Qinmin Zheng
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郑钦敏Qinmin Zheng

副教授,博士生导师Associate Professor, Ph.D. Supervisor 北京航空航天大学国际创新学院(杭州校区)International Innovation College, Beihang University (Hangzhou)

我的研究聚焦复杂流动中的物理机理与数据驱动建模,尝试把高保真数值模拟、稀疏观测和机器学习统一到可信的计算框架中。

My research focuses on physical mechanisms and data-driven modelling of complex flows, bringing high-fidelity simulations, sparse observations and machine learning into trustworthy computational frameworks.

当前工作涵盖智能流体力学、可压缩与高超声速湍流、高温热化学非平衡气体动力学、流场反演以及漩涡主控流动。研究强调物理解释、数值可靠性和工程可用性之间的联系。

Current work spans intelligent fluid mechanics, compressible and hypersonic turbulence, high-temperature thermochemical nonequilibrium gas dynamics, flow-field reconstruction and vortex-dominated flows, with an emphasis on physical interpretation, numerical reliability and engineering utility.

01计算流体力学Computational fluid dynamicsDNS · LES · HPC
02湍流机理Turbulence physicsCompressible · Hypersonic
03科学机器学习Scientific machine learningDeep learning · Generative AI
04数据同化Data assimilationReconstruction · UQ
Now recruiting Postdoctoral positionsDeep learning, data assimilation and turbulence · 2 openings View position
01

研究方向Research

从控制方程、数值计算到观测数据与智能模型。From governing equations and numerical simulation to observations and intelligent models.

智能流体力学Intelligent fluid mechanics

研究深度学习、大模型、模态降阶和数据同化等数据驱动方法在流体力学中的应用。重点关注物理约束生成模型、湍流场高保真重建、稀疏观测下的流场反演,以及可解释、可泛化的科学机器学习方法。

We study data-driven methods—including deep learning, foundation models, modal reduction and data assimilation—for fluid mechanics. Current topics include physics-constrained generative models, high-fidelity turbulence reconstruction, flow inference from sparse observations, and interpretable, generalisable scientific machine learning.

Deep learning · Foundation models · Reduced-order modelling · Data assimilation

计算物理与湍流Computational physics and turbulence

通过直接数值模拟、大涡模拟和多尺度分析研究可压缩湍流、高超声速边界层、激波/湍流边界层相互作用,以及极端摩阻和热流事件的动力学机制与可预测性。

Direct numerical simulation, large-eddy simulation and multiscale analysis are used to study compressible turbulence, hypersonic boundary layers, shock/turbulent-boundary-layer interactions, and the dynamics and predictability of extreme wall-friction and heat-flux events.

DNS · LES · Compressible turbulence · Extreme events

高温热化学非平衡气体动力学High-temperature thermochemical nonequilibrium gas dynamics

关注高温可压缩流动中的振动松弛、内能涨落传递和涡量生成,揭示热非平衡效应与湍流小尺度结构之间的耦合关系。

We investigate vibrational relaxation, internal-energy fluctuation transfer and enstrophy production in high-temperature compressible flows, revealing how thermal nonequilibrium couples with the small-scale structure of turbulence.

Thermal nonequilibrium · Vibrational relaxation · Flow topology

漩涡主控流动与气动热Vortex-dominated flows and aerothermodynamics

面向飞行器流场与气动力/热分析,研究流动分离与转捩、钝体尾迹、流固耦合和复杂外形优化等问题。

For aircraft flow-field and aero-thermal analysis, we study flow separation and transition, bluff-body wakes, fluid–structure interaction and aerodynamic optimisation of complex configurations.

Aerodynamics · Flow separation · FSI · Shape optimisation

02

论文Publications

第一作者及通讯作者论文。First-author and corresponding-author publications.

  1. 2026

    Liu Q., Liang B., Liu L., Zeng J., Zheng Q.*, Tian B.* “An adaptive direct-forcing immersed boundary method with subcycled time advancement for compressible flows over irregular solid boundaries.” Physics of Fluids, 38, 096125.

  2. 2026

    Mehedi H., Zhao C., Zheng Q.*, Fan D., He X., Pan C. “A multi-scale reduced-order framework for robust aerodynamic shape optimisation of transonic wings.” Aerospace Science and Technology, 178, 113040.

  3. 2026

    Liu Q., Liang B., Liu L., Zeng J., Zheng Q.*, Tian B.* “Large eddy simulation of microburst wind fields over flat and cuboid obstacle terrains.” Physics of Fluids, 38, 016610.

  4. 2024

    Zheng Q., Li T., Ma B., Fu L.*, Li X.* “High-fidelity reconstruction of large-area damaged turbulent fields with a physically constrained generative adversarial network.” Physical Review Fluids, 9, 024608.

  5. 2022

    Zheng Q., Yang Y., Wang J.*, Chen S. “Enstrophy production and flow topology in compressible isotropic turbulence with vibrational non-equilibrium.” Journal of Fluid Mechanics, 950, A21.

  6. 2021

    Zheng Q., Wang J.*, Alam M. M., Noack B. R., Li H., Chen S. “Transfer of internal energy fluctuation in compressible isotropic turbulence with vibrational non-equilibrium.” Journal of Fluid Mechanics, 919, A26.

