摘要
疲劳裂纹是导致航空飞行器结构失效最主要的损伤形式之一,及时、有效地对疲劳裂纹扩展进行在线监测和诊断对保障结构的完整性及安全性具有重要意义。由于实际服役的航空结构往往经历复杂的服役环境和操作条件,这些时变因素相互耦合,容易引起监测信号特征发生明显不确定性变化,严重影响结构损伤诊断的可靠性。针对时变服役条件影响下航空结构损伤的可靠评估,提出一种基于导波健康隐马尔科夫模型(Hidden Markov model,HMM)的结构损伤定量诊断方法。该方法通过HMM模型表征航空结构健康状态下的导波信号特征,采用实时监测导波信号特征与HMM模型的概率迁移关系表示结构损伤状态,实现结构损伤预警及定量诊断。在批量耳片的疲劳裂纹扩展试验中进行方法验证,结果显示损伤预警诊断误差平均值为0.4 mm,损伤定量诊断评估的最大绝对误差平均值为0.9 mm,表明该方法能够及时预警监测结构中疲劳裂纹的产生,同时对裂纹扩展进行可靠的连续定量诊断。
Fatigue crack is one of the most important forms of damage that cause the failure of aircraft structures,and timely and effective online monitoring and diagnosis of fatigue crack propagation is of great significance to ensure the integrity and safety of the structure.Due to the complex service environment and operating conditions,these time-varying factors are coupled with each other,which are easy to cause obvious uncertain changes in the characteristics of monitoring signals,and seriously affect the reliability of structural damage diagnosis.Aiming at the reliable evaluation of aircraft structural damage under the influence of time-varying service conditions,a method of structural damage quantitative diagnosis based on guided wave health Hidden Markov model(HMM)was proposed.In this method,the guided wave signal characteristics under the health state of aircraft structures are characterized by HMM model,and the structural damage state is represented by the probabilistic migration relationship between the real-time monitoring of guided wave signal characteristics and HMM model,so as to realize structural damage warning and quantitative diagnosis.In the batch bolts of fatigue crack propagation experiments verified the method,the results show that the damage to the early warning and diagnosis of average error is 0.4 mm,damage quantitative diagnostic assessment of maximum average absolute error is 0.9 mm,shows that the method can timely early warning and monitoring of fatigue cracks in structure,reliable continuous quantitative diagnosis for the crack extension.
作者
任元强
严嘉慧
袁慎芳
张巾巾
REN Yuanqiang;YAN Jiahui;YUAN Shenfang;ZHANG Jinjin(The State Key Lab of Mechanics and Control of Mechanical Structures,Nanjing University of Aeronautics and Astronautics,Nanjing 210016)
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2024年第16期54-61,共8页
Journal of Mechanical Engineering
基金
国家自然科学基金创新群体(51921003)
国家自然科学基金青年(51905266)
国家自然科学基金面上(52275153)
江苏省自然科学基金青年(BK20190418)
江苏高校优势学科建设工程资助项目。
关键词
结构健康监测
导波
时变条件
损伤定量诊断
隐马尔科夫模型
似然概率
structural health monitoring
guided waves
time-varying conditions
quantitative diagnosis of injuries
hidden Markov model
likelihood probability