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Ultrasonic imaging of multi-layer concrete structures
- Source :
- NDT & E International. 98:101-109
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Ultrasonic imaging is a powerful nondestructive evaluation technology for examining the condition of concrete structures through focused images obtained with the Synthetic Aperture Focusing Technique (SAFT). However, its application has been limited to constant-velocity concrete structures; it has not been used with multi-layer concrete structures with different wave propagation velocities, such as bridge decks with overlays. Advancements of SAFT have theoretically allowed ultrasonic imaging for multi-layer concrete structures. In this study, SAFT is combined with the Multi-Layer Delay-And-Sum (MLDAS) method to develop a data analysis method for multi-layer concrete structures. The SAFT-MLDAS method is first verified with the experimental data from a three-layer structure with point-like scatters. The method is then further examined with finite element simulation data from a concrete specimen with a 50-mm overlay, and with experimental data from a concrete specimen with a 38-mm silica fume modified concrete overlay. Results indicate that the SAFT-MLDAS method enables improved ultrasonic imaging for multi-layer concrete structures. Its application in imaging bridge decks with overlays improves the accuracy of the testing results, when the estimation of the shear-wave velocity of each layer is accurate.
- Subjects :
- Materials science
Silica fume
Wave propagation
business.industry
Mechanical Engineering
Acoustics
0211 other engineering and technologies
Experimental data
020101 civil engineering
02 engineering and technology
Overlay
Condensed Matter Physics
0201 civil engineering
Ultrasonic imaging
Nondestructive testing
021105 building & construction
Synthetic aperture focusing
General Materials Science
business
Multi layer
Subjects
Details
- ISSN :
- 09638695
- Volume :
- 98
- Database :
- OpenAIRE
- Journal :
- NDT & E International
- Accession number :
- edsair.doi...........be64a3b1bbf13ec24412fe989ec2445a