利用流动引起的环境噪声对螺栓连接松动进行被动检测

IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL Mechanical Systems and Signal Processing Pub Date : 2024-11-12 DOI:10.1016/j.ymssp.2024.112110
Boyu Cai, Qihang Qin, Xun Wang, Jing Lin
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引用次数: 0

摘要

螺栓连接通常用于航空结构中。螺栓松动可能带来严重的安全风险,对其进行在线监测对结构和航空安全具有重要意义。有源导波检测方法可以准确识别螺栓的松紧状态。然而,主动导波的激励需要大型和重型设备,如波形发生器和功率放大器,而飞机的轻量化设计往往不允许使用这些设备。研究发现,随机超声导波可通过气流与机身的耦合作用被动激发,携带丰富的结构健康信息,在飞机结构被动在线检测方面具有巨大潜力。本文计算了两个无源接收器测量到的随机导波之间的交叉相关函数,从而确定了波在螺栓连接结构中的传播路径以及沿每条路径穿过螺栓的波能量,并以此评估螺栓的紧固性。实验室和风洞实验表明,由于气流与机身结构的相互作用,可以激发出宽带随机超声导波,由此提出的方法可以有效地识别多个螺栓的松紧度。
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Passive detection of bolt joint looseness using flow-induced ambient noise
Bolt joints are commonly used in aviation structures. Bolt looseness may pose serious safety risks and its online monitoring is of great importance to structure and air safety. Active guided wave detection methods can accurately identify the tightness status of bolts. However, the excitation of active guided waves requires big and heavy equipment, such as waveform generators and power amplifiers, which are often not allowed due to the lightweight design of aircraft. It is found that random ultrasonic guided waves can be passively excited by the coupling between airflow and airframe, which carries rich structural health information and has great potential for passive online detection of aircraft structure. In this paper, the cross-correlation function between random guided waves measured by two passive receivers is computed to identify the wave propagation paths in a bolt joint structure and the wave energy along each path passing through a bolt, by which the bolt tightness is assessed. Laboratory and wind tunnel experiments show that a broadband random ultrasonic guided wave can be excited due to the interaction of airflow with an airframe structure, from which the proposed method can efficiently identify the looseness of multiple bolts.
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来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
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