WIT Press


An Efficient Inverse BEM Algorithm To Characterize Space Dependent Thermal Conductivity With An Evolutionary-genetic Approach

Price

Free (open access)

Paper DOI

10.2495/BE980351

Volume

21

Pages

10

Published

1998

Size

868 kb

Author(s)

Franklin Rodriguez, Eduardo Divo & Alain Kassab

Abstract

A Genetic Algorithm approach is used as an optimization tool combined with the generalized BEM formulation for heat conduction in heterogeneous media to estimate space varying thermal conductivities. A least-squares functional measuring the difference between over-imposed observed temperatures and current temperatures generated by the BEM under current thermal conductivity is minimized using a Genetic Algorithm. 1 Introduction An inverse boundary element method is proposed to characterize the spatially dependent thermal conductivity, fc, of heterogeneous materials. Heterogeneity is exhibited by many modern industrial materials. A new generalized

Keywords