Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.3377
Publisher DOI: 10.1002/nme.6538
arXiv ID: 2005.03398v1
Title: Simultaneous topology and fastener layout optimization of assemblies considering joint failure
Language: English
Authors: Ambrozkiewicz, Olaf  
Kriegesmann, Benedikt  
Keywords: fail-safe; joint optimization; topology optimization
Issue Date: 15-Jan-2021
Publisher: Wiley
Source: International Journal for Numerical Methods in Engineering 122 (1): 294-319 (2021-01-15)
Abstract (english): 
This paper provides a method for the simultaneous topology optimization of parts and their corresponding joint locations in an assembly. Therein, the joint locations are not discrete and predefined, but continuously movable. The underlying coupling equations allow for connecting dissimilar meshes and avoid the need for remeshing when joint locations change. The presented method models the force transfer at a joint location not only by using single spring elements but accounts for the size and type of the joints. When considering riveted or bolted joints, the local part geometry at the joint location consists of holes that are surrounded by material. For spot welds, the joint locations are filled with material and may be smaller than for bolts. The presented method incorporates these material and clearance zones into the simultaneously running topology optimization of the parts. Furthermore, failure of joints may be taken into account at the optimization stage, yielding assemblies connected in a fail-safe manner.
URI: http://hdl.handle.net/11420/7370
DOI: 10.15480/882.3377
ISSN: 0029-5981
Journal: International Journal for Numerical Methods in Engineering 
Institute: Strukturoptimierung im Leichtbau M-EXK1 
Document Type: Article
Project: Topologieoptimierung unter Berücksichtigung von Ausfallsicherheit 
Ausfallsicherer Entwurf und heuristische Entwicklung der Fügeprozesse additiv gefertigter Integralstrukturen 
Projekt DEAL 
Realisierung additiv gefertigter Integralstrukturen 
Funded by: Bundesministerium für Wirtschaft und Energie - BMWi 
Deutsche Forschungsgemeinschaft (DFG) 
More Funding information: Bundesministerium für Wirtschaft und Energie, Grant/Award Number: 20W1708E; Deutsche Forschungsgemeinschaft, Grant/Award Number: KR 4914/3-1
License: CC BY-NC 4.0 (Attribution-NonCommercial) CC BY-NC 4.0 (Attribution-NonCommercial)
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