Linking Parametric CAD with Adjoint Surface Sensitivities

Ilias Vasilopoulos, Dheeraj Agarwal, Marcus Meyer, Trevor T. Robinson, Cecil G. Armstrong

Research output: Contribution to conferencePaper

6 Citations (Scopus)
588 Downloads (Pure)


The goal of this work is to present an efficient CAD-based adjoint process chain for calculating parametric sensitivities (derivatives of the objective function with respect to the CAD parameters) in timescales acceptable for industrial design processes. The idea is based on linking parametric design velocities (geometric sensitivities computed from the CAD model) with adjoint surface sensitivities. A CAD-based design velocity computation method has been implemented based on distances between discrete representations of perturbed geometries. This approach differs from other methods due to the fact that it works with existing commercial CAD packages (unlike most analytical approaches) and it can cope with the changes in CAD model topology and face labeling. Use of the proposed method allows computation of parametric sensitivities using adjoint data at a computational cost which scales with the number of objective functions being considered, while it is essentially independent of the number of design variables. The gradient computation is demonstrated on test cases for a Nozzle Guide Vane (NGV) model and a Turbine Rotor Blade model. The results are validated against finite difference values and good agreement is shown. This gradient information can be passed to an optimization algorithm, which will use it to update the CAD model parameters.
Original languageEnglish
Publication statusPublished - 09 Jun 2016
EventEuropean Congress on Computational Methods in Applied Sciences and Engineering: ECCOMAS - Creta Island, Athens, Greece
Duration: 05 Jun 201610 Jun 2016
Conference number: VII


ConferenceEuropean Congress on Computational Methods in Applied Sciences and Engineering
Abbreviated titleECCOMAS 2016
Internet address


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