Research on the theory of intelligent damage recognition of spatial structure based on machine learning
In order to solve the problem that it is hard to solve the nonlinear mapping relationship between the dynamic fingerprint and the damage situation in the damage localization of the large-span space grid,an improved spatial structure damage identification method based on radial basis function(RBF)neural network is verified based on the actual engineering model,which first establishes the mapping between the initial damage case and the dynamic fingerprint data.By comparing the damage index identification of the corresponding rods under the measured data under the verified working conditions before and after the improvement,it is found that this method can improve about 10%accuracy of the damage prediction results of the grid members,so as to solve the problem of damage localization of large-span spatial structures faster and more accurately.
machine learningspace gridnonlinearityradial basis function neural networkweightlocalization of injuryrecognition accuracymodal response
万方数据
维普
