Wireless ultrasonic guided wave tomography for corrosion monitoring

2008 ◽  
Author(s):  
Jaya Prakash Koduru ◽  
Luke Breon ◽  
Roger Royer ◽  
Joseph L. Rose
Ultrasonics ◽  
2016 ◽  
Vol 67 ◽  
pp. 212-219 ◽  
Author(s):  
Xiang Zhao ◽  
Joseph L. Rose

Author(s):  
Joost G. P. Bloom ◽  
Gert-Jan Heerens ◽  
Arno W. F. Volker

Corrosion and erosion are two major degradation mechanisms of piping systems and pipelines that both lead to wall thickness loss. To ensure sufficient integrity levels of these assets NDE is currently conducted at time based intervals often associated with shut downs. However, both economical and social requirements are pushing the industry to higher levels of availability, reliability and safety of installations at minimum costs. Using permanent sensors that continuously monitor the wall thickness of assets over large areas allows improvement of the availability of installations at lower inspection costs. Because when inline data is continuously available the maintenance can be planned (just) in time at the most optimal moment. Therefore, the permanent sensors will save inspection costs and minimize unplanned maintenance. This can not be achieved with the current method of periodic inspections even when this is done risk based, because some corrosion processes behave unpredictable. This paper demonstrates a system which is able to monitor the wall thickness of pipe lines over large areas in an economical attractive way using a limited number of low-power ultrasonic transducers. The transducers excite specific guided wave modes with a phase velocity that strongly depends on the wall thickness. By applying tomographic inversion to the travel time of these wave modes along different paths, a wall thickness map with 100% coverage can be obtained. Experimental results on a 10″ steel pipe with a wall thickness (WT) of 8 mm show that this system is able to detect and size defects with a depth of 10% and diameter of 15 cm. The area covered in this case was the complete wall of a pipe with a length of 4 m. This paper further explains the advantages and the performance of this system. Furthermore, it will give an outlook of the possible applications.


2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Ying Lei ◽  
Zhu-Peng Zheng

Monitoring the condition of steel corrosion in reinforced concrete (RC) is imperative for structural durability. In the past decades, many electrochemistry based techniques have been developed for monitoring steel corrosion. However, these electrochemistry techniques can only assess steel corrosion through monitoring the surrounding concrete medium. As alternative tools, some physical based techniques have been proposed for accurate condition assessment of steel corrosion through direct measurements on embedded steels. In this paper, some physical based monitoring techniques developed in the last decade for condition assessment of steel corrosion in RC are reviewed. In particular, techniques based on ultrasonic guided wave (UGW) and Fiber Bragg grating (FBG) are emphasized. UGW based technique is first reviewed, including important characters of UGW, corrosion monitoring mechanism and feature extraction, monitoring corrosion induced deboning, pitting, interface roughness, and influence factors. Subsequently, FBG for monitoring corrosion in RC is reviewed. The studies and application of the FBG based corrosion sensor developed by the authors are presented. Other physical techniques for monitoring corrosion in RC are also introduced. Finally, the challenges and future trends in the development of physical based monitoring techniques for condition assessment of steel corrosion in RC are put forward.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Zhupeng Zheng ◽  
Ying Lei ◽  
Xin Xue

Numerical simulation based on finite element method is conducted to predict the location of pitting corrosion in reinforced concrete. Simulation results show that it is feasible to predict corrosion monitoring based on ultrasonic guided wave in reinforced concrete, and wavelet analysis can be used for the extremely weak signal of guided waves due to energy leaking into concrete. The characteristic of time-frequency localization of wavelet transform is adopted in the corrosion monitoring of reinforced concrete. Guided waves can be successfully used to identify corrosion defects in reinforced concrete with the analysis of suitable wavelet-based function and its scale.


2019 ◽  
Vol 9 (15) ◽  
pp. 3126 ◽  
Author(s):  
Yu Gao ◽  
Jian Qiu Zhang

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.


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