Evaluation on Volumetric Properties of Stone Mastic Asphalt Mix Containing Steel Fibre Using Response Surface Method

This paper presents the effects of different amounts of steel fibre on the volumetric properties of stone mastic asphalt (SMA) mixtures. Central composite design (CCD) method was used to design the experiments based on the response surface method (RSM) using Design Expert Software. Steel fibre (SF)...

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Published in:Green Infrastructure: Materials and Sustainable Management
Main Author: Shiong F.; Shaffie E.; Rais N.M.
Format: Book chapter
Language:English
Published: Springer Nature 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205648705&doi=10.1007%2f978-981-99-7003-2_19&partnerID=40&md5=5df3f43f09dbfd92225e1bf99b2a4b68
id 2-s2.0-85205648705
spelling 2-s2.0-85205648705
Shiong F.; Shaffie E.; Rais N.M.
Evaluation on Volumetric Properties of Stone Mastic Asphalt Mix Containing Steel Fibre Using Response Surface Method
2024
Green Infrastructure: Materials and Sustainable Management


10.1007/978-981-99-7003-2_19
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205648705&doi=10.1007%2f978-981-99-7003-2_19&partnerID=40&md5=5df3f43f09dbfd92225e1bf99b2a4b68
This paper presents the effects of different amounts of steel fibre on the volumetric properties of stone mastic asphalt (SMA) mixtures. Central composite design (CCD) method was used to design the experiments based on the response surface method (RSM) using Design Expert Software. Steel fibre (SF) content (0.3, 0.5 and 0.7%), degree of compaction (%) and stiffness (kg/mm) were selected as inde-pendent variables, while bulk specific gravity, Marshall stability, flow and air void of asphalt mixtures were chosen as dependent variables. In this research study, volu-metric properties of SMA mixtures were measured by using Marshall Mix Design. The RSM analyses showed that all independent variables were significant factors for influencing the volumetric properties of the mixtures. In addition, analysis of the test results showed that the mixtures containing 0.3% steel fibre are the most optimum value to be used as a modifier in the SMA mixture. Furthermore, the developed models between the independent and dependent variables demonstrated acceptable levels of correlation. It was concluded that optimization using RSM is an effective approach for providing an appropriate empirical model for relating parameters and predicting the optimum performance of an asphaltic mixture. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Springer Nature

English
Book chapter

author Shiong F.; Shaffie E.; Rais N.M.
spellingShingle Shiong F.; Shaffie E.; Rais N.M.
Evaluation on Volumetric Properties of Stone Mastic Asphalt Mix Containing Steel Fibre Using Response Surface Method
author_facet Shiong F.; Shaffie E.; Rais N.M.
author_sort Shiong F.; Shaffie E.; Rais N.M.
title Evaluation on Volumetric Properties of Stone Mastic Asphalt Mix Containing Steel Fibre Using Response Surface Method
title_short Evaluation on Volumetric Properties of Stone Mastic Asphalt Mix Containing Steel Fibre Using Response Surface Method
title_full Evaluation on Volumetric Properties of Stone Mastic Asphalt Mix Containing Steel Fibre Using Response Surface Method
title_fullStr Evaluation on Volumetric Properties of Stone Mastic Asphalt Mix Containing Steel Fibre Using Response Surface Method
title_full_unstemmed Evaluation on Volumetric Properties of Stone Mastic Asphalt Mix Containing Steel Fibre Using Response Surface Method
title_sort Evaluation on Volumetric Properties of Stone Mastic Asphalt Mix Containing Steel Fibre Using Response Surface Method
publishDate 2024
container_title Green Infrastructure: Materials and Sustainable Management
container_volume
container_issue
doi_str_mv 10.1007/978-981-99-7003-2_19
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205648705&doi=10.1007%2f978-981-99-7003-2_19&partnerID=40&md5=5df3f43f09dbfd92225e1bf99b2a4b68
description This paper presents the effects of different amounts of steel fibre on the volumetric properties of stone mastic asphalt (SMA) mixtures. Central composite design (CCD) method was used to design the experiments based on the response surface method (RSM) using Design Expert Software. Steel fibre (SF) content (0.3, 0.5 and 0.7%), degree of compaction (%) and stiffness (kg/mm) were selected as inde-pendent variables, while bulk specific gravity, Marshall stability, flow and air void of asphalt mixtures were chosen as dependent variables. In this research study, volu-metric properties of SMA mixtures were measured by using Marshall Mix Design. The RSM analyses showed that all independent variables were significant factors for influencing the volumetric properties of the mixtures. In addition, analysis of the test results showed that the mixtures containing 0.3% steel fibre are the most optimum value to be used as a modifier in the SMA mixture. Furthermore, the developed models between the independent and dependent variables demonstrated acceptable levels of correlation. It was concluded that optimization using RSM is an effective approach for providing an appropriate empirical model for relating parameters and predicting the optimum performance of an asphaltic mixture. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
publisher Springer Nature
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language English
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