第VI部門

検査技術・診断(1)

Thu. Sep 9, 2021 9:30 AM - 10:50 AM VI-5 (Room30)

Chair: Akira Eriguchi

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[VI-326] Analysis of the Basis for Diagnosis in Bridge Inspection Data Using the Random Forest Model

〇Shinichiro Kita¹, Nobuaki Sakurai¹, Akito Sakurai² (1.NIPPON STEEL ENGINEERING CO., LTD., 2.Yokohama National University)

[VI-327] Detecting delamination within asphalt pavements of airfield runways with using machine learning

〇Yusuke Fujisaku¹, Hideki Naito¹, Yu Shirai², Takuya Maeshima³ (1.Tohoku University, 2.NIPPO Corporation, 3.Nihon University)

[VI-328] Detection method of equipment and deterioration area in communication cable tunnel using deep learning

〇Kazuaki Watanabe¹, Daisuke Uchibori¹, Yousuke Sakurada¹, Atsushi Aratake¹ (1.NTT Access Network Service Systems Laboratories)

[VI-329] Hit sound inspection using machine learning technique

〇chitose kuroda¹, noriyuki utagawa¹, moritoshi yasunaga² (1.satokogyo co.,ltd., 2.tsukuba university)

[VI-330] Examination of infrared road surface survey method for the purpose of reducing the work of determining the damage range due to tapping sound

〇Tomohiro Ueda¹, Kazuaki Kawashima², Ryo Takeda³, Kengo Obama⁴ (1.West Nippon Expressway Engineering Chugoku, 2.PASCO, 3.West Nippon Expressway, 4.Osaka University)

[VI-331] A method for detecting fatigue crack in steel finger joints using Accelerometers

〇nobuhiro Shiraishi¹, masayuki Yamamoto¹, Obama Kengo² (1.West Nippon Expressway Engineering Chugoku Co., Ltd, 2.Graduate School of Engineering Osaka University.)

[VI-332] Screening of subway tunnel hammering test section by statistical analysis

〇Yuji Morohashi¹, Yuki Enokidani¹, Yukihiro Ishikawa¹, Yuki Wakuda², Motoki Oyama², Shinji Konishi¹ (1.TokyoMetro, 2.HOKKAIDO UNIVERSITY)

[VI-333] A damage detection method using the mel frequency cepstrum of tapping sound

〇takashi watanabe¹, masakazu jomoto¹, Thuyet Dang¹ (1.Taisei Rotec Corporation)

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