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Spectral/hp element methods: Recent developments, applications, and perspectives
Imperial College London, UK.
Imperial College London, UK.
Technical University of Denmark, Denmark.
RISE - Research Institutes of Sweden, Safety and Transport, Safety. Aalborg University, Denmark.
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2018 (English)In: Journal of Hydrodynamics, ISSN 1001-6058, E-ISSN 1000-4874, Vol. 30, no 1, p. 1-22Article in journal (Refereed) Published
Abstract [en]

The spectral/hp element method combines the geometric flexibility of the classical h-type finite element technique with the desirable numerical properties of spectral methods, employing high-degree piecewise polynomial basis functions on coarse finite element-type meshes. The spatial approximation is based upon orthogonal polynomials, such as Legendre or Chebychev polynomials, modified to accommodate a C0 - continuous expansion. Computationally and theoretically, by increasing the polynomial order p , high-precision solutions and fast convergence can be obtained and, in particular, under certain regularity assumptions an exponential reduction in approximation error between numerical and exact solutions can be achieved. This method has now been applied in many simulation studies of both fundamental and practical engineering flows. This paper briefly describes the formulation of the spectral/hp element method and provides an overview of its application to computational fluid dynamics. In particular, it focuses on the use of the spectral/hp element method in transitional flows and ocean engineering. Finally, some of the major challenges to be overcome in order´to use the spectral/hp element method in more complex science and engineering applications are discussed

Place, publisher, year, edition, pages
2018. Vol. 30, no 1, p. 1-22
Keyword [en]
High-precision spectral/hp elements, continuous Galerkin method, discontinuous Galerkin method, implicit large eddy
National Category
Computational Mathematics Fluid Mechanics and Acoustics
Identifiers
URN: urn:nbn:se:ri:diva-33283DOI: 10.1007/s42241-018-0001-1OAI: oai:DiVA.org:ri-33283DiVA, id: diva2:1183760
Available from: 2018-02-19 Created: 2018-02-19 Last updated: 2018-04-04Bibliographically approved

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