scholarly journals Ultrasonic guided wave tomography for the inspection of the fuel tanks floor

2011 ◽  
Vol 41 (1/2/3/4) ◽  
pp. 128 ◽  
Author(s):  
Liudas Mazeika ◽  
Rymantas Kazys ◽  
Renaldas Raisutis ◽  
Reimondas Sliteris
Keyword(s):  
Guided Wave ◽  
Ultrasonic Guided Wave ◽  
Fuel Tanks ◽  
Wave Tomography

Ultrasonic guided wave tomography for ice detection

Ultrasonics ◽  
2016 ◽  
Vol 67 ◽  
pp. 212-219 ◽  
Author(s):  
Xiang Zhao ◽  
Joseph L. Rose
Keyword(s):  
Guided Wave ◽  
Ultrasonic Guided Wave ◽  
Wave Tomography ◽  
Ice Detection

Wireless ultrasonic guided wave tomography for corrosion monitoring

2008 ◽  
Author(s):  
Jaya Prakash Koduru ◽  
Luke Breon ◽  
Roger Royer ◽  
Joseph L. Rose
Keyword(s):  
Guided Wave ◽  
Corrosion Monitoring ◽  
Ultrasonic Guided Wave ◽  
Wave Tomography

scholarly journals A Sparse Model of Guided Wave Tomography for Corrosion Mapping in Structure Health Monitoring Applications

2019 ◽  
Vol 9 (15) ◽  
pp. 3126 ◽  
Author(s):  
Yu Gao ◽  
Jian Qiu Zhang
Keyword(s):  
Health Monitoring ◽  
Guided Wave ◽  
Structure Health Monitoring ◽  
Thickness Change ◽  
New Model ◽  
Sparse Model ◽  
Ultrasonic Guided Wave ◽  
Wave Ray ◽  
Reconstruction Image ◽  
Wave Tomography

To improve the reconstruction image spatial resolutions of ultrasonic guided wave ray tomography, a sparse model, based on the differences between the inspected and original slowness of the ultrasonic guided waves propagating in the plate-like or pipe-like materials, is first proposed in this paper. Unlike the conventional ultrasonic guided wave tomography whose reconstruction image resolutions are limited by an underdetermined linear model, analyses show that our new model, although it is also underdetermined, can give the optimal solution of the reconstruction image when the constraints on the sparsity of the slowness difference distribution are valid. The reason for the validation of the sparse constraints on the corrosions of the materials is explained. Based on our new model, a least absolute shrinkage and selection operator (LASSO) approach to do the thickness change mapping of a structure health monitoring (SHM) application is then formulated. Analyses also show that the visible artifacts can be avoided using our method, and the spatial resolutions of reconstruction image by our approach can further be improved by increasing the number of grids in the calculation. The approach is validated by experimental work on an aluminum plate. It is also shown that compared to the conventional ray tomography, the presented method can achieve a relatively high spatial resolution, with good suppression of artifacts.

An Analysis for Effect Factors of Ultrasonic Guided Wave Tomography in Structural Health Monitoring

2011 ◽  
Vol 282-283 ◽  
pp. 574-578
Author(s):  
Hai Yan Zhang ◽  
Jian Bo Yu ◽  
Xian Hua Chen
Keyword(s):  
Guided Waves ◽  
Tomographic Reconstruction ◽  
Sampling Interval ◽  
Guided Wave ◽  
Ultrasonic Guided Waves ◽  
Quantitative Detection ◽  
Pipe Inspection ◽  
Service Lifetime ◽  
Ultrasonic Guided Wave ◽  
Wave Tomography

Localized flaws such as corrosions in petroleum pipelines often cause fragility, impairing integrity and shortening service lifetime of the structures. There has been much interest recently in monitoring the integrity of the pipe structures. Ultrasonic guided waves provide a highly efficient technique for rapid pipe inspection because they can be made to propagate significant distances in pitch-catch configurations. Crosshole tomographic geometry is formed in such pitch-catch configurations when transmits and receivers are respectively laid along two parallel circumferential belts around the pipe. Considering the pipe as an unwrapped plate, we investigate the adapation of the tomographic reconstruction in seismology to the guided wave inspection of a pipe. Various effects such as transducer arrangement, mesh precision, sampling interval and iterative algorithm on tomographic reconstruction are analyzed. The results provide a theoretical basis for quantitative detection of pipeline flaw using guided wave tomography.

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