DEVELOPMENT OF AN AUTOPILOT MODEL FOR SHIELD TUNNELING MACHINES BY MACHINE LEARNING
Author:
Affiliation:
1. 株式会社熊谷組 土木事業本部 ICT推進室
2. 大阪大学 大学院工学研究科 環境エネルギー工学専攻
Publisher
Japan Society of Civil Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jscejcei/78/1/78_21/_pdf
Reference35 articles.
1. 1) Zhang, Z. and Ma, L. : Attitude correction system and cooperative control of tunnel boring machine, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 32, No. 11, pp. 111-120, 2018.
2. 2) Mo, H. and Chen, J. : Study on inner force and dislocation of segments caused by shield machine attitude, Tunnelling and Underground Space Technology, Vol. 23, No. 2, pp. 281-291, 2008.
3. 3) Sugimoto, M. and Sramoon, A. : Theoretical model of shield behavior during excavation. I: Theory, Journal of Geotechnical and Geoenvironmental Engineering, Vol. 128, No. 2, pp. 138-155, 2002.
4. 4) Festa, D., Broere W. and Bosch, J. : Kinematic behavior of a tunnel boring machine in soft soil: theory and observation, Tunnelling and Underground Space Technology, Vol. 49, pp. 208-217, 2015.
5. 5) Hu, X., Huang, Y., Yin, Z. and Xiong, Y. : Driving force planning in shield tunneling based on Markov decision processes, Science China Technological Sciences, Vol. 55, No. 4, pp. 1022-1030, 2012.
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