Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 9, 2018
|
|
---|---|---|
Article Number | A4 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/smdo/2018003 | |
Published online | 20 July 2018 |
Research Article
Topology optimization of the multi-fasteners jointed structure considering fatigue constraints
Engineering Simulation and Aerospace Computing, Northwestern Polytechnical University,
710072
Xi'an,
Shaanxi, PR China
* e-mail: houjie@mail.nwpu.edu.cn
Received:
5
December
2017
Accepted:
27
March
2018
This paper is to present an important issue of fatigue failure in the design of multi-fasteners jointed structure. To avoid failure in the connection area, Sines criterion is utilized. Fatigue constraints are handled in the context of stress based topology optimization. To eliminate the high stresses caused by the finite element modeling, the control volume is defined to evaluate the stress states around the fasteners. The standard topology optimization is extended to minimize the structural compliance with fatigue failure constraints. To address singularity problems related to stress constraints, q-p relaxation is used. P-norm is used as the constraints aggregation scheme. Basing on the above, the design sensitivity of fatigue constraints is derived and calculated. The proposed method is verified by a numerical example of an assembled I-beam. The comparisons of the numerical results have shown the effect of the fatigue constraint.
Key words: Topology optimization / Multi-fastener Joint / Fatigue constraint
© J. Hou et al., published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.