Abstract

In this paper, we propose a certified reduced basis (RB) method for quasilinear parabolic problems with strongly monotone spatial differential operator. We provide a residual-based a posteriori error estimate for a space-time formulation and the corresponding efficiently computable bound for the certification of the method. We introduce a Petrov-Galerkin finite element discretization of the continuous space-time problem and use it as our reference in a posteriori error control. The Petrov-Galerkin discretization is further approximated by the Crank-Nicolson time-marching problem. It allows to use a POD-Greedy approach to construct the reduced-basis spaces of small dimensions and to apply the Empirical Interpolation Method (EIM) to guarantee the efficient offline-online computational procedure. In our approach, we compute the reduced basis solution in a time-marching framework while the RB approximation error in a space-time norm is controlled by our computable bound. Therefore, we combine a POD-Greedy approximation with a space-time Galerkin method.

Highlights

  • The certified reduced basis method is known as an efficient method for model order reduction of parametrized partial differential equations

  • We propose an L2(0, T ; V ) a posteriori error estimate, based on the spacetime variational formulation of quasilinear parabolic PDEs with strongly monotone differential operators

  • We consider a space-time variational formulation of quasilinear parabolic partial differential equations, which we denote as the exact problem

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Summary

Introduction

The certified reduced basis method is known as an efficient method for model order reduction of parametrized partial differential equations

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Space-time truth solution
Space-time formulation
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Petrov-Galerkin truth approximation
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Empirical interpolation of the non-linearity
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Reduced basis approximation with the POD-Greedy method
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Reduced basis certification
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Examples and numerical results
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Conclusion
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Full Text
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