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Efficient Parameter Identification for THM Behaviour of Claystone Using Optimization Methods

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Advances in Laboratory Testing and Modelling of Soils and Shales (ATMSS) (ATMSS 2017)

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Abstract

In the framework of the research for the thermo-hydro-mechanical effects of the clay host rock of a deep repository a numerical model to analyse the rock behaviour in response to heating was developed. The paper shows the developement of a 3D Thermal-Hydraulic-Mechanical (THM) simulator by coupling parametric modeling and implicit FE simulation environment in ANSYS. To calibrate the numerical model to the in-situ experimental results, powerfull methods of sensitivity analysis using optimized stochastic sampling strategies and optimization algorithms where used.

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References

  • Dynardo 2010: multiPlas – elastoplastic material models for ANSYSn version 6.0. DYNARDO GmbH, Weimar, 2010, user’s manual

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  • Dynardo 2016: OPTISLANG - the optimizing Structural Language version 5.1.1, DYNARDO GmbH, Weimar, user’s manual

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  • Most T, Will J (2011) Sensitivity analysis using the Metamodel of Optimal Prognosis. In: Weimar Optimization and Stochastic Days 2011, Conference Proceedings

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  • Gens A, Vaunat J, Garitte B, Wileveau Y (2006) Response of a saturated mudstone under excavation and thermal loading. In: Proceedings of Eurock 2006, multiphysics coupling and long term behaviour in rock mechanics, Liège, Belgium, pp. 35–44

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Author information

Authors and Affiliations

  1. Dynardo GmbH Weimar, Steubenstraße 25, 99423, Weimar, Germany

    Roger Schlegel & Johannes Will

Authors
  1. Roger Schlegel
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  2. Johannes Will
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Corresponding author

Correspondence to Roger Schlegel .

Editor information

Editors and Affiliations

  1. École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Alessio Ferrari

  2. École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Lyesse Laloui

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Schlegel, R., Will, J. (2017). Efficient Parameter Identification for THM Behaviour of Claystone Using Optimization Methods. In: Ferrari, A., Laloui, L. (eds) Advances in Laboratory Testing and Modelling of Soils and Shales (ATMSS). ATMSS 2017. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-319-52773-4_55

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  • DOI: https://doi.org/10.1007/978-3-319-52773-4_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52772-7

  • Online ISBN: 978-3-319-52773-4

  • eBook Packages: EngineeringEngineering (R0)

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