Quasi-static analysis of flexible pavements based on predicted frequencies using Fast Fourier Transform and Artificial Neural Network

被引：0

作者：

Ghanizadeh A.R. ^{[1
]}

Fakhri M. ^{[2
]}

机构：

[1] Department of Civil Engineering, Sirjan University of Technology, Sirjan

[2] Department of Civil Engineering, K. N. Toosi University of Technology, Tehran

来源：

International Journal of Pavement Research and Technology | 2018年 / 11卷 / 01期

关键词：

Artificial Neural Network (ANN); Dynamic modulus; Equivalent frequency; Fast Fourier Transform (FFT); Pavement quasi-static analysis;

D O I：

10.1016/j.ijprt.2017.09.002

中图分类号：

学科分类号：

摘要：

New trend in design of flexible pavements is mechanistic-empirical approach. The first step for applying this method is analyzing the pavement structure for several times and computation of critical stresses and strains, which needs a fast analysis method with good accuracy. This paper aims to introduce a new rapid pavement analysis approach, which can consider the history of loading and rate effect. To this end, 1200 flexible pavement sections were analyzed, and equivalent frequencies (EF) were calculated using Fast Fourier Transform (FFT) method at various depths of asphalt layer. A nonlinear regression equation has been presented for determining EF at different depths of asphalt layer. For more accurate predicting of EF at low frequencies, a feed-forward Artificial Neural Network (ANN) was employed, which allows accurate prediction of EF. The frequencies obtained by the proposed regression equation and ANN were compared with frequencies observed in Virginia Smart Road project, and it was found that there is a good agreement between observed and predicted frequencies. Comparison of quasi-static analysis of flexible pavements by frequencies obtained using FFT method and full dynamic analysis by 3D-Move program approves that the critical responses of pavement computed by proposed quasi-static analysis approach are comparable to critical responses computed using full dynamic analysis. © 2017 Chinese Society of Pavement Engineering

引用

页码：47 / 57

页数：10

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