Ultrasonic Guided Wave Imaging Techniques in Structural Health Monitoring

Yan, Fei; Rose, Joseph L.; Royer, Roger

doi:10.1115/smasis2008-592

Cited by 19 publications

(20 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3 Guided wave-based sparse sensor damage detection techniques have been explored by numerous authors. [6][7][8][9][10][11] Among those, Kessler et al 12 presented a technique capable of detecting defects in quasi-isotropic composite materials by recording the time evolution of the wavefield at few points using only PZT sensors. More recently, Yu et al 13 showed that in metallic isotropic materials, sparse sensor guided wave techniques can be used to determine damage location and, in some cases, damage size.…”

Section: Introductionmentioning

confidence: 99%

Instantaneous and local wavenumber estimations for damage quantification in composites

Mesnil

Leckey

Ruzzene

2014

Structural Health Monitoring

View full text Add to dashboard Cite

The continued and expanded use of composite materials in aerospace applications necessitates structural health monitoring and/or nondestructive evaluation techniques that can provide quantitative and detailed damage information for layered plate-like components (such as composite laminates). Guided wavefield methods are at the basis of a number of promising techniques for the detection and the characterization of damage in plate-like structures. Among the processing techniques that have been proposed for guided wavefield analysis, the estimation of instantaneous and local wavenumbers can lead to effective metrics that quantify the size and the depth of delaminations in composite laminates. This article reports the application of both instantaneous and local wavenumber damage quantification techniques to guided wavefield data for delaminated composite laminates. The techniques are applied to experimental data for a simple single delamination case and to simulated data for a more complex multi-ply delamination case. The two techniques are compared in terms of accuracy in damage characterization and computational demand. The proposed methodologies can be considered as steps toward a hybrid structural health monitoring/nondestructive evaluation approach for damage assessment in composites.

show abstract

Section: Introductionmentioning

confidence: 99%

Instantaneous and local wavenumber estimations for damage quantification in composites

Mesnil

Leckey

Ruzzene

2014

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…Through the similar processes for all angles, the virtual scanning can be achieved without any physical manipulation of the array. Since constructive interference for the damage scattered signals is actually realized during beamforming, the signal-to-noise (SNR) of diagnostic signals and inspection distance can be largely improved [35]. An image of the scanned area is finally generated by directly mapping all the synthetic signals with the known velocity.…”

Section: Lamb Wave Methodsmentioning

confidence: 99%

“…In aeronautic structures, composite materials are increasingly utilized to decrease weight for payload and radius purposes. The percentages by weight of composites in USA fighters rise from 2% in F-15E to 35.2% in F-35/CV. The overall structure of Eurofighter Typhoon is composed of 40% carbon-fiber composite materials.…”

Section: Composite Materialsmentioning

confidence: 99%

Structural Health Monitoring for Composite Materials

Cai¹,

Qiu²,

Yuan³

et al. 2012

Composites and Their Applications

View full text Add to dashboard Cite

“…In addition, for the experimental cases, a very dense sensor network is required to obtain reliable results. 59,61 This is not very attractive option for application to real structures due to the additional weight of the sensors and wires and the extra acquisition time.…”

Section: Tomography Approachmentioning

confidence: 99%

Damage Detection and Characterization with Piezoelectric Transducers: Active Sensing

Khodaei¹,

Aliabadi²

2017

Computational and Experimental Methods in Structures

View full text Add to dashboard Cite

This chapter presents an overview of prominent structural health monitoring (SHM) techniques for damage detection and localization utilizing ultrasonic guided waves (UGWs). The basic principles of SHM described include the application of permanently fixed sensors on the structure combined with the necessity of minimum manual intervention to monitor the structural integrity. The techniques used in SHM, especially tomography and delay-and-sum (DAS) approach, are described in detail. Particular attention is paid to the development of advanced technical capabilities for making the integration of sensors in modern composite structures practical and efficient so as to facilitate industrialization and certification. Therefore, key aspects that have been included are optimization of sensor positioning and influence of changes in environmental conditions on damage detection algorithms. The theoretical descriptions are combined with several benchmark examples involving finite element analysis and experimental measurements. Finally, application to a curved fuselage composite panel with frames and stringers is presented to demonstrate how a multilevel approach could be used to efficiently detect damage in complex structures.

show abstract

Ultrasonic Guided Wave Imaging Techniques in Structural Health Monitoring

Cited by 19 publications

References 0 publications

Instantaneous and local wavenumber estimations for damage quantification in composites

Instantaneous and local wavenumber estimations for damage quantification in composites

Structural Health Monitoring for Composite Materials

Damage Detection and Characterization with Piezoelectric Transducers: Active Sensing

Contact Info

Product

Resources

About