[引用][C] Cad kernel and grid generation algorithmic differentiation for turbomachinery adjoint optimization
IS Torreguitart, T Verstraete, L Mueller - … of the ECCOMAS Congress, Crete Island …, 2016
[PDF][PDF] CAD KERNEL AND GRID GENERATION ALGORITHMIC DIFFERENTIATION FOR TURBOMACHINERY ADJOINT OPTIMIZATION
M Papadrakakis, V Papadopoulos, G Stefanou… - researchgate.net
Although adjoint-based optimization methods have numerous advantages such as the
efficient computation of the gradient virtually independent of the number of design variables,
the methods are not yet picked up largely by industry. One major bottleneck herein is that
adjoint methods mainly work on deforming the CFD grid and as such loose the connection to
CAD, the industry adopted standard for the design of components. After the optimization a
step is required which transforms the optimal shape, defined by grid points, back to a smooth …
efficient computation of the gradient virtually independent of the number of design variables,
the methods are not yet picked up largely by industry. One major bottleneck herein is that
adjoint methods mainly work on deforming the CFD grid and as such loose the connection to
CAD, the industry adopted standard for the design of components. After the optimization a
step is required which transforms the optimal shape, defined by grid points, back to a smooth …
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