We consider the Navier-Stokes equations in a channel with a narrowing of varying height. The model is discretized with high-order spectral element ansatz functions, resulting in 6372 degrees of freedom. The steady-state snapshot solutions define a reduced order space through a standard POD procedure. The reduced order space allows to accurately and efficiently evaluate the steady-state solutions for different geometries. In particular, we detail different aspects of implementing the reduced order model in combination with a spectral element discretization. It is shown that an expansion in element-wise local degrees of freedom can be combined with a reduced order modelling approach to enhance computational times in parametric many-query scenarios.

A spectral element reduced basis method for navier–stokes equations with geometric variations / Hess, M. W.; Quaini, A.; Rozza, G.. - 134:(2020), pp. 561-571. (Intervento presentato al convegno 12th International Conference on Spectral and High-Order Methods, ICOSAHOM 2018 tenutosi a London; United Kingdom nel 2018) [10.1007/978-3-030-39647-3_45].

A spectral element reduced basis method for navier–stokes equations with geometric variations

Hess M. W.;Rozza G.
2020-01-01

Abstract

We consider the Navier-Stokes equations in a channel with a narrowing of varying height. The model is discretized with high-order spectral element ansatz functions, resulting in 6372 degrees of freedom. The steady-state snapshot solutions define a reduced order space through a standard POD procedure. The reduced order space allows to accurately and efficiently evaluate the steady-state solutions for different geometries. In particular, we detail different aspects of implementing the reduced order model in combination with a spectral element discretization. It is shown that an expansion in element-wise local degrees of freedom can be combined with a reduced order modelling approach to enhance computational times in parametric many-query scenarios.
2020
Lecture Notes in Computational Science and Engineering
134
561
571
978-3-030-39646-6
978-3-030-39647-3
Springer
Hess, M. W.; Quaini, A.; Rozza, G.
File in questo prodotto:
File Dimensione Formato  
1812.11051.pdf

accesso aperto

Tipologia: Documento in Post-print
Licenza: Non specificato
Dimensione 509.54 kB
Formato Adobe PDF
509.54 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/117815
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? ND
social impact