概率不确定性条件下复合材料的反演设计

玻璃钢/复合材料 ›› 2019, Vol. 0 ›› Issue (7): 11-15.

概率不确定性条件下复合材料的反演设计

宋述芳, 王卓群

西北工业大学航空学院,西安710072

收稿日期:2018-10-15 出版日期:2019-07-28 发布日期:2019-07-28
作者简介:宋述芳(1982-),女,副教授,博士,主要从事飞行器可靠性工程、多学科优化设计方面的研究,shufangsong@nwpu.edu.cn。
基金资助:
国家自然科学基金项目(NSFC51308459);中央高校基本科研业务费(310201401JCQ01014,3102015BJ(Ⅱ)CG0009)

THE INVERSE DESIGN FOR COMPOSITE LAMINATES BASED ON RANDOM UNCERTAINTY

SONG Shu-fang, WANG Zhuo-qun

School of Aeronautics, Northwestern Polytechnical University, Xi′an 710072, China

Received:2018-10-15 Online:2019-07-28 Published:2019-07-28

摘要/Abstract

摘要： 反演设计是一种全新的现代设计方法,将其用于复合材料层合板的设计可以提供强有力的理论支撑。本文分别考虑复合材料的力学行为是确定性量和不确定性量的情况,基于有限元分析或试验数据,采用先进的GMDH-NN方法获取模型的输入-输出关系,随后遗传算法用于复合材料弹性常数的逆模拟及优化求解。通过算例证明了所提的反演设计方法能够较准确地获得复合材料层合板的工程弹性常数,具有工程应用价值。

关键词: 反演设计, 复合材料层合板, GMDH-NN算法, 遗传算法, 弹性常数

Abstract: The inverse design is a novel modern design method, and it can provide strong theoretical support for the composite design. In this paper, the structural mechanical behaviors of composite laminates are considered as deterministic and uncertainty responses, respectively. On the basis of the finite element method (FEM) or experimental data, the advanced Group Method of Data Handling-Neural Network (GMDH-NN) algorithm is used to construct the relationship between input variables and output responses, and the genetic algorithm (GA) is employed in the optimization process of inverse simulation for the composite laminates. Furthermore, several examples are given to show that the presented methods are reliable and feasible in application to gain the elastic constants, which is of great significance in practical engineering.

Key words: inverse design, composite laminates, Group Method of Data Handling-Neural Network (GMDH-NN), genetic algorithm (GA), elastic constants

中图分类号:

TB332

宋述芳, 王卓群. 概率不确定性条件下复合材料的反演设计[J]. 玻璃钢/复合材料, 2019, 0(7): 11-15.

SONG Shu-fang, WANG Zhuo-qun. THE INVERSE DESIGN FOR COMPOSITE LAMINATES BASED ON RANDOM UNCERTAINTY[J]. Fiber Reinforced Plastics/Composites, 2019, 0(7): 11-15.

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