اخبار و اعلانات

 آمار

تعداد نشریات418
تعداد شماره‌ها10,005
تعداد مقالات83,623
تعداد مشاهده مقاله78,424,580
تعداد دریافت فایل اصل مقاله55,450,079
Razavi, Seyed Abdonnabi, Siahpolo, Navid. (1401). A New Optimal Correlation for Behavior factor of EBFs under Near-fault Earthquakes using Artificial Intelligence Models. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 12(2), 631-645. doi: 10.1007/ijase.2022.698628
Seyed Abdonnabi Razavi; Navid Siahpolo. "A New Optimal Correlation for Behavior factor of EBFs under Near-fault Earthquakes using Artificial Intelligence Models". نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 12, 2, 1401, 631-645. doi: 10.1007/ijase.2022.698628
Razavi, Seyed Abdonnabi, Siahpolo, Navid. (1401). 'A New Optimal Correlation for Behavior factor of EBFs under Near-fault Earthquakes using Artificial Intelligence Models', نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 12(2), pp. 631-645. doi: 10.1007/ijase.2022.698628
Razavi, Seyed Abdonnabi, Siahpolo, Navid. A New Optimal Correlation for Behavior factor of EBFs under Near-fault Earthquakes using Artificial Intelligence Models. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 1401; 12(2): 631-645. doi: 10.1007/ijase.2022.698628

A New Optimal Correlation for Behavior factor of EBFs under Near-fault Earthquakes using Artificial Intelligence Models

International Journal of Advanced Structural Engineering
دوره 12، شماره 2، شهریور 2022، صفحه 631-645    اصل مقاله (1.02 M)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.1007/ijase.2022.698628
نویسندگان
Seyed Abdonnabi Razavi* 1؛ Navid Siahpolo2
1Department of Civil Engineering, Abadan Branch, Islamic Azad University, Abadan, Iran
2Department of Civil Engineering, Institute for Higher Education ACECR, Khouzestan, Iran
چکیده
Behavior factor of the structures is a coefficient that includes the inelastic performance of the structure and indicates the hidden resistance of the structure in the inelastic stage. In most seismic codes, this coefficient is merely dependent on the type of lateral resistance system and is introduced with a fixed number. However, there is a relationship between the behavior factor, ductility (performance level), structural geometric properties, and type of earthquake (near and far). In this paper, a new optimal correlation is attempted to predict the behavior factor (q) of EBF steel frames, under near-fault earthquakes, using Particle Swarm Optimization (PSO) and Simulated Annealing (SA) algorithms. For this purpose, a databank consists of 12960 data created. To establishing different geometrical properties of models, 3-,6-, 9-, 12-, 15, 20- stories steel EBF frames considered with 3 different types of link beam, 3 different types of column stiffness and 3 different types of brace slenderness. Using nonlinear time history under 20 near-fault earthquake, all models analyzed to reach 4 different performance level. data were used as training data of the Artificial Intelligence Models. Results shows the high accuracy of proposed correlation, established by PSO algorithm. The results of the correlation between the studied algorithms show more accuracy in the relations produced than the previous algorithms and confirm the significance of the governing relations.
کلیدواژه‌ها
Artificial Intelligence Models؛ Particle Swarm Optimization (PSO)؛ Simulated Annealing (SA)؛ Behavior factor؛ Performance levels
آمار
تعداد مشاهده مقاله: 39
تعداد دریافت فایل اصل مقاله: 91


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب