Modelling of Tensile Strength Ratio of Bituminous Concrete Mixes Using Support Vector Machines and M5 Model Tree.
Saved in:
| Title: | Modelling of Tensile Strength Ratio of Bituminous Concrete Mixes Using Support Vector Machines and M5 Model Tree. |
|---|---|
| Authors: | Goel, Gourav1 gouravgoelshinu@gmail.com, Sachdeva, S. N.1, Pal, Mahesh1 |
| Source: | International Journal of Pavement Research & Technology. Jan2022, Vol. 15 Issue 1, p86-97. 12p. |
| Subjects: | Support vector machines, Tensile strength, Concrete mixing, Bituminous pavements, Bituminous materials, Radial basis functions, Pavement management |
| Abstract: | Bituminous pavements are greatly vulnerable to moisture damage. Most of the studies all over the world conclude that presence of moisture on road surface contributes significantly to pavement failures. Sustainable bituminous pavement needs high quality bitumen material. In roadway design, the tensile strength of bituminous pavements is an important engineering property. Indirect tensile strength (ITS) tests are performed on bituminous mixes for evaluating tensile strength ratio (TSR). Knowledge of TSR is helpful in determining the moisture susceptibility of bituminous concrete (BC) mixes for highway pavements. In the past different modelling techniques were developed to predict the TSR of bituminous mixes. In this study, support vector machines (SVM), M5 model tree and regression-based technique were used to estimate the TSR value of BC mixes. Two kernel functions, i.e. polynomial and radial-based kernel function were used with SVM model. Cross validation technique with 10-fold analysis was used for testing the models. SVM model with radial basis function (RBF) outclasses M5P model all in terms of correlation coefficient and R2 values. This paper proposes a simple linear equation for the prediction of the TSR, which is based on ITS tests performed on different types of bituminous mixes. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Pavement Research & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 154469739 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Modelling of Tensile Strength Ratio of Bituminous Concrete Mixes Using Support Vector Machines and M5 Model Tree. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Goel%2C+Gourav%22">Goel, Gourav</searchLink><relatesTo>1</relatesTo><i> gouravgoelshinu@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sachdeva%2C+S%2E+N%2E%22">Sachdeva, S. N.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pal%2C+Mahesh%22">Pal, Mahesh</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Pavement+Research+%26+Technology%22">International Journal of Pavement Research & Technology</searchLink>. Jan2022, Vol. 15 Issue 1, p86-97. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Support+vector+machines%22">Support vector machines</searchLink><br /><searchLink fieldCode="DE" term="%22Tensile+strength%22">Tensile strength</searchLink><br /><searchLink fieldCode="DE" term="%22Concrete+mixing%22">Concrete mixing</searchLink><br /><searchLink fieldCode="DE" term="%22Bituminous+pavements%22">Bituminous pavements</searchLink><br /><searchLink fieldCode="DE" term="%22Bituminous+materials%22">Bituminous materials</searchLink><br /><searchLink fieldCode="DE" term="%22Radial+basis+functions%22">Radial basis functions</searchLink><br /><searchLink fieldCode="DE" term="%22Pavement+management%22">Pavement management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Bituminous pavements are greatly vulnerable to moisture damage. Most of the studies all over the world conclude that presence of moisture on road surface contributes significantly to pavement failures. Sustainable bituminous pavement needs high quality bitumen material. In roadway design, the tensile strength of bituminous pavements is an important engineering property. Indirect tensile strength (ITS) tests are performed on bituminous mixes for evaluating tensile strength ratio (TSR). Knowledge of TSR is helpful in determining the moisture susceptibility of bituminous concrete (BC) mixes for highway pavements. In the past different modelling techniques were developed to predict the TSR of bituminous mixes. In this study, support vector machines (SVM), M5 model tree and regression-based technique were used to estimate the TSR value of BC mixes. Two kernel functions, i.e. polynomial and radial-based kernel function were used with SVM model. Cross validation technique with 10-fold analysis was used for testing the models. SVM model with radial basis function (RBF) outclasses M5P model all in terms of correlation coefficient and R2 values. This paper proposes a simple linear equation for the prediction of the TSR, which is based on ITS tests performed on different types of bituminous mixes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Pavement Research & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=154469739 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s42947-021-00013-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 86 Subjects: – SubjectFull: Support vector machines Type: general – SubjectFull: Tensile strength Type: general – SubjectFull: Concrete mixing Type: general – SubjectFull: Bituminous pavements Type: general – SubjectFull: Bituminous materials Type: general – SubjectFull: Radial basis functions Type: general – SubjectFull: Pavement management Type: general Titles: – TitleFull: Modelling of Tensile Strength Ratio of Bituminous Concrete Mixes Using Support Vector Machines and M5 Model Tree. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Goel, Gourav – PersonEntity: Name: NameFull: Sachdeva, S. N. – PersonEntity: Name: NameFull: Pal, Mahesh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 19971400 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Pavement Research & Technology Type: main |
| ResultId | 1 |
