As the PI in multiple supersonic and hypersonic missile aerodynamic heating programs, he won the Prize of AVIC Science and Technology Progress Award Science in 1999 and received funding from the Shanghai Young Star of Science and Technology foundation in 2003. Prof. Liu was elected as a candidate for the Excellent Young Teachers of Shanghai in 2003. He is now the head of the Department of Aircraft design and the Director of the J.C. Wu Center of Aerodynamics.
To efficiently model fluid-thermal-structural problems for thermal protection design of hypersonic vehicles, a framework of Hypersonic Computational Coupling Dynamics (HyCCD) software integrates an independently developed program solving hypersonic aerthermodynamic simulation with a finite element analysis professional software. With the mathematical and physical description of multi-physics coupling mechanism, the corresponding efficient coupling strategies were proposed. Some representative coupling problems encountered in hypersonic vehicle were systematically analyzed to study the intrinsic fluid-thermal-structural coupling characteristics and mechanisms. The results can theoretically and technically support the studies on comprehensive performance assessment and optimization of thermal protection system and static or dynamic aerothermoelastic problem of hypersonic vehicles.
Part of the book: Advances in Some Hypersonic Vehicles Technologies
A hierarchical progressive optimization approach is proposed for multidisciplinary optimal design by integrating with generalized parametric modeling and sensitivity analysis. The framework includes the following: (1) to set up a generalized parametric model for the geometric parameters of flight vehicles with different levels, (2) to reduce the number of design parameters using sensitivity analysis method and (3) to use the gradual optimization design method to solve the problem of integrated aerodynamic-stealth optimization design. The results from the application on the configuration optimization of an aircraft demonstrate that the hierarchical progressive optimization increases the fitness of the optimization design by 51.1% and improves the conceptual design efficiency.
Part of the book: Aircraft Technology