复合材料科学与工程 ›› 2022, Vol. 0 ›› Issue (12): 17-23.DOI: 10.19936/j.cnki.2096-8000.20221228.002

• 基础研究 • 上一篇    下一篇

平纹编织面板蜂窝夹芯结构侧压强度的可靠性与灵敏度分析

田静1, 邹润文1, 王轩1*, 张峰2   

  1. 1.中国民航大学 航空工程学院,天津300300;
    2.西北工业大学 力学与土木建筑学院,西安710072
  • 收稿日期:2021-10-22 发布日期:2023-02-03
  • 通讯作者: 王轩(1982-)男,博士,副教授,主要从事复合材料结构适航与维修方面的研究,xuwangaero@163.com。
  • 作者简介:田静(1972-)女,博士,教授,主要从事飞机结构维修方面的研究。
  • 基金资助:
    航空科学基金(ASFC-201918067011);天津市科技计划项目(20YDTPJC00380)

Reliability and sensitivity analysis of edgewise compressive strength for plain woven faceplate honeycomb sandwich structure

TIAN Jing1, ZOU Run-wen1, WANG Xuan1*, ZHANG Feng2   

  1. 1. School of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;
    2. School of Mechanics and Civil Architecture, Northwestern Polytechnical University, Xi′an 710072, China
  • Received:2021-10-22 Published:2023-02-03

摘要: 以平纹编织面板蜂窝夹芯结构作为研究对象,通过建立渐进损伤失效分析模型,研究参数的随机性对结构侧压强度的影响。首先通过有限元分析得到随机输入样本对应的输出响应,基于Kriging方法建立代理模型,采用基于蒙特卡洛的可靠性分析法进行结构可靠性分析,利用基于方差和基于失效概率的灵敏度分析法进行结构灵敏度分析,计算得到结构的可靠度指标与结构各力学性能参数和厚度的灵敏度指标,为结构的可靠性优化设计提供依据。

关键词: 平纹编织, 蜂窝夹芯结构, 侧压强度, 可靠性分析, 灵敏度分析

Abstract: For plain woven faceplate honeycomb sandwich structure, the progressive damage failure analysis model is established to study the influence of the randomness of parameters on the lateral compressive strength. Firstly, the output responses corresponding to random input samples are obtained by the use of finite element analysis, and the surrogate model is established by Kriging method. The reliability analysis method based on Monte Carlo is applied for structural reliability analysis, and the sensitivity analysis methods based on variance and failure probability is respectively used for structural sensitivity analysis. The structural reliability index, the sensitivity index of the mechanical properties and thickness are computed, which provides a basis for the structural reliability optimization design.

Key words: plain woven, honeycomb sandwich structure, edgewise compression, reliability analysis, sensitivity analysis

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