基于信号响应分析模型的金属结构损伤导波检出概率

王莉1,2,杨宇2,刘国强2,王霞光2,李嘉欣2,任一鹏2

振动与冲击 ›› 2024, Vol. 43 ›› Issue (2) : 32-41.

PDF(2844 KB)
PDF(2844 KB)
振动与冲击 ›› 2024, Vol. 43 ›› Issue (2) : 32-41.
论文

基于信号响应分析模型的金属结构损伤导波检出概率

  • 王莉1,2,杨宇2,刘国强2,王霞光2,李嘉欣2,任一鹏2
作者信息 +

Probability of detection of cracks in metal structures using guided wave based on a signal response analysis model

  • WANG Li1,2,YANG Yu2,LIU Guoqiang2,WANG Xiaguang2,LI Jiaxin2,REN Yipeng2
Author information +
文章历史 +

摘要

飞机结构损伤导波在线监测技术作为一种新颖的无损检测手段,为了真正实现该技术在结构运营维护过程中的视情维护,必须明确其结构损伤检出概率,以指导结构检查维修方案的制定。本文提出了一种基于信号响应分析模型的结构损伤导波检出概率计算方法,该方法通过构建在线导波监测信号的损伤指数与裂纹长度间的对应关系,得到结构损伤检出概率的统计计算模型,并分析了拟合参数的不确定性对计算模型的影响,构建了不同置信度下的导波检出概率计算模型。通过开展金属开孔和搭接结构疲劳裂纹导波监测试验,验证了该方法的有效性。试验结果表明,损伤指数类型、对应关系拟合函数和传感器监测方案均对结构损伤导波检出概率具有影响,且在95%置信度90%检出概率下金属开孔和搭接结构的可检裂纹长度分别约为2.6 mm和9.5 mm。

Abstract

In order to realize the condition-based maintenance and formulate the inspection and maintenance scheme during the service, probability of detection (POD) for guided wave damage monitoring technology must be clarified, as a new nondestructive testing method. This paper presents a novel POD computation method for guided wave based on signal response analysis model. First, the statistical computation model of POD is obtained by establishing the mapping relationship between the damage features of online response guided waves and fatigue crack. Then, by analyzing the quantitative effect of uncertainties of fitting parameters on the statistical computation model, POD computation models under different confident levels are obtained. The proposed method is validated on fatigue cracks monitoring experiments on metal center-hole and lap specimens. The results show that damage features, fitting functions and transducers monitoring schemes all have effects on POD, and the detectable crack length under 95% confidence level and 90% detection probability for center-hole and lap metal structures are about 2.6 mm and 9.5 mm.

关键词

结构健康监测 / 导波 / 检出概率 / 金属 / 疲劳裂纹

Key words

structural health monitoring / guided waves / probability of detection(POD) / metal / fatigue crack

引用本文

导出引用
王莉1,2,杨宇2,刘国强2,王霞光2,李嘉欣2,任一鹏2. 基于信号响应分析模型的金属结构损伤导波检出概率[J]. 振动与冲击, 2024, 43(2): 32-41
WANG Li1,2,YANG Yu2,LIU Guoqiang2,WANG Xiaguang2,LI Jiaxin2,REN Yipeng2. Probability of detection of cracks in metal structures using guided wave based on a signal response analysis model[J]. Journal of Vibration and Shock, 2024, 43(2): 32-41

