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Prediction Model for Fatigue Stiffness Decay of Concrete Beam Based on Neural Network
作者姓名:王海超  何世钦  贡金鑫
作者单位:[1]CollegeofCivilEngineeringandArchitecture,ShandongUniversityofScienceandTechnology,Tai‘an,Sandong271019,China [2]StateKeyLaboratoryofCoastalandOffshoreEngineering,DalianUniversityofTechnology,Dalian,Liaoning116023,China
基金项目:Supported by Visiting Scholar Foundaion of Key Lab. in University and National Natural Science Foundation of China(5 0 0 780 0 9)
摘    要:With the method of neural network, the processes of fatigue stiffness decreasing and deflection increasing of reinforced concrete beams under cyclic loading were simulated. The simulating system was built with the given experimental data. The prediction model of neural network structure and the corresponding parameters were obtained. The precision and results were satisfied and could be used to investigate the fatigue properties of reinforced concrete beams in complex environment and under repeating loads.

关 键 词:预测模型  钢筋混凝土梁  神经网络  疲劳刚度  平断面假设  循环荷载  破坏累积

Prediction Model for Fatigue Stiffness Decay of Concrete Beam Based on Neural Network
WANG Hai-chao HE Shi-qin GONG Jin-xin.Prediction Model for Fatigue Stiffness Decay of Concrete Beam Based on Neural Network[J].Journal of China University of Mining and Technology,2003,13(1):40-42.
Authors:WANG Hai-chao HE Shi-qin GONG Jin-xin
Abstract:With the method of neural network, the processes of fatigue stiffness decreasing and deflection increasing of reinforced concrete beams under cyclic loading were simulated. The simulating system was built with the given experimental data. The prediction model of neural network structure and the corresponding parameters were obtained. The precision and results were satisfied and could be used to investigate the fatigue properties of reinforced concrete beams in complex environment and under repeating loads.
Keywords:neural network  fatigue stiffness  damage cumulation  plane section assumption
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