Evaluating the Effect of Base Course Material Modification on Pavement Performance
In pavement construction, the mechanical properties of pavement layers have been a crucial concern. Additions such as lime, organic polymer, and sodium chloride have been used as modifier for enhancing the California Bearing Ratio (CBR) value of the natural dolomite soil. This paper proposed regress...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Arabic |
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Faculty of engineering, Tanta University
2023-03-01
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| Series: | Journal of Engineering Research - Egypt |
| Subjects: | |
| Online Access: | https://erjeng.journals.ekb.eg/article_279654_041769ec9c607dcf8700be9feef76a31.pdf |
| _version_ | 1797799152153788416 |
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| author | Ahmed Elkafoury Mohamed Ragab Islam aboelnaga |
| author_facet | Ahmed Elkafoury Mohamed Ragab Islam aboelnaga |
| author_sort | Ahmed Elkafoury |
| collection | DOAJ |
| description | In pavement construction, the mechanical properties of pavement layers have been a crucial concern. Additions such as lime, organic polymer, and sodium chloride have been used as modifier for enhancing the California Bearing Ratio (CBR) value of the natural dolomite soil. This paper proposed regression models relating the CBR values and percentages increase of CBR to dosages of the used additives. Furthermore, the paper tested the performance of the Generalized Concentration Addition (GCA) analytical modelling of CBR enhancement related to using different mixes of additives. Lime-organic polymers mix has utilized to upgrade the CBR. Percentages of enhancement were measured and employed to assess the GCA model results. Results indicated that the highest CBR value of 136% was noticed at 30% of organic polymer. On the other hand, the lowest value of CBR value of 50.2% was noticed at 3% of lime. Furthermore, percentages of 9% lime, 5% sodium chloride, and 10% organic polymer were recommended to improve the CBR value of the base layer. Regression models showed high representativeness owing factors of correlation of determination (R2) higher than 90%. Moreover, GCA results showed good fit to laboratory measured percentage increase of CBR as R2 higher than 80% is gained with acceptable values of Root Mean Square Error (RMSE), Frictional Biases (FB) and Global Mean Biases (MB). Finally, percentages of 9% lime, 5% sodium chloride, and 10% organic polymer saved about 43.6%, 28.5% and 50% of the base layer thickness for the same materials respectively. |
| first_indexed | 2024-03-13T04:14:44Z |
| format | Article |
| id | doaj.art-876a991b5bc740d59a1530c38a522b9e |
| institution | Directory Open Access Journal |
| issn | 2356-9441 2735-4873 |
| language | Arabic |
| last_indexed | 2024-03-13T04:14:44Z |
| publishDate | 2023-03-01 |
| publisher | Faculty of engineering, Tanta University |
| record_format | Article |
| series | Journal of Engineering Research - Egypt |
| spelling | doaj.art-876a991b5bc740d59a1530c38a522b9e2023-06-21T06:45:22ZaraFaculty of engineering, Tanta UniversityJournal of Engineering Research - Egypt2356-94412735-48732023-03-0171152010.21608/erjeng.2023.183920.1138279654Evaluating the Effect of Base Course Material Modification on Pavement PerformanceAhmed Elkafoury0Mohamed Ragab1Islam aboelnaga2Dept. of Public Works Eng., Faculty of Engineering, Tanta University, EgyptDept. of Civil Eng., Faculty of Engineering, Suez University, EgyptPublic Works Engineering, Faculty of Engineering, Tanta University, Tanta CityIn pavement construction, the mechanical properties of pavement layers have been a crucial concern. Additions such as lime, organic polymer, and sodium chloride have been used as modifier for enhancing the California Bearing Ratio (CBR) value of the natural dolomite soil. This paper proposed regression models relating the CBR values and percentages increase of CBR to dosages of the used additives. Furthermore, the paper tested the performance of the Generalized Concentration Addition (GCA) analytical modelling of CBR enhancement related to using different mixes of additives. Lime-organic polymers mix has utilized to upgrade the CBR. Percentages of enhancement were measured and employed to assess the GCA model results. Results indicated that the highest CBR value of 136% was noticed at 30% of organic polymer. On the other hand, the lowest value of CBR value of 50.2% was noticed at 3% of lime. Furthermore, percentages of 9% lime, 5% sodium chloride, and 10% organic polymer were recommended to improve the CBR value of the base layer. Regression models showed high representativeness owing factors of correlation of determination (R2) higher than 90%. Moreover, GCA results showed good fit to laboratory measured percentage increase of CBR as R2 higher than 80% is gained with acceptable values of Root Mean Square Error (RMSE), Frictional Biases (FB) and Global Mean Biases (MB). Finally, percentages of 9% lime, 5% sodium chloride, and 10% organic polymer saved about 43.6%, 28.5% and 50% of the base layer thickness for the same materials respectively.https://erjeng.journals.ekb.eg/article_279654_041769ec9c607dcf8700be9feef76a31.pdfcbrbase layer thicknessgca model |
| spellingShingle | Ahmed Elkafoury Mohamed Ragab Islam aboelnaga Evaluating the Effect of Base Course Material Modification on Pavement Performance Journal of Engineering Research - Egypt cbr base layer thickness gca model |
| title | Evaluating the Effect of Base Course Material Modification on Pavement Performance |
| title_full | Evaluating the Effect of Base Course Material Modification on Pavement Performance |
| title_fullStr | Evaluating the Effect of Base Course Material Modification on Pavement Performance |
| title_full_unstemmed | Evaluating the Effect of Base Course Material Modification on Pavement Performance |
| title_short | Evaluating the Effect of Base Course Material Modification on Pavement Performance |
| title_sort | evaluating the effect of base course material modification on pavement performance |
| topic | cbr base layer thickness gca model |
| url | https://erjeng.journals.ekb.eg/article_279654_041769ec9c607dcf8700be9feef76a31.pdf |
| work_keys_str_mv | AT ahmedelkafoury evaluatingtheeffectofbasecoursematerialmodificationonpavementperformance AT mohamedragab evaluatingtheeffectofbasecoursematerialmodificationonpavementperformance AT islamaboelnaga evaluatingtheeffectofbasecoursematerialmodificationonpavementperformance |