Damage Identification of Cracked Plates Using Neural Networks
عنوان مقاله: Damage Identification of Cracked Plates Using Neural Networks
شناسه ملی مقاله: ICCE10_0492
منتشر شده در دهمین کنگره بین المللی مهندسی عمران در سال 1394
شناسه ملی مقاله: ICCE10_0492
منتشر شده در دهمین کنگره بین المللی مهندسی عمران در سال 1394
مشخصات نویسندگان مقاله:
Omid Rasouli - Young Reseachers and Elite Club, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran
Shahram Mousavi - Young Reseachers and Elite Club, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran
Eysa Salajegheh - Professor, Department of Civil Engineering, University of Kerman, Kerman, Iran
Seyed Sadegh Naseralavi - Assistant Professor, Department of Civil Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
خلاصه مقاله:
Omid Rasouli - Young Reseachers and Elite Club, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran
Shahram Mousavi - Young Reseachers and Elite Club, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran
Eysa Salajegheh - Professor, Department of Civil Engineering, University of Kerman, Kerman, Iran
Seyed Sadegh Naseralavi - Assistant Professor, Department of Civil Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
Damage identification is a branch of structural health monitoring methodologies. In this paper a method for damage identification in plates employing neural networks is presented. In order to evaluate the proposed method, a plate is modeled by a finite element program and then changes in the responses are analyzed using MATLAB neural networks toolbox. Also Radial Basis Function networks and back propagation networks have been studied in terms of speed and accuracy. Numerical results demonstrate the efficiency of the proposed method for correct damage identification in plates
کلمات کلیدی: damage detection, mode shape, cracked plate, neural networks
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/364200/