Push-over Analysis of Optimized Steel Frames
Received: 12 September 2022 | Revised: 28 September 2022 | Accepted: 1 October 2022 | Online: 14 October 2022
Corresponding author: M. I. E. Terki Hassaine
Abstract
The traditional optimization methods are effective when dealing with small-scale problems. However, for large-scale problems, these methods fail to obtain optimal solutions, and after a long operation, several solutions are obtained. New methods, known as metaheuristics, have provided new implementations to be used in many applications. They have enabled the resolution of many complex industrial and technical problems. They have the merits of avoiding local optima and finding optimal solutions, due to their ease of understanding, flexibility, adaptation simplicity, and ability to get out of local optima traps. This article aims to model a 2D metal frame gantry with two spans and two levels already optimized by ROBOT Millennium software in order to show the effect of structural optimization in the pre-design phase and of obtaining its non-linear behavior by the pushover method. Three optimal dimensional configurations of this gantry were taken into account and the best was chosen, one which satisfied an adequate behavior in the non-linear domain while respecting the CM66 and Eurocode3 regulations.
Keywords:
Optimization, Vulnerability, Push-over method, Non-linear behaviorDownloads
References
M. I. E. Terki Hassaine, S. M. Bourdim, A. Benanane, and Y. Zelmat, "Optimization of Metallic Structures by Applying Genetic Algorithm," in Proceedings of the International Conference on Automation Innovation in Construction (CIAC-2019), Leiria, Portugal, 2019, pp. 341–348. DOI: https://doi.org/10.1007/978-3-030-35533-3_41
S. Mirjalili, "The Ant Lion Optimizer," Advances in Engineering Software, vol. 83, pp. 80–98, May 2015. DOI: https://doi.org/10.1016/j.advengsoft.2015.01.010
S. A. Uymaz, G. Tezel, and E. Yel, "Artificial Algae Algorithm (aaa) for Nonlinear Global Optimization," Applied Soft Computing, vol. 31, pp. 153–171, Jun. 2015. DOI: https://doi.org/10.1016/j.asoc.2015.03.003
D. Behrens, T. Schoormann, and R. Knackstedt, "Developing an Algorithm to Consider Mutliple Demand Response Objectives," Engineering, Technology & Applied Science Research, vol. 8, no. 1, pp. 2621–2626, Feb. 2018. DOI: https://doi.org/10.48084/etasr.1819
A. Hatamlou, "Black hole: A new heuristic optimization approach for data clustering," Information Sciences, vol. 222, pp. 175–184, Feb. 2013. DOI: https://doi.org/10.1016/j.ins.2012.08.023
B. Crawford et al., "A Binary Cat Swarm Optimization Algorithm for the Non-Unicost Set Covering Problem," Mathematical Problems in Engineering, vol. 2015, Jul. 2015, Art. no. e578541. DOI: https://doi.org/10.1155/2015/578541
J. R. Koza, "Genetically breeding populations of computer programs to solve problems in artificial intelligence," in [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, Herndon, VA, USA, Aug. 1990, pp. 819–827.
G. A. Alshammari, F. A. Alshammari, T. Guesmi, B. M. Alshammari, A. S. Alshammari, and N. A. Alshammari, "A New Particle Swarm Optimization Based Strategy for the Economic Emission Dispatch Problem Including Wind Energy Sources," Engineering, Technology & Applied Science Research, vol. 11, no. 5, pp. 7585–7590, Oct. 2021. DOI: https://doi.org/10.48084/etasr.4279
S. Mirjalili, S. M. Mirjalili, and A. Lewis, "Grey Wolf Optimizer," Advances in Engineering Software, vol. 69, pp. 46–61, Mar. 2014. DOI: https://doi.org/10.1016/j.advengsoft.2013.12.007
S. Carbas and O. Tunca, "Brain Storm Optimization for Design of 2D Steel Frame Structures," in 1st International Conference on Engineering and Applied Natural Sciences, Konya, Turkey, May 2022, pp. 1023–1029.
