Optimizing industrial waste in road construction: a response surface methodology approach
Abstract This research explores the sustainable use of fly ash, glass fiber, and ground granulated blast furnace slag (GGBS) as stabilizing agents in the base and subbase layers of flexible pavements. Utilizing Design Expert 13 software and Response Surface Methodology (RSM), we identified optimal m...
Ausführliche Beschreibung
Autor*in: |
Kedar, Hrushikesh N. [verfasserIn] Aware, Rushikesh [verfasserIn] Repale, Gauri [verfasserIn] Pankaj, Thakare [verfasserIn] Sangale, Prerana [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2024 |
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Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Übergeordnetes Werk: |
Enthalten in: Journal of building pathology and rehabilitation - Springer International Publishing, 2016, 9(2024), 1 vom: 10. Apr. |
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Übergeordnetes Werk: |
volume:9 ; year:2024 ; number:1 ; day:10 ; month:04 |
Links: |
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DOI / URN: |
10.1007/s41024-024-00419-1 |
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Katalog-ID: |
SPR055485405 |
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520 | |a Abstract This research explores the sustainable use of fly ash, glass fiber, and ground granulated blast furnace slag (GGBS) as stabilizing agents in the base and subbase layers of flexible pavements. Utilizing Design Expert 13 software and Response Surface Methodology (RSM), we identified optimal mixtures that satisfy technical specifications. Our analysis found that a composition of 88% fly ash, 3% glass fiber, and 9% GGBS meets the required Unconfined Compressive Strength (UCS) of over 3 MPa at 28 days, ideal for subbase layers, while 83% fly ash, 5% glass fiber, and 12% GGBS achieve UCS values as high as 6.76 MPa, suitable for base layers. Modified Compaction, UCS, and California Bearing Ratio (CBR) tests, alongside ANOVA, grounded our statistical methodology. Specifically, blends with higher glass fiber content demonstrated significant improvements in UCS and CBR, with the 88% fly ash, 3% glass fiber, and 9% GGBS mix achieving a notable CBR of 67.20%, well above the minimum 30% required for heavy-traffic pavements. These findings underscore the potential of such industrial waste materials to enhance mechanical properties and sustainability in road construction. | ||
650 | 4 | |a Sustainable pavement construction |7 (dpeaa)DE-He213 | |
650 | 4 | |a Fly ash stabilization |7 (dpeaa)DE-He213 | |
650 | 4 | |a Response surface methodology |7 (dpeaa)DE-He213 | |
650 | 4 | |a Flexible pavement |7 (dpeaa)DE-He213 | |
700 | 1 | |a Aware, Rushikesh |e verfasserin |4 aut | |
700 | 1 | |a Repale, Gauri |e verfasserin |4 aut | |
700 | 1 | |a Pankaj, Thakare |e verfasserin |4 aut | |
700 | 1 | |a Sangale, Prerana |e verfasserin |4 aut | |
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10.1007/s41024-024-00419-1 doi (DE-627)SPR055485405 (SPR)s41024-024-00419-1-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ Kedar, Hrushikesh N. verfasserin aut Optimizing industrial waste in road construction: a response surface methodology approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This research explores the sustainable use of fly ash, glass fiber, and ground granulated blast furnace slag (GGBS) as stabilizing agents in the base and subbase layers of flexible pavements. Utilizing Design Expert 13 software and Response Surface Methodology (RSM), we identified optimal mixtures that satisfy technical specifications. Our analysis found that a composition of 88% fly ash, 3% glass fiber, and 9% GGBS meets the required Unconfined Compressive Strength (UCS) of over 3 MPa at 28 days, ideal for subbase layers, while 83% fly ash, 5% glass fiber, and 12% GGBS achieve UCS values as high as 6.76 MPa, suitable for base layers. Modified Compaction, UCS, and California Bearing Ratio (CBR) tests, alongside ANOVA, grounded our statistical methodology. Specifically, blends with higher glass fiber content demonstrated significant improvements in UCS and CBR, with the 88% fly ash, 3% glass fiber, and 9% GGBS mix achieving a notable CBR of 67.20%, well above the minimum 30% required for heavy-traffic pavements. These findings underscore the potential of such industrial waste materials to enhance mechanical properties and sustainability in road construction. Sustainable pavement construction (dpeaa)DE-He213 Fly ash stabilization (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 Aware, Rushikesh verfasserin aut Repale, Gauri verfasserin aut Pankaj, Thakare verfasserin aut Sangale, Prerana verfasserin aut Enthalten in Journal of building pathology and rehabilitation Springer International Publishing, 2016 9(2024), 1 vom: 10. Apr. (DE-627)844386359 (DE-600)2843086-4 2365-3167 nnns volume:9 year:2024 number:1 day:10 month:04 https://dx.doi.org/10.1007/s41024-024-00419-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2024 1 10 04 |
