4.7 Review

A review for numerical simulation methods of ship-ice interaction

期刊

OCEAN ENGINEERING
卷 215, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.oceaneng.2020.107853

关键词

Numerical simulation; Numerical ice tank; Ice loads; Ice-going vessels; ship-ice interaction

资金

  1. National Key Research and Development Program of China [2017YFE0111400]
  2. National Natural Science Foundation of China [51639004, 51579054]
  3. Fundamental Research Funds for the Central Universities [HEUCFP201701]
  4. 111 plans in HEU
  5. Hightech ship Research Project [K24404]

向作者/读者索取更多资源

This paper represents the state-of-the-art in the field of ice tank numerical simulation methods. It gives a comprehensive review of existing commercial and prototype numerical methods in the ship-ice interaction, including aspects such as features, capabilities, and presents a discussion in terms of their characteristics. The numerical simulation techniques are categorized as discrete element method, finite element method, cohesive element method, smoothed particle hydrodynamics method, peridynamics method, lattice Boltzmann method, and some coupled models of these methods, mainly depending on what the numerical methods are implemented to simulate the behavior of ice. One purpose is to classify the chosen methods and evaluate their efficiency and accuracy, and to enable potential readers to quickly grasp the main numerical methods and the development of their applications in the ship-ice interaction scenarios. We assess their practicability and validity from both perspectives of practice and physics and discuss challenges in existing numerical simulation methods. We highlight the significance of interdisciplinary applications for developing the research in fluid-structure interactions. Instead of elaborating on the numerical simulation techniques theoretically, their applications in ship-ice interaction scenarios are focused and presented.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据