Prediction of Flow Value of Bituminous hot Mixtures by Regression Models

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 w...

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Main Authors: Deniz ARSLAN, Hikmet BAYIRTEPE
Format: Article
Language:English
Published: Gazi University 2018-03-01
Series:Gazi Üniversitesi Fen Bilimleri Dergisi
Subjects:
Online Access:http://dergipark.gov.tr/download/article-file/414102
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author Deniz ARSLAN
Hikmet BAYIRTEPE
author_facet Deniz ARSLAN
Hikmet BAYIRTEPE
author_sort Deniz ARSLAN
collection DOAJ
description 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 %.
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spelling doaj.art-6f1f655e671a492ea61a71e8497653992023-02-15T16:20:58ZengGazi UniversityGazi Üniversitesi Fen Bilimleri Dergisi2147-95262018-03-0161455310.29109/http-gujsc-gazi-edu-tr.310405Prediction of Flow Value of Bituminous hot Mixtures by Regression ModelsDeniz ARSLANHikmet BAYIRTEPEIn 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 %.http://dergipark.gov.tr/download/article-file/414102Marshall flow valueRegression analysisCluster analysisPrincipal component analysisDiscriminant analysis
spellingShingle Deniz ARSLAN
Hikmet BAYIRTEPE
Prediction of Flow Value of Bituminous hot Mixtures by Regression Models
Gazi Üniversitesi Fen Bilimleri Dergisi
Marshall flow value
Regression analysis
Cluster analysis
Principal component analysis
Discriminant analysis
title Prediction of Flow Value of Bituminous hot Mixtures by Regression Models
title_full Prediction of Flow Value of Bituminous hot Mixtures by Regression Models
title_fullStr Prediction of Flow Value of Bituminous hot Mixtures by Regression Models
title_full_unstemmed Prediction of Flow Value of Bituminous hot Mixtures by Regression Models
title_short Prediction of Flow Value of Bituminous hot Mixtures by Regression Models
title_sort prediction of flow value of bituminous hot mixtures by regression models
topic Marshall flow value
Regression analysis
Cluster analysis
Principal component analysis
Discriminant analysis
url http://dergipark.gov.tr/download/article-file/414102
work_keys_str_mv AT denizarslan predictionofflowvalueofbituminoushotmixturesbyregressionmodels
AT hikmetbayirtepe predictionofflowvalueofbituminoushotmixturesbyregressionmodels