Diagnosis of the culvert lining based on the integration of GPR and LiDAR

Abstract

PreviousNext No Access19th International Conference on Ground Penetrating RadarDiagnosis of the culvert lining based on the integration of GPR and LiDARAuthors: Yanfeng ZhouTess LuoYanfeng ZhouShenzhen UniversitySearch for more papers by this author and Tess LuoShenzhen UniversitySearch for more papers by this authorhttps://doi.org/10.1190/gpr2022-095.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract During operation, water delivery culverts may suffer from various defects such as cracks, delamination, cavities, and looseness. It is of vital importance to inspect the health condition of subsurface culverts, to maintain the safe operation of hydrology infrastructure. Non-destructive testing (NDT) methods that can inspect the culvert structure without excavation. However, since each NDT method has its own advantage and disadvantage, a defect cannot be determined by a single measurement. This study proposed a hybrid method to diagnose the culvert lining by combining Ground Penetrating Radar (GPR) and light detection and ranging (LiDAR). Firstly, LiDAR is applied to fast scan the lining surface to localize cracks and seepages from the surface. Then GPR survey is conducted on the sidewall of the culvert, to image and validate whether there is separation or voids occurring at these abnormal areas. Finally, a diagnosis with more confidence can be obtained by interpreting data from two techniques. To improve the accuracy of GPR interpretation, GPRMAX 3.0 was used to numerically modelled the GPR responses of typical culvert lining defects (cracks and layer separation). A case study was conducted in Shenzhen, China. The acquired GPR data was analyzed based on the numerical simulation. The inspection results of GPR and LiDAR, in terms of defect location, size, and severity, were found consistent. When a defect is extracted from both GPR and LiDAR measurements, it is more serious that needs proper maintenance. The study proves the feasibility of inspecting the culvert lining from both surface and subsurface. Keywords: ground-penetrating radar (GPR), hydrology, imaging, time-domain, electromagnetic Permalink: https://doi.org/10.1190/gpr2022-095.1FiguresReferencesRelatedDetails 19th International Conference on Ground Penetrating RadarISSN (online):2159-6832Copyright: 2022 Pages: 166 publication data© 2022 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 13 Oct 2022 CITATION INFORMATION Yanfeng Zhou and Tess Luo, (2022), "Diagnosis of the culvert lining based on the integration of GPR and LiDAR," SEG Global Meeting Abstracts : 71-74. https://doi.org/10.1190/gpr2022-095.1 Plain-Language Summary Keywordsground-penetrating radar (GPR)hydrologyimagingtime-domainelectromagnetic PDF DownloadLoading ...