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10.1007/s41024-024-00419-1 doi (DE-627)SPR055485405 (SPR)s41024-024-00419-1-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ Kedar, Hrushikesh N. verfasserin aut Optimizing industrial waste in road construction: a response surface methodology approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This research explores the sustainable use of fly ash, glass fiber, and ground granulated blast furnace slag (GGBS) as stabilizing agents in the base and subbase layers of flexible pavements. Utilizing Design Expert 13 software and Response Surface Methodology (RSM), we identified optimal mixtures that satisfy technical specifications. Our analysis found that a composition of 88% fly ash, 3% glass fiber, and 9% GGBS meets the required Unconfined Compressive Strength (UCS) of over 3 MPa at 28 days, ideal for subbase layers, while 83% fly ash, 5% glass fiber, and 12% GGBS achieve UCS values as high as 6.76 MPa, suitable for base layers. Modified Compaction, UCS, and California Bearing Ratio (CBR) tests, alongside ANOVA, grounded our statistical methodology. Specifically, blends with higher glass fiber content demonstrated significant improvements in UCS and CBR, with the 88% fly ash, 3% glass fiber, and 9% GGBS mix achieving a notable CBR of 67.20%, well above the minimum 30% required for heavy-traffic pavements. These findings underscore the potential of such industrial waste materials to enhance mechanical properties and sustainability in road construction. Sustainable pavement construction (dpeaa)DE-He213 Fly ash stabilization (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 Aware, Rushikesh verfasserin aut Repale, Gauri verfasserin aut Pankaj, Thakare verfasserin aut Sangale, Prerana verfasserin aut Enthalten in Journal of building pathology and rehabilitation Springer International Publishing, 2016 9(2024), 1 vom: 10. Apr. (DE-627)844386359 (DE-600)2843086-4 2365-3167 nnns volume:9 year:2024 number:1 day:10 month:04 https://dx.doi.org/10.1007/s41024-024-00419-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2024 1 10 04 |
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10.1007/s41024-024-00419-1 doi (DE-627)SPR055485405 (SPR)s41024-024-00419-1-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ Kedar, Hrushikesh N. verfasserin aut Optimizing industrial waste in road construction: a response surface methodology approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This research explores the sustainable use of fly ash, glass fiber, and ground granulated blast furnace slag (GGBS) as stabilizing agents in the base and subbase layers of flexible pavements. Utilizing Design Expert 13 software and Response Surface Methodology (RSM), we identified optimal mixtures that satisfy technical specifications. Our analysis found that a composition of 88% fly ash, 3% glass fiber, and 9% GGBS meets the required Unconfined Compressive Strength (UCS) of over 3 MPa at 28 days, ideal for subbase layers, while 83% fly ash, 5% glass fiber, and 12% GGBS achieve UCS values as high as 6.76 MPa, suitable for base layers. Modified Compaction, UCS, and California Bearing Ratio (CBR) tests, alongside ANOVA, grounded our statistical methodology. Specifically, blends with higher glass fiber content demonstrated significant improvements in UCS and CBR, with the 88% fly ash, 3% glass fiber, and 9% GGBS mix achieving a notable CBR of 67.20%, well above the minimum 30% required for heavy-traffic pavements. These findings underscore the potential of such industrial waste materials to enhance mechanical properties and sustainability in road construction. Sustainable pavement construction (dpeaa)DE-He213 Fly ash stabilization (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 Aware, Rushikesh verfasserin aut Repale, Gauri verfasserin aut Pankaj, Thakare verfasserin aut Sangale, Prerana verfasserin aut Enthalten in Journal of building pathology and rehabilitation Springer International Publishing, 2016 9(2024), 1 vom: 10. Apr. (DE-627)844386359 (DE-600)2843086-4 2365-3167 nnns volume:9 year:2024 number:1 day:10 month:04 https://dx.doi.org/10.1007/s41024-024-00419-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2024 1 10 04 |
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10.1007/s41024-024-00419-1 doi (DE-627)SPR055485405 (SPR)s41024-024-00419-1-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ Kedar, Hrushikesh N. verfasserin aut Optimizing industrial waste in road construction: a response surface methodology approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This research explores the sustainable use of fly ash, glass fiber, and ground granulated blast furnace slag (GGBS) as stabilizing agents in the base and subbase layers of flexible pavements. Utilizing Design Expert 13 software and Response Surface Methodology (RSM), we identified optimal mixtures that satisfy technical specifications. Our analysis found that a composition of 88% fly ash, 3% glass fiber, and 9% GGBS meets the required Unconfined Compressive Strength (UCS) of over 3 MPa at 28 days, ideal for subbase layers, while 83% fly ash, 5% glass fiber, and 12% GGBS achieve UCS values as high as 6.76 MPa, suitable for base layers. Modified Compaction, UCS, and California Bearing Ratio (CBR) tests, alongside ANOVA, grounded our statistical methodology. Specifically, blends with higher glass fiber content demonstrated significant improvements in UCS and CBR, with the 88% fly ash, 3% glass fiber, and 9% GGBS mix achieving a notable CBR of 67.20%, well above the minimum 30% required for heavy-traffic pavements. These findings underscore the potential of such industrial waste materials to enhance mechanical properties and sustainability in road construction. Sustainable pavement construction (dpeaa)DE-He213 Fly ash stabilization (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 Aware, Rushikesh verfasserin aut Repale, Gauri verfasserin aut Pankaj, Thakare verfasserin aut Sangale, Prerana verfasserin aut Enthalten in Journal of building pathology and rehabilitation Springer International Publishing, 2016 9(2024), 1 vom: 10. Apr. (DE-627)844386359 (DE-600)2843086-4 2365-3167 nnns volume:9 year:2024 number:1 day:10 month:04 https://dx.doi.org/10.1007/s41024-024-00419-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2024 1 10 04 |
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10.1007/s41024-024-00419-1 doi (DE-627)SPR055485405 (SPR)s41024-024-00419-1-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ Kedar, Hrushikesh N. verfasserin aut Optimizing industrial waste in road construction: a response surface methodology approach 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract This research explores the sustainable use of fly ash, glass fiber, and ground granulated blast furnace slag (GGBS) as stabilizing agents in the base and subbase layers of flexible pavements. Utilizing Design Expert 13 software and Response Surface Methodology (RSM), we identified optimal mixtures that satisfy technical specifications. Our analysis found that a composition of 88% fly ash, 3% glass fiber, and 9% GGBS meets the required Unconfined Compressive Strength (UCS) of over 3 MPa at 28 days, ideal for subbase layers, while 83% fly ash, 5% glass fiber, and 12% GGBS achieve UCS values as high as 6.76 MPa, suitable for base layers. Modified Compaction, UCS, and California Bearing Ratio (CBR) tests, alongside ANOVA, grounded our statistical methodology. Specifically, blends with higher glass fiber content demonstrated significant improvements in UCS and CBR, with the 88% fly ash, 3% glass fiber, and 9% GGBS mix achieving a notable CBR of 67.20%, well above the minimum 30% required for heavy-traffic pavements. These findings underscore the potential of such industrial waste materials to enhance mechanical properties and sustainability in road construction. Sustainable pavement construction (dpeaa)DE-He213 Fly ash stabilization (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 Aware, Rushikesh verfasserin aut Repale, Gauri verfasserin aut Pankaj, Thakare verfasserin aut Sangale, Prerana verfasserin aut Enthalten in Journal of building pathology and rehabilitation Springer International Publishing, 2016 9(2024), 1 vom: 10. Apr. (DE-627)844386359 (DE-600)2843086-4 2365-3167 nnns volume:9 year:2024 number:1 day:10 month:04 https://dx.doi.org/10.1007/s41024-024-00419-1 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2024 1 10 04 |
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Kedar, Hrushikesh N. @@aut@@ Aware, Rushikesh @@aut@@ Repale, Gauri @@aut@@ Pankaj, Thakare @@aut@@ Sangale, Prerana @@aut@@ |
