دوره 4، شماره 1 - ( 12-1392 )                   جلد 4 شماره 1 صفحات 39-27 | برگشت به فهرست نسخه ها

XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Jin J, Li L, He J. INVESTIGATION OF SEISMIC PERFORMANCE OF STEEL FRAMES BASED ON A QUICK GROUP SEARCH OPTIMIZER. IJOCE 2014; 4 (1) :27-39
URL: http://ijoce.iust.ac.ir/article-1-160-fa.html
INVESTIGATION OF SEISMIC PERFORMANCE OF STEEL FRAMES BASED ON A QUICK GROUP SEARCH OPTIMIZER. عنوان نشریه. 1392; 4 (1) :27-39

URL: http://ijoce.iust.ac.ir/article-1-160-fa.html


چکیده:   (20841 مشاهده)
A quick group search optimizer (QGSO) is an intelligent optimization algorithm which has been applied in structural optimal design, including the hinged spatial structural system. The accuracy and convergence rate of QGSO are feasible to deal with a spatial structural system. In this paper, the QGSO algorithm optimization is adopted in seismic research of steel frames with semi-rigid connections which more accurately reflect the practical situation. The QGSO is combined with the constraint from the penalty coefficients and dynamic time-history analysis. The performance of the QGSO on seismic design has been tested on a two-bay five-layer steel frame in this paper. The result shows that, compared with the PSO algorithm, the QGSO algorithm has better performance in terms of convergence rate and the ability to escape from local optimums. Moreover, it is feasible and effective to apply the QGSO to the seismic optimal design of steel framework.
متن کامل [PDF 555 kb]   (5975 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: 1393/1/14 | پذیرش: 1393/1/14 | انتشار: 1393/1/14

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به دانشگاه علم و صنعت ایران می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb