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  4. Robust topology optimization of static systems with unilateral frictional contact
 
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Robust topology optimization of static systems with unilateral frictional contact

Citation Link: https://doi.org/10.15480/882.4766
Publikationstyp
Conference Paper
Date Issued
2022-06
Sprache
English
Author(s)
Schmidt, Timo Hendrik  orcid-logo
Kriegesmann, Benedikt  orcid-logo
Seifried, Robert  orcid-logo
Institut
Mechanik und Meerestechnik M-13  
Strukturmechanik im Leichtbau M-24  
TORE-DOI
10.15480/882.4766
TORE-URI
http://hdl.handle.net/11420/14257
Citation
8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022)
Contribution to Conference
8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2022  
Publisher DOI
10.23967/eccomas.2022.237
Scopus ID
2-s2.0-85146956000
Peer Reviewed
true
In this paper a robust topology optimization algorithm for linear elastic structures in unilateral contact is presented. The deformation of the linear elastic structure is constrained by support structures that are modeled with the help of Signorini’s contact conditions. The contact conditions in turn are enforced with the augmented Lagrangian approach. Doing so, the robust optimization considers uncertainties at the support such as manufacturing tolerances and its local friction behavior. Due to high numerical costs in robust optimization, the first-order second-moment approach is used to approximate the mean and variance of the objective.
This approximation results in minimal additional costs to approximate the mean, the variance and their gradients. Consequentially, a gradient-based optimization algorithm can be used to minimize a weighted sum of both. The results show that the presented approach indeed improves the robustness with respect to uncertain contact conditions compared to a deterministic optimization.
Subjects
Robust topology optimization
Contact
Uncertainty
DDC Class
530: Physik
600: Technik
620: Ingenieurwissenschaften
Funding(s)
Simulationsbasierte Entwurfsoptimierung dynamischer Systeme unter Unsicherheiten  
Funding Organisations
Freie und Hansestadt Hamburg (FHH)  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-nc-sa/4.0/
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