Fast divergence-conforming reduced basis methods for steady Navier-Stokes flow
Eivind Fonn, Harald van Brummelen, Trond Kvamsdal, Adil Rasheed

TL;DR
This paper introduces a divergence-conforming reduced basis method for steady Navier-Stokes flow that improves computational efficiency by using a solenoidal velocity basis, enabling accurate pressure recovery and geometric parameter analysis.
Contribution
It presents a velocity-only RB approach with solenoidal basis functions derived from divergence-conforming B-splines, enhancing efficiency and stability for parametrized incompressible flow problems.
Findings
Significant online computational speedup achieved.
Pressure can be accurately recovered at negligible additional cost.
Method effectively handles geometric parameter variations.
Abstract
Reduced-basis methods (RB methods or RBMs) form one of the most promising techniques to deliver numerical solutions of parametrized PDEs in real-time performance with reasonable accuracy. For incompressible flow problems, RBMs based on LBB stable velocity-pressure spaces do not generally inherit the stability of the underlying high-fidelity model and, instead, additional stabilization techniques must be introduced. One way of bypassing the loss of LBB stability in the RBM is to inflate the velocity space with supremizer modes. This however deteriorates the performance of the RBM in the performance-critical online stage, as additional DOFs must be introduced to retain stability, while these DOFs do not effectively contribute to accuracy of the RB approximation. In this work we consider a velocity-only RB approximation, exploiting a solenoidal velocity basis. The solenoidal reduced basis…
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