刘书田

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:力学与航空航天学院

学科:工程力学. 计算力学. 航空航天力学与工程

办公地点:综合实验I号楼 512

扫描关注

论文成果

当前位置: 刘书田 >> 科学研究 >> 论文成果

A two-step optimization scheme for maximum stiffness design of laminated plates based on lamination parameters

点击次数:

论文类型:期刊论文

发表时间:2012-12-01

发表刊物:COMPOSITE STRUCTURES

收录刊物:Scopus、SCIE、EI

卷号:94

期号:12

页面范围:3529-3537

ISSN号:0263-8223

关键字:Laminated plates; Maximum stiffness; Simultaneous optimization; Lamination parameters

摘要:The purpose of this paper is to propose an effective solution scheme of simultaneous optimization design of layup configuration and fiber distribution for maximum stiffness design of laminated plates. Firstly, a numerical analysis of the lamination parameters feasible region for a laminated plate consisting of various given number of ply groups (each ply group may have different thickness and all the fibers in one ply group are orientated in an identical direction) is carried out, and it is found that the feasible region based on only a few ply groups is very close to the overall one determined by infinite plies. Therefore, it is suggested that the feasible region of lamination parameters of a laminated plate could be approximately determined by the layup configuration of least ply groups. Secondly, a two-step simultaneous optimization scheme of layup configuration and fiber distribution for maximum stiffness design of laminated plates is proposed. Accordingly, by using ply thickness, fiber orientation angle and fiber volume fraction in a laminated plate of least ply groups as design variables, the optimal lamination parameters for maximum stiffness is obtained. Then, taking the optimal lamination parameters as the design objective, a detailed layup design optimization is implemented by considering some limitations on manufacturing, such as preset ply thickness, and specific fiber orientation angle and a limited maximum number of consecutive plies in the same fiber orientation. Numerical examples are also presented to validate the proposed two-step optimization scheme. (C) 2012 Elsevier Ltd. All rights reserved.