  7. 2020

    Zheng Q., Wang J.*, Noack B. R., Li H., Wan M., Chen S.* “Vibrational relaxation in compressible isotropic turbulence with thermal nonequilibrium.” Physical Review Fluids, 5, 044602.

  8. 2019

    Zheng Q., Alam M. M.* “Evolution of the wake of three inline square prisms.” Physical Review Fluids, 4, 104701.

  9. 2017

    Zheng Q., Alam M. M.* “Intrinsic features of flow past three square prisms in side-by-side arrangement.” Journal of Fluid Mechanics, 826, 996–1033.

  10. 2017

    Zheng Q., Rehman S., Alam M. M., Alhems L. M., Lashin A. “Decomposition of wind speed fluctuations at different time scales.” Journal of Earth System Science, 126, 36.

* 通讯作者* Corresponding author

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03

科研项目Research projects

近年主持及参与项目。Recent projects as principal investigator and collaborator.

主持项目Principal investigator

高超声速湍流边界层壁面极端摩阻与热流的动力学机制及可预测性研究Dynamics and predictability of extreme wall-friction and heat-flux events in hypersonic turbulent boundary layers

国家自然科学基金面上项目NSFC General Program

考虑大气湍流效应的声爆预测方法研究Sonic-boom prediction methods accounting for atmospheric turbulence

中国商飞—北航大飞机研究院创新研究基金COMAC–BUAA Aircraft Research Institute Innovation Fund

高超声速湍流边界层极端事件的空间流场反演与不确定量化分析Spatial flow-field reconstruction and uncertainty quantification of extreme events in hypersonic turbulent boundary layers

浙江省自然科学基金重点项目Key Program, Zhejiang Provincial Natural Science Foundation

基于多尺度梯度和自适应信任域的高效梯度优化器研究与开发Efficient gradient optimisation using multiscale gradients and adaptive trust regions

全国重点实验室计算数学专题开放课题Open Project in Computational Mathematics, National Key Laboratory

高超声速激波/湍流边界层相互作用热非平衡与粗糙壁面效应的直接数值模拟DNS of thermal nonequilibrium and rough-wall effects in hypersonic shock/turbulent-boundary-layer interaction

北京航空航天大学青年教师科研启动经费Beihang Young Faculty Research Fund

参与项目Collaborative projects

基于离散点力—热多参量同步测量的空间流场反演方法研究Spatial flow reconstruction from simultaneous sparse force and thermal measurements

国家自然科学基金重点支持项目NSFC Key Support Project

基于机器学习的湍流大涡模拟亚格子模型Machine-learning subgrid-scale modelling for LES of turbulence

国家自然科学基金面上项目NSFC General Program

04

授权发明专利Granted patents

围绕流场重建、实验测量与流动控制的技术成果。Technology outputs in flow reconstruction, experimental measurement and flow control.

P01

破损湍流场缺失信息重建方法与系统

Method and system for reconstructing missing information in damaged turbulent fields

ZL 2024 1 1148653.4

P02

平面流场漩涡中心标定方法、运动轨迹跟踪方法及系统

Vortex-centre calibration and trajectory tracking for planar flow fields

ZL 2025 1 1150109.8

P03

一种高精度、高负载的多用途旋转实验平台

A high-precision, high-load multipurpose rotating experimental platform

ZL 2025 1 1340307.0

P04

基于近壁速度场与稀疏观测点重建物理场的方法及系统

Physical-field reconstruction using near-wall velocity fields and sparse observations

ZL 2026 1 0230960.X

05

学习与科研经历Academic career

北京航空航天大学Beihang University国际创新学院 · 副教授International Innovation College · Associate Professor

香港科技大学Hong Kong University of Science and Technology机械与航空航天工程系 · 博士后Mechanical and Aerospace Engineering · Postdoctoral Fellow

南方科技大学Southern University of Science and Technology力学与航空航天工程系 · 博士后 / 研究助理教授Mechanics and Aerospace Engineering · Postdoctoral Fellow / Research Assistant Professor

哈尔滨工业大学Harbin Institute of Technology航空宇航科学与技术 · 博士Aeronautical and Astronautical Science and Technology · Ph.D.

哈尔滨工业大学Harbin Institute of Technology航空宇航科学与技术 · 硕士Aeronautical and Astronautical Science and Technology · M.Sc.

西北农林科技大学Northwest A&F University机械工程 · 学士Mechanical Engineering · B.Eng.

06

加入课题组Join the group

欢迎本科生、研究生和博士后联系。Prospective students and postdoctoral fellows are welcome to get in touch.

课题组长期招收本科生、硕士生、博士生和博士后,欢迎自动化、能源动力、数学/力学、机械、航空航天、人工智能和计算机等相关专业背景的同学。

The group welcomes undergraduate researchers, master's and Ph.D. students, and postdoctoral fellows with backgrounds in automation, energy and power, mathematics and mechanics, mechanical engineering, aerospace, artificial intelligence or computer science.

  • 团结、互信的学习与工作氛围A collegial and trusting research environment
  • 充分的专业指导与科研支持Close mentorship and strong research support
  • 与海内外高校、研究院所及企业的广泛合作Broad collaborations with universities, institutes and industry
  • 常年招聘博士后Postdoctoral positions available year-round