2017
DOI: 10.1051/m2an/2016054
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A generalized finite element method for linear thermoelasticity

Abstract: Abstract. We propose and analyze a generalized finite element method designed for linear quasistatic thermoelastic systems with spatial multiscale coefficients. The method is based on the local orthogonal decomposition technique introduced by Målqvist and Peterseim (Math. Comp., 83(290): 2583Comp., 83(290): -2603Comp., 83(290): , 2014. We prove convergence of optimal order, independent of the derivatives of the coefficients, in the spatial H 1 -norm. The theoretical results are confirmed by numerical exampl… Show more

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Cited by 30 publications
(33 citation statements)
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References 24 publications
(53 reference statements)
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“…The goal is to construct a new function space with the same dimension as V H × Q H but with better approximation properties. For this, we follow the methodology of LOD [21,23] and, in particular, translate the results from thermoelasticity presented in [19] to the present setting.…”
Section: A Multiscale Methods For Poroelasticitymentioning
confidence: 99%
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“…The goal is to construct a new function space with the same dimension as V H × Q H but with better approximation properties. For this, we follow the methodology of LOD [21,23] and, in particular, translate the results from thermoelasticity presented in [19] to the present setting.…”
Section: A Multiscale Methods For Poroelasticitymentioning
confidence: 99%
“…With all tools in hand, we are now able to present the method proposed in [19] for thermoelasticity. Since the considered system involves time derivatives, the corrector problem needs to be solved in each time step.…”
Section: Multiscale Methods and Convergencementioning
confidence: 99%
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“…[13,16,17,23,25]. This method was applied in [22] to linear heterogeneous thermoelasticity and optimal first-order convergence of the fully discretized system based on LOD and an implicit Euler discretization in time was proven. This approach was transferred to the present poroelastic setting in [1].…”
Section: Introductionmentioning
confidence: 99%