J. Fulcher, "Computational Intelligence: An Introduction," in Computational Intelligence: A Compendium, J. Fulcher and L. C. Jain, Eds. Berlin, Heidelberg, Germany: Springer, 2008, pp. 3–78. DOI: https://doi.org/10.1007/978-3-540-78293-3_1
S. Palizi and A. Saedi Daryan, "Plastic Analysis of Braced Frames by Application of Metaheuristic Optimization Algorithms," International Journal of Steel Structures, vol. 20, no. 4, pp. 1135–1150, Aug. 2020. DOI: https://doi.org/10.1007/s13296-020-00347-z
A. Saedi Daryan and S. Palizi, "New Plastic Analysis Procedure for Collapse Prediction of Braced Frames by Means of Genetic Algorithm," Journal of Structural Engineering, vol. 146, no. 1, Jan. 2020, Art. no. 04019168. DOI: https://doi.org/10.1061/(ASCE)ST.1943-541X.0002462
C. Hopfe, M. Emmerich, R. Marijt, and J. Hensen, "Robust multi-criteria design optimization in building design," presented at the Proceedings of the 1st IBPSA-England Conference Building Simulation and Optimization, Loughborough, UK, Sep. 2012, pp. 118–125.
B. Ghojogh, S. Sharifian, and H. Mohammadzade, "Tree-Based Optimization: A Meta-Algorithm for Metaheuristic Optimization." arXiv, Sep. 24, 2018.
J. Chun et al., "EzTaxon: a web-based tool for the identification of prokaryotes based on 16S ribosomal RNA gene sequences," International Journal of Systematic and Evolutionary Microbiology, vol. 57, no. 10, pp. 2259–2261. DOI: https://doi.org/10.1099/ijs.0.64915-0
N. L. Tran and T. H. Nguyen, "Reliability Assessment of Steel Plane Frame’s Buckling Strength Considering Semi-rigid Connections," Engineering, Technology & Applied Science Research, vol. 10, no. 1, pp. 5099–5103, Feb. 2020. DOI: https://doi.org/10.48084/etasr.3231
F. P. Chantrelle, H. Lahmidi, W. Keilholz, M. E. Mankibi, and P. Michel, "Development of a multicriteria tool for optimizing the renovation of buildings," Applied Energy, vol. 88, no. 4, pp. 1386–1394, Apr. 2011. DOI: https://doi.org/10.1016/j.apenergy.2010.10.002
B. Eisenhower, Z. O’Neill, S. Narayanan, V. A. Fonoberov, and I. Mezić, "A methodology for meta-model based optimization in building energy models," Energy and Buildings, vol. 47, pp. 292–301, Apr. 2012. DOI: https://doi.org/10.1016/j.enbuild.2011.12.001
A. Torres, B. Mahmoudi, A. J. Darras, A. Imanpour, and R. G. Driver, "Achieving an Optimized Solution for Structural Design of Single-Storey Steel Buildings Using Generative Design Methodology," in Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021, Singapore, 2021, pp. 301–312. DOI: https://doi.org/10.1007/978-981-19-0656-5_25
R. Roy, S. Hinduja, and R. Teti, "Recent advances in engineering design optimisation: Challenges and future trends," CIRP Annals, vol. 57, no. 2, pp. 697–715, Jan. 2008. DOI: https://doi.org/10.1016/j.cirp.2008.09.007
M. Hamdy, A. Hasan, and K. Siren, "Impact of adaptive thermal comfort criteria on building energy use and cooling equipment size using a multi-objective optimization scheme," Energy and Buildings, vol. 43, no. 9, pp. 2055–2067, Sep. 2011. DOI: https://doi.org/10.1016/j.enbuild.2011.04.006
H. A. M. Yazdi and N. H. R. Sulong, "Optimization of Off-Centre Bracing System Using Genetic Algorithm," Journal of Constructional Steel Research, vol. 67, no. 10, pp. 1435–1441, Oct. 2011. DOI: https://doi.org/10.1016/j.jcsr.2011.03.017
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Copyright (c) 2022 S. M. E. A. Bourdim, M. I. E. Terki Hassaine, H. Varum; A. Benanane; A. Nour
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