An Efficient Inverse BEM Algorithm To Characterize Space Dependent Thermal Conductivity With An Evolutionary-genetic Approach
Price
Free (open access)
Transaction
Volume
21
Pages
10
Published
1998
Size
868 kb
Paper DOI
10.2495/BE980351
Copyright
WIT Press
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
