| 注册
首页|期刊导航|水道港口|风浪流作用下系泊油船的水动力响应预测研究

风浪流作用下系泊油船的水动力响应预测研究

孙庆峰 冒睿雯 侯红婷 李金宣 王学谦 杨效禹 陈中方

水道港口2025,Vol.46Issue(3):367-375,9.
水道港口2025,Vol.46Issue(3):367-375,9.

风浪流作用下系泊油船的水动力响应预测研究

Prediction of hydrodynamic response of moored oil tanker under wind-wave-flow

孙庆峰 1冒睿雯 2侯红婷 3李金宣 3王学谦 1杨效禹 2陈中方2

作者信息

  • 1. 山东港源管道物流有限公司,烟台 264000
  • 2. 海博泰科技(青岛)有限公司,青岛 266000
  • 3. 大连理工大学 海岸与海洋工程全国重点实验室,大连 116024
  • 折叠

摘要

Abstract

The hydrodynamic response of mooring ships under the action of wind,waves,and current is influenced in ship operation and docking.Port operation efficiency and ship safety can be enhanced by accurate and reliable prediction of hydrodynamic response.In this paper,the hydrodynamic response of three different sizes of ships was systematically investigated by a numerical model under the influence of wind,waves,and current,and a database containing more than 1 600 sets of hydrodynamic response data was established.An artificial neural network with three hidden layers was developed using the BP neural network backpropagation algorithm,with nine key parameters affecting ship response incorporated in the input layer:ship type,loading condition,wave height and period,wave direction,wind speed and direction,and current speed and direction,for predicting the six-degree-of-freedom motions,the mooring line forces,and the fender forces of mooring oil tankers.It is demonstrated that the multi-parameter BP neural network can provide high-accuracy predictions,which can be utilized as data support for the ship's active collision avoidance system.

关键词

系泊船/水动力响应/BP神经网络模型/MIKE 21/六自由度

Key words

mooring ship/hydrodynamic response/BP neural network models/MIKE 21/six-degree-of-freedom motion

分类

交通工程

引用本文复制引用

孙庆峰,冒睿雯,侯红婷,李金宣,王学谦,杨效禹,陈中方..风浪流作用下系泊油船的水动力响应预测研究[J].水道港口,2025,46(3):367-375,9.

基金项目

辽宁省自然科学基金项目(2021-KF-16-05) (2021-KF-16-05)

水道港口

1005-8443

访问量0
|
下载量0
段落导航相关论文