Simultaneous reconstruction of temperature distribution and radiative properties in participating media using a hybrid LSQR-PSO algorithm

• Published in: Chinese physics B Vol. 24; no. 11; pp. 285 - 295
• Main Author: 牛春洋 齐宏 黄兴 阮立明 王伟 谈和平
• Format: Journal Article
• Language: English
• Published: 01.11.2015
• Subjects: Absorption; Absorption coefficient; Algorithms; Line of sight; Media; pso算法; Reconstruction; Temperature distribution; Three dimensional; 参与性介质; 同时重建; 吸收系数; 混合; 温度分布; 粒子群优化算法; 辐射特性
• ISSN: 1674-1056; 2058-3834; 1741-4199
• DOI: 10.1088/1674-1056/24/11/114401

A hybrid least-square QR decomposition （LSQR）-particle swarm optimization （LSQR-PSO） algorithm was devel- oped to estimate the three-dimensional （3D） temperature distributions and absorption coefficients simultaneously. The outgoing radiative intensities at the boundary surface of the absorbing media were simulated by the line-of-sight （LOS） method, which served as the input for the inverse analysis. The retrieval results showed that the 3D temperature distribu- tions of the participating media with known radiative properties could be retrieved accurately using the LSQR algorithm, even with noisy data. For the participating media with unknown radiative properties, the 3D temperature distributions and absorption coefficients could be retrieved accurately using the LSQR-PSO algorithm even with measurement errors. It was also found that the temperature field could be estimated more accurately than the absorption coefficients. In order to gain insight into the effects on the accuracy of temperature distribution reconstruction, the selection of the detection direction and the angle between two detection directions was also analyzed.