دوره 11، شماره 4 - ( 8-1400 )                   جلد 11 شماره 4 صفحات 597-581 | برگشت به فهرست نسخه ها

XML English Abstract Print


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

Zakian P. DESIGN OPTIMIZATION OF MOMENT FRAME STRUCTURES BASED ON NATURAL FREQUENCY CONSTRAINTS USING THE ADAPTIVE CHARGED SYSTEM SEARCH ALGORITHM. International Journal of Optimization in Civil Engineering 2021; 11 (4) :581-597
URL: http://ijoce.iust.ac.ir/article-1-495-fa.html
DESIGN OPTIMIZATION OF MOMENT FRAME STRUCTURES BASED ON NATURAL FREQUENCY CONSTRAINTS USING THE ADAPTIVE CHARGED SYSTEM SEARCH ALGORITHM. عنوان نشریه. 1400; 11 (4) :581-597

URL: http://ijoce.iust.ac.ir/article-1-495-fa.html


چکیده:   (8079 مشاهده)
Natural frequencies of a structure give useful information about the structural response to dynamic loading. These frequencies should be far enough from the critical frequency range of dynamic excitations like earthquakes in order to prevent the resonance phenomenon sufficiently. Although there are many investigations on optimization of truss structures subjected to frequency constraints, just a few studies have been considered for optimal design of frame structures under these constraints. In this paper, a recently proposed metaheuristic algorithm called Adaptive Charged System Search (ACSS) is applied to optimal design of steel frame structures considering the frequency constraints. Benchmark design examples are solved with the ACSS, and optimization results are illustrated in terms of some statistical indices, convergence history and solution quality. The design examples include three planar steel frames with small to large number of design variables. Results show that the ACSS outperforms the charged system search algorithm in this sizing optimization problem.
متن کامل [PDF 626 kb]   (2579 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: 1400/8/26 | پذیرش: 1400/8/28 | انتشار: 1400/8/28

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