Probabilistic Damage Identification Based on Correlation Analysis Using Guided Wave Signals in Aluminum Plates

Due to no requirement for direct interpretation of the guided wave signal, probability-based diagnostic imaging (PDI) algorithm is especially suitable for damage identification of complex composite structures. However, the weight distribution function of PDI algorithm is relatively inaccurate. It can reduce the damage localization accuracy. In order to improve the damage localization accuracy, an improved PDI algorithm is proposed. In the proposed algorithm, the weight distribution function is corrected by the acquired relative distances from defects to all actuator–sensor pairs and the reduction of the weight distribution areas. The validity of the proposed algorithm is assessed by identifying damages at different locations on a stiffened composite panel. The results show that the proposed algorithm can identify damage of a stiffened composite panel accurately.

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Circumference Damage Identification in a Pipe Using Mode Conversion of Longitudinal Guided Wave

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.395-396.787 ◽

2013 ◽

Vol 395-396 ◽

pp. 787-791

Author(s):

Jing Wu ◽

Wei Wei Zhang

Keyword(s):

Damage Detection ◽

Damage Identification ◽

Mode Conversion ◽

Guided Wave ◽

Symmetric Mode ◽

Axially Symmetric ◽

Mode Transformation ◽

Damage Location

This paper aims to develop a method to identify the damage location in circumference direction of a pipe using mode transformation of longitudinal guided wave. The corrosion-like damage in bimetal pipe is considered. Case study that damage detection for a bimetal pipe is used to show the validity and advantage of the proposed method. It can be found that the axially symmetric mode guided wave encounter the damage and the three modes were received in reflection. The damage location in circumferential directions could be identified by conversed modes measured at one position. The simulation shows a good performance.

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Noncontact/Remote Material Characterization Using Ultrasonic Guided Wave Methods

ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems ◽

10.1115/smasis2020-2288 ◽

2020 ◽

Author(s):

Zhaoyun Ma ◽

Lingyu Yu

Keyword(s):

Guided Waves ◽

Broad Band ◽

Laser Doppler Vibrometer ◽

Pulsed Laser ◽

Guided Wave ◽

Target Plate ◽

Ultrasonic Guided Wave ◽

Time Space ◽

Aluminum Plates ◽

Wave Methods

Abstract Noncontact and remote NDE systems and methods are highly desired in a broad range of engineering applications such as material property characterization. This paper aims to develop such a noncontact/remote NDE system based on laser ultrasonic guided waves and establish its fundamental capability for material thickness evaluation. The noncontact system employs pulsed laser (PL) for guided wave actuation and scanning laser Doppler vibrometer (SLDV) for guided wave wavefield sensing. A cylindrical planoconvex lens is adopted to focus the pulsed laser beam to a line source in order to excite broad band signals in the target plate. Aluminum plates with different thicknesses are evaluated through SLDV line scans and 2D time-space wavefields are acquired. Frequency-wavenumber (f-k) spectra are obtained through 2D Fourier transform, and the A0 dispersion curve for each plate is extracted. Through Comparing the extracted A0 curve with the theoretical A0 dispersion curves, the thicknesses of the tested plates are identified. Reflective tape effect on the plates are also studied: the reflective tape attached for SLDV enhancement affects the guided waves in the target plate significantly when the plate is relatively thin.

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Elbow Damage Identification Technique Based on Sparse Inversion Image Reconstruction

Materials ◽

10.3390/ma13071786 ◽

2020 ◽

Vol 13 (7) ◽

pp. 1786

Author(s):

Yu Wang ◽

Xueyi Li

Keyword(s):

Oil And Gas ◽

Damage Identification ◽

Sound Field ◽

Guided Wave ◽

Inversion Method ◽

Reconstruction Technique ◽

Fast Marching ◽

Pipe Elbow ◽

Identification Technique ◽

Sparse Inversion

Continuous monitoring for defects in oil and gas pipelines is important for leakage prevention. This paper proposes a new kind of pipe elbow damage identification technique, which consists of three processes. First, piezoelectric sensors evenly arranged along the circumference of the pipeline in the turn generated ultrasonic guided wave signals in the elbow. Then, the wavefront flight time at each grid node in the known sound field were computed using the fast-marching algorithm. Finally, an elbow wall thickness map reconstruction technique based on the sparse inversion method was proposed to identify elbow defects. Compared with the traditional elbow defect identification technology, this technology can not only detect the existence of the defect but also accurately locate the defect position.

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Structural Health Monitoring of Thin Aluminum Plate Using Acoustic Sensors

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.622-623.1389 ◽

2012 ◽

Vol 622-623 ◽

pp. 1389-1395

Author(s):

R. Nishanth ◽

K. Lingadurai ◽

V. Malolan ◽

Gowrishankar Wuriti ◽

M.R.M. Babu

Keyword(s):

