A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm
المؤلفون المشاركون
Razavi, Seyed Abdonnabi
Siahpolo, Navid
Mahdavi Adeli, Mehdi
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-04
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The most important feature of the behavior factor is that it allows the structural designer to be able to evaluate the structural seismic demand, using an elastic analysis, based on force-based principles quickly.
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 and accurate correlation is attempted to predict the behavior factor (q) of EBF steel frames, under near-fault earthquakes, using the genetic algorithm (GA).
For this purpose, a databank consisting of 12960 data is created.
To establish different geometrical properties of models, 3−, 6−, 9−, 12−, 15, and 20− story steel EBF frames were 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 were analyzed to reach 4 different performance levels.
6769 data were used as GA training data.
Moreover, to validate the correlation, 2257 data were used as test data for calculating mean squared error (MSE) and correlation coefficient (R) between the predicted values of (q) and the real values.
In addition, the MSE and R were calculated for correlation in the train and test data.
Also, the comparison of the response of maximum inelastic displacement of 5 stories EBF from the proposed correlation and the mean inelastic time-history analysis confirms the accuracy of the estimate relationship.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Razavi, Seyed Abdonnabi& Siahpolo, Navid& Mahdavi Adeli, Mehdi. 2020. A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm. Journal of Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1183693
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Razavi, Seyed Abdonnabi…[et al.]. A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm. Journal of Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1183693
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Razavi, Seyed Abdonnabi& Siahpolo, Navid& Mahdavi Adeli, Mehdi. A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm. Journal of Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1183693
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1183693
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر