Abstract
Ground-based radar interferometry, which can be specifically classified as ground-based synthetic aperture radar (GB-SAR) and ground-based real aperture radar (GB-RAR), was applied to monitor the Liusha Peninsula landslide and Baishazhou Yangtze River Bridge. The GB-SAR technique enabled us to obtain the daily displacement evolution of the landslide, with a maximum cumulative displacement of 20 mm in the 13-day observation period. The virtual reality-based panoramic technology (VRP) was introduced to illustrate the displacement evolutions intuitively and facilitate the following web-based panoramic image browsing. We applied GB-RAR to extract the operational modes of the large bridge and compared them with the global positioning system (GPS) measurement. Through full-scale test and time-frequency result analysis from two totally different monitoring methods, this paper emphasized the 3-D display potentiality by combining the GB-SAR results with VRP, and focused on the detection of multi-order resonance frequencies, as well as the configure improvement of ground-based radars in bridge health monitoring.
Highlights
Spaceborne synthetic aperture radar (SAR) systems, from the pioneer SEASAT to the present Sentinel-1 satellite, provide a powerful tool for deformation measurement with millimeter accuracy by adopting differential interferometry or multi-temporal interferometry [1,2]
For the ground-based synthetic aperture radar (GB-SAR), its antenna is synthetically elongated by moving the radar along a rail track perpendicular to the look direction
Unlike GB-SAR, the ground-based real aperture radar (GB-RAR), with a radar sensor mounted on a tripod transmitting and receiving pulses of energy, can only obtain the range resolution but with a higher sampling rate [13,21]
Summary
Spaceborne synthetic aperture radar (SAR) systems, from the pioneer SEASAT to the present Sentinel-1 satellite, provide a powerful tool for deformation measurement with millimeter accuracy by adopting differential interferometry or multi-temporal interferometry [1,2]. Existing literatures have shown GB-SARs and GB-RARs as powerful tools for extracting the two-dimensional displacement evolution of a large scene or dynamic vibration parameters of a manmade structure, there is still room for improvement in the interpretation and exhibition of these GBRI-derived results, on-surveying, and mapping professionals For those modal shape parameters extracted from frequency or time domain methods, most studies have emphasized the methods of modal-parameter identification and validation using different sensors dataset, but have neglected further discussion of the modal assurance criterion diagrams (MAC) between multiple mode shapes that is sensitive to damage scenarios examination, e.g., Gentile et al [21], Stabile et al [22], Hu et al [24], Luzi et al [25], and Xi et al [28].
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call