Reconstruction of Rayleigh–Lamb dispersion spectrum based on noise obtained from an air-jet forcing

Larose, Éric; Roux, Philippe; Campillo, Míchel

doi:10.1121/1.2799913

Cited by 80 publications

(47 citation statements)

References 31 publications

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“…In thin plates, the dispersion relation for noise generated by an air jet has been recovered [19]. More recently, an experimental and numerical study was also conducted to determine the role of the ballistic and coda part on the cross-correlation when the source distribution was circular and uniform [20].…”

Section: Introductionmentioning

confidence: 99%

Coda reconstruction from cross-correlation of a diffuse field on thin elastic plates

et al. 2017

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This study contributes to the evaluation of the robustness and accuracy of Green's function reconstruction from cross-correlation of strongly dispersed reverberated signals, with disentangling of the respective roles of ballistic and reverberated ('coda') contributions. We conduct a suite of experiments on a highly reverberating thin duralumin plate, where an approximately diffuse flexural wavefield is generated by taking advantage of the plate reverberation and wave dispersion. A large number of impulsive sources that cover the whole surface of the plate are used to validate ambient-noise theory through comparison of the causal and anticausal (i.e., positive-and negativetime) terms of the cross-correlation to one another, and to the directly measured Green's function. To quantify the contribution of the ballistic and coda signals, the cross-correlation integral is defined over different time windows of variable length, and the accuracy of the reconstructed Green's function is studied as a function of the initial and end times of the integral. We show that even cross-correlations measured over limited time windows converge to a significant part of the Green's function. Convergence is achieved over a wide time window, which includes not only direct flexuralwave arrivals, but also the multiply reverberated coda. We propose a model, based on normal-mode analysis that relates the similarity between the cross-correlation and the Green's function to the statistical properties of the plate. We also determine quantitatively how incoherent noise degrades the estimation of the Green's function.

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Section: Introductionmentioning

confidence: 99%

Coda reconstruction from cross-correlation of a diffuse field on thin elastic plates

et al. 2017

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“…Experimental and theoretical studies have demonstrated that an estimate of the arrival time structure between two receivers, for a given acoustic or elastic medium (as determined by the Green's function between the receivers locations) can be obtained from the time-averaged cross correlation of the ambient noise recorded by the two receivers. This has been shown among others in the fields of ultrasonics [Weaver and Lobkis, 2001;Larose et al, 2004;Lani et al, 2011], helioseismology [Duvall et al, 1993;Rickett and Claerbout, 1996], seismology [Sabra et al, 2005a;Shapiro et al, 2005;Brenguier et al, 2007], structural health monitoring [Sabra and Huston, 2011;Snieder and Cafak, 2006;Larose et al, 2007;Farrar and James, 1997], and elastography [Sabra and Archer, 2009;Sabra et al, 2007]. For instance, ambient noise correlation processing has successfully been used to continuously monitor with unprecedented temporal resolution seismically active systems such as fault zones [Brenguier et al, 2008] and volcanic areas [Brenguier et al, 2014].…”

Section: Introductionmentioning

confidence: 99%

Monitoring deep‐ocean temperatures using acoustic ambient noise

Woolfe

Lani

Sabra

et al. 2015

Geophysical Research Letters

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Measuring temperature changes of the deep oceans, important for determining the oceanic heat content and its impact on the Earth's climate evolution, is typically done using free‐drifting profiling oceanographic floats with limited global coverage. Acoustic thermometry provides an alternative and complementary remote sensing methodology for monitoring fine temperature variations of the deep ocean over long distances between a few underwater sources and receivers. We demonstrate a simpler, totally passive (i.e., without deploying any active sources) modality for acoustic thermometry of the deep oceans (for depths of ~ 500–1500 m), using only ambient noise recorded by two existing hydroacoustic stations of the International Monitoring System. We suggest that passive acoustic thermometry could improve global monitoring of deep‐ocean temperature variations through implementation using a global network of hydrophone arrays.

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“…This technique has been widely exploited in seismology [38,39,40], underwater acoustics [41,42] and recently ultrasonic [43,44,45].…”

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confidence: 99%

Application of Piezoelectric Transducers in Structural Health Monitoring Techniques

Leyla¹,

Moulin²,

Assaad³

et al. 2011

Advances in Piezoelectric Transducers

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Reconstruction of Rayleigh–Lamb dispersion spectrum based on noise obtained from an air-jet forcing

Cited by 80 publications

References 31 publications

Coda reconstruction from cross-correlation of a diffuse field on thin elastic plates

Coda reconstruction from cross-correlation of a diffuse field on thin elastic plates

Monitoring deep‐ocean temperatures using acoustic ambient noise

Application of Piezoelectric Transducers in Structural Health Monitoring Techniques

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