2018
DOI: 10.1080/19401493.2018.1458905
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Solving nonlinear diffusive problems in buildings by means of a Spectral reduced-order model

Abstract: This paper proposes the use of a Spectral method to simulate diffusive moisture transfer through porous materials as a Reduced-Order Model (ROM). The Spectral approach is an a priori method assuming a separated representation of the solution. The method is compared with both classical Euler implicit and Crank-Nicolson schemes, considered as large original models. Their performance -in terms of accuracy, complexity reduction and CPU time reduction -are discussed for linear and nonlinear cases of moisture diffus… Show more

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Cited by 12 publications
(20 citation statements)
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“…We investigate here the use of a polynomial basis like Chebyshev or Legendre. Out of the approximation theory [5], those basis have proven to be very efficient at solving partial differential equations using spectral methods [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…We investigate here the use of a polynomial basis like Chebyshev or Legendre. Out of the approximation theory [5], those basis have proven to be very efficient at solving partial differential equations using spectral methods [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…Moisture-based problems have been one of the critical issues as long-term effects on walls in terms of energy efficiency, indoor environmental quality, and durability. Hygrothermal performance has had direct impacts on the users, material durability, and energy efficiency of a building [1]. A well-performing building façade is based on two critical issues: thermal resistance and vapor permeability [2].…”
Section: Introductionmentioning
confidence: 99%
“…Numerous studies concentrated on evolution, moderation, and replacement of classical numerical approaches. 1,2 The fidelity and the efficiency of a numerical method are crucial for long-term modeling. 3,4 In the recent review of the state-of-the-art, [5][6][7] it was indicated that despite a wide range of programs, there are still some drawbacks in terms of accuracy, ease-of-use, and the high computational cost.…”
Section: Introductionmentioning
confidence: 99%