The article published by RBF Morph in Enginsoft Newsletter Year 15 n.4 Winter 2018 deals with a critical aspect of digital twins: the need to gain computational results in real time.
Since high-fidelity CFD simulations, which have already proven to be useful in predicting the growth and evolution of CVD pathologies, require a lot of computational effort, a methodology to overcome this problem was proposed. ROM has proven to be very efficient in reducing the computing costs for complex multidegree-of-freedom models (like CFD models). On the other hand, RBF mesh morphing has proven to be highly efficient in generating different shapes for numerical models, thus reducing the time required to generate new ones. The proposed methodology envisages the synergetic use of ROM and RBF mesh morphing to generate a new shape for the CFD model including its numerical results from a discrete set of shape configurations.
For a comprehensive read of this engaging discussion, we invite you to explore the full article by following this link.