Evaluation of the Sensitivity of the MEPDG to Bottom-Up Fatigue Cracking in South Carolina
Abstract The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Girish, Shilpa [verfasserIn] Putman, Bradley J. [verfasserIn] Kumar, Ashish [verfasserIn] Nagarajan, Srinivasan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2023. 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: International journal of pavement research & technology - Springer Nature Singapore, 2008, 17(2023), 5 vom: 22. Mai, Seite 1225-1238 |
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| Übergeordnetes Werk: |
volume:17 ; year:2023 ; number:5 ; day:22 ; month:05 ; pages:1225-1238 |
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| DOI / URN: |
10.1007/s42947-023-00297-9 |
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| Katalog-ID: |
SPR057281114 |
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| 520 | |a Abstract The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design software. A combination of MEPDG input levels (Levels 1, 2, and 3) were used for pavement analysis based on the availability of data. The variables considered in this investigation included two-way average annual daily truck traffic (AADTT), asphalt mix type, climate station, subgrade type and resilient modulus, and aggregate base thickness. This study mainly focused on the bottom-up fatigue cracking, and individual pavement designs were evaluated to determine the asphalt concrete (AC) thickness for which the total bottom-up cracking was equal to 2% lane area after a 20-year design period. The results indicated that the asphalt mix type did not have significant impact on the pavement thickness. One of the five climate stations evaluated resulted in significantly thicker pavements than the others. Subgrade type, as well as resilient modulus, had a significant effect on the pavement thickness. Finally, pavements were more sensitive to total truck traffic changes at lower AADTT values and then became somewhat less sensitive when exposed to the highest levels of traffic. The results of this study could potentially be used to develop a preliminary asphalt thickness design catalog for interstate routes in South Carolina. | ||
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10.1007/s42947-023-00297-9 doi (DE-627)SPR057281114 (SPR)s42947-023-00297-9-e DE-627 ger DE-627 rakwb eng 100 VZ 56.24 bkl Girish, Shilpa verfasserin (orcid)0000-0003-4546-2893 aut Evaluation of the Sensitivity of the MEPDG to Bottom-Up Fatigue Cracking in South Carolina 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2023. 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 The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design software. A combination of MEPDG input levels (Levels 1, 2, and 3) were used for pavement analysis based on the availability of data. The variables considered in this investigation included two-way average annual daily truck traffic (AADTT), asphalt mix type, climate station, subgrade type and resilient modulus, and aggregate base thickness. This study mainly focused on the bottom-up fatigue cracking, and individual pavement designs were evaluated to determine the asphalt concrete (AC) thickness for which the total bottom-up cracking was equal to 2% lane area after a 20-year design period. The results indicated that the asphalt mix type did not have significant impact on the pavement thickness. One of the five climate stations evaluated resulted in significantly thicker pavements than the others. Subgrade type, as well as resilient modulus, had a significant effect on the pavement thickness. Finally, pavements were more sensitive to total truck traffic changes at lower AADTT values and then became somewhat less sensitive when exposed to the highest levels of traffic. The results of this study could potentially be used to develop a preliminary asphalt thickness design catalog for interstate routes in South Carolina. Mechanistic-Empirical Pavement Design Guide (MEPDG) (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Pavement design (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 Putman, Bradley J. verfasserin aut Kumar, Ashish verfasserin aut Nagarajan, Srinivasan verfasserin aut Enthalten in International journal of pavement research & technology Springer Nature Singapore, 2008 17(2023), 5 vom: 22. Mai, Seite 1225-1238 (DE-627)634381512 (DE-600)2570928-8 1997-1400 nnns volume:17 year:2023 number:5 day:22 month:05 pages:1225-1238 https://dx.doi.org/10.1007/s42947-023-00297-9 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER 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_105 GBV_ILN_110 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_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_2008 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_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 56.24 VZ AR 17 2023 5 22 05 1225-1238 |
