Size and shape design optimization of truss structures using the Jaya algorithm

• Autorzy: Grzywiński Maksym

Identyfikatory

DOI

10.24423/cames.282

• Języki publikacji: EN

Abstrakty

EN

The metaheuristic algorithm is proposed to solve the weight minimization problem of trussstructures, considering the shape and sizing design variables. Design variables are discreteand/or continuous. The design of truss structures is optimized by an efficient optimiza-tion algorithm called Jaya. The main feature of Jaya is that it does not require settingalgorithm-specific parameters. The algorithm has a very simple formulation in which thebasic idea is to approach the best solution and escape from the worst solution [6]. Analysesof structures are performed by a finite element code in MATLAB. The effectiveness of theJaya algorithm is demonstrated using two benchmark examples: planar truss 18-bar andspatial truss 39-bar, and compared with results in references.

Słowa kluczowe

EN

spatial truss; size optimization; planar truss; shape optimization; discrete variable; continuous variable; Jaya algorithm

PL

kratownica płaska; kratownica przestrzenna; optymalizacja wielkości; optymalizacja kształtu; zmienna dyskretna; zmienna ciągła; algorytm Jaya

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2020
• Tom: Vol. 27, no. 2-3
• Strony: 177--184
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wykr.

Twórcy

autor

Grzywiński Maksym

• Czestochowa University of Technology Faculty of Civil Engineering Akademicka 3, Częstochowa, Poland

Bibliografia

• 1. W. Cheng, F. Liu, L.J. Li, Size and geometry optimization of trusses using teaching-learning-based optimization, International Journal of Optimization in Civil Engineering, 3 (3): 431–444, 2013.
• 2. T. Dede, Y. Ayvaz, Combined size and shape optimization of structures with a new meta-heuristic algorithm, Applied Soft Computing, 28 : 250–258, 2015, doi: 10.1016/j.asoc.2014.12.007.
• 3. T. Dede, Jaya algorithm to solve single objective size optimization problem for steel grillage structures, Steel and Composite Structures, 26 (2): 163–170, 2018, doi: 10.12989/scs.2018.26.2.163.
• 4. S.O. Degertekin, L. Lamberti, I.B. Ugur, Sizing, layout and topology design optimization of truss structures using the Jaya algorithm, Applied Soft Computing, 70 : 903–928, 2018, doi: 10.1016/j.asoc.2017.10.001.
• 5. M. Grzywiński, T. Dede, Y.I. Özdemir, Optimization of the braced dome structures by using Jaya algorithm with frequency constraints, Steel and Composite Structures, 30 (1): 47–55, 2019, doi: 10.12989/scs.2019.30.1.047.
• 6. M. Grzywiński, J. Selejdak, T. Dede, Shape and size optimization of trusses with dynamic constraints using a metaheuristic algorithm, Steel and Composite Structures, 33 (5): 747– 753, 2019, doi: 10.12989/scs.2019.33.5.747.
• 7. A. Kaveh, V. Kalatjari, Size/geometry optimization of trusses by the force method and genetic algorithm. Journal of Applied Mathematics and Mechanics, 84 (5): 347–357, 2004, doi: 10.1002/zamm.200310106.
• 8. R.V. Rao, Jaya: A simple and new optimization algorithm for solving constrained and un- constrained optimization problems, International Journal of Industrial Engineering Computations, 7 (1): 19–34, 2016, doi: 10.5267/j.ijiec.2015.8.004.
• 9. D. Wang, W.H. Zhang, J.S. Jiang, Combined shape and sizing optimization of truss structures, Computational Mechanics, 29 (4–5): 307–312, 2002, doi: 10.1007/s00466-002-0343-x.