参考文献

[1] 崔德刚,鲍蕊,张睿,等.飞机结构疲劳与结构完整性发展综述[J]. 航空学报,2021, 42(5): 524394. ZHANG De-gang, BAO Rui, ZHANG Rui, et al. Development of aircraft structural fatigue and structural integrity:Review[J]. Acta Aeronautica et Astronautica Sinica, 2021, 42(5): 524394. [2] 孙侠生,苏少普,孙汉斌,等. 国外航空疲劳研究现状及展望[J].航空学报,2021,42(5):52479. SUN Xia-sheng, SU Shao-pu, SUN Han-bin, et al. Current status and prospect of overseas research on aeronautical fatigue[J]. Acta Aeronautica et Astronautica Sinica, 2021, 42(5): 52479. [3] 郑晓玲.民用飞机结构耐久性与损伤容限设计手册(上 册):疲劳设计与分析[M]. 北京:航空工业出版社, 2003. ZHENG Xiao-ling. Design manual of durability and damage tolerance of civil aircraft structure(V01.1): Fatigue design and analysis[M]. Beijing: Aviation Industry Press, 2003. [4] 王远达, 梁永胜, 王宏伟. 飞机结构的耐久性与损伤容限设计[J]. 飞机设计, 2009, 29(1): 37-43. WANG Yuan-da, LIANG Yong-sheng, WANG Hong-wei. Design of Durability and Damage Tolerance for Aircraft Structure[J]. Aircraft Design, 2009, 29(1): 37-43. [5] 孙侠生, 肖迎春. 飞机结构健康监测技术与挑战[J]. 航空学报, 2014, 35(12): 3199-3212. SUN Xia-sheng, XIAO Ying-chun. Opportunity and challenges of aircraft structural health monitoring[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(12): 3199-3212. [6] MIL-HDBK-1823. Non-destructive evaluation system reliability assessment, 1999. [7] Berger, U. Onboard–SHM for life time prediction and damage detection on aircraft structure using fibre optical sensor and Lamb wave technology. 6th European Workshop on Structural Health Monitoring-Tu.2.A.1. [8] Derriso M M, McCurry C D, Kabban M.S. A novel approach for implementing structural health monitoring systems for aerospace structures[J]. Structural Health Monitoring (SHM) in Aerospace Structures. 2016, 33-56. [9] Boller C. Next generation structural health monitoring and its integration into aircraft design[J]. International Journal of Systems Science,2000, 31(11): 1333-1349. [10] Kale A A, Haftka R T, Sankar B V. Tradeoff of structural weight and inspection cost in reliability based optimization using multiple inspection types[J]. 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2004, New York. [11] Nan Yue, Aliabadi M H. Hierarchical approach for uncertainty quantification and reliability assessment of guided wave based structural health monitoring. Structural Health Monitoring, 2020, 00(0): 1-26. [12] Aldrin C, Knopp J S, Sabbagh H A. Bayesiam methods in probability of detection in structural health monitoring[M]. Advanced Structural Damage Detection from Theory to Engineering Application. John Wiley&Snons, LTD, 2013, 57-72. [13] Smith K, Thompson B, Meeker B, et al. Model-assisted probability of detection validation for immersion ultrasonic application[J]. AIP Conference Proceedings, 2007, 26, 1816-1822. [14] 薛景川, 刘秀丽. 航空结构无损检测裂纹检出概率曲线手册[M]. 中国航空科学技术研究院, 2002. XUAN Jing-chuan, LIU Xiu-li. Handbook of crack probability of detection curve for nondestructive testing for aeronautical structures[M]. Chinese Aeronautical Science and Technology establishment, 2002. [15] David S F. Structural health monitoring and probability of detection estimation[J]. 42nd Annual Review of Progress in Quantitative Nondestructive Evaluation, AIP Conference Proceeding, 2000, 1706, 1-6. [16] 刘晓同. 基于SHM的接头结构损伤检测概率试验研究[J]. 江苏科技信息, 2018, 19: 43-45. LIU Xiao-tong. Experimental research of POD of a joint structure based on SHM[J]. Jiangsu Science&Technology Information, 2018, 19: 43-45. [17] Christine M S, Brandon M G, Martin R D, et al. The probability of detection for structural health monitoring systems: Repeated measures data[J]. Structural Health Monitoring, 2015, 14(3): 252-264. [18] Monaco E, Memmolo V, Ricci F, et al. Guided waves based SHM systems for composites structural elements: statistical analyses finalized at probability of detection definition and assessment[J]. Health Monitoring of Structural and Biological Systems, 2015. [19]LI Ming, Meeker W Q. Physical model-assisted probability of detection of flaws in titanium forgings using ultrasonic nondestructive evaluation[J]. Technometrics, 2014, 56(1): 78-91. [20]CHANG Fu-kuo, Lonkar K, Kopsaftopoutlos F, et al. Quantification of SHM[J]. In FAA SHM Reliability Workshop, Cambridge MA, 2015, 14-15. [21]杨宇, 王莉, 刘国强, 等. 一种基于导波的复合材料层合板冲击损伤识别率确定方法[J]. 纤维复合材料, 2020, 3: 40-46. YANG Yu, WANG Li, LIU guo-qiang. POD of impact damage detection of composites laminates based on guided wave[J]. Fiber Composites, 2020, 3: 40-46. [22] Soejima H K, Takahashi K Y, Okabe Y N, et al. Investigation of the probability of detection of our SHM system[J]. 6th European Workshop on Structural Health Monitoring-Fr.2.A.4. [23] Francesco F, NAN Yue, Raffaella D S, et al. Probability of detection, localization, and sizing: the evolution of reliability metrics in structural health monitoring[J]. Structural Health Monitoring, 2022, 21(6): 2990-3017. [24] 马书义, 武湛君, 刘科海, 等. 非轴对称多元载荷条件下管道中纵向模态导波激励[J]. 振动与冲击, 2015, 34(4): 90-97. MA Shu-yi, WU Zhan-jun, LIU Ke-hai, et al. Longitudinal guided waves in pipes excited by non-axisymmetric multielement surface loading[J]. Journal of Vibration and Shock, 2015, 34(4): 90-97. [25] Llias N G, Zahra S K, Aliabadi M H. An up-scaling temperature compensation framework for guided wave–based structural health monitoring in large composite structures[J]. Structural Health Monitoring, 2022, 00(0): 1-22. [26] WU Zhan-jun, LIU Ke-hai, WANG Yi-shou, et al. Validation and evaluation of damage identification using probability-based diagnostic imaging on a stiffened composite panel[J]. Journal of Intelligent Material Systems and Structures, 2015, 26(16): 2181-2195.

PDF(2844 KB)

1298

Accesses

0

Citation

Detail

段落导航
相关文章

/