Application of elastic support assumption for accuracy improvement of crack detection in beams using firefly algorithm

Author(s):
Abstract:
In this study, elastic support assumption was used for crack detection in beams. At first, the model of beam was updated by assuming that boundary conditions of beam restrained by rotational and translational springs. Experimental modal data of intact beam are considered as input in this stage. An inverse problem was used to determine unknown values of support springs’. At the second stage, developed model for the beam at the first stage was then employed. Crack detection has been done using an inverse problem. Natural frequencies of cracked beam are considered as input in this stage while severity and location of crack are unknown. Inverse problems are solved by using firefly algorithm where this algorithm show suitable convergence rate. Efficiency of proposed method for single and multiple crack detection in beams using experimental data were compared with other studies. Results indicate that proposed method has better accuracy regarding crack severity and location detection.
Language:
Persian
Published:
Journal of Solid and Fluid Mechanics, Volume:5 Issue: 4, 2016
Pages:
105 to 115
magiran.com/p1595682  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!