97 citations · 335 across the 19 of their papers we have counts for
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math.OC2021★ 6 cited
Fluid dynamic shape optimization using self-adapting nonlinear extension operators with multigrid preconditioners
Jose Pinzon, Martin Siebenborn
In this article we propose a scalable shape optimization algorithm which is tailored for large scale problems and geometries represented by hierarchically refined meshes. Weak scal…
math.OC2021
A Novel -Harmonic Descent Approach Applied to Fluid Dynamic Shape Optimization
Peter Marvin Müller, Niklas Kühl, Martin Siebenborn +3
We introduce a novel method for the implementation of shape optimziation in fluid dynamics applications, where we propose to use the shape derivative to determine deformation field…