MMIJ 2021,Sapporo
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Session Details

Special session

(Special session/Open call for public) YARO15: Research activities on rock engineering during the COVID-19 pandemic

Thu. Sep 16, 2021 1:00 PM - 2:40 PM JST
Thu. Sep 16, 2021 4:00 AM - 5:40 AM UTC
Room-1 Webex
Chairman:Akira SATO (Kumamoto University)
1:00 PM - 1:20 PM JST(4:00 AM - 4:20 AM UTC)

[3K0109-13-01][Student presentation:Master's Course] Impact of fault and weak rock formation on mining-induced deformation of rock slope in open-cut quarry

○Cheng Zhang1, Amagu Amagu clement1, Jun-ichi Kodama1, Atsushi Sainoki2, Satoshi Ogawa3, Chika Umeda3, Yoshiaki Fujii1, Daisuke Fukuda1 (1. The University of Hokkaido, 2. Kumamoto university, 3. Ryoko Lime Industry Co., Ltd.)
Chairman:Akira SATO (Kumamoto University)
1:20 PM - 1:40 PM JST(4:20 AM - 4:40 AM UTC)

[3K0109-13-02][Student presentation:Master's Course] Study on the effectiveness of displacement controlled support system under squeezing ground conditions

○Koki Fujimoto1, Atsushi Sainoki1, Utsuno Mori2, Date Kensuke2, Yokota Yasuhiro2 (1. Kumamoto university, 2. Kajima corporation )
Chairman:Akira SATO (Kumamoto University)
1:40 PM - 2:00 PM JST(4:40 AM - 5:00 AM UTC)

[3K0109-13-03][Student presentation:Master's Course] Excavation analysis using Hybrid FEM-DEM based on Extrinsic Cohesive Zone Model

○Yutaro Maeda1, Sho Ogata1, Daisuke Fukuda2, Hideaki Yasuhara3, Toru Inui1, Kishida Kiyoshi4 (1. Osaka university, 2. Hokkaido uHokkaido , 3. Ehime university, 4. Kyoto university)
Chairman:Akira SATO (Kumamoto University)
2:00 PM - 2:20 PM JST(5:00 AM - 5:20 AM UTC)

[3K0109-13-04]A Fundamental Study of Dynamic Fracture of Rocks Resulting from Deflagration Phenomena

○Daisuke FUKUDA1, SangHo CHO2, Gyeongjo MIN2, Hongyuan LIU3, Jun-ichi KODAMA1, Yoshiaki FUJII1 (1. Hokkaido University, 2. Jeonbuk National University(Korea), 3. Universtiy of Tasmania(Australia))
Chairman:Akira SATO (Kumamoto University)
2:20 PM - 2:40 PM JST(5:20 AM - 5:40 AM UTC)

[3K0109-13-05][Student presentation:Master's Course] Study on Prediction of Fragmentation Size in Bench Blasting with Machine Learning

○Yoshitaka Nakao1, Takashi Sasaoka1, Akihiro Hamanaka1, Hideki Shimada1, Ryohei Nakai2, Tomohiko Sakiyama2, Masatomo Ichinose3 (1. Kyushu university, 2. Kasuga Mining Co., Ltd., 3. Center of Urban Infrastructure, Environment and Resources)
Chairman:Akira SATO (Kumamoto University)
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