摘要
基于径向基函数(RBF)神经网络提出一种全船结构载荷平衡调整计算方法,根据不同载况下重力的合力与合力矩计算船舶在平衡状态下的吃水、纵倾角和横倾角。在PATRAN中使用PCL编制辅助计算插件,利用MATLAB神经网络工具箱实现平衡浮态的自动计算。以3条典型船舶在静水、迎浪中拱和迎浪中垂等工况下的载荷平衡调整为例,验证该方法的正确性。
Based on RBF neural network,a load equilibrium adjustment method for the whole ship structure is proposed.The draft,trim angle and heel angle under ship equilibrium condition are calculated by the resultant force and resultant moment of gravity under different loading conditions.The auxiliary computing plug-in compiled with PCL and MATLAB neural network toolbox is used to realize automatic calculation of equilibrium floating state.In order to verify the correctness of the method,the equilibrium floating state of three typical vessels in static water,head waves hog and sag are taken as examples.
作者
袁磊
张少雄
卞泽坤
吴熙
YUAN Lei;ZHANG Shaoxiong;BIAN Zekun;WU Xi(Wuhan University of Technology,School of Transportation,Wuhan 430063,China;Wuhan University of Technology,High Performance Marine Technology Key Laboratory,Ministry of Education,Wuhan 430063,China)
出处
《船舶工程》
CSCD
北大核心
2019年第6期39-42,110,共5页
Ship Engineering
基金
国家自然科学基金项目资助(51679177)
关键词
结构载荷
平衡调整
直接计算
RBF神经网络
structure load
equilibrium adjustment
direct calculation
RBF neural network
