Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis
<p>The modification by polymers and nanomaterials can significantly improve different properties of asphalt. However, during the service life, the oxidation affects the constituents of modified asphalt and subsequently results in deviation from the desired properties. One of the important prop...
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| منشور في: |
2019
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| _version_ | 1864513563236761600 |
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| author | Md Arifuzzaman (11471123) |
| author2 | Uneb Gazder (13025406) Md Shah Alam (4806219) Okan Sirin (14603304) Abdullah Al Mamun (14152077) |
| author2_role | author author author author |
| author_facet | Md Arifuzzaman (11471123) Uneb Gazder (13025406) Md Shah Alam (4806219) Okan Sirin (14603304) Abdullah Al Mamun (14152077) |
| author_role | author |
| dc.creator.none.fl_str_mv | Md Arifuzzaman (11471123) Uneb Gazder (13025406) Md Shah Alam (4806219) Okan Sirin (14603304) Abdullah Al Mamun (14152077) |
| dc.date.none.fl_str_mv | 2019-08-15T21:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1155/2019/3183050 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Modelling_of_Asphalt_s_Adhesive_Behaviour_Using_Classification_and_Regression_Tree_CART_Analysis/22082777 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Mathematical sciences Pure mathematics General Mathematics General Medicine General Neuroscience General Computer Science |
| dc.title.none.fl_str_mv | Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>The modification by polymers and nanomaterials can significantly improve different properties of asphalt. However, during the service life, the oxidation affects the constituents of modified asphalt and subsequently results in deviation from the desired properties. One of the important properties affected due to oxidation is the adhesive properties of modified asphalt. In this study, the adhesive properties of asphalt modified with the polymers (styrene-butadiene-styrene and styrene-butadiene) and carbon nanotubes were investigated. Asphalt samples were aged in the laboratory by simulating the field conditions, and then adhesive properties were evaluated by different tips of atomic force microscopy (AFM) following the existing functional group in asphalt. Finally, a predictive modelling and machine learning technique called the classification and regression tree (CART) was used to predict the adhesive properties of modified asphalt subjected to oxidation. The parameters that affect the behaviour of asphalt have been used to predict the results using the CART. The results obtained from CART analysis were also compared with those from the regression model. It was observed that the CART analysis shows more explanatory relationships between different variables. The model can predict accurately the adhesive properties of modified asphalts considering the real field oxidation and chemistry of asphalt at a nanoscale. </p> <h2>Other information</h2> <p>Published in: Computational Intelligence and Neuroscience<br> License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br> See article on publisher's website: <a href="http://dx.doi.org/10.1155/2019/3183050" target="_blank">http://dx.doi.org/10.1155/2019/3183050</a> </p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_2bf7232e5069510508b0f558a91495dc |
| identifier_str_mv | 10.1155/2019/3183050 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/22082777 |
| publishDate | 2019 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) AnalysisMd Arifuzzaman (11471123)Uneb Gazder (13025406)Md Shah Alam (4806219)Okan Sirin (14603304)Abdullah Al Mamun (14152077)Mathematical sciencesPure mathematicsGeneral MathematicsGeneral MedicineGeneral NeuroscienceGeneral Computer Science<p>The modification by polymers and nanomaterials can significantly improve different properties of asphalt. However, during the service life, the oxidation affects the constituents of modified asphalt and subsequently results in deviation from the desired properties. One of the important properties affected due to oxidation is the adhesive properties of modified asphalt. In this study, the adhesive properties of asphalt modified with the polymers (styrene-butadiene-styrene and styrene-butadiene) and carbon nanotubes were investigated. Asphalt samples were aged in the laboratory by simulating the field conditions, and then adhesive properties were evaluated by different tips of atomic force microscopy (AFM) following the existing functional group in asphalt. Finally, a predictive modelling and machine learning technique called the classification and regression tree (CART) was used to predict the adhesive properties of modified asphalt subjected to oxidation. The parameters that affect the behaviour of asphalt have been used to predict the results using the CART. The results obtained from CART analysis were also compared with those from the regression model. It was observed that the CART analysis shows more explanatory relationships between different variables. The model can predict accurately the adhesive properties of modified asphalts considering the real field oxidation and chemistry of asphalt at a nanoscale. </p> <h2>Other information</h2> <p>Published in: Computational Intelligence and Neuroscience<br> License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br> See article on publisher's website: <a href="http://dx.doi.org/10.1155/2019/3183050" target="_blank">http://dx.doi.org/10.1155/2019/3183050</a> </p>2019-08-15T21:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1155/2019/3183050https://figshare.com/articles/journal_contribution/Modelling_of_Asphalt_s_Adhesive_Behaviour_Using_Classification_and_Regression_Tree_CART_Analysis/22082777CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/220827772019-08-15T21:00:00Z |
| spellingShingle | Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis Md Arifuzzaman (11471123) Mathematical sciences Pure mathematics General Mathematics General Medicine General Neuroscience General Computer Science |
| status_str | publishedVersion |
| title | Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis |
| title_full | Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis |
| title_fullStr | Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis |
| title_full_unstemmed | Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis |
| title_short | Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis |
| title_sort | Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis |
| topic | Mathematical sciences Pure mathematics General Mathematics General Medicine General Neuroscience General Computer Science |