Prediction of Flow Value of Bituminous hot Mixtures by Regression Models

Abstract

In this study, flow value of the bituminous hot mixtures that can be determined by Marshall Test has been aimed to be predicted by regression models based on material and mixture properties. In this context, data on bituminous hot mix applications for the manufacturing of wearing and binder layers within the borders of Ankara Metropolitan Municipality have been compiled and a data group containing 4680 observations has been created on the application basis. Regression, principal component, clustering and discriminant analyses have been applied on the data group. The clustering analysis shows that the data group can be divided into 4 main clusters. With the stepwise regression analyses carried out on the determined clusters and their various combinations, the regression coefficient of models, which are developed to predict the flow variable, has reached to 73.9 %.

Authors and Affiliations

Deniz ARSLAN, Hikmet BAYIRTEPE

Keywords

Related Articles

Control And Monitoring Of Controller Area Network Based Motor And Sensor Boards

Remote control system also can use to provide the control of devices that are used in industrial environments nowadays. In this study, three experimental modules and one master module have been developed by using Arduino...

A Performance Comparison of Conventional and Transverse Flux Rotating Switched Reluctance Motors

High power and torque densities have been claimed for transverse flux structures over the conventional (radial flux) switched reluctance machine (CSRM) structures in recent publications. A comprehensive comparison betwee...

Production Methods for Nano Materials

This paper presents the review of manufacturing processes for nanoparticle and nanowires as well as general manufacturing approaches for nanomaterials. It defines nanotechnology and nanomaterials, and gives information a...

A Novel Design Process Model for Manufacturing Based on Reverse Engineering

Engineering can be classified into two groups as forward engineering (FE) and reverse engineering (RE). Forward engineering method progress from the definition of the problem to evaluation, test, and optimization of the...

The Synthesis and Characterization of Calcium Carbonate in the Presence of Polyelectrolyte and Experimental Design

In this study, calcium carbonate (CaCO3) was synthesized by means of ultrasonic irradiation process in the presence of the water-soluble polyelectrolyte Poly(Vinyl Sulfonic Acid) (PVS). Synthesized CaCO3 crystals were ch...

Download PDF file
  • EP ID EP489619
  • DOI 10.29109/http-gujsc-gazi-edu-tr.310405
  • Views 100
  • Downloads 0

How To Cite

Deniz ARSLAN, Hikmet BAYIRTEPE (2018). Prediction of Flow Value of Bituminous hot Mixtures by Regression Models. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 6(1), 45-53. https://europub.co.uk/articles/-A-489619