热力发电

双重正则化约束下主被动结合方法重建火焰物理场

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朱宁静 ¹,² , 王哲 ¹,² , 杜雷恒 ¹,² , 余亮英 ¹,² , 黄志锋 ¹,²

热力发电 | 2026,55(1): 134-141

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热力发电 | 2026, 55(1): 134-141

双重正则化约束下主被动结合方法重建火焰物理场

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朱宁静¹,², 王哲¹,², 杜雷恒¹,², 余亮英¹,², 黄志锋¹,²

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^1.武汉大学动力与机械学院

^2.湖北武汉 430072

Reconstruction of flame physical fields via active and passive combined method under double regularization constraints

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出版时间: 2026-01-25 doi: 10.19666/j.rlfd.202504065

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利用火焰自发辐射（被动法）与吸收光谱（主动法）信号重建燃烧物理场是常用的2种光学测量方法，结合2种方法各自优势发展主被动结合方法将为燃烧检测提供新手段。通过在被动法测量系统中引入1条激光吸收光路同时获得火焰自发辐射和吸收光谱信号，将被动法重建的燃烧温度场和组分初始浓度场引入主动法重建中，结合平滑性与先验浓度物理场双重正则化约束发展主被动结合方法。针对典型单峰与双峰轴对称火焰截面开展模拟重建，当测量误差为1.00%时，单峰与双峰火焰燃烧温度场重建平均误差分别为0.92%和1.32%，水蒸气体积分数平均误差分别3.05%和3.31%。结果表明，双重正则化约束下主被动结合方法水蒸气体积分数重建精度相较于被动法明显提升，相比于主动法所需布置激光光路数大幅减少，实现了利用简单测量系统的燃烧温度场和组分浓度场准确测量。

关键词

燃烧检测 / 主被动结合方法 / 火焰物理场重建 / 双重正则化约束

Abstract

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The signals of flame spontaneous emission (passive method) and absorption spectrum (active method) are two commonly used optical measurement methods for reconstructing the combustion physical field. Developing an active and passive combined method by combining the respective advantages of the two methods will provide a new means for combustion detection. By introducing a laser absorption optical path into the passive measurement system to simultaneously obtain the spontaneous emission and absorption spectral signals of the flame, the combustion temperature field and the initial component concentration field reconstructed by the passive method are introduced into the active method reconstruction. The active and passive combined method is developed by combining the double regularization constraints of smoothness and the prior concentration physical field. Simulation reconstructions are carried out for typical single-peak and double-peak axisymmetric flame sections. When the measurement error is 1.00%, the average errors of the single-peak and double-peak flame combustion temperature field reconstructions are 0.92% and 1.32% respectively, and the average errors of water vapor volume fraction are 3.05% and 3.31% respectively. The results show that under the double regularization constraints, the reconstruction accuracy of water vapor concentration by the active and passive combined method is significantly improved compared with the passive method, and the number of required laser optical paths is greatly reduced compared with that of the active method, achieving accurate measurement of the combustion temperature field and component concentration field using a simple measurement system.

Key words

combustion detection / active and passive combined method / reconstruction of flame physical field / double regularization constraints

引用本文

朱宁静, 王哲, 杜雷恒, 余亮英, 黄志锋. 双重正则化约束下主被动结合方法重建火焰物理场. 热力发电, 2026 , 55 (1) : 134 -141 . DOI: 10.19666/j.rlfd.202504065

. Reconstruction of flame physical fields via active and passive combined method under double regularization constraints[J]. Thermal Power Generation, 2026 , 55 (1) : 134 -141 . DOI: 10.19666/j.rlfd.202504065

基金

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国家自然科学基金项目

参考文献

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2026年第55卷第1期

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文章信息

doi: 10.19666/j.rlfd.202504065

接收时间：2025-04-19
首发时间：2026-06-10
出版时间：2026-01-25

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收稿日期：2025-04-19
修回日期：2025-05-20
录用日期：2025-05-26

基金

国家自然科学基金项目

作者信息

^1.武汉大学动力与机械学院

^2.湖北武汉 430072

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https://castjournals.cast.org.cn/joweb/rlfd/CN/10.19666/j.rlfd.202504065

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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