Application of Artificial Intelligence in the Optimal Seismic Design of Steel Structures Based on the Iran Mabhas-10 Regulations

Document Type : Original Article

Authors

1 Assistant Professor, Faculty of Civil Engineering, Imam Hossein University, Tehran, Iran.

2 PhD graduate, Department of Civil Engineering, Sharif University of Technology, Researcher at Khatam Al-Anbia Construction Research Institute., Tehran, Iran.

Abstract

The current research aims to provide an algorithm using artificial intelligence calculations to satisfy all the regulations of Mabhas-6, Mabhas-10, and standard 2800 of the national building regulations while minimizing the weight of the structure. In previous research, the control of constraints and the optimal design of steel moment frames were done in two dimensions and only with older algorithms. One of the most important tasks of this research is the completion of the new restrictions of regulations to control all the restrictions and optimal design of the widely used types of short and intermediate steel structures. All the regulations and controls necessary for the three main types of steel structures widely used in the country, such as 1) braced frames and 2) frames with shear walls, and 3) a dual system of moment frames and shear walls, have been implemented. Finally, the results of this algorithm were validated with a Tabriz hospital project. One of the valuable results of the work is to facilitate the safe design and control process of the steel buildings by providing a graphic panel of the model input and displaying all the essential outputs of the structure in the form of text and diagrams. The work process is intelligently programmed to be performed automatically by just inputting a standard ETABS file into the optimal seismic design process algorithm. In the ETABS file, each design group (e.g., columns, beams, braces, and walls) is defined as a list of usable sections so that the artificial intelligence algorithm can choose the best arrangement. For the three structural examples and the hospital project, we showed that in addition to design safety, significant savings between 11 to 30 percent could be made on the total steel weight, which would take several years to achieve these results for a computer without the use of artificial intelligence.

Keywords


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[1]             M. R. Hasani Ahangar and A. Moghaddasi “The Study and Introducing Artificial Intelligence Algorithm to Solve OptimizationIssues: Application, Advantages and Disadvantages”, Passive Defense Quarterly. 2014 Jan 12;4(3):13-24. (In Persian).
[2]             S. Rajasekaran and G. A. V. Pai, Neural networks, fuzzy logic and genetic algorithm: synthesis and applications. PHI Learning Pvt. Ltd., 2003.
[3]             B. Choudhury and R. M. Jha, “Soft Computing Techniques,” in Soft Computing in Electromagnetics, Cambridge University Press, 2016, pp. 9–44.
[4]             H. S. Park and C. W. Sung, “Optimization of steel structures using distributed simulated annealing algorithm on a cluster of personal computers,” Comput. Struct., vol. 80, no. 14–15, pp. 1305–1316, 2002.
[5]             S. Gholizadeh and O. A. Samavati, “Structural optimization by wavelet transforms and neural networks,” Appl. Math. Model., vol. 35, no. 2, pp.   915–929, 2011.
[6]             A. Kaveh and S. Talatahari, “Charged system search for optimal design of frame structures,” Appl. Soft Comput., vol. 12, no. 1, pp. 382–393, 2012.
[7]             R. Alberdi and K. Khandelwal, “Comparison of robustness of metaheuristic algorithms for steel frame optimization,” Eng. Struct., vol. 102, pp. 40–60, 2015, doi: https://doi.org/10.1016/j.engstruct.2015.08.012.
[8]             A. Kaveh, M. H. Ghafari, and Y. Gholipour, “Optimal seismic design of 3D steel moment frames: different ductility types,” Struct. Multidiscip. Optim., vol. 56, no. 6, pp. 1353–1368, 2017.
[9]             A. Kaveh, M. Z. Kabir, and M. Bohlool, “Optimum design of three-dimensional steel frames with prismatic and non-prismatic elements,” Eng. Comput., pp. 1–17, 2019.
[10]          M. Sarcheshmehpour, H. E. Estekanchi, and H. Moosavian, “Optimum seismic design of steel framed-tube and tube-in-tube tall buildings,” Struct. Des. Tall Spec. Build., vol. 29, no. 14, 2020, doi: 10.1002/tal.1782.
[11]          S. A. Mirfarhadi, H. E. Estekanchi, and M. Sarcheshmehpour, “On optimal proportions of structural member cross-sections to achieve best seismic performance using value based seismic design approach,” Eng. Struct., vol. 231, 2021, doi: 10.1016/j.engstruct.2020.111751.
[12]          A. Ghasemof, M. Mirtaheri, R. Karami Mohammadi, and M. R. Mashayekhi, “Multi-objective optimal design of steel MRF buildings based on life-cycle cost using a swift algorithm,” Structures, vol. 34, 2021, doi: 10.1016/j.istruc.2021.09.088.
[13]          Office of National Building Regulations, “Topic 6: Loads on Buildings”, Iran Development Publishing House, Housing and Construction Deputy, Ministry of Roads and Urban Development, Tehran, Iran, 2018. (In Persian).”
[14]          Office of National Building Regulations, “Topic 10: Design and Implementation of Steel Buildings”, Iran Development Publishing House, Housing and Construction Deputy, Ministry of Roads and Urban Development, Tehran, Iran, 2022. (in Persian).
[15]          Bureau of National Building Regulations, “Standard 2800: Design Code of Buildings Against Earthquake”, 4th Edition, Iran Development Publishing House, Ministry of Roads and Urban Development, Tehran, Iran, 2014. (in Persian).
[16]          Office of National Construction Regulations, “Topic 9: Design and Implementation of Reinforced Concrete Buildings”, Iran Development Publishing House, Housing and Construction, Ministry of Roads and Urban Development, Tehran, Iran, 2020. (In Persian).
Volume 14, Issue 3 - Serial Number 55
September 2023
Pages 83-90
  • Receive Date: 07 December 2022
  • Revise Date: 01 January 2023
  • Accept Date: 01 February 2023
  • Publish Date: 23 September 2023