Neil Wu’s paper on geometric parameterization won first place in the MDO student paper competition at the AIAA Aviation Forum.
Neil’s paper presents a novel sensitivity-based geometric parameterization that constructs orthogonal design variables based on the geometric sensitivity of the embedded mesh. At the same time, the sensitivity information is used to determine an appropriate set of design variable scaling in an automated fashion. Together, the approach is able to obtain improvements in the convergence behaviour of the optimization, as well as 7% reduction in computational cost.
The paper can be accessed here.