Neural Networks technology provides several reliant analysis in many science and technology applications. In particular neural network is often applied to the development of statistical models for intrinsically non-linear systems, since neural networks behave better in complex conditions. In this research, applications of neural networks in determination of optimum bitumen content, Marshall Sta...

This study presents an application of neural networks (NN) for the prediction of Marshall test results for polypropylene (PP) modified asphalt mixtures. PP fibers are used to modify the bituminous binder in order to improve the physical and mechanical properties of the resulting asphaltic mixture. Marshall stability and flow tests were carried out on specimens fabricated with different type of ...

The influence of three material factors, namely asphalt-aggregate ratio, fiber-aggregate ratio and mineral filler–aggregate ratio (filler–aggregate ratio) on Marshall indexes of the lignin fiber SMA mixture are investigated in this study. To achieve this goal, orthogonal experiment design and implementation of Marshall stability test, residential stability test and rutting test were used to ana...

The feasibility of using large rubber chunks from shredded tires as aggregates in coldmixes for road construction was investigated in this study. The research was directed toward development of a chunk rubber asphalt concrete mix design for low volume road construction using local aggregate, shredded tire rubber chunks and a cationic emulsion. A set of mixes using different combinations of chun...

polymer application for the improvement and modification of the bitumen used in roads surfaces has expanded in recent decades. the roads engineers and constructors, therefore, have used the modified bitumen in asphalts helping in this way to increase roads and pavements service life and improving the durability of the roads and asphalts. the bitumen used in asphalt mixture constitutes only a lo...

Waste fibers produced from manufacturing processes are a byproduct commonly deposited in storing yards and/or landfills and thus results in many serious environmental problems in Iran. If these waste materials could be advantageously put to practical use in any application, it would reduce the burden on the environment and landfills. This paper compares the performance of the stone matrix aspha...

In recent decades, porous asphalt has been extended for surface drainage in various regions throughout the world. The permeability of porous asphalt has an important role in the performance of asphalt pavements in the rainy weather. The most remarkable problem related to the porous asphalt is its short service time. Considerable efforts have been made to enhance the mechanical properties of por...

The conventional method for determining the Marshall Stability (MS) and Flow (MF) of asphalt pavements entails laborious, time-consuming, expensive laboratory procedures. In order to develop new advanced prediction models MS MF current study applied three soft computing techniques: Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), Multi Expression Programming (MEP)...

This study was intended to determine the characteristics of Stone Matrix Asphalt (SMA) using Tandung river stone, North Toraja Regency with added sugarcane fiber waste levels 0%, 1%, 2%, 3% and 4%. The methodology this research is test coarse, fine, filler aggregates then design composition mixture addition also conventional Marshall testing Immersion obtain residual stability values. results i...