2017
DOI: 10.1016/j.tust.2016.12.004
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A hybrid finite element and surrogate modelling approach for simulation and monitoring supported TBM steering

Abstract: A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. AbstractThe paper proposes a novel computational method for real-time simulation and monitoring-based predictions during the construction of machine-driven tunnels to support decisions … Show more

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Cited by 56 publications
(17 citation statements)
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“…2020, 10, x FOR PEER REVIEW 11 of 19 Figure 10 shows the contours of the circumferential strain and the deformations of the measured segment at three stages. When the second tunnel is far from the measured cross-section (Figure 10a), the deformed configuration of the segment, scaled with factor 200, presents a slight difference with that calculated by Ninić [46] with respect to a straight-line shield tunnel. The difference is that the deformations at the inner side of the curved tunnel are larger than those at the outer side.…”
Section: Comparison Of Numerical and Monitored Resultsmentioning
confidence: 69%
“…2020, 10, x FOR PEER REVIEW 11 of 19 Figure 10 shows the contours of the circumferential strain and the deformations of the measured segment at three stages. When the second tunnel is far from the measured cross-section (Figure 10a), the deformed configuration of the segment, scaled with factor 200, presents a slight difference with that calculated by Ninić [46] with respect to a straight-line shield tunnel. The difference is that the deformations at the inner side of the curved tunnel are larger than those at the outer side.…”
Section: Comparison Of Numerical and Monitored Resultsmentioning
confidence: 69%
“…In the course of the research work described here, meta models were trained with a large number of simulation runs, which could be performed in the design phase of a project. These are based on the design data for the project with the objective of numerical analysis and the important parameters, which are identified in a sensitivity analysis [22]. The already described SatBim framework was used in order to efficiently create the large number of simula tion models with the required design variants (Figure 2).…”
Section: Simulation-based Surrogate Modelsmentioning
confidence: 99%
“…Im Rahmen der hier vorgestellten Forschungsarbeiten wurden Metamodelle mit einer großen Anzahl von Simu lationsläufen trainiert, die in der Designphase eines Pro jekts durgeführt werden könnten. Diese basieren auf den Entwurfsdaten für das Projekt, dem Ziel der numerischen Analyse und den wichtigen Parametern, die in einer Sensi tivitätsanalyse erkannt wurden [22]. Das Therefore in SatBim, the simulation results are evalu ated with a userdefined algorithm in Dynamo [16] and then visualised.…”
Section: Simulationsbasierte Ersatzmodelleunclassified
“…Their model was constructed with the use of the polynomial regression and the Kriging interpolation and it was able to predict the fracture toughness of polymeric nanocomposites with low computational costs and high accuracy. In the work of Ninić, Freitag, and Meschke (2017), surrogate modeling approach was combined with the FE simulation to provide efficient optimization of the tunnelsteering parameters in real time. This supports the decision making during the tunneling process.…”
Section: Introductionmentioning
confidence: 99%