Nonlinear Acoustic Properties of Structural Materials — A Review

Buck, O.

doi:10.1007/978-1-4684-5772-8_216

Cited by 13 publications

(5 citation statements)

References 28 publications

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“…Secondly, the use of the proposed simple filters in combination or separately allows obtaining data with increased SNR when studying new materials and mechanical designs. A huge number of works are devoted to non-destructive testing, which indicates the importance of this area [77][78][79][80][81]. In a number of engineering tasks, it is required to obtain data on all spectral components: on the fundamental tone and additional harmonics [82].…”

Section: Discussionmentioning

confidence: 99%

Enhancing the Distributed Acoustic Sensors’ (DAS) Performance by the Simple Noise Reduction Algorithms Sequential Application

et al. 2023

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Moving differential and dynamic window moving averaging are simple and well-known signal processing algorithms. However, the most common methods of obtaining sufficient signal-to-noise ratios in distributed acoustic sensing use expensive and precise equipment such as laser sources, photoreceivers, etc., and neural network postprocessing, which results in an unacceptable price of an acoustic monitoring system for potential customers. This paper presents the distributed fiber-optic acoustic sensors data processing and noise suppression techniques applied both to raw data (spatial and temporal amplitude distributions) and to spectra obtained after the Fourier transform. The performance of algorithms’ individual parts in processing distributed acoustic sensor’s data obtained in laboratory conditions for an optical fiber subjected to various dynamic impact events is studied. A comparative analysis of these parts’ efficiency was carried out, and for each type of impact event, the most beneficial combinations were identified. The feasibility of existing noise reduction techniques performance improvement is proposed and tested. Presented algorithms are undemanding for computation resources and provide the signal-to-noise ratio enhancement of up to 13.1 dB. Thus, they can be useful in areas requiring the distributed acoustic monitoring systems’ cost reduction as maintaining acceptable performance while allowing the use of cheaper hardware.

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Section: Discussionmentioning

confidence: 99%

Enhancing the Distributed Acoustic Sensors’ (DAS) Performance by the Simple Noise Reduction Algorithms Sequential Application

et al. 2023

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“…Attenuation in Lamb waves generally increases with the existence of damage or inhomogeneities such as stiffeners or fasteners [60][61][62]. Thus wave attenuation is an important feature in guided-wave SHM [59,[63][64][65] and the sensitivity to attenuation is a major advantage of NCM over SDC as a damage index.…”

Section: A Novel Time-domain Damage Indexmentioning

confidence: 99%

A novel damage index for damage identification using guided waves with application in laminated composites

Torkamani

Roy

Barkey

et al. 2014

Smart Mater. Struct.

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In the current investigation, an innovative time-domain damage index is introduced for the first time which is based on local statistical features of the waveform. This damage index is called the ‘normalized correlation moment’ (NCM) and is composed of the nth moment of the cross-correlation of the baseline and comparison waves. The performance of this novel damage index is compared for some synthetic signals with that of an existing damage index based on the Pearson correlation coefficient (signal difference coefficient, SDC). The proposed damage index is shown to have significant advantages over the SDC, including sensitivity to the attenuation of the signal and lower sensitivity to the signal’s noise level. Numerical simulations using Abaqus finite element (FE) software show that this novel damage index is not only capable of detecting the delamination type of damage, but also exhibits a good ability in the assessment of this type of damage in laminated composite structures. The NCM damage index is also validated using experimental data for identification of delamination in composites.

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“…In the X2 = 0 and X3 = 0 planes, ? '2 and ]/3 are zero in the direction (14) and ( 15)] for the L, SH, SV, So, and R, ultrasonic modes. The coefficients .42222, A2233 , .423, and A3333 are given in Appendix B.…”

Section: Introductionmentioning

confidence: 98%

Determination of texture coefficients in hexagonal polycrystalline aggregates with orthorhombic symmetry using ultrasounds

Kielczynski

Moreau

Bussière

1994

The Journal of the Acoustical Society of America

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A method to characterize the texture of hexagonal polycrystalline aggregates with orthorhombic macroscopic symmetry is presented. Previous methods are extended to the analysis of waves propagating on three principal planes of the material. Five coefficients of the crystallographic orientation distribution function, W20o, W2:0, W•0o, W4:0, and W440, are determined from angular variations of the phase velocity of the five ultrasonic modes considered: Bulk longitudinal waves, shear waves with in-plane and plane-normal polarizations, Rayleigh surface waves, and the fundamental symmetric plate mode (in the long-wavelength limit). Analytical expressions for the texture coefficients are found for an arbitrary number of principal planes. Measurements are reported for a Zr-2.5% wt Nb pressure tube, an alloy used in CANDU nuclear reactors. The angular variations of the phase velocity of leaky Rayleigh waves and leaky surface skimming compressional waves are measured with a line-focus acoustic microscope. Although these waves are not exactly those treated in the theory, they are closely related to pure Rayleigh waves and bulk longitudinal waves. The determined texture coefficients are sensitive to the input physical parameters when certain combinations of planes and acoustic waves requiring absolute velocity measurements are used. However, the coefficients are less sensitive to the input parameters when combinations requiring only relative velocity measurements are used. Results derived from relative measurements agreed with neutron scattering measurements.

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Nonlinear Acoustic Properties of Structural Materials — A Review

Cited by 13 publications

References 28 publications

Enhancing the Distributed Acoustic Sensors’ (DAS) Performance by the Simple Noise Reduction Algorithms Sequential Application

Enhancing the Distributed Acoustic Sensors’ (DAS) Performance by the Simple Noise Reduction Algorithms Sequential Application

A novel damage index for damage identification using guided waves with application in laminated composites

Determination of texture coefficients in hexagonal polycrystalline aggregates with orthorhombic symmetry using ultrasounds

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