A plume infrared radiation uncertainty evaluation model based on non-intrusive polynomial chaos

Weibiao Du; Qinglin Niu; Xingdong Bao; Zhenhua Wang; Hongxia Mao

doi:10.1117/12.3013097

30 April 2024 A plume infrared radiation uncertainty evaluation model based on non-intrusive polynomial chaos

Weibiao Du, Qinglin Niu, Xingdong Bao, Zhenhua Wang, Hongxia Mao

Proceedings Volume 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition; 1315603 (2024) https://doi.org/10.1117/12.3013097
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

The high-temperature plume of rocket engines has become the target of detection and tracking because of its significant infrared characteristics. The engine type spectral parameters have a decisive influence on the infrared characteristics of the engine tail plume. This paper introduces polynomial chaos and non-intrusive methods to analyze the influence of the uncertainty of the engine type spectral parameters on the uncertainty of the infrared characteristics of the plume through a surrogate model . The results show that the spectral radiance value at the 2.7 μm band is larger, the uncertainty band is wider, and the uncertainty reaches about 25%; the spectral radiance value at the 4.3 μm band is smaller, the uncertainty band is also narrow, and the uncertainty is not high, which degree of certainty is about 10%. However, a peak and a wider uncertainty band appeared in the 4.50-4.75 μm band, and the uncertainty reached 30%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Weibiao Du, Qinglin Niu, Xingdong Bao, Zhenhua Wang, and Hongxia Mao "A plume infrared radiation uncertainty evaluation model based on non-intrusive polynomial chaos", Proc. SPIE 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition, 1315603 (30 April 2024); https://doi.org/10.1117/12.3013097

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KEYWORDS

Infrared radiation

Chaos

Mathematical modeling

Thermal modeling

Statistical modeling

Nozzles

Uncertainty analysis

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