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多尺度多线组宽带 k 分布模型参数优化方法

Translated title of the contribution: Parameter optimization of multi-scale multi-group wide-band k-distribution models
  • Yue Wu
  • , Haiyang Hu*
  • , Qiang Wang
  • , Ran Duan
  • , Yeping Xie
  • , Hongwei Deng
  • *Corresponding author for this work
  • Beihang University
  • Beijing Institute of Environmental Features
  • Aero Engine Corporation of China

Research output: Contribution to journalArticlepeer-review

Abstract

Considering the numerical calculation of remote infrared signal emitted by solid wall and hot combustion gas of jet aircraft’s transonic exhaust system, the existing multi-scale multi-group wide-band k-distribution model (MSMGWB) was expanded from 3− 5 µm wave band to 2− 2.5, 3.7− 4.8,7.7− 9.7 µm and 8− 14 µm wave bands. Moreover, the method of finding best combination of wavenumber subinterval grouping results and Gauss integral schemes was improved. The calculation results of 56 1D cases and a 3D real-structure transonic exhaust system remote infrared imaging case indicated that the optimized MSMGWB model significantly improved computation accuracy and efficiency compared with fictitious gas-based statistical narrow-band model,especially under 3− 5 µm and 3.7− 4.8 µm wave bands,the comprehensive calculation accuracy was nearly doubled,and the calculation efficiency was increased by 4 times and 1.5 times, respectively. At the same time, the optimized MSMGWB model’s comprehensive calculation accuracy was improved more significantly,and calculation efficiency was improved by about an order of magnitude compared with the domestic mainstream calculation method of target remote infrared signals.

Translated title of the contributionParameter optimization of multi-scale multi-group wide-band k-distribution models
Original languageChinese (Traditional)
Article number20220144
JournalHangkong Dongli Xuebao/Journal of Aerospace Power
Volume39
Issue number2
DOIs
StatePublished - 2024

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