A Bayesian approach for high resolution imaging of small changes in multiple scattering media

Xie, Furen; Moreau, Ludovic; Zhang, Yuxiang; Larose, Éric

doi:10.1016/j.ultras.2015.08.005

Cited by 14 publications

(9 citation statements)

References 26 publications

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“…The CC measures the similarity between two signals. It can be used for imaging purpose [24,47,50], or to monitor stress change [18,33]. Various CWI processing approaches have been developed, such as the Doublet techniques [39], Taylor series expansion method [28], and the stretching method [32].…”

Section: Coda Wave Interferometrymentioning

confidence: 99%

Noise Reduction for Improvement of Ultrasonic Monitoring Using Coda Wave Interferometry on a Real Bridge

Wang¹,

Chakraborty²,

Niederleithinger³

2021

J Nondestruct Eval

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Reinforced concrete bridges are iconic parts of modern infrastructure. They are designed for a minimum service life of 100 years. However, environmental factors and/or inappropriate use might cause overload and accelerate the deterioration of bridges. In extreme cases, bridges could collapse when necessary maintenance lacks. Thus, the permanent monitoring for structure health assessment has been proposed, which is the aim of structural health monitoring (SHM). Studies in laboratories have shown that ultrasonic (US) coda wave interferometry (CWI) using diffuse waves has high sensitivity and reliability to detect subtle changes in concrete structures. The creation of micro-cracks might be recognized at an early stage. Moreover, large-volume structures can be monitored with a relatively small number of US transducers. However, it is still a challenge to implement the CWI method in real SHM practical applications in an outdoor environment because of the complex external factors, such as various noise sources that interfere with the recorded signals. In this paper, monitoring data from a 36-m long bridge girder in Gliwice, Poland, instrumented with embedded US transducers, thermistors, and vibrating wire strain gauges, is presented. Noise estimation and reduction methods are discussed, and the influence of traffic, as well as temperature variation, are studied. As a result, the relative velocity variation of US waves following the temperature change with a very high precision of $$10^{-4} \%$$ 10 - 4 % is shown, and a good bridge health condition is inferred. The influence of lightweight real traffic is negligible. The study verified the feasibility of the implementation of the CWI method on real bridge structures.

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Section: Coda Wave Interferometrymentioning

confidence: 99%

Noise Reduction for Improvement of Ultrasonic Monitoring Using Coda Wave Interferometry on a Real Bridge

Wang¹,

Chakraborty²,

Niederleithinger³

2021

J Nondestruct Eval

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“…6,7 In view of applying CWI to detect the formation of damage in concrete, we can identify at least two approaches: the first one is based on monitoring the acousto-elasticity of concrete from apparent relative velocity changes, 8–11 while the second one is based on monitoring the change in its microstructure through the decorrelation of coda waves. 12–17 To author’s knowledge, the application of CWI and Locadiff for detecting several pre-existing cracks in-situ has not yet been reported, though the in-situ detection and cartography of existing cracks are two major concerns of the NDT& E community and in the industry. To investigate the capacity of the method to image pre-existing cracks, we propose to apply Locadiff on an aeronautical wind tunnel made of reinforced and pre-stressed concrete in an industrial context.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional in-situ imaging of cracks in concrete using diffuse ultrasound

Zhang

Larose

Moreau

et al. 2017

Structural Health Monitoring

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Locadiff, an innovative imaging technique based on diffuse waves, has recently been developed in order to image mechanical changes in heterogeneous geological or man-made materials. This manuscript reports the on-site application of Locadiff to locate several pre-existing cracks on an aeronautical wind tunnel made of pre-stressed concrete. Using 32 transducers working at ultrasonic frequencies (80-220 kHz) where multiple scattering occurs, we monitor during 15 minutes an area of 2.5 m×2.5 m of a 35 cm thick wall. With the wind tunnel in its routine operation, structural changes around the cracks are detected thanks to their closing or opening due to slight pressure changes. By mapping the density of such microstructure changes in the bulk of the material, the locating of three pre-existing cracks is properly performed in 3D.

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“…Equation 5does not have an analytical form in general and should be calculated numerically [33]. Once DC(S, R, x, t) and K(S, R, x, t) are obtained, the defect location can be predicted from different inversion algorithms, e.g., the linear least square inversion method [35] and the Monte Carlo Markov chain method [36]. Here a classical grid search method is used to find the most likely defect position using the cost function below:…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Experimental Study of Defect Localization in a Cross-Ply Fiber Reinforced Composite with Diffuse Ultrasonic Waves

Zhu

Ding

et al. 2019

Applied Sciences

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Diffuse wave inspection benefits from multiple scattering and is suitable for the nondestructive testing of complex structures with high sensitivity. This paper aims to localize the defect in a cross-ply carbon fiber reinforced polymer composite with the diffuse wave field experimentally based on the Locadiff technique. Firstly, the wave diffusivity and dissipation parameters are determined from the diffuse waveforms. Great dissipation is found for this composite plate due to its strong viscoelasticity, which makes the amplitude attenuate fast in a short propagation distance. The signal-to-noise ratios degrade significantly at off-axis directions so that only measurements along the X and Y axes are chosen. Secondly, the decorrelation coefficients are determined using the stretching technique. The decorrelation coefficients decrease initially due to the interaction between the wave fields and the defect and subsequently increase due to the low signal-to-noise ratio at the later time. Based on these data, a sensitivity time domain is chosen to center at t = 50 μs. Together with the defect sensitivity kernel calculated under constant diffusion property assumption, the defect is localized at [270 mm, 265 mm] compared to [300 mm, 280 mm] in the final reference state. This method is promising for early damage detection in fiber reinforced composite structures.

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A Bayesian approach for high resolution imaging of small changes in multiple scattering media

Cited by 14 publications

References 26 publications

Noise Reduction for Improvement of Ultrasonic Monitoring Using Coda Wave Interferometry on a Real Bridge

Noise Reduction for Improvement of Ultrasonic Monitoring Using Coda Wave Interferometry on a Real Bridge

Three-dimensional in-situ imaging of cracks in concrete using diffuse ultrasound

Experimental Study of Defect Localization in a Cross-Ply Fiber Reinforced Composite with Diffuse Ultrasonic Waves

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