Reconstructing shock front of unstable detonations based on multi-layer perceptron

被引:3
作者
Zhou, Lin [1 ,2 ]
Teng, Honghui [1 ]
Ng, Hoi Dick [3 ]
Yang, Pengfei [4 ,5 ]
Jiang, Zonglin [4 ,5 ]
机构
[1] Beijing Inst Technol, Sch Aerosp Engn, Beijing 100081, Peoples R China
[2] Beijing Power Machinery Inst, State Key Lab Laser Prop & Applicat, Beijing 100074, Peoples R China
[3] Concordia Univ, Dept Mech Ind & Aerosp Engn, Montreal, PQ H3G 1M8, Canada
[4] Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China
[5] Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Cellular detonation; Lead shock evolution; Multi-layer perceptron; Numerical simulations; NUMERICAL SIMULATIONS; COMPUTED-TOMOGRAPHY; NEURAL-NETWORK; DYNAMICS; FLAME; MODEL; HYDROGEN; WAVE;
D O I
10.1007/s10409-021-01130-x
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The dynamics of frontal and transverse shocks in gaseous detonation waves is a complex phenomenon bringing many difficulties to both numerical and experimental research. Advanced laser-optical visualization of detonation structure may provide certain information of its reactive front, but the corresponding lead shock needs to be reconstructed building the complete flow field. Using the multi-layer perceptron (MLP) approach, we propose a shock front reconstruction method which can predict evolution of the lead shock wavefront from the state of the reactive front. The method is verified through the numerical results of one- and two-dimensional unstable detonations based on the reactive Euler equations with a one-step irreversible chemical reaction model. Results show that the accuracy of the proposed method depends on the activation energy of the reactive mixture, which influences prominently the cellular detonation instability and hence, the distortion of the lead shock surface. To select the input variables for training and evaluate their influence on the effectiveness of the proposed method, five groups, one with six variables, and the other with four variables, are tested and analyzed in the MLP model. The trained MLP is tested in the cases with different activation energies, demonstrates the inspiring generalization capability. This paper offers a universal framework for predicting detonation frontal evolution and provides a novel way to interpret numerical and experimental results of detonation waves.
引用
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页码:1610 / 1623
页数:14
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