The failures of culverts can result in water and soil loss in the surrounding subsurface,leading to collapses.In densely constructed urban areas,buried culverts are inaccessible and invisible,making Ground Penetrating...The failures of culverts can result in water and soil loss in the surrounding subsurface,leading to collapses.In densely constructed urban areas,buried culverts are inaccessible and invisible,making Ground Penetrating Radar(GPR)inspection a widely adopted nondestructive and efficient method.Previous research has employed artificial intelligence to automate GPR interpretation by identifying special radargram textures,but the irregular GPR responses of degraded subsurface soils present a challenge.Therefore,this study proposes a method for preliminary diagnosing large-scale culverts based on GPR wave attributes.The method comprises three parts:(1)evaluating soil compactness by estimating the tortuosity of GPR responses at the culvert top;(2)investigating soil moisture using the attenuation rate of GPR responses;and(3)overlaying the results of the incompact and moist soils to pinpoint potential degradations.Two long-distance culverts were inspected and diagnosed using the proposed method,and three abnormal sections were identified and confirmed by excavation evaluation.The case studies indicate that the proposed method can quickly provide reference for further in-depth investigation,thereby improving GPR survey efficiency and reducing workload by narrowing the investigation scope.Consequently,this study can facilitate large-scale GPR culvert surveys and further safeguard the water system.展开更多
基金supported by National Natural Science Foundation of China[grant number 42204148]Shenzhen Science and Technology Innovation Commission[grant number 20220810173255002].
文摘The failures of culverts can result in water and soil loss in the surrounding subsurface,leading to collapses.In densely constructed urban areas,buried culverts are inaccessible and invisible,making Ground Penetrating Radar(GPR)inspection a widely adopted nondestructive and efficient method.Previous research has employed artificial intelligence to automate GPR interpretation by identifying special radargram textures,but the irregular GPR responses of degraded subsurface soils present a challenge.Therefore,this study proposes a method for preliminary diagnosing large-scale culverts based on GPR wave attributes.The method comprises three parts:(1)evaluating soil compactness by estimating the tortuosity of GPR responses at the culvert top;(2)investigating soil moisture using the attenuation rate of GPR responses;and(3)overlaying the results of the incompact and moist soils to pinpoint potential degradations.Two long-distance culverts were inspected and diagnosed using the proposed method,and three abnormal sections were identified and confirmed by excavation evaluation.The case studies indicate that the proposed method can quickly provide reference for further in-depth investigation,thereby improving GPR survey efficiency and reducing workload by narrowing the investigation scope.Consequently,this study can facilitate large-scale GPR culvert surveys and further safeguard the water system.
