دوره 13، شماره 3 - ( 5-1402 )                   جلد 13 شماره 3 صفحات 390-379 | برگشت به فهرست نسخه ها

XML English Abstract Print


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

Sedaghat Shayegan D, Amirkardoust A. SCALING EARTHQUAKE GROUND MOTIONS USING MOUTH BROODING FISH ALGORITHM. International Journal of Optimization in Civil Engineering 2023; 13 (3) :379-390
URL: http://ijoce.iust.ac.ir/article-1-562-fa.html
SCALING EARTHQUAKE GROUND MOTIONS USING MOUTH BROODING FISH ALGORITHM. عنوان نشریه. 1402; 13 (3) :379-390

URL: http://ijoce.iust.ac.ir/article-1-562-fa.html


چکیده:   (4022 مشاهده)
In this article, spectral matching of ground motions is presented via the Mouth Brooding Fish (MBF) algorithm that is recently developed. It is based on mouth brooding fish life cycle. This algorithm utilizes the movements of the mouth brooding fish and their children’s struggle for survival as a pattern to find the best possible answer. For this purpose, wavelet transform is used to decompose the original ground motions to several levels and then each level is multiplied by a variable. Subsequently, this algorithm is employed to determine the variables and wavelet transform modifies the recorded accelerograms until the response spectrum gets close to a specified design spectrum. The performance of this algorithm is investigated through a numerical example and also it is compared with CBO and ECBO algorithms. The numerical results indicate that the MBF algorithm can to construct very promising results and has merits in solving challenging optimization problems.
 
متن کامل [PDF 832 kb]   (1892 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Applications
دریافت: 1402/2/10 | پذیرش: 1402/4/28 | انتشار: 1402/4/28

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