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10.1007/s42947-023-00297-9 doi (DE-627)SPR057281114 (SPR)s42947-023-00297-9-e DE-627 ger DE-627 rakwb eng 100 VZ 56.24 bkl Girish, Shilpa verfasserin (orcid)0000-0003-4546-2893 aut Evaluation of the Sensitivity of the MEPDG to Bottom-Up Fatigue Cracking in South Carolina 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2023. 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 The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design software. A combination of MEPDG input levels (Levels 1, 2, and 3) were used for pavement analysis based on the availability of data. The variables considered in this investigation included two-way average annual daily truck traffic (AADTT), asphalt mix type, climate station, subgrade type and resilient modulus, and aggregate base thickness. This study mainly focused on the bottom-up fatigue cracking, and individual pavement designs were evaluated to determine the asphalt concrete (AC) thickness for which the total bottom-up cracking was equal to 2% lane area after a 20-year design period. The results indicated that the asphalt mix type did not have significant impact on the pavement thickness. One of the five climate stations evaluated resulted in significantly thicker pavements than the others. Subgrade type, as well as resilient modulus, had a significant effect on the pavement thickness. Finally, pavements were more sensitive to total truck traffic changes at lower AADTT values and then became somewhat less sensitive when exposed to the highest levels of traffic. The results of this study could potentially be used to develop a preliminary asphalt thickness design catalog for interstate routes in South Carolina. Mechanistic-Empirical Pavement Design Guide (MEPDG) (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Pavement design (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 Putman, Bradley J. verfasserin aut Kumar, Ashish verfasserin aut Nagarajan, Srinivasan verfasserin aut Enthalten in International journal of pavement research & technology Springer Nature Singapore, 2008 17(2023), 5 vom: 22. Mai, Seite 1225-1238 (DE-627)634381512 (DE-600)2570928-8 1997-1400 nnns volume:17 year:2023 number:5 day:22 month:05 pages:1225-1238 https://dx.doi.org/10.1007/s42947-023-00297-9 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER 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_105 GBV_ILN_110 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_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_2008 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_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 56.24 VZ AR 17 2023 5 22 05 1225-1238 |
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10.1007/s42947-023-00297-9 doi (DE-627)SPR057281114 (SPR)s42947-023-00297-9-e DE-627 ger DE-627 rakwb eng 100 VZ 56.24 bkl Girish, Shilpa verfasserin (orcid)0000-0003-4546-2893 aut Evaluation of the Sensitivity of the MEPDG to Bottom-Up Fatigue Cracking in South Carolina 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2023. 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 The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design software. A combination of MEPDG input levels (Levels 1, 2, and 3) were used for pavement analysis based on the availability of data. The variables considered in this investigation included two-way average annual daily truck traffic (AADTT), asphalt mix type, climate station, subgrade type and resilient modulus, and aggregate base thickness. This study mainly focused on the bottom-up fatigue cracking, and individual pavement designs were evaluated to determine the asphalt concrete (AC) thickness for which the total bottom-up cracking was equal to 2% lane area after a 20-year design period. The results indicated that the asphalt mix type did not have significant impact on the pavement thickness. One of the five climate stations evaluated resulted in significantly thicker pavements than the others. Subgrade type, as well as resilient modulus, had a significant effect on the pavement thickness. Finally, pavements were more sensitive to total truck traffic changes at lower AADTT values and then became somewhat less sensitive when exposed to the highest levels of traffic. The results of this study could potentially be used to develop a preliminary asphalt thickness design catalog for interstate routes in South Carolina. Mechanistic-Empirical Pavement Design Guide (MEPDG) (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Pavement design (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 Putman, Bradley J. verfasserin aut Kumar, Ashish verfasserin aut Nagarajan, Srinivasan verfasserin aut Enthalten in International journal of pavement research & technology Springer Nature Singapore, 2008 17(2023), 5 vom: 22. Mai, Seite 1225-1238 (DE-627)634381512 (DE-600)2570928-8 1997-1400 nnns volume:17 year:2023 number:5 day:22 month:05 pages:1225-1238 https://dx.doi.org/10.1007/s42947-023-00297-9 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER 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_105 GBV_ILN_110 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_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_2008 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_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 56.24 VZ AR 17 2023 5 22 05 1225-1238 |
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10.1007/s42947-023-00297-9 doi (DE-627)SPR057281114 (SPR)s42947-023-00297-9-e DE-627 ger DE-627 rakwb eng 100 VZ 56.24 bkl Girish, Shilpa verfasserin (orcid)0000-0003-4546-2893 aut Evaluation of the Sensitivity of the MEPDG to Bottom-Up Fatigue Cracking in South Carolina 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2023. 