摘要
飞机结构健康监控研究中,应用自然环境激励方法采集实际工况数据,进行实时在线的监控研究,具有重要的应用价值。基于随机振动理论、虚拟激励原理,利用Fluent软件模拟风洞试验得到飞行环境激励谱数据,应用Ansys软件,以机翼结构作为研究对象,在模态分析的基础上进行随机振动的压力PSD(power spectral density)分析;利用结构随机振动响应的互相关函数幅值向量CorV(correlation function amplitude vector)进行损伤检测的原理,采用互相关函数幅值向量置信度准则CVAC(the cross correlation function amplitude vector assurance criterion)来度量机翼结构有无损伤及损伤程度和位置。结果表明:该方法及数据处理能较好地显示机翼损伤状况,从而确定以飞行载荷激励作为环境激励,实现飞机结构健康监控的可靠性和有效性。
In the research of flight vehicle structural health monitoring systems, the online structural heahh monitoring under the natural excitation has important practical application value. Based on the random vibration theory, pseudo excitation method and the excitation spectrum in the flight environment extracted by Fluent software, the pseudo-random responses of the wing is calculated by the harmonic response analysis of Ansys. The CorV （correlation function amplitude vector）of the intact and damaged structm＇e is served as damage indicator. The value of CVAC （ the cross correlation function amplitude vector assurance criterion） is used to determinate whether the damage has happened or not, and to measure the damage degree and position. The example results show that the method could detect the damage effectively. Then the method realizes the online structure health monitoring under the natural excitation with the reliability and effectiveness.
出处
《机械强度》
CAS
CSCD
北大核心
2014年第5期779-783,共5页
Journal of Mechanical Strength
基金
国家自然科学基金(50805132)
教育部博士点基金(200803380001)
浙江省重点科技创新团队(2010R50005)项目资助~~
关键词
结构健康监测
自然环境激励
虚拟激励技术
随机振动
损伤检测
Structure health monitoring
Nature excitation
Pseudo-excitation method
Random vibration
Damage detection
