基于单元级损伤指标的纤维增强复合材料层合板损伤识别方法
Damage identification method for fiber-reinforced composite laminates based on element-level damage indicators
石庆贺 1杨颖 1孙伟 2王昊 1胡可军1
作者信息
- 1. 江苏理工学院 材料工程学院,常州 213001
- 2. 中国航空研究院,北京 100000
- 折叠
摘要
本文针对复合材料层合板结构提出了一种能够综合反映其承载能力缺失的单元级损伤指标-层合单元损伤指标,该指标既可以反映层合板面内外方向刚度的损伤情况,又具有参数数量较少、较易识别的优点.为保证所提损伤指标的合理性,本文利用数学和力学算子对单元级损伤指标与材料级损伤指标进行了等效,并比较了不同损伤指标在表征损伤程度之间的差异性.并提出了基于单元级损伤参数的复合材料结构损伤识别流程,即首先利用单元应变能差值指标对损伤单元进行筛选,然后利用优化方法对候选单元的损伤程度进行辨识.本文所提方法通过数值算例和一个试验进行了验证,分析了单元级损伤参数各个元素之间的相关性,并验证了基于单元级损伤参数的复合材料层合板结构损伤识别流程.本文的研究成果补充了现有复合材料结构健康监测理论.
Abstract
An element-level damage index,damage index of laminated element,was proposed for composite laminate structures that can comprehensively reflect the degradation of load-bearing capacity,which can reflect the damage of stiffness in both internal and external directions and has the advantages of fewer parameters and easier identification.In order to ensure the rationality of the proposed damage index,mathematical and mechanical operators was used to equate the element-level damage index with the material-level damage index,and the differences between different damage indexes in characterizing the degree of damage were compared.The damage identification process of composite structures based on element-level damage parameters was also proposed,i.e.,the damage elements were firstly screened by using modal strain energy change ratio,and then the damage degree of the candidate elements was identified by using optimization methods.The proposed method was validated by numerical examples and an experiment work,and the correlation between the elements of the element-level damage parameters was analyzed and the damage identification process of the composite laminate structure based on the element-level damage parameters was validated.The results of this paper complement the existing theory of health monitoring of composite structures.
关键词
复合材料/损伤识别/单元级损伤参数/层合板结构/优化/损伤定位Key words
composite material/damage identification/element-level damage parameters/laminate structure/optimization/damage location引用本文复制引用
基金项目
国家自然科学基金(12102156)
国家自然科学基金(52205157)
国家重点研发计划(2020YFB1506703)
江苏省(校)研究生实践创新计划项目(XSJCX23_61)
出版年
2024
NETL
NSTL
万方数据