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Deep learning‐based automatic detection of muck types for earth pressure balance shield tunneling in soft ground

Author(s): (Key Laboratory of Geotechnical and Underground Engineering, Department of Geotechnical Engineering Tongji University Shanghai China)
(Key Laboratory of Geotechnical and Underground Engineering, Department of Geotechnical Engineering Tongji University Shanghai China)
(Key Laboratory of Geotechnical and Underground Engineering, Department of Geotechnical Engineering Tongji University Shanghai China)
(Shanghai Tunnel Engineering Co., Ltd. Shanghai China)
(Shanghai Tunnel Engineering Co., Ltd. Shanghai China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 7, v. 38
Page(s): 940-955
DOI: 10.1111/mice.12914
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.12914.
  • About this
    data sheet
  • Reference-ID
    10690983
  • Published on:
    24/09/2022
  • Last updated on:
    21/04/2023
 
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