1 is improved by approximately 6%compared to that under y^(+)=50,and the results by using the SST k-ω model exhibit a 4% improvement over the Realizable k-c model.The research provides a reliable reference for accurate resistance prediction of self-propelled cutter suction dredgers.

关 键 词:绞吸挖泥船 阻力预报 计算流体力学 

分 类 号:U661.311[交通运输工程—船舶及航道工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象