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Structural health monitoring of sabo check dams with cosmic-ray muography.
Oláh, László; Tanaka, Hiroyuki K M; Mori, Toshio; Sakatani, Yukihiko; Varga, Dezso.
Affiliation
  • Oláh L; Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo 113-0032, Japan.
  • Tanaka HKM; International Muography Research Organization (MUOGRAPHIX), The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan.
  • Mori T; International Virtual Muography Institute (VMI), Global, Tokyo, Japan.
  • Sakatani Y; Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo 113-0032, Japan.
  • Varga D; International Muography Research Organization (MUOGRAPHIX), The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan.
iScience ; 26(10): 108019, 2023 Oct 20.
Article in En | MEDLINE | ID: mdl-37841596
Debris dams have a crucial role in consolidation of river basins and allow erosion control, flood protection in mountainous areas. Many of these infrastructures have operated over five decades, thus structural health monitoring (SHM) of these infrastructures became timely due to their aging. Utilizing new techniques is required for inspecting a large number of dams and deciding about their reinforcement or reconstruction. In this work, we propose cosmic-ray muography as a complementary tool for the SHM of debris dams. We conducted the first muographic surveying of a sabo check dam in the Karasu River, Gunma, Japan. The average mass density image was produced with a spatial resolution of 0.5 m through the dam. The comparison of density data reconstructed by muography and gamma-ray logging suggest the internal deterioration of dam in the region where cement released out from the embankment body.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2023 Document type: Article Affiliation country: Japan Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2023 Document type: Article Affiliation country: Japan Country of publication: United States