Fast Multipole BEM and Genetic Algorithms for the Design of Foams with Functional-Graded Thermal Conductivity

作者: Marco Dondero , Adrián P. Cisilino , Alexis Rodriguez Carranza , Georgios Stavroulakis

DOI: 10.1007/978-1-4020-9710-2_5

关键词:

摘要: A numerical tool for the design of foam-like microstructures with customized heat conduction properties is presented in this paper. The spatial variation local material achieved via optimization distribution gas cells. Genetic Algorithm (GA) used purpose. Although very effective and versatile GAs are computationally expensive. This problem tackled two ways: a Fast Multipole Boundary Element Method algorithm thermal analysis microstructures, GA implemented parallel using cluster PCs. Two examples illustrate performance developed implementation.

参考文章(9)
M. H. Aliabadi, L. C. Wrobel, The Boundary Element Method ,(2002)
Peter Wriggers, Tarek I. Zohdi, An Introduction to Computational Micromechanics ,(2005)
Oliver S. Fleming, Sergei G. Kazarian, Polymer Processing with Supercritical Fluids John Wiley & Sons, Ltd. pp. 205- 238 ,(2006) , 10.1002/3527606726.CH10
Barry Knapp, Paul Charbonneau, A User's Guide to PIKAIA 1.0 ,(1995) , 10.5065/D69P2ZKK
A.J Ruys, E.B Popov, D Sun, J.J Russell, C.C.J Murray, Functionally graded electrical/thermal ceramic systems Journal of The European Ceramic Society. ,vol. 21, pp. 2025- 2029 ,(2001) , 10.1016/S0955-2219(01)00165-0
Saul A. Teukolsky, Brian P. Flannery, William T. Vetterling, William H. Press, Numerical Recipes in FORTRAN ,(1988)
Y.J. Liu, N. Nishimura, The fast multipole boundary element method for potential problems: A tutorial Engineering Analysis With Boundary Elements. ,vol. 30, pp. 371- 381 ,(2006) , 10.1016/J.ENGANABOUND.2005.11.006
D. E. Goldberg, Genetic Algorithms in Search, Optimization & Machine Learning Addison-Wesley Publishing. ,(1989)
David E. Goldberg, Genetic algorithms in search, optimization and machine learning Reading: Addison-Wesley. ,(1989)