in this study, an artificial neural network was developed in order to analyze flexible pavement structure anddetermine its critical responses under the influence of standard axle loading. in doing so, more than 10000four-layered flexible pavement sections composed of asphalt concrete layer, base layer, subbase layer, andsubgrade soil were analyzed under the impact of standard axle loading. pave...

this paper aims to assess the application of support vector machine (svm) regression in order to analysis flexible pavements. to this end, 10000 four-layer flexible pavement sections consisted of asphalt concrete layer, granular base layer, granular subbase layer, and subgrade soil were analyzed under the effect of standard axle loading using multi-layered elastic theory and pavement critical r...

This paper aims to assess the application of Support Vector Machine (SVM) regression in order to analysis flexible pavements. To this end, 10000 Four-layer flexible pavement sections consisted of asphalt concrete layer, granular base layer, granular subbase layer, and subgrade soil were analyzed under the effect of standard axle loading using multi-layered elastic theory and pavement critical r...

In this study, an artificial neural network was developed in order to analyze flexible pavement structure and determine its critical responses under the influence of standard axle loading. In doing so, more than 10000 four-layered flexible pavement sections composed of asphalt concrete layer, base layer, subbase layer, and subgrade soil were analyzed under the impact of standard axle loading. P...

This paper proposes the use of neural network(NN-) based pavement structural analysis tools as surrogates for the flexible pavement response analysis in the new mechanistic empirical pavement design guide (MEPDG) developed for the American State Highway and Transportation Officials (AASHTO). Some of the recent successful applications of NN-based structural analysis models for predicting critica...

A critical issue concerning the deterioration of ageing road infrastructure all around the world is the need to rapidly and cost-effectively evaluate the present condition of pavement infrastructure. Non-Destructive Test (NDT) and evaluation methods are well-suited for characterizing materials and determining structural integrity of pavement systems. The Falling Weight Deflectometer (FWD) is a ...

The primary objective of this study was to assess the pavement structural deterioration based on Non-Destructive Test (NDT) data using an Artificial Neural Networks (ANN) based approach. ANN-based prediction models were developed for rapid determination of flexible airfield pavement layer stiffnesses from actual NDT deflection data collected in the field in real time. For training the ANN model...

Pavement deflection data are often used to evaluate a pavement’s structural condition non-destructively. It is essential not only to evaluate the structural integrity of an existing pavement but also to have accurate information on pavement surface condition in order to establish a reasonable pavement rehabilitation design system. Pavement layers are characterized by their elastic moduli estima...

It is the purpose of this paper to point out the problems associated with flexible pavements, to summarize the research that the Joint High­ way Research Project has done in this field, and to outline present endeavors. In so doing, it must be recognized, first of all that flexiblepavement research, or the general problem of flexible-pavement design, consists of two parts. One of these is the m...

Hot-mix asphalt (HMA) plays a vital role in the U.S. transportation system, and will continue to do so into the new millennium. Thus it is important to examine both the state of the art of and future prospects for HMA in a number of key areas, including the role of the user agency or owner, materials, processing, transportation, lay-down procedures, testing for quality and performance, work zon...