Application of Artificial Intelligence in the Optimal Seismic Design of Steel Structures Based on the Iran Mabhas-10 Regulations
Journal Title: Passive Defense - Year 2023, Vol 14, Issue 3
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.
Authors and Affiliations
Majid Kiani, Avash Rahgozaar
Keywords
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