沥青船主尺度要素统计分析  

Statistical analysis of principal dimension elements of asphalt carriers

作　　者：张秋萍 金庭宇 姚文 黄光兵 ZHANG Qiuping;JIN Tingyu;YAO Wen;HUANG Guangbing

机构地区：[1]中船澄西船舶修造有限公司,江苏江阴214433 [2]大连理工大学船舶工程学院,辽宁大连116024

出　　处：《中国修船》2022年第5期59-62,72,共5页China Shiprepair

摘　　要：沥青船主尺度要素决定了其技术经济性能,如载质量、货舱容量、总布置、操纵性以及造价等。主尺度的确定是沥青船船型方案设计的重要内容。文章在分析21世纪新建成服役的沥青船特点的前提下,搜集整理了世界范围内沥青船的主尺度要素资料。通过单变量回归、多元回归和BP神经网络方法建立沥青船主尺度要素的数学模型,并对回归结果进行实船验证。所得模型对沥青船方案设计的主尺度预测和载质量估算提供了参考依据。The principal dimension elements determine the technical and economic characteristics of asphalt carriers,such as deadweight,the capacity of the cargo hold,general arrangement,maneuverability,and cost.The determination of the principal dimension constitutes an important factor in designing asphalt carriers.Therefore,this paper analyzes the characteristics of commissioned asphalt carriers built in the 21st century and sorts out data of global asphalt carriers’principal dimension elements.Through single variable regression,multiple regression,and BP neural network,the mathematic model of asphalt carriers’principal dimensional elements is established,and regression results are verified by actual practice.The model provides a reference for forecasting principal dimensions and estimating the deadweight of designed asphalt carriers.

关 键 词：沥青船 主尺度确定 回归分析 敏感性 BP神经网络 

分 类 号：P661.33[天文地球—地质学]