Analysis of elastic nonlinearity using the scaling subtraction method

Bruno, Caterina Letizia Elisabetta; Gliozzi, Antonio; Scalerandi, Marco; Antonaci, Paola

doi:10.1103/physrevb.79.064108

Cited by 84 publications

(47 citation statements)

References 41 publications

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“…3 The first nonlinear ultrasonic method used is the scaling subtraction method (SSM). 7 It consists of successively sending two pulses, one low amplitude A ref assumed linear and one larger amplitude A i assumed nonlinear. By rescaling both responses and computing the difference, the full nonlinearity is obtained.…”

mentioning

confidence: 99%

Nonlinear ultrasound: Potential of the cross-correlation method for osseointegration monitoring

Rivière

Haupert

Laugier

et al. 2012

The Journal of the Acoustical Society of America

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Recently the concept of probing nonlinear elasticity at an interface prosthesis/bone has been proposed as a promising method to monitor the osseointegration/sealing of a prosthesis. However, the most suitable method to achieve this goal is a point of debate. To this purpose, two approaches termed the scaling subtraction method and the cross-correlation method are compared here. One nonlinear parameter derived from the cross-correlation method is as sensitive as a clinical device based on linear elasticity measurement. Further, this study shows that cross-correlation based methods are more sensitive than those based on subtraction/addition, such like pulse inversion and similar methods.

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mentioning

confidence: 99%

Nonlinear ultrasound: Potential of the cross-correlation method for osseointegration monitoring

Rivière

Haupert

Laugier

et al. 2012

The Journal of the Acoustical Society of America

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“…NEWS with TR procedure has been recognized as a useful tool for non-destructive testing (cracks detection) of various solid materials, such as complex composites. During the pioneering work in bubbly liquids [15], efficiency of TR-NEWS methods have been numerically demonstrated [30] and extended [31][32][33] in complex structure for crack identification and detection.…”

Section: Nonlinear Time Reversal Acoustics (Nl-tra)mentioning

confidence: 99%

Imaging of human tooth using ultrasound based chirp-coded nonlinear time reversal acoustics

Santos

Převorovský

2011

Ultrasonics

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“…18 In the former, in particular, when the excitation amplitude is amplified by a factor k, the output response is not simply amplified correspondingly. These features are exploited by the scaling subtraction method (SSM) 19,20 and nonlinear loss of reciprocity (NLR) based methods. 21 The goal of this paper is first to show the existence of strain amplitude thresholds for nonlinearity detection.…”

Section: Introductionmentioning

confidence: 99%

Influence of noise on the threshold for detection of elastic nonlinearity

Bentahar

Guerjouma

Idijmarene

et al. 2013

Journal of Applied Physics

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Wheel/rail noise generation due to nonlinear effects and parametric excitationNonlinear effects on the propagation of elastic waves in hysteretic media are of great importance, with applications in imaging and monitoring evolution of damage/phase transitions/biological features. However, excitation amplitudes are an issue in order to improve performances of the techniques. Noise effects in the signals can be stronger than the generated nonlinear effects, thus rendering difficult the nonlinear analysis. Here, we analyze the link between the amplitude threshold for detection of nonlinear effects and different kinds of noises, which might be present in experiments. We also discuss the implications in the intrpretation of experiments. V C 2013 American Institute of Physics. [http://dx.

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Analysis of elastic nonlinearity using the scaling subtraction method

Cited by 84 publications

References 41 publications

Nonlinear ultrasound: Potential of the cross-correlation method for osseointegration monitoring

Nonlinear ultrasound: Potential of the cross-correlation method for osseointegration monitoring

Imaging of human tooth using ultrasound based chirp-coded nonlinear time reversal acoustics

Influence of noise on the threshold for detection of elastic nonlinearity

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