Lamb Wave ◽

Damage Identification ◽

Lamb Waves ◽

Time Domain Analysis ◽

Ultrasonic Waves ◽

Aluminum Plate ◽

Identification System ◽

Time Frequency ◽

Thin Aluminum ◽

Aluminum Plates

SHM is defined as “an emerging technology that can be defined as continuous, autonomous, real time, in-service monitoring of the physical condition of a structure by means of embedded or attached sensors with minimum manual intervention” .SHM provides the ability of a system to detect adverse changes within a system’s structure to enhance reliability and reduce maintenance costs. There are different Non-Destructive techniques like acoustic emission, ultrasonic, acousto-ultrasonic, guided ultrasonic waves or Lamb waves which are nowadays investigated for the development of an efficient and user-friendly damage identification system. This paper deals with the latter which is based on Lamb wave propagation. It has been developed especially for distinguishing different kinds of damages. The Lamb wave-based active SHM method uses piezoelectric (PZT) sensors to transmit and receive Lamb waves in a thin Aluminum plate. The Lamb wave modes (AO &SO) travel into the structure and are reflected by the structural boundaries, discontinuities, and damage. By studying their propagation and reflection, the presence of defect in the structure is determined. Laboratory level experiments have been carried out on thin Aluminum plates with angular, horizontal and vertical defect. The obtained waveform is filtered to avoid unwanted noise & disturbances using Savitzky-Golay filtering. The filtered waveforms are compared to differentiate the defects. Short Time Fourier Transform has been carried out on the acquired waveform. This study provides significant insight into the problem of identifying localized damages in the structure using PZT and dispersion of signal after they interact with different types of damage. Those small defects like the horizontal one that may be nearly missed in time domain analysis can also be clearly identified in the STFT analysis. Moreover the occurrence of So mode is also clearly seen. Thus, Lamb waves generated by PZT sensors and time-frequency analysis techniques could be used effectively for damage detection in aluminum plate. This study has given a complete idea of the working and the basic requirements of SHM system.

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Nonlinear Guided Wave Tomography for Detection and Evaluation of Early-Life Material Degradation in Plates

Sensors ◽

10.3390/s21165498 ◽

2021 ◽

Vol 21 (16) ◽

pp. 5498

Author(s):

Chengwei Zhao ◽

Sunia Tanweer ◽

Jian Li ◽

Min Lin ◽

Xiang Zhang ◽

...

Keyword(s):

Early Life ◽

Guided Waves ◽

Lamb Waves ◽

Tone Burst ◽

Guided Wave ◽

Material Degradation ◽

Third Order Elastic Constants ◽

Metal Plates ◽

Wave Tomography ◽

Aluminum Plates

In this paper, the possibility of using nonlinear ultrasonic guided waves for early-life material degradation in metal plates is investigated through both computational modeling and study. The analysis of the second harmonics of Lamb waves in a free boundary aluminum plate, and the internal resonance conditions between the Lamb wave primary modes and the second harmonics are investigated. Subsequently, Murnaghan’s hyperelastic model is implemented in a finite element (FE) analysis to study the response of aluminum plates subjected to a 60 kHz Hanning-windowed tone burst. Different stages of material degradation are reflected as the changes in the third order elastic constants (TOECs) of the Murnaghan’s model. The reconstructed degradations match the actual ones well across various degrees of degradation. The effects of several relevant factors on the accuracy of reconstructions are also discussed.

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Guided Waves Tomography and Image Fusion for Damage Identification in Pipes

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.94-96.1585 ◽

2011 ◽

Vol 94-96 ◽

pp. 1585-1589 ◽

Cited By ~ 1

Author(s):

Hai Yan Zhang ◽

Jian Bo Yu ◽

Xian Hua Chen

Keyword(s):

Image Fusion ◽

Guided Waves ◽

Damage Identification ◽

Tomographic Reconstruction ◽

Element Model ◽

Guided Wave ◽

Reconstruction Technique ◽

Arrival Times ◽

Iterative Reconstruction Technique ◽

Incomplete Datasets

The detection of localized defects such as cracks and corrosion in pipes using guided waves has been shown to be an effective nondestructive evaluation technique for structural health monitoring (SHM). Cross borehole tomography in seismology is introduced into the guided wave inspection of a pipe when the pipe is considered as an unwrapped plate. Guided waves propagating in pipe with a crack defect are simulated using the finite element model and the arrival times for the fastest modes are extracted and sent to the tomographic algorithm. The tomographic reconstruction is based on the simultaneous iterative reconstruction technique (SIRT). For some cylindrical shell geometries such as stacked storage tanks, access to the entire circumference of the structure could be impractical or even impossible, three different image fusion techniques are used to enhance the image equality reconstructed from the incomplete datasets. The results show that the defect is more pronounced after imaging fusion.

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Characterization of Roll-Cladded Aluminum Plates With Laser-Based Surface-Acoustic-Wave Measurements

10.1115/qnde2021-74927 ◽

2021 ◽

Author(s):

Clemens Grünsteidl ◽

Georg Watzl ◽

Christian Kerschbaummayr ◽

Edgar Scherleitner ◽

Günther Mayr ◽

...

Keyword(s):

Optimization Procedure ◽

Guided Wave ◽

Laser Ultrasound ◽

Ultrasound Technique ◽

Wave Measurements ◽

Dispersion Data ◽

Free Parameters ◽

Aluminum Plates ◽

Non Destructive

Abstract We investigated roll-cladded aluminum structures consisting of a layer of Al4045 on Al3003 with a non-destructive laser-ultrasound technique. We determined the thickness of the cladding layer based on the dispersion of the fundamental guided wave propagating along the surface. We analyzed eight surfaces, with cladding thicknesses ranging from 0 to approximately 400μm The inversion of the dispersion data to obtain the thickness yielded in consistent results, which we compare to reference values obtained from micrographs. For the optimization procedure we allowed the material properties to be free parameters, but constrained them to be equal for all samples.

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Crack imaging and quantification in aluminum plates with guided wave wavenumber analysis methods

Ultrasonics ◽

10.1016/j.ultras.2015.05.019 ◽

2015 ◽

Vol 62 ◽

pp. 203-212 ◽

Cited By ~ 41

Author(s):

Lingyu Yu ◽

Zhenhua Tian ◽

Cara A.C. Leckey

Keyword(s):

Guided Wave ◽

Analysis Methods ◽

Aluminum Plates

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