Inverse radiation analysis of a one-dimensional participating slab by stochastic particle swarm optimizer algorithm

被引：123

作者：

Qi, H. ^{[1
]}

Ruan, L. M. ^{[1
]}

Zhang, H. C. ^{[1
]}

Wang, Y. M. ^{[1
]}

Tan, H. P. ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Energy Sci & Engn, Harbin 150001, Peoples R China

来源：

INTERNATIONAL JOURNAL OF THERMAL SCIENCES | 2007年 / 46卷 / 07期

基金：

中国国家自然科学基金;

关键词：

inverse radiation analysis; stochastic particle swarm optimizer algorithm; discrete ordinate method;

D O I：

10.1016/j.ijthermalsci.2006.10.002

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

A stochastic particle swarm optimizer (SPSO) algorithm, which can guarantee the convergence of the global optimization solution with probability one, is adopted to estimate the parameters of radiation system. To illustrate the performance of this algorithm, three cases are investigated, in which the source term, the extinction coefficient, the scattering coefficient, and the non-uniform absorption coefficients in a one-dimensional slab are retrieved. The directional radiative intensity, reflectance and transmittance, radiative flux simulated by discrete ordinate method (DOM) are served as input for the inverse analysis, respectively. By SPSO algorithm presented, all these radiative parameters could be estimated accurately, even with noisy data. In conclusion, the SPSO algorithm is proved to be fast and robust, which has the potential to be implemented in various fields of inverse radiation problem. (C) 2006 Elsevier Masson SAS. All rights reserved.

引用

页码：649 / 661

页数：13

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