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 The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design software. A combination of MEPDG input levels (Levels 1, 2, and 3) were used for pavement analysis based on the availability of data. The variables considered in this investigation included two-way average annual daily truck traffic (AADTT), asphalt mix type, climate station, subgrade type and resilient modulus, and aggregate base thickness. This study mainly focused on the bottom-up fatigue cracking, and individual pavement designs were evaluated to determine the asphalt concrete (AC) thickness for which the total bottom-up cracking was equal to 2% lane area after a 20-year design period. The results indicated that the asphalt mix type did not have significant impact on the pavement thickness. One of the five climate stations evaluated resulted in significantly thicker pavements than the others. Subgrade type, as well as resilient modulus, had a significant effect on the pavement thickness. Finally, pavements were more sensitive to total truck traffic changes at lower AADTT values and then became somewhat less sensitive when exposed to the highest levels of traffic. The results of this study could potentially be used to develop a preliminary asphalt thickness design catalog for interstate routes in South Carolina. Mechanistic-Empirical Pavement Design Guide (MEPDG) (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Pavement design (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 Putman, Bradley J. verfasserin aut Kumar, Ashish verfasserin aut Nagarajan, Srinivasan verfasserin aut Enthalten in International journal of pavement research & technology Springer Nature Singapore, 2008 17(2023), 5 vom: 22. Mai, Seite 1225-1238 (DE-627)634381512 (DE-600)2570928-8 1997-1400 nnns volume:17 year:2023 number:5 day:22 month:05 pages:1225-1238 https://dx.doi.org/10.1007/s42947-023-00297-9 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER 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_105 GBV_ILN_110 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_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_2008 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_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 56.24 VZ AR 17 2023 5 22 05 1225-1238 |
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10.1007/s42947-023-00297-9 doi (DE-627)SPR057281114 (SPR)s42947-023-00297-9-e DE-627 ger DE-627 rakwb eng 100 VZ 56.24 bkl Girish, Shilpa verfasserin (orcid)0000-0003-4546-2893 aut Evaluation of the Sensitivity of the MEPDG to Bottom-Up Fatigue Cracking in South Carolina 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2023. 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 The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design software. A combination of MEPDG input levels (Levels 1, 2, and 3) were used for pavement analysis based on the availability of data. The variables considered in this investigation included two-way average annual daily truck traffic (AADTT), asphalt mix type, climate station, subgrade type and resilient modulus, and aggregate base thickness. This study mainly focused on the bottom-up fatigue cracking, and individual pavement designs were evaluated to determine the asphalt concrete (AC) thickness for which the total bottom-up cracking was equal to 2% lane area after a 20-year design period. The results indicated that the asphalt mix type did not have significant impact on the pavement thickness. One of the five climate stations evaluated resulted in significantly thicker pavements than the others. Subgrade type, as well as resilient modulus, had a significant effect on the pavement thickness. Finally, pavements were more sensitive to total truck traffic changes at lower AADTT values and then became somewhat less sensitive when exposed to the highest levels of traffic. The results of this study could potentially be used to develop a preliminary asphalt thickness design catalog for interstate routes in South Carolina. Mechanistic-Empirical Pavement Design Guide (MEPDG) (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Pavement design (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 Putman, Bradley J. verfasserin aut Kumar, Ashish verfasserin aut Nagarajan, Srinivasan verfasserin aut Enthalten in International journal of pavement research & technology Springer Nature Singapore, 2008 17(2023), 5 vom: 22. Mai, Seite 1225-1238 (DE-627)634381512 (DE-600)2570928-8 1997-1400 nnns volume:17 year:2023 number:5 day:22 month:05 pages:1225-1238 https://dx.doi.org/10.1007/s42947-023-00297-9 X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER 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_105 GBV_ILN_110 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_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_2008 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_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 56.24 VZ AR 17 2023 5 22 05 1225-1238 |
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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.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design software. A combination of MEPDG input levels (Levels 1, 2, and 3) were used for pavement analysis based on the availability of data. The variables considered in this investigation included two-way average annual daily truck traffic (AADTT), asphalt mix type, climate station, subgrade type and resilient modulus, and aggregate base thickness. This study mainly focused on the bottom-up fatigue cracking, and individual pavement designs were evaluated to determine the asphalt concrete (AC) thickness for which the total bottom-up cracking was equal to 2% lane area after a 20-year design period. The results indicated that the asphalt mix type did not have significant impact on the pavement thickness. One of the five climate stations evaluated resulted in significantly thicker pavements than the others. Subgrade type, as well as resilient modulus, had a significant effect on the pavement thickness. Finally, pavements were more sensitive to total truck traffic changes at lower AADTT values and then became somewhat less sensitive when exposed to the highest levels of traffic. 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Girish, Shilpa ddc 100 bkl 56.24 misc Mechanistic-Empirical Pavement Design Guide (MEPDG) misc Sensitivity analysis misc Pavement design misc Flexible pavement Evaluation of the Sensitivity of the MEPDG to Bottom-Up Fatigue Cracking in South Carolina |
