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Real-Time Reliability Analysis in Mechanized Tunneling

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dc.contributor.authorFreitag, Steffen-
dc.contributor.authorCao, Ba-Trung-
dc.contributor.authorMeschke, Günther-
dc.date.accessioned2019-05-14T03:05:23Z-
dc.date.available2019-05-14T03:05:23Z-
dc.date.issued2019-05-26-
dc.identifier.citation13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019-
dc.identifier.isbn979-11-967125-0-1-
dc.identifier.otherICASP13-230-
dc.identifier.urihttps://hdl.handle.net/10371/153411-
dc.description.abstractReal-time reliability analyses of mechanized tunneling processes can help to reduce the risk of tunneling induced damages and failures. In order to support the machine driver to steer the tunnel boring machine, fast simulation models are required. In this work, polymorphic uncertainty modeling approaches are combined with numerical surrogate models to provide reliability measures in real-time during tunnel construction. Based on a finite element simulation model of the mechanized tunneling process, deterministic and fuzzy surrogate models are created step by step to approximate the tunneling induced time variant settlement field and finally to compute fuzzy probability boxes of the settlements in a few minutes.-
dc.description.sponsorshipFinancial support was provided by the German Research Foundation (DFG) in the framework of project C1 of the Collaborative Research Center SFB 837 "Interaction Modeling in Mechanized Tunneling" and by the Mercator Research Center Ruhr (MERCUR) within the project Fusion of Machine Learning and Numerical Simulation for Real- Time Steering in Mechanized Tunneling . This support is gratefully acknowledged.-
dc.language.isoen-
dc.titleReal-Time Reliability Analysis in Mechanized Tunneling-
dc.typeConference Paper-
dc.identifier.doi10.22725/ICASP13.230-
dc.sortNo770-
dc.citation.pages1236-1243-
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