2001
DOI: 10.1080/10407780152032866
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Inverse Forced Convection Problem of Simultaneous Estimation of Two Boundary Heat Fluxes in Irregularly Shaped Channels

Abstract: This article deals with the use of the conjugate gradient method of function estimation for the simultaneous identi cation of two unknown boundary heat uxes in channels with laminar ows. The irregularly shaped channel in the phy sical domain is transformed into a parallel plate channel in the computational domain by using an elliptic scheme of numerical grid generation. The direct problem, as well as the auxiliary problems and the gradient equations, required for the solution of the inverse problem with the co… Show more

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Cited by 26 publications
(10 citation statements)
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“…In general, inverse operation method is usually applied when analyzing simple shape (see [2][3][4][8][9][10]13]). This paper is theoretically based on linear least-squares error method [14], but changes with the finite element method in spatial discretion to solve spatial stiffness matrix of irregular shape, and adds sequential algorithm concept to build a universal solving process.…”
Section: Problem Statement and Mathematical Derivationmentioning
confidence: 99%
“…In general, inverse operation method is usually applied when analyzing simple shape (see [2][3][4][8][9][10]13]). This paper is theoretically based on linear least-squares error method [14], but changes with the finite element method in spatial discretion to solve spatial stiffness matrix of irregular shape, and adds sequential algorithm concept to build a universal solving process.…”
Section: Problem Statement and Mathematical Derivationmentioning
confidence: 99%
“…As equações desenvolvidas acima podem ser arranjadas em um conveniente algoritmo computacional descrito nas referências [6,7,[16][17][18][19][20][21][22][23][24][25][26].…”
Section: Técnica Iii: Método Do Gradiente Conjugado Para Estimativa Dunclassified
“…. However, with few exceptions [26][27][28]30], the above papers have addressed the estimation of one single unknown quantity.…”
Section: Introductionmentioning
confidence: 99%