Monitoring the deformation of the road surface and the concrete lining is indispensable to verify the tunnel’s structural integrity in the maintenance and management of mountain tunnels. Detecting and understanding these deformations are crucial to ensure the tunnel’s safety and usability. Any observed deformation could indicate potential structural issues, necessitating early detection and appropriate countermeasures. Recently, Terrestrial Laser Scanner (TLS) has been used in tunnel construction projects, which can obtain 3D point cloud data by irradiating and scanning an object with a laser. However, more practical application is needed in maintenance management. This study focuses on in-service road tunnels constructed in the 1990s and attempts to identify deformations of the road surface and lining surface by scanning the inner of the entire tunnels every year since 2017. As a result of the scan, we grasped the micro deformation of the road surface and lining. In addition, by combining 3D point cloud data and regularly collected images of lining inspection, it was possible to evaluate the cause of cracks on the surface of lining concrete. Furthermore, we revealed the possibility of effective and efficient maintenance management by integrating with the life cycle data.

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Fundamental Study of Lining and Road Maintenance Management of In-Service Road Tunnel Combined 3D Point Clouds and Life Cycle Data

  • Hiroyuki Honda,
  • Trissha Anneta,
  • Hisatoshi Taniguchi,
  • Yasuhiro Mitani

摘要

Monitoring the deformation of the road surface and the concrete lining is indispensable to verify the tunnel’s structural integrity in the maintenance and management of mountain tunnels. Detecting and understanding these deformations are crucial to ensure the tunnel’s safety and usability. Any observed deformation could indicate potential structural issues, necessitating early detection and appropriate countermeasures. Recently, Terrestrial Laser Scanner (TLS) has been used in tunnel construction projects, which can obtain 3D point cloud data by irradiating and scanning an object with a laser. However, more practical application is needed in maintenance management. This study focuses on in-service road tunnels constructed in the 1990s and attempts to identify deformations of the road surface and lining surface by scanning the inner of the entire tunnels every year since 2017. As a result of the scan, we grasped the micro deformation of the road surface and lining. In addition, by combining 3D point cloud data and regularly collected images of lining inspection, it was possible to evaluate the cause of cracks on the surface of lining concrete. Furthermore, we revealed the possibility of effective and efficient maintenance management by integrating with the life cycle data.