Mechanical Performance of Steel- Slag and Lime-Modified Asphalt Mixture: A Response Surface Approach
The Response Surface Methodology (RSM) is a collection of methods used to create various experiment designs, determine relationships between experimental variables and responses, and use these relationships to identify the ideal conditions. This study uses RSM to forecast the mechanical characteris...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2024-06-01
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| Series: | The Baltic Journal of Road and Bridge Engineering |
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| Online Access: | https://bjrbe-journals.rtu.lv/bjrbe/article/view/755 |
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| _version_ | 1841563821232095232 |
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| author | Daniel Oguntayo Olumide Ogundipe Oluwasegun Aluko Olawale Aransiola |
| author_facet | Daniel Oguntayo Olumide Ogundipe Oluwasegun Aluko Olawale Aransiola |
| author_sort | Daniel Oguntayo |
| collection | DOAJ |
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The Response Surface Methodology (RSM) is a collection of methods used to create various experiment designs, determine relationships between experimental variables and responses, and use these relationships to identify the ideal conditions. This study uses RSM to forecast the mechanical characteristics of mixtures modified with steel slag and lime. Using the Box Behnken Design (BBD) method for the mix proportion, steel slag (0–100%), lime (0–4%), and bitumen content (4–8%) were considered independent variables, while the responses were the resilient modulus, indirect tensile strength, flexural stiffness, and compressive strength. Analysis of variance showed that the steel slag was the most influencing factor for the flexural stiffness property of the steel-slag and lime-modified asphalt mixtures. Also, the regression coefficient (R2) of 0.9214, 0.8380, 0.7412, and 0.8266 was obtained for the stiffness, Mr, compressive strength, and ITS, respectively. Some interaction effects on the responses were found between the steel slag and lime. The optimization findings show that 25.01% steel slag, 2.43% lime, and 5.51% bitumen content are the best values to satisfy the design criteria. The optimized mixture design will offer a cost-effective and environmentally friendly solution, promoting resource conservation and sustainable development in the construction industry.
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| format | Article |
| id | doaj-art-1de7a05031af466ab8749cef4c774f8b |
| institution | Kabale University |
| issn | 1822-427X 1822-4288 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | The Baltic Journal of Road and Bridge Engineering |
| spelling | doaj-art-1de7a05031af466ab8749cef4c774f8b2025-01-02T23:26:00ZengRiga Technical University PressThe Baltic Journal of Road and Bridge Engineering1822-427X1822-42882024-06-0119210.7250/bjrbe.2024-19.635Mechanical Performance of Steel- Slag and Lime-Modified Asphalt Mixture: A Response Surface ApproachDaniel Oguntayo0https://orcid.org/0000-0003-0400-6103Olumide Ogundipe1https://orcid.org/0000-0002-2783-1336Oluwasegun Aluko2https://orcid.org/0000-0002-2292-4250Olawale Aransiola3https://orcid.org/0000-0003-2728-8721Department of Civil Engineering, Confluence University of Science and Technology, Osara, NigeriaDepartment of Civil Engineering, Ekiti State University, Ado-Ekiti, NigeriaDepartment of Civil Engineering, Ekiti State University, Ado-Ekiti, NigeriaDepartment of Mechanical Engineering, University of Ilorin, Ilorin, Nigeria The Response Surface Methodology (RSM) is a collection of methods used to create various experiment designs, determine relationships between experimental variables and responses, and use these relationships to identify the ideal conditions. This study uses RSM to forecast the mechanical characteristics of mixtures modified with steel slag and lime. Using the Box Behnken Design (BBD) method for the mix proportion, steel slag (0–100%), lime (0–4%), and bitumen content (4–8%) were considered independent variables, while the responses were the resilient modulus, indirect tensile strength, flexural stiffness, and compressive strength. Analysis of variance showed that the steel slag was the most influencing factor for the flexural stiffness property of the steel-slag and lime-modified asphalt mixtures. Also, the regression coefficient (R2) of 0.9214, 0.8380, 0.7412, and 0.8266 was obtained for the stiffness, Mr, compressive strength, and ITS, respectively. Some interaction effects on the responses were found between the steel slag and lime. The optimization findings show that 25.01% steel slag, 2.43% lime, and 5.51% bitumen content are the best values to satisfy the design criteria. The optimized mixture design will offer a cost-effective and environmentally friendly solution, promoting resource conservation and sustainable development in the construction industry. https://bjrbe-journals.rtu.lv/bjrbe/article/view/755asphalt mixturesITSlimeoptimizationResilient ModulusRSM |
| spellingShingle | Daniel Oguntayo Olumide Ogundipe Oluwasegun Aluko Olawale Aransiola Mechanical Performance of Steel- Slag and Lime-Modified Asphalt Mixture: A Response Surface Approach The Baltic Journal of Road and Bridge Engineering asphalt mixtures ITS lime optimization Resilient Modulus RSM |
| title | Mechanical Performance of Steel- Slag and Lime-Modified Asphalt Mixture: A Response Surface Approach |
| title_full | Mechanical Performance of Steel- Slag and Lime-Modified Asphalt Mixture: A Response Surface Approach |
| title_fullStr | Mechanical Performance of Steel- Slag and Lime-Modified Asphalt Mixture: A Response Surface Approach |
| title_full_unstemmed | Mechanical Performance of Steel- Slag and Lime-Modified Asphalt Mixture: A Response Surface Approach |
| title_short | Mechanical Performance of Steel- Slag and Lime-Modified Asphalt Mixture: A Response Surface Approach |
| title_sort | mechanical performance of steel slag and lime modified asphalt mixture a response surface approach |
| topic | asphalt mixtures ITS lime optimization Resilient Modulus RSM |
| url | https://bjrbe-journals.rtu.lv/bjrbe/article/view/755 |
| work_keys_str_mv | AT danieloguntayo mechanicalperformanceofsteelslagandlimemodifiedasphaltmixturearesponsesurfaceapproach AT olumideogundipe mechanicalperformanceofsteelslagandlimemodifiedasphaltmixturearesponsesurfaceapproach AT oluwasegunaluko mechanicalperformanceofsteelslagandlimemodifiedasphaltmixturearesponsesurfaceapproach AT olawalearansiola mechanicalperformanceofsteelslagandlimemodifiedasphaltmixturearesponsesurfaceapproach |