Computational & Technology Resources
an online resource for computational,
engineering & technology publications |
|
Civil-Comp Conferences
ISSN 2753-3239 CCC: 5
PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING, MACHINE LEARNING AND OPTIMISATION IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: P. Iványi, J. Logo and B.H.V. Topping
Paper 1.6
Enhancing thermal topology optimization with an elasto-plastic algorithm M.M. Rad1, M. Habashneh1, R. Cucuzza2,
M. Domaneschi2 and J. Melchiorre2
1Department of Structural and Geotechnical Engineering,
Széchenyi István University, Gyor, Hungary
M.M. Rad, M. Habashneh, R. Cucuzza,
M. Domaneschi, J. Melchiorre, "Enhancing thermal topology optimization
with an elasto-plastic algorithm", in P. Iványi, J. Logo, B.H.V. Topping, (Editors), "Proceedings of the Sixth International Conference on
Soft Computing, Machine Learning and Optimisation in
Civil, Structural and Environmental Engineering", Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 5, Paper 1.6, 2023, doi:10.4203/ccc.5.1.6
Keywords: elasto-plastic, geometrically nonlinear, thermal analysis, topology
optimization, BESO.
Abstract
This paper presents an approach to optimize the design of structures under high
temperature conditions by employing bi-directional evolutionary structural
optimization (BESO) in elasto-plastic limit analysis. The elasto-plastic design
approach considers plastic ultimate load multiplier. By adopting the BESO method,
the optimal material distribution within the design domain is identified to achieve the
desired structural performance while minimizing material usage. Different thermal
loads were considered for elastic and elasto-plastic designs, and the results show how
material layouts, mean stress, and complementary work resulted differently according
to those thermal loads. The effectiveness of the proposed approach was demonstrated
through numerical results, highlighting the potential to improve the optimization of
elasto-plastic design of structures under high temperature conditions. The presented
approach offers an efficient and robust design method for structures subjected to high
temperature conditions, which can improve their safety and durability.
download the full-text of this paper (PDF, 7 pages, 337 Kb)
go to the previous paper |
|