中国舰船研究2018，Vol.13Issue(2)：51-59,9.DOI:10.3969/j.issn.1673-3185.2018.02.007
潜艇破冰上浮近场动力学模型
Peridynamic model for submarine surfacing through ice
摘要
Abstract
[Objectives]With deepening research on the geographical and climatic environment of the Arctic,the political and military value of submarines in the region has been well recognized.Although the thick ice in the Arctic provides natural protection for submarines,it also poses a risk to submarines during the ice surfacing process. A method for accurately predicting the ice surfacing process and transient ice loads can be the most important issue in the design of submarine shells and choice of ice thickness. [Methods]In this paper,a numerical method for dealing with the submarine and ice contact problem is developed. First,the peridynamic theory on the capture of material fractures is briefly introduced and the feasibility of peridynamics in modeling the ice failure problem is discussed. To reflect the physical reality of submarine-ice interaction,a contact detection algorithm is established to prevent the interpenetration of the submarine surface and ice material particles,and a method for calculating the contact load is introduced. Finally,based on peridynamics and the contact detection algorithm,a numerical program for predicting submarine-ice interaction is compiled. Using the DARPA SUBOFF submarine model,the ice surfacing process of a submarine is simulated.[Results]The results show that this method can vividly capture the ice failure process,which corresponds to observations of the ice surfacing process of American nuclear submarines,and the dynamic ice load can be calculated over time.[Conclusions]This method provides new concepts in the study of submarine-ice interaction,and its results support the optimal shell structure design of arctic submarines.关键词
潜艇/破冰上浮/近场动力学/动态特性/冰载荷Key words
submarine/icebreaking surfacing/peridynamics/dynamic behavior/ice load分类
交通工程引用本文复制引用
叶礼裕,王超,郭春雨,常欣..潜艇破冰上浮近场动力学模型[J].中国舰船研究,2018,13(2):51-59,9.基金项目
国防基础科研计划资助项目(JCKY2016604B001) （JCKY2016604B001）
国家自然科学基金资助项目(51679052) （51679052）
