Galerkin proper orthogonal decomposition-reduced order method (POD-ROM) for solving generalized Swift-Hohenberg equation

M Dehghan, M Abbaszadeh, A Khodadadian… - International Journal of …, 2019 - emerald.com
International Journal of Numerical Methods for Heat & Fluid Flow, 2019emerald.com
Purpose The current paper aims to develop a reduced order discontinuous Galerkin method
for solving the generalized Swift–Hohenberg equation with application in biological science
and mechanical engineering. The generalized Swift–Hohenberg equation is a fourth-order
PDE; thus, this paper uses the local discontinuous Galerkin (LDG) method for it.
Design/methodology/approach At first, the spatial direction has been discretized by the LDG
technique, as this process results in a nonlinear system of equations based on the time …
Purpose
The current paper aims to develop a reduced order discontinuous Galerkin method for solving the generalized Swift–Hohenberg equation with application in biological science and mechanical engineering. The generalized Swift–Hohenberg equation is a fourth-order PDE; thus, this paper uses the local discontinuous Galerkin (LDG) method for it.
Design/methodology/approach
At first, the spatial direction has been discretized by the LDG technique, as this process results in a nonlinear system of equations based on the time variable. Thus, to achieve more accurate outcomes, this paper uses an exponential time differencing scheme for solving the obtained system of ordinary differential equations. Finally, to decrease the used CPU time, this study combines the proper orthogonal decomposition approach with the LDG method and obtains a reduced order LDG method. The circular and rectangular computational domains have been selected to solve the generalized Swift–Hohenberg equation. Furthermore, the energy stability for the semi-discrete LDG scheme has been discussed.
Findings
The results show that the new numerical procedure has not only suitable and acceptable accuracy but also less computational cost compared to the local DG without the proper orthogonal decomposition (POD) approach.
Originality/value
The local DG technique is an efficient numerical procedure for solving models in the fluid flow. The current paper combines the POD approach and the local LDG technique to solve the generalized Swift–Hohenberg equation with application in the fluid mechanics. In the new technique, the computational cost and the used CPU time of the local DG have been reduced.
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