Discrete multicriteria reliability-based optimization of spatial trusses

  • Stefan Jendo Institute of Fundamental Technological Research, Polish Academy of Science
  • Witold M. Paczkowski Technical University of Szczecin
  • Ewa Silicka Technical University of Szczecin

Abstract

The paper presents problem of discrete multicriteria optimization of two-layer regular orthogonal spatial trusses. Three criteria of evaluation are taken into account, namely: minimum of weight, maximum of reliability and maximum of stiffness of the structure. To simplify the problem, decomposition techniques are applied. The decision variables are cross-sections of the truss members. The best possible cross section is selected for each bar from a discrete catalogue. Other decision variables (coordinated variables) describe also the geometry of the structure. The multicriteria reliability-based algorithm allows for evaluating the objective functions values and then finding sets of nondominated evaluations and solutions. Reliability of the structure is expressed by the Hasofer-Lind reliability index β.

Keywords

References

[1] W.R. Blischke, D.N.P. Murthy. Reliability. Modeling, Prediction, and Optimization. Wiley, 2000.
[2] R Brodshaw, D. Campbell, M. Gargari, A. Mirmiran, P. Tripeny. Special structures: past, present, and future. Journal of Structural Engineering, 128: 691-709, 2002.
[3] D. Dutta. Structures with Hollow Sections. Wiley, 2002.
[4] I. Enevoldsen, J.D. Sorensen. Decomposition techniques and effective algorithms in reliability-based optimization. Int. Conf. on Computational Stochastic Mechanics, Athens 13-15 June 1994. Structural Reliability Theory, No. 130.
[5] G. Fu, D.M. Frangopol. Reliability-based vector optimization of structural systems. Journal of Structural Engineering, 116: 2143-2161, 1990.
Published
Aug 18, 2022
How to Cite
JENDO, Stefan; PACZKOWSKI, Witold M.; SILICKA, Ewa. Discrete multicriteria reliability-based optimization of spatial trusses. Computer Assisted Methods in Engineering and Science, [S.l.], v. 14, n. 3, p. 485-496, aug. 2022. ISSN 2956-5839. Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/818>. Date accessed: 21 nov. 2024.
Section
Articles