张健 副研究员
教育背景
北京航空航天大学，流体机械及工程专业，工学博士（2007）
北京航空航天大学，飞行器动力工程专业，工学学士（2001）
工作履历
2020.01-至今 清华大学 航空发动机研究院，副研究员
2019.09-2019.11 瑞典梅拉达伦大学，能源系，访问学者
2010.12-2020.01 中国科学院力学研究所，非线性力学国家重点实验室，副研究员
2011.01-2012.10 美国密歇根大学，工学院，博士后
2007.07-2010.12 中国科学院力学研究所，非线性力学国家重点实验室，助理研究员
研究领域
湍流燃烧；湍流大涡模拟理论与模型；湍流混合。从第一性原理出发，揭示复杂系统（湍流、湍流混合以及化学反应湍流）中的不变性。
研究概况
从航空发动机内湍流、湍流混合以及湍流燃烧过程中提炼深层次基础科学问题，开展原创性研究。主要原创成果包括：1. 揭示了钝体燃烧器回流区内湍流非均匀混合过程的双幂律特性。这种新的幂律特性展现出超越传统平衡态统计物理的丰富性，双幂律与临界点为理解非平衡湍流中的混合动力学提供了新的视角；2. 解析推导并数值验证了湍流火焰点火过程中的温度-时间标度律，精确刻画了点火过程中的火核对流、耗散过程，为湍流火焰点火这一复杂瞬态过程建立了可预测的定量标度与理论框架；3. 将“火焰前沿点”概念引入非预混钝体火焰，通过追踪火焰前沿点的瞬态行为，从统计上揭示了剪切层Kelvin-Helmholtz不稳定性与火焰前沿点的动态关联，为理解热-流耦合复杂化学反应流动的失稳及转捩过程提供了基础的物理认识与统计分析方法。在Journal of Fluid Mechanics，AIAA Journal, Physics of Fluids, Combustion and Flame, Proceedings of the Combustion Institute，Journal of Computational Physics，Flow Turbulence and Combustion，Science China-Phys., Mech. & Astro等权威期刊上发表多篇论文；主持国家自然科学基金项目3项、某装备预研基金项目1项、国家重点实验室专项经费研究项目，中国科学院-财政部修购专项等；以课题骨干身份参加国家重点基础研究发展计划（973计划）1项；入选国家留学基金委“国际清洁能源拔尖创新人才培养项目”。
目前正在开展从第一性原理出发，揭示复杂系统（湍流、湍流混合以及化学反应湍流）中的物理不变性的基础研究。
学术成果
1. J. Zhang*, X. Liu, and Z. Ren, Power-law scaling of mixing in recirculation zones: non-reacting versus reacting flows, Journal of Fluid Mechanics, 2026, 1028:
2. L. Zhang, T. Yu, J. Zhang, H. Zhou. Numerical investigation of the effects of flame holding geometry on the flame dynamics in a hydrogen industrial burner, Applied Thermal Engineering, 2026, 289:
3. J. An, M Zhu, Z. Chen, B. Liu, J. Zhang, H. Zhou. Impact of subgrid mixing timescale modelling on LES of hydrogen-fueled supersonic combustion, International Journal of Hydrogen Energy, 2025, 194:
4. J. Jiang, X. Zhang, J. Zhang, H. Zhou, Z. Ren. Effects of hydrogen addition on flame structures in counterflow n-dodecane/air spray flames, Combustion and Flame, 2025, 279:
5. L. Zhang, H. Zhou, J. Zhang, Z. Ren. Active Control of Longitudinal Combustion Instability in Bluff-Body Stabilized Premixed Flames with Multiple Neural Network Controller. Combustion Science and Technology, 2024, 197: 3983-4010
6. J. Wei, J. An, N. Wang, J. Zhang, Z. Ren. Velocity nonuniformity and wall heat loss coupling effect on supersonic mixing layer flames. Aerospace Science and Techonology, 2023, 141:
7. C. Zhang, L. Wang, J. Zhang, Q. Hu. Implementation of the Filtered Turbulent Flame Model in Non-premixed Combustion Simulation. Flow Turbulence and Combustion, 2023
8. J. Wei, M. Yao, J. Zhang*, Z. Ren, Statistics and Dynamics of Instantaneous Leading Point in Non-premixed Bluff-body Flames. AIAA Journal，2022，60：3324-3336
9. J. An, F. Qin, J. Zhang, Z. Ren*, Explore artificial neural networks for solving complex hydrocarbon chemistry in turbulent reactive flows. Fundamental Research, 2022
10. J. Wei, Q. Xie, J. Zhang*, Z. Ren, Flow, mixing, and flame stabilization in bluff-body burner with decreased central jet velocity. Physics of Fluids, 2021, 33, 067122
11. Q. Lan, J. Zhang*, Y. Liu, Forced ignition of bluff-body flame in nitrogen diluting coflow. 25th International Congress of Theoretical and Applied Mechanics (25th ICTAM), Milano, Italy, 2021
12. J. Zhang, L. Wang*，Y. Guo, Filtered turbulent flamelet model in large eddy simulation of the Sydney non-premixed bluff-body flame. Sci. Chi.-Phys., Mech. & Astro, 2020
13. J. Ju, Z. Jin*, H. Zhang, Z. Yang, J. Zhang. The impact and freezing processes of a water droplet on different cold spherical surfaces. Experimental Thermal and Fluid Science, 2018, 96：430-440.