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100 VZ 56.24 bkl Evaluation of the Sensitivity of the MEPDG to Bottom-Up Fatigue Cracking in South Carolina Mechanistic-Empirical Pavement Design Guide (MEPDG) (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Pavement design (dpeaa)DE-He213 Flexible pavement (dpeaa)DE-He213 |
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evaluation of the sensitivity of the mepdg to bottom-up fatigue cracking in south carolina |
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Evaluation of the Sensitivity of the MEPDG to Bottom-Up Fatigue Cracking in South Carolina |
| abstract |
Abstract The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design software. A combination of MEPDG input levels (Levels 1, 2, and 3) were used for pavement analysis based on the availability of data. The variables considered in this investigation included two-way average annual daily truck traffic (AADTT), asphalt mix type, climate station, subgrade type and resilient modulus, and aggregate base thickness. This study mainly focused on the bottom-up fatigue cracking, and individual pavement designs were evaluated to determine the asphalt concrete (AC) thickness for which the total bottom-up cracking was equal to 2% lane area after a 20-year design period. The results indicated that the asphalt mix type did not have significant impact on the pavement thickness. One of the five climate stations evaluated resulted in significantly thicker pavements than the others. Subgrade type, as well as resilient modulus, had a significant effect on the pavement thickness. Finally, pavements were more sensitive to total truck traffic changes at lower AADTT values and then became somewhat less sensitive when exposed to the highest levels of traffic. The results of this study could potentially be used to develop a preliminary asphalt thickness design catalog for interstate routes in South Carolina. © The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2023. 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. |
| abstractGer |
Abstract The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design software. A combination of MEPDG input levels (Levels 1, 2, and 3) were used for pavement analysis based on the availability of data. The variables considered in this investigation included two-way average annual daily truck traffic (AADTT), asphalt mix type, climate station, subgrade type and resilient modulus, and aggregate base thickness. This study mainly focused on the bottom-up fatigue cracking, and individual pavement designs were evaluated to determine the asphalt concrete (AC) thickness for which the total bottom-up cracking was equal to 2% lane area after a 20-year design period. The results indicated that the asphalt mix type did not have significant impact on the pavement thickness. One of the five climate stations evaluated resulted in significantly thicker pavements than the others. Subgrade type, as well as resilient modulus, had a significant effect on the pavement thickness. Finally, pavements were more sensitive to total truck traffic changes at lower AADTT values and then became somewhat less sensitive when exposed to the highest levels of traffic. The results of this study could potentially be used to develop a preliminary asphalt thickness design catalog for interstate routes in South Carolina. © The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2023. 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 The objective of the study was to evaluate the sensitivity of different input variables on the flexible pavement design thickness of high-speed, high-traffic routes in South Carolina using the Mechanistic-Empirical Pavement Design Guide (MEPDG) by means of the AASHTOware Pavement ME design software. A combination of MEPDG input levels (Levels 1, 2, and 3) were used for pavement analysis based on the availability of data. The variables considered in this investigation included two-way average annual daily truck traffic (AADTT), asphalt mix type, climate station, subgrade type and resilient modulus, and aggregate base thickness. This study mainly focused on the bottom-up fatigue cracking, and individual pavement designs were evaluated to determine the asphalt concrete (AC) thickness for which the total bottom-up cracking was equal to 2% lane area after a 20-year design period. The results indicated that the asphalt mix type did not have significant impact on the pavement thickness. One of the five climate stations evaluated resulted in significantly thicker pavements than the others. Subgrade type, as well as resilient modulus, had a significant effect on the pavement thickness. Finally, pavements were more sensitive to total truck traffic changes at lower AADTT values and then became somewhat less sensitive when exposed to the highest levels of traffic. The results of this study could potentially be used to develop a preliminary asphalt thickness design catalog for interstate routes in South Carolina. © The Author(s), under exclusive licence to Chinese Society of Pavement Engineering 2023. 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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| title_short |
Evaluation of the Sensitivity of the MEPDG to Bottom-Up Fatigue Cracking in South Carolina |
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https://dx.doi.org/10.1007/s42947-023-00297-9 |
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Putman, Bradley J. Kumar, Ashish Nagarajan, Srinivasan |
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2024-09-11T04:48:46.198Z |
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| score |
7.401272 |