Dynamic Modulus Analysis of Resonance Rubblization Layer of Old Cement Concrete Slab based on BP Neural Network and Deep Learning Model
In order to study the bearing capacity of the rubble layer after the resonance crushing of the old cement concrete pavement slab under dynamic load and the dynamic modulus of the structural layer,firstly,the falling weight deflectometer(FWD)is used to detect and collect the road surface deflection basin after the resonance rubble paving asphalt concrete surface layer.Then,based on the deep learning model and the three-layer asphalt pavement structure modulus inverse calculation model obtained by BP neural network training,the modulus of each structural layer is calculated.On this basis,the dynamic finite element modeling is used to compare and analyze the calculated deflection basin of the road surface and the measured deflection basin of FWD.The research results indicate that the dynamic modulus backcalculation model developed based on BP neural network and deep learning model has high reliability and accuracy,and can backcalculate the dynamic modulus of each structural layer of the old cement concrete pavement slab resonant rubblization overlay asphalt pavement according to the surface deflection basin measured by FWD.The dynamic modulus of the resonant rubblized layer of the old cement concrete slab is much higher than that of the ordinary graded gravel structure layer,indicating that the resonant rubblized layer has excellent bearing capacity.
old cement concrete pavementresonance crushingmodulus backcalculationBP neural networkdeep learning models
NETL
NSTL
万方数据
