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Evaluation of Road Cavity Detection using Road Deflection as a Complementary Method

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  • URLhttps://db.koreascholar.com/Article/Detail/348308
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한국도로학회 (Korean Society of Road Engineers)
초록

This is the abstract section. One paragraph only Road cavities recently in urban are causing collapse of road surface layer due to loss of support bearing capacity. Detecting road cavities with ground penetrating radar(GPR) test, then excavation and backfill are performed in the anticipated cavity area. However sometimes detecting errors are occurred because of the complexity of the GPR test result analysis or interval space between larger gravels. So before unnecessary excavation, verification for detect the cavities results should be needed. The purpose of this study suggest deflection method by the light weight deflectometer(LWD) as a verification way of GPR test results and as a tracking investigation method continuously at the sites having small size cavity. LWD devices has more advantages than larger NDT because FWD has difficulties in a traffic control and entrance of narrow-back road. In this study, LWD tests were conducted on the pavement sections with and without road cavity detected by GPR tests and after excavating the area, the cavity sizes were measured. LWD test results can be applied to verify a subsurface cavity by comparing maximum deflection and deflection ratio between cavity area and non cavity area at the loading center. The higher deflection and lower modulus was measured at cavity sections. Based on the results of the comparative analysis, It is found that deflection method has a possibility of complementary for detecting road cavity. Also cavity size prediction equation was attempted to propose through deflection ratio using a database. Compared with another validation data, the proposed prediction equation is more suitable for detecting cavity existence than size estimation because the average error rate is larger. As a results of the analysis with depth ratio as a factor, it is necessary to improve the cavity size prediction through the normalization using the parameter of road properties.

저자
  • Jun-Seong Choi(Department of Civil and Environmental Engineering, Induk University)
  • Jin-Sung Yoon(Quality Inspection Office Division, Pavement Research Center, Seoul Metropolitan)