A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Permanent Deformation Process of Asphalt Concrete Pavement Based on Neural Network Modeling
This paper numerically simulates the deflection response of layers on the cross section of a medium-strength subgrade (MFC) flexible pavement under repeating load, by a radial basic function (RBF) neural network model. The RBF modeling focuses on the functional relationship between the local points in the top deflection curves of pavement layers. The input and output data of the RBF model utilizes the last deflection profiles on the tops of four layers in the test. The deflection curve of the pavement surface is set as the input data since its developing process can been watched and measured in the test. The deflection curves of the other three layers are as the output data, because their deflection process was invisible in the test. Thus, the deflection process of the pavement layers invisible in the test can be simulated by the trained RBF neural network model, which results in a further analysis based on the obtained simulation data.
Permanent Deformation Process of Asphalt Concrete Pavement Based on Neural Network Modeling
This paper numerically simulates the deflection response of layers on the cross section of a medium-strength subgrade (MFC) flexible pavement under repeating load, by a radial basic function (RBF) neural network model. The RBF modeling focuses on the functional relationship between the local points in the top deflection curves of pavement layers. The input and output data of the RBF model utilizes the last deflection profiles on the tops of four layers in the test. The deflection curve of the pavement surface is set as the input data since its developing process can been watched and measured in the test. The deflection curves of the other three layers are as the output data, because their deflection process was invisible in the test. Thus, the deflection process of the pavement layers invisible in the test can be simulated by the trained RBF neural network model, which results in a further analysis based on the obtained simulation data.
Permanent Deformation Process of Asphalt Concrete Pavement Based on Neural Network Modeling
Applied Mechanics and Materials ; 341-342 ; 1486-1490
2013-07-31
5 pages
Article (Journal)
Electronic Resource
English
Permanent Deformation in Asphalt Concrete
| British Library Online Contents | 1993
Permanent Deformation in Asphalt Concrete.
| Online Contents | 1993
Effective Temperature for Predicting Permanent Deformation of Asphalt Pavement
| Online Contents | 2017