Prediction of vibration response based on BP artificial neural network for simply supported beam bridge structures
To address the problems of large workload,time-consuming calculation and inability to achieve rapid prediction of structural response in finite element models,a structural stress and displacement prediction model based on BP neural network algorithm for simply supported beam bridge was proposed.Taking a simply supported beam bridge as the engineering background,a three-dimensional finite element model of the beam system was established by using Midas/Civil finite element software.Taking into account parameter uncertainty,a comprehensive training and testing sample dataset was obtained by using the finite element model,and an artificial-neural-network-based bridge structure response prediction model was established.The research results show that the artificial neural network prediction model can achieve rapid prediction of structural response on the prerequisite of satisfying prediction accuracy.The maximum error between the measured value of load test and the predicted value by the model is within 12.46%,and the goodness of fit is above 0.9.This prediction model can be combined with the bridge health monitoring system in the later stage to achieve real-time analysis of the structural response of simply supported beam bridges,and can be applied to the structural response evaluation of simply supported beams.
simply supported beam bridgeartificial neural networkstructural responsefinite element modelstressstructural evaluation
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