Rapid Enriched Simulation Application Development with PUMA

Marc Alexander Schweitzer () and Albert Ziegenhagel
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Marc Alexander Schweitzer: Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Albert Ziegenhagel: Fraunhofer Institute for Algorithms and Scientific Computing SCAI

A chapter in Scientific Computing and Algorithms in Industrial Simulations, 2017, pp 207-226 from Springer

Abstract: Abstract In this paper we describe the functionality and the main components of the PUMA software toolkit. PUMA is designed to allow for the rapid development of simulation applications using generalized finite element techniques based on the partition of unity method (PUM). Unlike classical finite element methods (FEM) a PUM can directly utilize user insight, domain-specific information and physics-based basis functions to reduce the computational cost substantially and thereby allows for the rapid evaluation of novel models. We discuss the basic building blocks of the PUMA software framework and present some examples showcasing the capabilities of PUMA and its ease of use.

Keywords: Pumice; Simulation Applications; Classical FEM; PUMA Software; Local Approximation Spaces (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-62458-7_11

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DOI: 10.1007/978-3-319-62458-7_11

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