Research Institute of Mathematic Modeling and Intelligent Control Systems
Peter the Great St. Petersburg Polytechnic University
Major Directions of Basic Research:
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Turbulence modeling and simulation
Development and validation of different turbulence modeling and simulation approaches in the framework of RANS, LES, DNS, and RANS-LES hybrids
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Computational Aero-Acoustics
LES-Based Computational Tools for Noise Prediction
Major Scientific/Technical Achievements:
- Significant contributions to Turbulence Modeling, CAA and CFD.
The most important are:
- Detached-Eddy Simulation (DES) of turbulence
- Has turned the “vector of efforts” of turbulence modeling community to hybrid RANS-LES approaches
- General method for jet noise prediction from “first principles”
- First non-empirical CFD/CAA tool with accuracy of 2-3dB
- Innovative approaches to global stability analysis of turbulent flows
- Efficient techniques and software for global stability analysis of 2D and quasi-3D RANS solutions
- Innovative approaches to global stability analysis of turbulent flows
Major Areas of Applied Studies (more about it):
- External and internal aerodynamics
- CFD of complex external , internal and vertical turbulent flows of practical interest
- Aero-acoustics
- LES-based prediction of engine exhaust jets and airframe noise
- Flight comfort and safety
- Air-conditioning, Cabin-noise, etc.
- Convective heat-transfer
- Heating and ventilation systems
- Cooling of electronic devices
International Scientific/Technical Partnership:
- Major European Universities, Aerospace Research Establishments, and Industries (in the framework of EU Projects)
- Imperial College London, TUB, Chalmers University, University of Manchester, DLR, IMFT, ONERA, EADS-M, Bombardier, Alenia Aeronautics, Dassault Aviation, etc.
- ANSYS
- The Boeing Company
- General Electric Global Research
- General Electric Aviation Engines
The laboratory is open to institutions wishing to establish cooperation in the area of research!
Head of Laboratory:
Prof. Mikhail Kh. Strelets, e-mail: strelets@cfd.spbstu.ru, phone: +7 812 329 47 91