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Radiative Properties Estimation with the Luus-Jaakola and the Particle Collision Algorithm

D. C. Knupp1, A. J. Silva Neto2, W. F. Sacco3
Agencia Nacional de Transportes Terrestres, ANTT, Rio de Janeiro-RJ, Brazil. Graduate Student at Universidade Federal do Rio de Janeiro, UFRJ/COPPE, Rio de Janeiro-RJ, Brazil – e-mail:diego.knupp@antt.gov.br
Department of Mechanical Engineering and Energy, Instituto Politécnico, IPRJ, Universidade do Estado do Rio de Janeiro, Nova Friburgo-RJ, Brazil – e-mail: ajsneto@iprj.uerj.br
Universidade Federal do Oeste do Pará, UFOPA, Santarém-PA, Brazil – e-mail: wf-sacco@iprj.uerj.br

Computer Modeling in Engineering & Sciences 2009, 54(2), 121-146. https://doi.org/10.3970/cmes.2009.054.121

Abstract

The inverse analysis of radiative transfer in participating media has several practical applications. In most cases, the inverse problem is formulated implicitly and the solution is given by the minimization of an objective function. Gradient based methods have largely been used for that purpose, but it has been observed in recent years an increasing interest in the use of stochastic methods. In this work, it is proposed the use of the Luus-Jaakola method and the Particle Collision Algorithm. The former is a random search optimization method that has been successfully employed mainly in chemical engineering, and the latter is a novel stochastic method inspired by the physics of the interaction of nuclear particles inside nuclear reactors. The solutions obtained with these methods are analyzed and compared for different test cases.

Keywords

Radiative Transfer, Inverse Problems, Luus-Jaakola, Particle Collision Algorithm

Cite This Article

Knupp, D. C., J., A., Sacco, W. F. (2009). Radiative Properties Estimation with the Luus-Jaakola and the Particle Collision Algorithm. CMES-Computer Modeling in Engineering & Sciences, 54(2), 121–146.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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