Title

Characterization Of Space Dependent Thermal Conductivity With A Bem-Based Genetic Algorithm

Abstract

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.

Publication Date

7-1-2000

Publication Title

Numerical Heat Transfer; Part A: Applications

Volume

37

Issue

8

Number of Pages

845-875

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/10407780050045865

Socpus ID

0000890244 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0000890244

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