Imaging Concrete Structures with Ultrasonic Shear Waves—Technology Development and Demonstration of Capabilities
Author(s): |
Kien Dinh
(Department of Civil Engineering, Embry-Riddle Aeronautical University, Dayton Beach, FL 32114, USA)
Khiem Tran (Department of Civil & Coastal Engineering, University of Florida, Gainesville, FL 32611, USA) Nenad Gucunski (Department of Civil & Environmental Engineering, Rutgers University, New Brunswick, NJ 08901, USA) Christopher C. Ferraro (Department of Civil & Coastal Engineering, University of Florida, Gainesville, FL 32611, USA) Tu Nguyen (NDT Concrete LLC, Deltona, FL 32725, USA) |
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Medium: | journal article |
Language(s): | English |
Published in: | Infrastructures, March 2023, n. 3, v. 8 |
Page(s): | 53 |
DOI: | 10.3390/infrastructures8030053 |
Abstract: |
Since 1987 when dry-point-contact (DPC) transducers were invented in the USSR, ultrasonic shear wave devices based on those transducers have been commercialized and have become one of the most effective technologies for imaging concrete. That said, the objectives of this paper are (1) to provide a brief review of the historical development of these powerful devices and (2) to provide a comprehensive assessment of their capabilities in imaging internal entities and structural defects. Regarding the former, the paper presents the context that gave birth to DPC technology and different generations of ultrasonic shear wave devices for concrete inspection. For the latter, one of the state-of-the-art ultrasonic shear wave devices (MIRA 3D) was used to collect data on concrete specimens with different built-in flaws/defects. Those data are then visualized with a commonly used data processing algorithm, the so-called synthetic aperture focusing technique (SAFT). Finally, based on the resulting images, the capabilities of the device are discussed in detail for each concrete imaging problem. A main limitation of ultrasonic shear wave technique for concrete inspection is that it requires a significant amount of time and effort for data collection. |
Copyright: | © 2023 the Authors. Licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10722718 - Published on:
22/04/2023 - Last updated on:
10/05/2023