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Kedar, Hrushikesh N. |
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optimizing industrial waste in road construction: a response surface methodology approach |
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Optimizing industrial waste in road construction: a response surface methodology approach |
abstract |
Abstract This research explores the sustainable use of fly ash, glass fiber, and ground granulated blast furnace slag (GGBS) as stabilizing agents in the base and subbase layers of flexible pavements. Utilizing Design Expert 13 software and Response Surface Methodology (RSM), we identified optimal mixtures that satisfy technical specifications. Our analysis found that a composition of 88% fly ash, 3% glass fiber, and 9% GGBS meets the required Unconfined Compressive Strength (UCS) of over 3 MPa at 28 days, ideal for subbase layers, while 83% fly ash, 5% glass fiber, and 12% GGBS achieve UCS values as high as 6.76 MPa, suitable for base layers. Modified Compaction, UCS, and California Bearing Ratio (CBR) tests, alongside ANOVA, grounded our statistical methodology. Specifically, blends with higher glass fiber content demonstrated significant improvements in UCS and CBR, with the 88% fly ash, 3% glass fiber, and 9% GGBS mix achieving a notable CBR of 67.20%, well above the minimum 30% required for heavy-traffic pavements. These findings underscore the potential of such industrial waste materials to enhance mechanical properties and sustainability in road construction. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Abstract This research explores the sustainable use of fly ash, glass fiber, and ground granulated blast furnace slag (GGBS) as stabilizing agents in the base and subbase layers of flexible pavements. Utilizing Design Expert 13 software and Response Surface Methodology (RSM), we identified optimal mixtures that satisfy technical specifications. Our analysis found that a composition of 88% fly ash, 3% glass fiber, and 9% GGBS meets the required Unconfined Compressive Strength (UCS) of over 3 MPa at 28 days, ideal for subbase layers, while 83% fly ash, 5% glass fiber, and 12% GGBS achieve UCS values as high as 6.76 MPa, suitable for base layers. Modified Compaction, UCS, and California Bearing Ratio (CBR) tests, alongside ANOVA, grounded our statistical methodology. Specifically, blends with higher glass fiber content demonstrated significant improvements in UCS and CBR, with the 88% fly ash, 3% glass fiber, and 9% GGBS mix achieving a notable CBR of 67.20%, well above the minimum 30% required for heavy-traffic pavements. These findings underscore the potential of such industrial waste materials to enhance mechanical properties and sustainability in road construction. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstract_unstemmed |
Abstract This research explores the sustainable use of fly ash, glass fiber, and ground granulated blast furnace slag (GGBS) as stabilizing agents in the base and subbase layers of flexible pavements. Utilizing Design Expert 13 software and Response Surface Methodology (RSM), we identified optimal mixtures that satisfy technical specifications. Our analysis found that a composition of 88% fly ash, 3% glass fiber, and 9% GGBS meets the required Unconfined Compressive Strength (UCS) of over 3 MPa at 28 days, ideal for subbase layers, while 83% fly ash, 5% glass fiber, and 12% GGBS achieve UCS values as high as 6.76 MPa, suitable for base layers. Modified Compaction, UCS, and California Bearing Ratio (CBR) tests, alongside ANOVA, grounded our statistical methodology. Specifically, blends with higher glass fiber content demonstrated significant improvements in UCS and CBR, with the 88% fly ash, 3% glass fiber, and 9% GGBS mix achieving a notable CBR of 67.20%, well above the minimum 30% required for heavy-traffic pavements. These findings underscore the potential of such industrial waste materials to enhance mechanical properties and sustainability in road construction. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Optimizing industrial waste in road construction: a response surface methodology approach |
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Aware, Rushikesh Repale, Gauri Pankaj, Thakare Sangale, Prerana |
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2024-07-03T15:58:53.559Z |
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score |
7.4019384 |