Coupling effect of pond ash and polypropylene fiber on strength and durability of expansive soil subgrades: An integrated experimental and machine learning approach
This study explores the coupling effect of pond ash (PA) and polypropylene (PP) fiber to control the strength and durability of expansive soil. The PA is used to chemically treat the expansive soil and PP fiber is adopted as reinforcement against tensile cracking. The sustainable use of PA and PP fi...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | Journal of Rock Mechanics and Geotechnical Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674775521000603 |
| _version_ | 1818647337523740672 |
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| author | Nitin Tiwari Neelima Satyam |
| author_facet | Nitin Tiwari Neelima Satyam |
| author_sort | Nitin Tiwari |
| collection | DOAJ |
| description | This study explores the coupling effect of pond ash (PA) and polypropylene (PP) fiber to control the strength and durability of expansive soil. The PA is used to chemically treat the expansive soil and PP fiber is adopted as reinforcement against tensile cracking. The sustainable use of PA and PP fiber are demonstrated by performing mechanical (i.e. unconfined compressive strength, split tensile strength and ultrasonic pulse velocity), chemical (pH value, electrical conductivity and calcite content), and microstructural analyses before and after 2nd, 4th, 6th, 8th and 10th freezing-thawing (F-T) cycles. Three curing methods with 7 d, 14 d and 28 d curing periods are considered to reinforce the 5%, 10%, 15% and 20% PA-stabilized expansive soil with 0.25%, 0.5% and 1% PP fiber. In order to develop predictive models for mechanical and durability parameters, the experimental data are processed utilizing artificial neural network (ANN), in association with the leave-one-out cross-validation (LOOCV) as a resampling method and three different activation functions. The mechanical and durability properties of the PA-stabilized expansive soil subgrades are increased with PP fiber reinforcement. The results of ANN modeling predict the mechanical properties perfectly, and the correlation coefficient (R) approaches up to 0.96. |
| first_indexed | 2024-12-17T01:00:56Z |
| format | Article |
| id | doaj.art-a8a7756183a14c3fa02e73d9505169f4 |
| institution | Directory Open Access Journal |
| issn | 1674-7755 |
| language | English |
| last_indexed | 2024-12-17T01:00:56Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Rock Mechanics and Geotechnical Engineering |
| spelling | doaj.art-a8a7756183a14c3fa02e73d9505169f42022-12-21T22:09:26ZengElsevierJournal of Rock Mechanics and Geotechnical Engineering1674-77552021-10-0113511011112Coupling effect of pond ash and polypropylene fiber on strength and durability of expansive soil subgrades: An integrated experimental and machine learning approachNitin Tiwari0Neelima Satyam1Department of Civil Engineering, Indian Institute of Technology Indore, Indore, IndiaCorresponding author.; Department of Civil Engineering, Indian Institute of Technology Indore, Indore, IndiaThis study explores the coupling effect of pond ash (PA) and polypropylene (PP) fiber to control the strength and durability of expansive soil. The PA is used to chemically treat the expansive soil and PP fiber is adopted as reinforcement against tensile cracking. The sustainable use of PA and PP fiber are demonstrated by performing mechanical (i.e. unconfined compressive strength, split tensile strength and ultrasonic pulse velocity), chemical (pH value, electrical conductivity and calcite content), and microstructural analyses before and after 2nd, 4th, 6th, 8th and 10th freezing-thawing (F-T) cycles. Three curing methods with 7 d, 14 d and 28 d curing periods are considered to reinforce the 5%, 10%, 15% and 20% PA-stabilized expansive soil with 0.25%, 0.5% and 1% PP fiber. In order to develop predictive models for mechanical and durability parameters, the experimental data are processed utilizing artificial neural network (ANN), in association with the leave-one-out cross-validation (LOOCV) as a resampling method and three different activation functions. The mechanical and durability properties of the PA-stabilized expansive soil subgrades are increased with PP fiber reinforcement. The results of ANN modeling predict the mechanical properties perfectly, and the correlation coefficient (R) approaches up to 0.96.http://www.sciencedirect.com/science/article/pii/S1674775521000603Expansive soil subgradesWaste utilizationFreezing-thawing (F-T)Microstructural assessmentPond ash (PA)Polypropylene (PP) fiber |
| spellingShingle | Nitin Tiwari Neelima Satyam Coupling effect of pond ash and polypropylene fiber on strength and durability of expansive soil subgrades: An integrated experimental and machine learning approach Journal of Rock Mechanics and Geotechnical Engineering Expansive soil subgrades Waste utilization Freezing-thawing (F-T) Microstructural assessment Pond ash (PA) Polypropylene (PP) fiber |
| title | Coupling effect of pond ash and polypropylene fiber on strength and durability of expansive soil subgrades: An integrated experimental and machine learning approach |
| title_full | Coupling effect of pond ash and polypropylene fiber on strength and durability of expansive soil subgrades: An integrated experimental and machine learning approach |
| title_fullStr | Coupling effect of pond ash and polypropylene fiber on strength and durability of expansive soil subgrades: An integrated experimental and machine learning approach |
| title_full_unstemmed | Coupling effect of pond ash and polypropylene fiber on strength and durability of expansive soil subgrades: An integrated experimental and machine learning approach |
| title_short | Coupling effect of pond ash and polypropylene fiber on strength and durability of expansive soil subgrades: An integrated experimental and machine learning approach |
| title_sort | coupling effect of pond ash and polypropylene fiber on strength and durability of expansive soil subgrades an integrated experimental and machine learning approach |
| topic | Expansive soil subgrades Waste utilization Freezing-thawing (F-T) Microstructural assessment Pond ash (PA) Polypropylene (PP) fiber |
| url | http://www.sciencedirect.com/science/article/pii/S1674775521000603 |
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