A hybrid finite element and surrogate modelling approach for simulation and monitoring supported TBM steering

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A hybrid finite element and surrogate modelling approach for simulation and monitoring supported TBM steering

The paper proposes a novel computational method for real-time simulation and monitoring-based predictions during the construction of machine-driven tunnels to support decisions concerning the steering of tunnel boring machines (TBMs). The proposed technique combines the capacity of a process-oriente...

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Bibliographic Details
Main Authors:	Ninic, Jelena, Freitag, Steffen, Meschke, Günther
Format:	Article
Published:	Elsevier 2017
Subjects:	Mechanized tunnelling; Finite element method; Parameter identification; Surrogate model; Recurrent neural network; Computational steering; Tunnel boring machine; Monitoring; Settlements; Real-time prediction
Online Access:	https://eprints.nottingham.ac.uk/39633/

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