가속도 응답 신호와 다층인공신경망을 통한 단순보의 손상추정

Damage Assessment of Simple Beam using Acceleration Response Signal and Multilayer Neural Network

The use of system identification approaches for damage detection has been expanded in recent years. Soft computing techniques such as neural networks have been utilized increasingly. Damage assessment using neural networks is presented in this study. Data set for training neural networks are acceleration response of simple beam under the various damage states ,which are the inputs. The outputs are the damage locations and extents. Not only the trained damages but also untrained damages are. detected accuratelyintheassessmentstage.