Japan Society of Civil Engineers 2021 Annual Meeting

Presentation information

第VI部門

山岳トンネル(11)

Thu. Sep 9, 2021 9:30 AM - 10:50 AM VI-8 (Room33)

Chair: Akihiko Hattori

[VI-435] Study of for determining the face shotcrete thickness based on the result of quantitative evaluation of the face by machine learning

〇Kazuya Murakami1, Yasuyuki Miyajima1, Kei Yamashita1, Yusuke Nishizawa1, Hayato Tobe1, Ken Nishioka2, Hideo Tsuru2 (1.Kajima Corporation, 2.Research Institute of Systems Planning, Inc.)

Keywords:tunnel, rock falling, the face shotcrete, machine learning

Please log in with your participant account.
» Participant Log In