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面向多任务的船舶舱室布局区间优化设计研究

Optimal Design of a Ship Multitasking Cabin Layout Based on the Interval Optimization Method
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摘要 Searching for the optimal cabin layout plan is an efective way to improve the efciency of the overall design and reduce a ship’s operation costs.The multitasking states of a ship involve several statuses when facing diferent missions during a voyage,such as the status of the marine supply and emergency escape.The human fow and logistics between cabins will change as the state changes.An ideal cabin layout plan,which is directly impacted by the above-mentioned factors,can meet the diferent requirements of several statuses to a higher degree.Inevitable deviations exist in the quantifcation of human fow and logistics.Moreover,uncontrollability is present in the fow situation during actual operations.The coupling of these deviations and uncontrollability shows typical uncertainties,which must be considered in the design process.Thus,it is important to integrate the demands of the human fow and logistics in multiple states into an uncertainty parameter scheme.This research considers the uncertainties of adjacent and circulating strengths obtained after quantifying the human fow and logistics.Interval numbers are used to integrate them,a two-layer nested system of interval optimization is introduced,and diferent optimization algorithms are substituted for solving calculations.The comparison and analysis of the calculation results with deterministic optimization show that the conclusions obtained can provide feasible guidance for cabin layout scheme.
作者 李浩男 侯远杭 陈伟 於菟 胡玉龙 熊冶平 Haonan Li;Yuanhang Hou;Wei Chen;Tu Yu;Yulong Hu;Yeping Xiong(Naval Architecture and Ocean Engineering College,DalianMaritime University,Dalian 116026,China;Faculty of Engineering and Physical Sciences,Universityof Southampton,Boldrewood Innovation Campus,Southampton SO167QF,UK;China Ship Development and Design Center,Wuhan 430000,China)
出处 《Journal of Marine Science and Application》 CSCD 2021年第4期723-734,共12页 船舶与海洋工程学报(英文版)
基金 the National Natural Science Foundation of China under Grant No.51879023.
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