Abstract
Fiber-reinforced polymer (FRP) composites are known for their outstanding strength, stiffness, corrosion resistance, and light weight nature, which are used in such fields as aerospace, marine, automotive, and construction industries. Although, FRP composites have many advantages, as compared to metals, defects may occur during the production process or during the service life due of the laminated structure. Therefore, there is a growing demand for nondestructive testing (NDT) approaches that can pre-detect such defects before they become critical and cause failure. Radio frequency (RF) signals are able to penetrate dielectric materials with relatively low loss, which make microwave NDT an attractive solution among the other numerous inspection techniques. This paper presents the theory and development of an ultrawideband (UWB) microwave imaging system, covering 8.2 to 12.4 GHz frequency band, based synthetic aperture radar (SAR) algorithms designed to detect damages and defects within the FRP structures.
| Original language | English (US) |
|---|---|
| Title of host publication | 32nd Technical Conference of the American Society for Composites 2017 |
| Editors | R. Byron Pipes, Wenbin Yu, Johnathan Goodsell |
| Publisher | DEStech Publications Inc. |
| Pages | 2378-2393 |
| Number of pages | 16 |
| ISBN (Electronic) | 9781510853065 |
| State | Published - 2017 |
| Event | 32nd Technical Conference of the American Society for Composites 2017 - West Lafayette, United States Duration: Oct 23 2017 → Oct 25 2017 |
Publication series
| Name | 32nd Technical Conference of the American Society for Composites 2017 |
|---|---|
| Volume | 4 |
Other
| Other | 32nd Technical Conference of the American Society for Composites 2017 |
|---|---|
| Country/Territory | United States |
| City | West Lafayette |
| Period | 10/23/17 → 10/25/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
All Science Journal Classification (ASJC) codes
- Ceramics and Composites
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