Characterization Of Space Dependent Thermal Conductivity With A Bem-Based Genetic Algorithm
An inverse boundary element method is developed to characterize the spatially dependent conductivity k(x) of heterogeneous materials. Surface measurements at exposed boundaries serve as additional input to a genetic algorithm (GA) minimizing a regularized functional measuring the difference between observed and boundary element method (BEM)-predicted surface temperatures under current conductivity estimates. Analytical integration for a given estimate of k(x) provides explicit evaluation of influence coefficients, and series expansions are used to approximate integrands in expressions for these coefficients. Numerical integration is performed just once, a significant speedup in updates of the functional in evolution of the GA. © 2000, Taylor & Francis Group, LLC. All rights reserved.
Numerical Heat Transfer; Part A: Applications
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Divo, Eduardo; Kassab, Alain; and Rodriguez, Franklin, "Characterization Of Space Dependent Thermal Conductivity With A Bem-Based Genetic Algorithm" (2000). Scopus Export 2000s. 831.