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Prediction of TBM Advance Rate Considering Geotechnical and Operating Risks: An Example of the Lanzhou Long Water Conveyance Tunnel, China
by
Yang, Jihua
, Yao Wenmin
, Wang Hejian
, Yang, Fengwei
, Yan Changbin
in
Algorithms
/ Boring machines
/ Civil engineering
/ Drilling & boring machinery
/ Efficiency
/ Jamming
/ Neural networks
/ Propagation
/ Risk assessment
/ Tunnels
/ Water conveyance
2022
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Prediction of TBM Advance Rate Considering Geotechnical and Operating Risks: An Example of the Lanzhou Long Water Conveyance Tunnel, China
by
Yang, Jihua
, Yao Wenmin
, Wang Hejian
, Yang, Fengwei
, Yan Changbin
in
Algorithms
/ Boring machines
/ Civil engineering
/ Drilling & boring machinery
/ Efficiency
/ Jamming
/ Neural networks
/ Propagation
/ Risk assessment
/ Tunnels
/ Water conveyance
2022
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Do you wish to request the book?
Prediction of TBM Advance Rate Considering Geotechnical and Operating Risks: An Example of the Lanzhou Long Water Conveyance Tunnel, China
by
Yang, Jihua
, Yao Wenmin
, Wang Hejian
, Yang, Fengwei
, Yan Changbin
in
Algorithms
/ Boring machines
/ Civil engineering
/ Drilling & boring machinery
/ Efficiency
/ Jamming
/ Neural networks
/ Propagation
/ Risk assessment
/ Tunnels
/ Water conveyance
2022
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Prediction of TBM Advance Rate Considering Geotechnical and Operating Risks: An Example of the Lanzhou Long Water Conveyance Tunnel, China
Journal Article
Prediction of TBM Advance Rate Considering Geotechnical and Operating Risks: An Example of the Lanzhou Long Water Conveyance Tunnel, China
2022
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Overview
HighlightsA novel BAS-DNN model for prediction of TBM advance rate is developed.A database involving geotechnical and operating risks (RMR, TWCR, and RI) is set up.Quadratic relationships exist between RMR, TWCR, and AR.AR decreases while the descending rate gradually increases with RI increasing.The BAS-DNN model shows good performance in the tunnel section with a jamming event.
Publisher
Springer Nature B.V
Subject
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