中国·3044AM永利集团(股份)有限公司-官方网站

SONG Wenbin

Associate Researcher

School of Aeronautics and Astronautics, Room 337 swb@sjtu.edu.cn

Educational Background

1996 - 2002， University of Southampton, UK, Computational Engineering, Doctor
1993 - 1996， China Academy of Launch Vehicle Technology, Structural Engineering, Master
1989 - 1993， Beihang University, Flight Vehicle Design, Bachelor

Work Experience

2008-Present，Shanghai Jiao Tong University，Associate Professor
2017-2017，Hong Kong University of Science and Technology，Visiting Associate Professor
2014-2017，University of Southampton，University of Southampton
2002-2008，University of Southampton，Research Fellow

Research Interests

Developed and continues to direct the Value-driven aircraft design with industrial partners
Developed high-order numerical methods for flow and acoustic analysis with applications to low noise highlift, contra-rotating open rotor configurations as well as engine nacelle acoustic liner optimizations
Developed efficient optimization methodology based on hybrid surrogate models and memetic optimization methods
Developed a framework for rapid aircraft sizing based on a variety of models
In parallel, conducted research in CFD and multi-disciplinary design optimization with applications to civil aircraft, amphibian

Representative Papers And Monographs

Qiu, S., Song, W., Turbofan Duct Geometry Optimization for Low Noise Using Continuous Adjoint Method, to the 19th AIAA/CEAS Aeroacoustics Conference (34th AIAA Aeroacoustics Conference), 2013.
Qiu, S., Song, W., Liu, H., Shape optimization of a general bypass duct for tone noise reduction using continuous adjoint method, Journal of Mechanical Engineering Science, Vol. 228, No. 1, pp. 119-134. 2015.
Yiming Xu, Wenbin Song, Conceptual Design of a Submersible Aircraft with Morphing Technology, Asian Workshop on Aircraft Design Education, AWADE 2016, Nanjing, 2016.
Xu Y, Song W, Zhao D. Efficient Optimization of Ringlets for Drag Reduction over the Complete Mission Profile [J]. AIAA Journal. 2018: 1-12.