Type
ArticleKAUST Grant Number
UK-c0020Date
2011-07-27Online Publication Date
2011-07-27Print Publication Date
2011-09Permanent link to this record
http://hdl.handle.net/10754/600051
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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 simulationsPublisher
Springer NatureJournal
Computational Mechanicsae974a485f413a2113503eed53cd6c53
10.1007/s00466-011-0626-1