RBF Morph will join at the ANSYS Innovation User Conference and Workshop 2019 that will be taking place in May on 22th and 23th in Coventry (UK).
The our work titled “High Performance RBF Mesh Morphing Solutions to Face Typical Aerospace Problems” shows an overview the feature of RBF Morph and a set of examples of applications to typical problem of aerospace interest, also involving large computational domains. Details on the solver performance for several types of cases and of several dimensions in HPC environments will be also detailed.
There are several advantages in approaching the parameterization of discretized numerical models adopting mesh morphing techniques. Some of the most important are: the domain does not need to be remeshed, the consistency of the numerical configuration is preserved, there is no requirements of high solid modelling (CAD) knowledges and the parametric configuration is in general more robust if compared to a CAD/remeshing based approach. The quality of the morphing action is, however, strongly related to the performance of the algorithm adopted. Radial Basis Functions (RBF) are recognized to be an extremely powerful mathematical framework with which to face the mesh smoothing action. RBF based mesh morphing techniques have been, in fact, object of research for several decades but their adoption on industrial applications was limited, in the past, by the high computational costs they involve. The system of equations that needs to be solved has, in fact, the dimension of the number of source points of the RBF problem leading to a computational requirement that grows with the third power of its dimension.
The first commercial mesh morphing software based of RBF launched to the market is RBF Morph. The software implements innovative and efficient solving algorithms that offer performances able to manage large domains with efforts compatible with industrial practical interests. It offers, furthermore, large flexibility in setting up complex problems and provides powerful and efficient tools to implement problems ranging from shape optimization to steady and unsteady Fluid-Structure Interaction (FSI) analyses.
For more information about our speech you consult the Agenda.
We look forward to see you!