Internal Imaging of Concrete Elements

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Title: Internal Imaging of Concrete Elements

Author(s): James A. Bittner, Agustin Spalvier, and John S. Popovics

Publication: Concrete International

Volume: 40

Issue: 4

Appears on pages(s): 57-63

Keywords: error, image, shear wave, thickness

DOI:

Date: 4/1/2018

Abstract:
The ultrasonic shear wave array method is an emerging mechanical nondestructive testing technology that provides visualizations of the internal structure of concrete members. The authors review the application of the method, demonstrate an example NDT field application, and propose improvements to the method’s existing data analysis procedure for concrete deck thickness measurements.

Related References:

1. ACI Committee 228, “Report on Nondestructive Test Method for Evaluation of Concrete in Structures (ACI 228.2R-13),” American Concrete Institute, Farmington Hills, MI, 2013, 82 pp.

2. Fitch, J.P., Synthetic Aperture Radar, C.S. Burrus, ed., Springer-Verlag, New York, 1988, 170 pp.

3. Smith, S.W., The Scientist and Engineer’s Guide to Digital Signal Processing, California Technical Publishing, San Diego, CA, 1997, 626 pp.

4. De La Haza, A.O.; Samokrutov, A.A.; and Samokrutov, P.A., “Assessment of Concrete Structures Using the Mira and Eyecon Ultrasonic Shear Wave Devices and the SAFT-C Image Reconstruction Technique,” Construction and Building Materials, V. 38, Jan. 2013, pp. 1276-1291.

5. Langenberg, K.-J.; Marklein, R.; and Mayer, K., Ultrasonic Nondestructive Testing of Materials: Theoretical Foundations, CRC Press, Boca Raton, FL, 2012, 772 pp.

6. White, J.; Hurlebaus, S.; Shokouhi, P.; and Wimsatt, A., “Use of Ultrasonic Tomography to Detect Structural Impairment in Tunnel Linings Validation Study and Field Evaluation,” Transportation Research Record: Journal of the Transportation Research Board, V. 2407, Dec. 2014, pp. 20-31.

7. Hoegh, K.; Khazanovich, L.; and Yu, H.T., “Ultrasonic Tomography Technique for Evaluation Concrete Pavements,” Transportation Research Record: Journal of the Transportation Research Board, V. 2232, Dec. 2011, pp. 85-94.

8. Popovics, J.S.; Roesler, J.R.; Bittner, J.; Amirkhanian, A.N.; Brand, A.S.; Gupta, P.; and Flowers, K., “Ultrasonic Imaging for Concrete Infrastructure Condition Assessment and Quality Assurance,” Research Report No. FHWA-ICT-17-007, Illinois Department of Transportation, Springfield, IL, 2017, 146 pp.

9. van Ginneken, B., and Mendrik, A., “Image Denoising with K-Nearest Neighbor and Support Vector Regression,” Proceedings of the 18th International Conference on Pattern Recognition (ICPR’06), V. 3, 2006, pp. 603-606.




  

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