Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.3898
Publisher DOI: 10.1002/pamm.202000066
Title: An efficient adjoint sensitivity analysis of flexible multibody systems for a level‐set‐based topology optimization
Language: English
Authors: Azari Nejat, Ali 
Held, Alexander  
Seifried, Robert  
Issue Date: 25-Jan-2021
Publisher: Wiley-VCH
Source: Proceedings in applied mathematics and mechanics 20 (1): 202000066 (2021)
Abstract (english): 
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.
Conference: 91st Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM 2021) 
URI: http://hdl.handle.net/11420/10914
DOI: 10.15480/882.3898
ISSN: 1617-7061
Journal: Proceedings in applied mathematics and mechanics 
Institute: Mechanik und Meerestechnik M-13 
Document Type: Chapter/Article (Proceedings)
Project: Projekt DEAL 
Peer Reviewed: Yes
License: CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives) CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives)
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