Ensemble Timestepping Algorithms for Natural Convection

Ensemble Timestepping Algorithms for Natural Convection

Year:    2018

Author:    Joseph Anthony Fiordilino, Sarah Khankan

International Journal of Numerical Analysis and Modeling, Vol. 15 (2018), Iss. 4-5 : pp. 524–551

Abstract

This paper presents two algorithms for calculating an ensemble of solutions to laminar natural convection problems. The ensemble average is the most likely temperature distribution and its variance gives an estimate of prediction reliability. Solutions are calculated by solving two coupled linear systems, each involving a shared coefficient matrix, for multiple right-hand sides at each timestep. Storage requirements and computational costs to solve the system are thereby reduced. Stability and convergence of the method are proven under a timestep condition involving fluctuations. A series of numerical tests, including predictability horizons, are provided which confirm the theoretical analyses and illustrate uses of ensemble simulations.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2018-IJNAM-12529

International Journal of Numerical Analysis and Modeling, Vol. 15 (2018), Iss. 4-5 : pp. 524–551

Published online:    2018-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    28

Keywords:    Natural convection Ensemble calculation Uncertainty quantification Finite element method.

Author Details

Joseph Anthony Fiordilino

Sarah Khankan