دوره 2، شماره 4 - ( 7-1391 )                   جلد 2 شماره 4 صفحات 510-489 | برگشت به فهرست نسخه ها

XML English Abstract Print


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

Naseralavi S, Salajegheh E, Salajegheh J, Ziaee M. A TWO-STAGE METHOD FOR DAMAGE DETECTION OF LARGE-SCALE STRUCTURES. IJOCE 2012; 2 (4) :489-510
URL: http://ijoce.iust.ac.ir/article-1-109-fa.html
A TWO-STAGE METHOD FOR DAMAGE DETECTION OF LARGE-SCALE STRUCTURES. عنوان نشریه. 1391; 2 (4) :489-510

URL: http://ijoce.iust.ac.ir/article-1-109-fa.html


چکیده:   (22325 مشاهده)
A novel two-stage algorithm for detection of damages in large-scale structures under static loads is presented. The technique utilizes the vector of response change (VRC) and sensitivities of responses with respect to the elemental damage parameters (RSEs). It is shown that VRC approximately lies in the subspace spanned by RSEs corresponding to the damaged elements. The property is leveraged in the first stage of the proposed method by seeking RSEs whose spanned subspace best contains the VRC. Consequently, the corresponding elements are regarded as damage candidates. To alleviate the exploration among RSEs, they are first partitioned into several clusters. Subsequently, discrete ant colony optimization (ACO) is utilized to find the clusters containing the RSEs of damaged elements. In the second stage of the algorithm, damage amounts for the restricted elements are determined using a continuous version of ACO. Two numerical examples are studied. The results illustrate that the method is both robust and efficient for detection of damages in large-scale structures.
متن کامل [PDF 624 kb]   (7035 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: 1391/7/23 | انتشار: 1391/7/24

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