elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

CAD-integration for Gradient-based Shape Optimization using the Algorithmically Differentiated pythonOCC Library

Banovic, Mladen and Büchner, Adam and Hafemann, Thomas and Wegener, Patrick and Stück, Arthur (2026) CAD-integration for Gradient-based Shape Optimization using the Algorithmically Differentiated pythonOCC Library. In: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control, EUROGEN 2025, 60, pp. 51-67. Springer Nature Switzerland. 16th Conference on Evolutionary and Deterministic Methods for Design, Optimization, and Control with Applications (EUROGEN 2025), 2025-09-16 - 2025-09-18, Lahti, Finland. doi: 10.1007/978-3-032-21893-3_4. ISBN 978-3-032-21892-6. ISSN 1871-3033.

This is the latest version of this item.

[img] PDF
872kB

Official URL: https://link.springer.com/chapter/10.1007/978-3-032-21893-3_4

Abstract

pythonOCC is a library that provides Python bindings for the Open CASCADE Technology (OCCT) C++ geometric modelling kernel. To integrate it into a gradient-based shape optimization, one requires to compute the so-called geometric sensitivities, e.g., derivatives of surface nodes with respect to the design parameters. To obtain this information, pythonOCC and OCCT were algorithmically differentiated. Here, they are modularly integrated in the form of a CAD plugin into a framework for multidisciplinary design analysis and optimization (MDAO) based on the DLR's FlowSimulator HPC ecosystem. The CAD plugin allows a robust and metadata-enabled mesh-to-CAD association between MPI domain-decomposed mesh objects and the underlying CAD patches, as well as the computation of geometric sensitivities. The framework integration of pythonOCC is demonstrated in a context of gradient-based, aerodynamic shape optimization for a RAE2822 configuration in fully turbulent, transonic flow.

Item URL in elib:https://elib.dlr.de/221410/
Document Type:Conference or Workshop Item (Speech)
Title:CAD-integration for Gradient-based Shape Optimization using the Algorithmically Differentiated pythonOCC Library
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Banovic, MladenMladen.Banovic (at) dlr.dehttps://orcid.org/0000-0002-9056-3784222036655
Büchner, AdamAdam.Buechner (at) dlr.dehttps://orcid.org/0009-0000-9719-2376222036656
Hafemann, ThomasThomas.Hafemann (at) dlr.deUNSPECIFIEDUNSPECIFIED
Wegener, PatrickPatrick.Wegener (at) dlr.deUNSPECIFIEDUNSPECIFIED
Stück, ArthurArthur.Stueck (at) dlr.deUNSPECIFIEDUNSPECIFIED
Date:4 June 2026
Journal or Publication Title:Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control, EUROGEN 2025
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:60
DOI:10.1007/978-3-032-21893-3_4
Page Range:pp. 51-67
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Hämäläinen, JariUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Amadi, MiracleUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Gauger, NicolasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Giannakoglou, KyriakosUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Periaux, JacquesUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:Springer Nature Switzerland
Series Name:Computational Methods in Applied Sciences
ISSN:1871-3033
ISBN:978-3-032-21892-6
Status:Published
Keywords:Gradient-based optimization, CAD-based optimization, Algorithmic Differentiation (AD), Geometric sensitivity, Open CASCADE Technology (OCCT)
Event Title:16th Conference on Evolutionary and Deterministic Methods for Design, Optimization, and Control with Applications (EUROGEN 2025)
Event Location:Lahti, Finland
Event Type:international Conference
Event Start Date:16 September 2025
Event End Date:18 September 2025
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Virtual Aircraft and  Validation, L - Digital Technologies
Location: Dresden
Institutes and Institutions:Institute of Software Methods for Product Virtualization > Simulation Frameworks
Institute for Aerodynamics and Flow Technology > Transport Aircraft
Deposited By: Banovic, Mladen
Deposited On:22 Dec 2025 08:41
Last Modified:03 Sep 2026 10:31

Available Versions of this Item

  • CAD-integration for Gradient-based Shape Optimization using the Algorithmically Differentiated pythonOCC Library. (deposited 22 Dec 2025 08:41) [Currently Displayed]

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.