摘要
在对型材的尺寸进行优化时,可将腹板和面板尺寸作为设计变量并取离散值。由于设计变量规模较大,且共同结构规范(CSR)的描述性要求较为繁琐,若采用全局优化算法对剖面构件的尺寸进行优化,迭代过程中不可行解的数量较多,寻优效率较低。为提高优化效率,以型材规格作为设计变量,根据型材腹板和面板的尺寸取值范围自动生成型材库,根据型材的截面属性和长细比要求对型材库进行筛选,供后续的构件优化使用。建立基于型材库的构件优化流程,并以某超大型油船(VLCC)为例,开展局部构件优化,优化效率能提升70%以上。选取多型油船和散货船,开展中横剖面构件尺寸优化,结果表明,基于型材库的优化方法适于进行实船结构优化,具有工程实用性。
The scantlings of web plate and face plate are usually set as discrete design variables for stiffener optimization. Due to the large scale of design variables and the complicated prescriptive requirements in Common Structural Rules(CSR), if the global optimization algorithm is used to optimize the size of section members, the number of infeasible solutions is very large, and the optimization efficiency is low during the iteration process by global optimization algorithms. To improve the efficiency of optimization, the stiffener scantling is set as a whole design variable. Stiffener database is automatically established based on the value range of stiffener web plate and face plate scantlings, and filtered according to the section properties and slenderness ratio requirements of profiles, the profile library is screened for subsequent optimization of components. Based on profile library, a more efficient optimization procedure is established and validated by the case of a local scantling optimization of very Large Crude Carrier(VLCC), optimization efficiency can be improved by more than 70%. Mid-ship section structure scantling optimization of typical oil tankers and bulk carriers are carried out. Optimization results show that the optimization method based on stiffener database is applicable to engineering.
作者
王元
吴嘉蒙
WANG Yuan;WU Jiameng(Shanghai Key Laboratory of Ship Engineering,Marine Design and Research Institute of China,Shanghai 200011,China)
出处
《船舶工程》
CSCD
北大核心
2022年第12期9-14,共6页
Ship Engineering
关键词
型材库
油船
散货船
中横剖面
尺寸优化
共同结构规范(CSR)
stiffener database
oil tanker
bulk carrier
mid-ship section
scantling optimization
Common Structural Rules(CSR)
