童歆, 李靖, 谢彬.基于thincFOAM的滑行艇静水阻力性能数值模拟研究[J].海洋工程,2025,(6):177~187
基于thincFOAM的滑行艇静水阻力性能数值模拟研究
Numerical investigation of planing hulls performance in calm water based on thincFOAM
投稿时间:2024-09-29  
DOI:10.16483/j.issn.1005-9865.2025.06.017
中文关键词:  滑行艇  重叠网格  流固耦合  多相流  静水阻力
英文关键词:planing hulls  overset grid  fluid-structure interaction  multiphase flow  calm water resistance
基金项目:上海市青年科技启明星计划项目(23QA1405000);中央高校基本科研业务费专项资金项目
作者单位
童歆1, 李靖1,2, 谢彬1,2 1.上海交通大学 船舶海洋与建筑工程学院上海 200240
2.上海交通大学 海洋工程全国重点实验室
上海 200240 
摘要点击次数: 78
全文下载次数: 32
中文摘要:
      为研究滑行艇的静水阻力性能,运用重叠网格技术,结合THINC/QQ界面捕捉格式及流体体积(VOF)插值算法,开发了高精度多相流固耦合求解器thincFoam/overset。利用此求解器,对Taunton系列滑行艇在不同体积弗劳德数条件下的静水阻力性能进行预测,并将预测结果与实际物理试验以及其他数值模拟结果进行了比较。研究结果显示,新开发的求解器能够准确地预测滑行艇从排水型转变为滑行航态过程中的动态载荷和运动姿态。当体积弗劳德数为7.12时,采用断阶设计的船底显示出明显优势,与传统设计相比,船体升沉幅值增加了21.7%,同时所受阻力降低了27.2%。研究为滑行艇的静水阻力性能预测提供了有效的数值工具,并深入探讨了船底断阶设计在提升阻力性能方面的作用。
英文摘要:
      To investigate the calm water performance of planing hulls, an advanced multiphase fluid-structure interaction solver, termed thincFoam/overset, was developed. This solver integrates the overset grid method with the THINC/QQ interface-capturing scheme and a novel VOF interpolation algorithm. Using this tool, simulations were conducted on Taunton-series planing hulls under various volumetric Froude numbers. The predicted results were compared with experimental data and other numerical simulations. The findings indicate that the solver can reliably capture the dynamic loads and motion characteristics during the transition from displacement to planing modes. Notably, at a volumetric Froude number of 7.12, the stepped hull design showed clear advantages: heave increased by 21.7%, and resistance decreased by 27.2% compared to conventional designs. This study offers a practical numerical tool for predicting calm water performance of planing hulls and provides insight into the effectiveness of stepped hull designs in enhancing resistance .
查看全文  查看/发表评论  下载PDF阅读器
关闭
水利部交通运输部国家能源局南京水利科学研究院 海洋工程  版权所有
地址: 南京虎踞关34号 邮编:210024 电话:025-85829332 E-mail: oe@nhri.cn
苏ICP备05007122号