Research on Reconstruction of Two-dimensional Temperature Field and H<sub>2</sub>O Concentration Field Based on TDLAS

HOU Yijie; ZHANG Lifang; ZHAO Guanjia

doi:10.19805/j.cnki.jcspe.2026.250436

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Research on Reconstruction of Two-dimensional Temperature Field and H₂O Concentration Field Based on TDLAS

更新时间：2026-09-15

- Research on Reconstruction of Two-dimensional Temperature Field and H₂O Concentration Field Based on TDLAS
- Chinese Journal of Power Engineering Vol. 46, Issue 9, Pages: 77-89(2026)
- 作者机构：
- 作者简介：
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- DOI：10.19805/j.cnki.jcspe.2026.250436
  CLC： TM621;O433.1
- Published：2026
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侯艺杰, 张立芳, 赵贯甲. 基于TDLAS的二维温度场与H2O浓度场重建研究[J]. 动力工程学报, 2026, 46(9): 77-89.
侯艺杰, 张立芳, 赵贯甲. 基于TDLAS的二维温度场与H2O浓度场重建研究[J]. 动力工程学报, 2026, 46(9): 77-89. DOI： 10.19805/j.cnki.jcspe.2026.250436.

DOI： 10.19805/j.cnki.jcspe.2026.250436

摘要

为了满足高温火焰场中的温度与H2O浓度分布的重建需求，以水蒸气作为目标测量气体，对燃烧火焰中的温度和H2O浓度进行重建，选取了7 153.748和7 154.354 cm-1 2条H2O的吸收谱线，结合代数重建（ART）算法、自适应代数重建（AART）算法，对假定的多峰火焰开展模拟重建研究。结果表明：2种算法在松弛因子为0.5时达到最优平衡，但2种算法的抗噪性均较差。为了提高算法的抗噪性，引入邻域均值平滑法、高斯平滑法来优化AART算法。重建结果表明：AART算法抗噪性能得到了显著提升，优化后的算法在添加0%~7%随机误差范围内仍能实现有效重建，其中高斯平滑法优化效果更优，为复杂燃烧场的高精度二维重建提供了可靠的理论基础。

Abstract

To meet the reconstruction requirements of temperature and H2O concentration distribution in high-temperature flame fields

water vapor was selected as the target measurement gas to reconstruct the temperature and H2O concentration in combustion flames. Two H2O absorption lines with wave numbers of 7 153.748 and 7 154.354 cm-1 were selected. Combined with algebraic reconstruction technique (ART) and adaptive algebraic reconstruction technique (AART) algorithms

simulation reconstruction studies were carried out on the preset multi-peak flame. Results show that the optimal balance state can be achieved when the relaxation factor is set to 0.5 for both algorithms

but the noise resistance performance of the two algorithms is relatively poor. To improve the noise resistance of the algorithms

neighborhood mean smoothing method and Gaussian smoothing method were introduced to optimize AART algorithm. Reconstruction results show that the noise resistance performance of AART algorithm is significantly enhanced. The optimized algorithm can still realize effective reconstruction within the added random error range of 0% to 7%

among which the Gaussian smoothing method presents a better optimization effect

and a reliable theoretical basis is provided for the high-precision two-dimensional reconstruction of complex combustion fields.

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references

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Research on Reconstruction of Two-dimensional Temperature Field and H2O Concentration Field Based on TDLAS

DOI：10.19805/j.cnki.jcspe.2026.250436

摘要

Abstract

关键词

Keywords

references

Research on Reconstruction of Two-dimensional Temperature Field and H₂O Concentration Field Based on TDLAS