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    Towards multi-phase flow simulations in the PDE framework Peano

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    Type
    Article
    Authors
    Bungartz, Hans-Joachim
    Gatzhammer, Bernhard
    Lieb, Michael
    Mehl, Miriam
    Neckel, Tobias
    KAUST Grant Number
    UK-c0020
    Date
    2011-07-27
    Online Publication Date
    2011-07-27
    Print Publication Date
    2011-09
    Permanent link to this record
    http://hdl.handle.net/10754/600051
    
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    Abstract
    In this work, we present recent enhancements and new functionalities of our flow solver in the partial differential equation framework Peano. We start with an introduction including an overview of the Peano development and a short description of the basic concepts of Peano and the flow solver in Peano concerning the underlying structured but adaptive Cartesian grids, the data structure and data access optimisation, and spatial and time discretisation of the flow solver. The new features cover geometry interfaces and additional application functionalities. The two geometry interfaces, a triangulation-based description supported by the tool preCICE and a built-in geometry using geometry primitives such as cubes, spheres, or tetrahedra allow for the efficient treatment of complex and changing geometries, an essential ingredient for most application scenarios. The new application functionality concerns a coupled heat-flow problem and two-phase flows. We present numerical examples, performance and validation results for these new functionalities. © 2011 Springer-Verlag.
    Citation
    Bungartz H-J, Gatzhammer B, Lieb M, Mehl M, Neckel T (2011) Towards multi-phase flow simulations in the PDE framework Peano. Comput Mech 48: 365–376. Available: http://dx.doi.org/10.1007/s00466-011-0626-1.
    Sponsors
    The work presented in this paper has been supported by the Institute for Advanced Study (IAS) and the International Graduate School of Science and Engineering (IGSSE) of the Technische Universitat Munchen. This support is gratefully acknowledged. Furthermore, this publication is partially based on work supported by Award No. UK-c0020, made by the King Abdullah University of Science and Technology (KAUST). We thank Philipp Schoeffel and Fabian Weyermann of the GRS (Gesellschaft fur Anlagen- und Reaktorsicherheit, Garching, Germany) for their support concerning the Cold Leg scenario and related simulations
    Publisher
    Springer Nature
    Journal
    Computational Mechanics
    DOI
    10.1007/s00466-011-0626-1
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00466-011-0626-1
    Scopus Count
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