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Solving parametric problems in building renovation with a spectral reduced-order method

Abstract : In this paper, the spectral method is developed as a reduced-order model for the solution of parametric problems within the building refurbishment framework. We propose to use the spectral reduced-order method to solve parametric problems in an innovative way, integrating the unknown parameter as one of the coordinates of the decomposition. The residual is minimized combining the Tau–Galerkin method with the Collocation approach. The developed method is evaluated in terms of accuracy and reduction of the computational time in three different cases. The dynamic behaviour of unidimensional moisture diffusion is investigated. The cases focus on solving parametric problems in which the solution depends on space, time, diffusivity and material thickness. Results highlight that the parametric spectral reduced-order method provides accurate solutions and can reduce 10 times the degree of freedom of the solution. It allows efficient computation of the physical phenomena with a lower error when compared to traditional approaches
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Contributeur : Rafik Belarbi Connectez-vous pour contacter le contributeur
Soumis le : lundi 7 novembre 2022 - 16:54:20
Dernière modification le : mercredi 16 novembre 2022 - 03:57:19


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Suelen Gasparin, Julien Berger, Rafik Belarbi, Denys Dutykh, Nathan Mendes. Solving parametric problems in building renovation with a spectral reduced-order method. Journal of Building Performance Simulation, In press, ⟨10.1080/19401493.2022.2126527⟩. ⟨hal-03825232⟩



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