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Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach
A variety of materials, including waste and rubber products, have been used in road construction to improve the performance of bituminous pavements. The present investigation is focused on modifying bitumen using Nitrile rubber (NBR) with different thermosets namely Bakelite (B), Furan Resin (FR), a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942971/ https://www.ncbi.nlm.nih.gov/pubmed/36809361 http://dx.doi.org/10.1371/journal.pone.0281418 |
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author | Chopra, Avani Singh, Sandeep Kanoungo, Abhishek Singh, Gurpreet Gupta, Naveen Kumar Sharma, Shubham Joshi, Sanjeev Kumar Eldin, Sayed M. |
author_facet | Chopra, Avani Singh, Sandeep Kanoungo, Abhishek Singh, Gurpreet Gupta, Naveen Kumar Sharma, Shubham Joshi, Sanjeev Kumar Eldin, Sayed M. |
author_sort | Chopra, Avani |
collection | PubMed |
description | A variety of materials, including waste and rubber products, have been used in road construction to improve the performance of bituminous pavements. The present investigation is focused on modifying bitumen using Nitrile rubber (NBR) with different thermosets namely Bakelite (B), Furan Resin (FR), and Epoxy resin (ER). The emphasis of the problem is to arrive at a mix to achieve maximum Marshall Stability (MS) and minimum flow value of Modified Bituminous Concrete. Taguchi DOE technique has been used to design the experiments using Minitab software. Analysis of Variance (ANOVA) and Multi-objective optimization has been performed using the desirability approach in Design expert software. ANOVA analysis predicts that NBR, B, ER, and FR are the major significant parameters for Marshall Stability (MS) and Flow Value (FV). It has also been analyzed from SEM and EDS images of modified bitumen that sample S1 (5% NBR, 10% Bakelite, 10% FR, 2.5% ER) has a fine surface with small pores as compared to sample S34 (10% NBR, 0% Bakelite 10% FR, 2.5% ER). Multi-optimization results suggested the optimal conditions are achieved at NBR-7.6%, Bakelite-4.8%, FR-2.5%, and ER-2.6% for MS and FV. The maximum MS is 14.84 KN and the minimum FV is 2.84 mm is obtained using optimum conditions. To validate the optimization results, the confirmation runs have been conducted, and obtained results are within 5% error with optimal conditions. |
format | Online Article Text |
id | pubmed-9942971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-99429712023-02-22 Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach Chopra, Avani Singh, Sandeep Kanoungo, Abhishek Singh, Gurpreet Gupta, Naveen Kumar Sharma, Shubham Joshi, Sanjeev Kumar Eldin, Sayed M. PLoS One Research Article A variety of materials, including waste and rubber products, have been used in road construction to improve the performance of bituminous pavements. The present investigation is focused on modifying bitumen using Nitrile rubber (NBR) with different thermosets namely Bakelite (B), Furan Resin (FR), and Epoxy resin (ER). The emphasis of the problem is to arrive at a mix to achieve maximum Marshall Stability (MS) and minimum flow value of Modified Bituminous Concrete. Taguchi DOE technique has been used to design the experiments using Minitab software. Analysis of Variance (ANOVA) and Multi-objective optimization has been performed using the desirability approach in Design expert software. ANOVA analysis predicts that NBR, B, ER, and FR are the major significant parameters for Marshall Stability (MS) and Flow Value (FV). It has also been analyzed from SEM and EDS images of modified bitumen that sample S1 (5% NBR, 10% Bakelite, 10% FR, 2.5% ER) has a fine surface with small pores as compared to sample S34 (10% NBR, 0% Bakelite 10% FR, 2.5% ER). Multi-optimization results suggested the optimal conditions are achieved at NBR-7.6%, Bakelite-4.8%, FR-2.5%, and ER-2.6% for MS and FV. The maximum MS is 14.84 KN and the minimum FV is 2.84 mm is obtained using optimum conditions. To validate the optimization results, the confirmation runs have been conducted, and obtained results are within 5% error with optimal conditions. Public Library of Science 2023-02-21 /pmc/articles/PMC9942971/ /pubmed/36809361 http://dx.doi.org/10.1371/journal.pone.0281418 Text en © 2023 Chopra et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Chopra, Avani Singh, Sandeep Kanoungo, Abhishek Singh, Gurpreet Gupta, Naveen Kumar Sharma, Shubham Joshi, Sanjeev Kumar Eldin, Sayed M. Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach |
title | Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach |
title_full | Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach |
title_fullStr | Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach |
title_full_unstemmed | Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach |
title_short | Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach |
title_sort | multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942971/ https://www.ncbi.nlm.nih.gov/pubmed/36809361 http://dx.doi.org/10.1371/journal.pone.0281418 |
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