Enhancements of the G-Scheme Framework

The G-Scheme is a well established framework for multi-scale adaptive model reduction, whose effectiveness was demonstrated with reference to a number of test models, together with an identification of the critical areas that were in need of further theoretical and computational refinement. In this...

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Published inFlow, turbulence and combustion Vol. 101; no. 4; pp. 1023 - 1033
Main Authors Valorani, Mauro, Ciottoli, Pietro Paolo, Malpica Galassi, Riccardo, Paolucci, Samuel, Grenga, Temistocle, Martelli, Emanuele
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.12.2018
Springer Nature B.V
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Abstract The G-Scheme is a well established framework for multi-scale adaptive model reduction, whose effectiveness was demonstrated with reference to a number of test models, together with an identification of the critical areas that were in need of further theoretical and computational refinement. In this communication, we report on how we enhanced the solver performance. Two new features involving (i) the criteria to identify the fast and slow subspace dimensions, and (ii) a criterion to decide if and when the reuse of the CSP Basis is feasible without deteriorating the overall performance of the solver, have been proved able to increase significantly the computational efficiency of the solver without sacrificing its accuracy.
AbstractList The G-Scheme is a well established framework for multi-scale adaptive model reduction, whose effectiveness was demonstrated with reference to a number of test models, together with an identification of the critical areas that were in need of further theoretical and computational refinement. In this communication, we report on how we enhanced the solver performance. Two new features involving (i) the criteria to identify the fast and slow subspace dimensions, and (ii) a criterion to decide if and when the reuse of the CSP Basis is feasible without deteriorating the overall performance of the solver, have been proved able to increase significantly the computational efficiency of the solver without sacrificing its accuracy.
The G-Scheme is a well established framework for multi-scale adaptive model reduction, whose effectiveness was demonstrated with reference to a number of test models, together with an identification of the critical areas that were in need of further theoretical and computational refinement. In this communication, we report on how we enhanced the solver performance. Two new features involving (i) the criteria to identify the fast and slow subspace dimensions, and (ii) a criterion to decide if and when the reuse of the CSP Basis is feasible without deteriorating the overall performance of the solver, have been proved able to increase significantly the computational efficiency of the solver without sacrificing its accuracy.
Author Paolucci, Samuel
Valorani, Mauro
Ciottoli, Pietro Paolo
Malpica Galassi, Riccardo
Martelli, Emanuele
Grenga, Temistocle
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  fullname: Ciottoli, Pietro Paolo
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  surname: Malpica Galassi
  fullname: Malpica Galassi, Riccardo
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  fullname: Paolucci, Samuel
  organization: University of Notre Dame
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  givenname: Temistocle
  surname: Grenga
  fullname: Grenga, Temistocle
  organization: Princeton University
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  surname: Martelli
  fullname: Martelli, Emanuele
  organization: Campania University “L. Vanvitelli”
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Cites_doi 10.1002/kin.550260408
10.1016/S0010-2180(01)00373-X
10.1080/13647830.2016.1243733
10.1016/j.jcp.2009.03.011
10.1016/j.combustflame.2005.03.005
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Keywords Autoignition
Explicit solvers
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Chemical kinetics
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CR5
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Curran, Gaffuri, Pitz, Westbrook (CR6) 2002; 36
Valorani, Paolucci, Ciottoli, Malpica Galassi (CR4) 2017; 21
F Buda (9942_CR7) 2005; 142
HJ Curran (9942_CR6) 2002; 36
M Valorani (9942_CR1) 2009; 228
SH Lam (9942_CR3) 1994; 26
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M Valorani (9942_CR4) 2017; 21
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SubjectTerms Automotive Engineering
Computing time
Engineering
Engineering Fluid Dynamics
Engineering Thermodynamics
Fluid- and Aerodynamics
Heat and Mass Transfer
Model reduction
Title Enhancements of the G-Scheme Framework
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