14. T. Yang, J. Zhang*, Effects of the air-fuel velocity ratio for non-premixed bluff-body flames, Proceedings of the ASME 2017 Power and Energy Conference, Power Energy 2017, June 25-30, 2017, Charlotte, North Carolina, USA.
15. 张健*, 刘柽钰，杨涛，基于过程变量-火焰面模型的湍流燃烧大涡模拟， 中国科学: 物理学 力学 天文学， 2017，47：07007
16. 杨涛，张健*，吕金明，晋国栋，钝体射流火焰及其点火过程的大涡模拟，力学学报，2016， 48:1290-1300.
17. J. Chen, G. Jin*, J. Zhang, Large eddy simulation of orientation and rotation of ellipsoidal particles in isotropic turbulent flow, Journal of Turbulence, 17:308-326, 2016
18. J. Chen, G. Jin*, J. Zhang, Lagrangian statistics in isotropic turbulent flows with deterministic and stochastic forcing schemes, Acta Mechanica Sinica, 31: 25-31, 2015
19. J. Zhang*, F. Gao, G. Jin and G. He, Conditionally statistical description of turbulent scalar mixing at subgrid-scale, Flow Turbulence and Combustion, 93: 125-140, 2014
20. L. Wang*, N. Chakraborty, J. Zhang, Streamline segment analysis of turbulent premixed flames, Proceedings of the Combustion Institute, 34: 1401-1409, 2013
21. G. Jin, Y. Wang, J. Zhang and G. He*, Turbulent clustering of point particles and finite-size particle in isotropic turbulent flows, Industrial & Engineering Chemistry Research, 52: 11294-11301, 2013
22. M. Ihme*, J. Zhang, G. He and B. B. Dally, Large-eddy simulation of a jet-in-hot-coflow burner operating in the oxygen-diluted combustion regime, Flow Turbulence and Combustion, 89: 449-464, 2012
23. M. Ihme*, L. Shunn, J. Zhang, Regularization of reaction progress variable for application to flamelet- based combustion models, Journal of Computational Physics, 231: 7715-7721, 2012
24. 张健*， 张星，姚华栋， 条件滤波大涡模拟方程封闭模型检验， 工程热物理学报，32: 357-359, 2011
25. J. Zhang, G. He*, G. Jin, An implicit relation between temperature and reaction rate in the SLFM, Theoretical and Applied Mechanics Letters, 1: 012003, 2011
26. J. Zhang, G. Jin, G. He*, Effects of the scalar dissipation rate on the steady laminar flamelet model, Physica Scripta, 142: 014048, 2010
27. G. Jin, J. Zhang, G. He* and L. Wang, Assessment of large-eddy simulation in capturing preferential concentration of heavy particles in isotropic turbulent flows, Physica Scripta, 142: 014061, 2010
28. G. Jin, G. He*, L. Wang, and J. Zhang, Subgrid scale fluid velocity time scales seen by inertial particles in large-eddy simulation of particle-laden turbulence, International Journal of Multiphase Flow, 36: 432-437, 2010
29. J. Zhang, G. He, L. Lu, Subgrid-scale contributions to Lagrangian time correlations in isotropic turbulence, Acta Mechanica Sinica, 25: 45-49, 2009
30. 张健，何国威*，陆利蓬，王银春，大涡模拟中的条件滤波耗散和扩散的统计特性，力学学报， 38: 433-437, 2006
31. 张健*，陆利蓬，刘恩洲，SPH方法在溃坝流动模拟中的应用， 自然科学进展，16: 1326-1330, 2006
