TY - JOUR
T1 - An energy-stable generalized-
α
method for the Swift–Hohenberg equation
AU - Sarmiento, Adel
AU - Espath, Luis
AU - Vignal, P.
AU - Dalcin, Lisandro
AU - Parsani, Matteo
AU - Calo, V.M.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This publication was made possible in part by the CSIRO Professorial Chair in Computational Geoscience at Curtin University and the Deep Earth Imaging Enterprise Future Science Platforms of the Commonwealth Scientific Industrial Research Organisation, CSIRO, of Australia. Additional support was provided by the European Union’s Horizon 2020 Research and Innovation Program of the Marie Skłodowska-Curie grant agreement No. 644602 and the Curtin Institute for Computation. The J. Tinsley Oden Faculty Fellowship Research Program at the Institute for Computational Engineering and Sciences (ICES) of the University of Texas at Austin has partially supported the visits of VMC to ICES.
PY - 2017/11/16
Y1 - 2017/11/16
N2 - We propose a second-order accurate energy-stable time-integration method that controls the evolution of numerical instabilities introducing numerical dissipation in the highest-resolved frequencies. Our algorithm further extends the generalized-α method and provides control over dissipation via the spectral radius. We derive the first and second laws of thermodynamics for the Swift–Hohenberg equation and provide a detailed proof of the unconditional energy stability of our algorithm. Finally, we present numerical results to verify the energy stability and its second-order accuracy in time.
AB - We propose a second-order accurate energy-stable time-integration method that controls the evolution of numerical instabilities introducing numerical dissipation in the highest-resolved frequencies. Our algorithm further extends the generalized-α method and provides control over dissipation via the spectral radius. We derive the first and second laws of thermodynamics for the Swift–Hohenberg equation and provide a detailed proof of the unconditional energy stability of our algorithm. Finally, we present numerical results to verify the energy stability and its second-order accuracy in time.
UR - http://hdl.handle.net/10754/626194
UR - http://www.sciencedirect.com/science/article/pii/S0377042717305642
UR - http://www.scopus.com/inward/record.url?scp=85035243114&partnerID=8YFLogxK
U2 - 10.1016/j.cam.2017.11.004
DO - 10.1016/j.cam.2017.11.004
M3 - Article
AN - SCOPUS:85035243114
VL - 344
SP - 836
EP - 851
JO - Journal of Computational and Applied Mathematics
JF - Journal of Computational and Applied Mathematics
SN - 0377-0427
ER -