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Challenges of integrating adjoint simulations in industrial turbomachinery MDO

Backhaus, Jan and Voß, Christian and Frey, Christian (2022) Challenges of integrating adjoint simulations in industrial turbomachinery MDO. ECCOMAS Congress 2022, 5.-9. Jun. 2022, Oslo, Norwegen. (Submitted)

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The design of turbomachinery creates a strong demand for the simultaneous optimization of multiple blade rows with regard to different disciplines including aerodynamics, aeroelasticity, and solid mechanics. Established gradient-free methods, typically surrogate-based methods, have been successfully applied to the optimization of single blade rows and pairs of adjacent rows, typically featuring in the order of 50 design variables per blade row. Gradient-free methods become inhibitively expensive through the increased number of design variables from simultaneous optimizations of many rows. Gradients obtained from adjoint simulations can help in transitioning to larger design spaces as they provide derivatives with respect to each design variable at a computational cost that only depends on the number of objectives. For the transition from gradient-free to gradient-based optimizations, a variety of challenges had to be solved, which will be outlined in this paper.

Item URL in elib:https://elib.dlr.de/187027/
Document Type:Conference or Workshop Item (Speech)
Title:Challenges of integrating adjoint simulations in industrial turbomachinery MDO
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Backhaus, Janjan.backhaus (at) dlr.dehttps://orcid.org/0000-0003-1951-3829
Voß, Christianchristian.voss (at) dlr.deUNSPECIFIED
Frey, ChristianChristian.Frey (at) dlr.dehttps://orcid.org/0000-0003-0496-9225
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Adjoint CFD, Turbomachinery, Multidisciplinary Optimization
Event Title:ECCOMAS Congress 2022
Event Location:Oslo, Norwegen
Event Type:international Conference
Event Dates:5.-9. Jun. 2022
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Clean Propulsion
DLR - Research area:Aeronautics
DLR - Program:L CP - Clean Propulsion
DLR - Research theme (Project):L - Virtual Engine
Location: Köln-Porz
Institutes and Institutions:Institute of Propulsion Technology > Numerical Methodes
Institute of Propulsion Technology > Fan and Compressor
Deposited By: Backhaus, Jan
Deposited On:23 Jun 2022 12:51
Last Modified:23 Jun 2022 12:51

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