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Exploitation of Acoustic Noise Correlation for Structural HealthMonitoring Applications

机译:利用声学噪声相关性进行结构健康监测应用

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摘要

Many recent studies in different domains exploited the ambient noise correlation to retrieve the Green'sfunction between two points. This technique allows a passive characterization of a given medium in the presence of aperfect diffuse field. The aim of this paper is to apply this principle in an aeronautic context. Thus we are looking toexploit the mechanical vibrations in a plane during the flight, to realize a passive structural health monitoring. Indeed, anatural acoustic noise field is produced by engines and aero acoustic effects. That being said, such a field is not spatiallyand temporally perfectly diffused, which yields to imperfect conditions where convergence towards the Green's functionis not ensured. Despite that, in this paper we show that since the obtained information is sensible to the medium state, it isstill exploitable for damage detection. In fact, experimental studies presented in this paper allow verifying two necessaryconditions to the applicability of this technique: the reproducibility of the cross-correlation function, and its potential todetect a defect in the medium. Finally, the influence of the source position on the cross-correlation function is shown.
机译:最近在不同领域的许多研究都利用环境噪声相关性来检索两点之间的格林函数。该技术允许在存在完美扩散场的情况下对给定介质进行被动表征。本文的目的是在航空领域中应用这一原理。因此,我们正在寻求利用飞机在飞行过程中的机械振动,以实现被动结构健康监测。实际上,发动机和航空声学效果会产生自然的噪声场。话虽如此,这样的场在空间和时间上都不是完美地扩散的,这导致不完善的条件,在这些条件下不能确保向格林函数的收敛。尽管如此,在本文中我们表明,由于获得的信息对介质状态敏感,因此仍可用于损伤检测。实际上,本文提出的实验研究允许验证该技术适用性的两个必要条件:互相关函数的可再现性及其在介质中检测缺陷的潜力。最后,显示了源位置对互相关函数的影响。

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