This work presents a detailed evaluation of radial basis function mesh deformation for complex iced geometries and rotorcraft simulations. Given the high computational cost of mesh deformation, state-of-the-art radial basis function techniques are used for data reduction. The principle procedures adopted are multi-level greedy surface point selection and volume point reduction. The multi-level greedy surface point selection reduces the control point list to increase the efficiency of the interpolation operation and the volume point reduction improves the computational cost of the volume mesh update operation which is important for large data sets. The study demonstrates the mesh deformation capabilities on two in-flight icing test cases as well as for a AH-1H cobra helicopter main rotor in forward flight.
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Referent: Myles C. Morelli, Department of Aerospace Engineering, Politecnico di Milano
Zeit: 11:30 Uhr
Ort: online
