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

doi:10.1088/1674-1056/24/11/114401

中国物理B ›› 2015, Vol. 24 ›› Issue (11): 114401-114401.doi: 10.1088/1674-1056/24/11/114401

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇下一篇

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

牛春洋^a, 齐宏^a, 黄兴^a, 阮立明^a, 王伟^b, 谈和平^a

a School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China;
b Civil Aviation University of China, Tianjin 300300, China

收稿日期:2015-04-28 修回日期:2015-05-21 出版日期:2015-11-05 发布日期:2015-11-05
通讯作者: Qi Hong E-mail:qihong@hit.edu.cn
基金资助:
Project supported by the Major National Scientific Instruments and Equipment Development Special Foundation of China (Grant No. 51327803), the National Natural Science Foundation of China (Grant No. 51476043), and the Fund of Tianjin Key Laboratory of Civil Aircraft Airworthiness and Maintenance in Civil Aviation University of China.

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

Niu Chun-Yang (牛春洋)^a, Qi Hong (齐宏)^a, Huang Xing (黄兴)^a, Ruan Li-Ming (阮立明)^a, Wang Wei (王伟)^b, Tan He-Ping (谈和平)^a

a School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China;
b Civil Aviation University of China, Tianjin 300300, China

Received:2015-04-28 Revised:2015-05-21 Online:2015-11-05 Published:2015-11-05
Contact: Qi Hong E-mail:qihong@hit.edu.cn
Supported by:
Project supported by the Major National Scientific Instruments and Equipment Development Special Foundation of China (Grant No. 51327803), the National Natural Science Foundation of China (Grant No. 51476043), and the Fund of Tianjin Key Laboratory of Civil Aircraft Airworthiness and Maintenance in Civil Aviation University of China.

摘要/Abstract

摘要： A hybrid least-square QR decomposition (LSQR)-particle swarm optimization (LSQR-PSO) algorithm was developed 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 distributions 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.

关键词: LSQR-PSO, inverse problem, retrieval temperature field, line-of-sight method

Abstract: A hybrid least-square QR decomposition (LSQR)-particle swarm optimization (LSQR-PSO) algorithm was developed 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 distributions 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.

Key words: LSQR-PSO, inverse problem, retrieval temperature field, line-of-sight method

中图分类号: (Thermal radiation)

44.40.+a

44.05.+e (Analytical and numerical techniques) 45.10.Db (Variational and optimization methods)

牛春洋, 齐宏, 黄兴, 阮立明, 王伟, 谈和平. Simultaneous reconstruction of temperature distribution and radiative properties in participating media using a hybrid LSQR–PSO algorithm[J]. 中国物理B, 2015, 24(11): 114401-114401.

Niu Chun-Yang (牛春洋), Qi Hong (齐宏), Huang Xing (黄兴), Ruan Li-Ming (阮立明), Wang Wei (王伟), Tan He-Ping (谈和平). Simultaneous reconstruction of temperature distribution and radiative properties in participating media using a hybrid LSQR–PSO algorithm[J]. Chin. Phys. B, 2015, 24(11): 114401-114401.

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

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

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