Algorithmic differentiation of the Open CASCADE Technology CAD kernel and its coupling with an adjoint CFD solver

DOI10.1080/10556788.2018.1431235zbMath1408.90321OpenAlexW2794045432WikidataQ115005279 ScholiaQ115005279MaRDI QIDQ4685575

Andrea Walther, Orest Mykhaskiv, Herve Legrand, Jens-Dominik Müller, Salvatore Auriemma, Mladen Banović

Publication date: 9 October 2018

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: http://qmro.qmul.ac.uk/xmlui/handle/123456789/33123

zbMATH Keywords

algorithmic differentiationgradient-based optimizationadjoint CFD methodCAD kernel

Mathematics Subject Classification ID

Symbolic computation and algebraic computation (68W30) Applications of mathematical programming (90C90) Computer-aided design (modeling of curves and surfaces) (65D17) Software, source code, etc. for problems pertaining to fluid mechanics (76-04)

Related Items (2)

Geometric continuity constraints of automatically derived parametrisations in CAD-based shape optimisation ⋮ Aerodynamic design optimization: challenges and perspectives

Uses Software

• ADOL-C
• L-BFGS-B
• L-BFGS
• Valgrind
• LBFGS-B
• TAPENADE
• Open CASCADE

Cites Work

• Pseudo-timestepping and verification for automatic differentiation derived CFD codes
• Shape derivatives for the compressible Navier-Stokes equations in variational form
• Mesh deformation using radial basis functions for gradient-based aerodynamic shape optimization
• Large-Scale Three-Dimensional Acoustic Horn Optimization
• The Tapenade automatic differentiation tool
• Evaluating Derivatives
• Algorithm 778: L-BFGS-B
• On optimum design in fluid mechanics
• CAD‐based shape optimisation with CFD using a discrete adjoint
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