چکیده مقاله
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
کلیدواژهها
نویسندگان
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
عیسی سلاجقه
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
شیوه ارجاع
Rasouli, Omid and Mousavi, Shahram and Salajegheh, Eysa and Naseralavi, Seyed Sadegh,1394,Damage Identification of Cracked Plates Using Neural Networks,10th International Congress on Civil Engineering,Tabriz
ارائهشده در
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