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  4. An efficient adjoint sensitivity analysis of flexible multibody systems for a level‐set‐based topology optimization
 
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An efficient adjoint sensitivity analysis of flexible multibody systems for a level‐set‐based topology optimization

Citation Link: https://doi.org/10.15480/882.3898
Publikationstyp
Conference Paper
Date Issued
2021-01-25
Sprache
English
Author(s)
Azari Nejat, Ali 
Held, Alexander  orcid-logo
Seifried, Robert  orcid-logo
Institut
Mechanik und Meerestechnik M-13  
TORE-DOI
10.15480/882.3898
TORE-URI
http://hdl.handle.net/11420/10914
Journal
Proceedings in applied mathematics and mechanics  
Volume
20
Issue
1
Article Number
202000066
Citation
Proceedings in applied mathematics and mechanics 20 (1): 202000066 (2021)
Contribution to Conference
91st Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM 2021)  
Publisher DOI
10.1002/pamm.202000066
Publisher
Wiley-VCH
Peer Reviewed
true
For large-scale topology optimization of flexible multibody systems, only little results exist. This is due to the complexity of the modeling of the flexible bodies and the big effort to provide exact gradients. The considered flexible multibody systems can undergo both large nonlinear motions as well as small elastic deformations. Here, the flexible components are modeled by the floating frame of reference approach. For gradient calculation, the fully coupled adjoint sensitivity analysis is used, which is a semi-analytical approach based on variational calculus. The computational effort strongly corresponds to the number of design variables. In this work, a design space reduction using radial basis functions is performed and the gradient of flexible components is constructed based on its exact value on a subset of selected design elements. In order to show the substantial gain in computation time, the exact and approximated gradient of a flexible crank in a slider-crank mechanism are computed and applied for a level-set-based topology optimization.
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding(s)
Projekt DEAL  
Publication version
acceptedVersion
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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