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Automatic Differentiation of the Open CASCADE Technology CAD System and its coupling with an Adjoint CFD Solver

Mladen Banovic(mladen.banovic***at***math.uni-paderborn.de)
Orest Mykhaskiv(o.mykhaskiv***at***qmul.ac.uk)
Salvatore Auriemma(salvatore.auriemma***at***opencascade.com)
Andrea Walther(andrea.walther***at***uni-paderborn.de)
Herve Legrand(herve.legrand***at***opencascade.com)
Jens-Dominik Müller(j.mueller***at***qmul.ac.uk)

Abstract: Automatic Differentiation (AD) is applied to the open-source CAD system Open CASCADE Technology using the AD software tool ADOL-C (Automatic Differentiation by OverLoading in C++). The differentiated CAD system is coupled with a discrete adjoint CFD solver, thus providing the first example of a complete differentiated design chain built from generic, multi-purpose tools. The design chain is demonstrated on the gradient-based optimisation of a squared U-bend turbo-machinery cooling duct to minimise the total pressure loss.

Keywords: Automatic Differentiation, CAD system, Adjoint CFD method, Gradient-based optimisation

Category 1: Nonlinear Optimization (Unconstrained Optimization )

Category 2: Applications -- Science and Engineering (Optimization of Systems modeled by PDEs )

Citation:

Download: [PDF]

Entry Submitted: 03/31/2017
Entry Accepted: 03/31/2017
Entry Last Modified: 03/31/2017

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