{"id":{"repo_id":"rowan","oai_identifier":"oai:rdw.rowan.edu:etd-1532"},"canonical_url":"https://search.dev.ndltd.org/etd/rowan/oai:rdw.rowan.edu:etd-1532","repository":{"repo_id":"rowan","name":"Rowan University","base_url":"https://rdw.rowan.edu/do/oai/"},"display":{"title":"Developing pavement preservation and mitigation strategies using Pavement ME design guide for Rhode Island DOT","abstract":"The objective of the study is to develop pavement preservation strategies using Pavement ME. The International Roughness Index (IRI), Longitudinal Cracking, and Permanent Deformation (Rutting) in both the asphalt layer and the total structure were predicted using Pavement ME to determine the sensitivity of flexible pavement performance with varying pavement parameters, such as thickness of the surface and existing hot mix asphalt (HMA) layers, traffic volume, binder grade of the surface HMA layer and the base layer modulus. The surface HMA layer thickness and traffic volume were significant at 95% confidence level for both types of rutting and terminal IRI. The existing HMA layer thickness was significant for all four distresses. All five properties were significant with a 90% confidence level for terminal IRI. Performance curves were developed using the pavement management scoring system for the overall pavement and individual distresses. Two traffic distributions were identified from the weigh-in-motion stations for this analysis. The first distribution had a 22% higher concentration of Class 9 trucks and the second distribution had over 80% of Class 5 trucks. The crack seal and stress absorbing membrane interlayer alternatives were the most cost effective in all cases. Chip Seal was cost effective for the three and five layer structures with the Class 9 heavy truck distribution and with four layer structure for the Class 5 heavy truck distribution.","abstract_html":"The objective of the study is to develop pavement preservation strategies using Pavement ME. The International Roughness Index (IRI), Longitudinal Cracking, and Permanent Deformation (Rutting) in both the asphalt layer and the total structure were predicted using Pavement ME to determine the sensitivity of flexible pavement performance with varying pavement parameters, such as thickness of the surface and existing hot mix asphalt (HMA) layers, traffic volume, binder grade of the surface HMA layer and the base layer modulus. The surface HMA layer thickness and traffic volume were significant at 95% confidence level for both types of rutting and terminal IRI. The existing HMA layer thickness was significant for all four distresses. All five properties were significant with a 90% confidence level for terminal IRI. Performance curves were developed using the pavement management scoring system for the overall pavement and individual distresses. Two traffic distributions were identified from the weigh-in-motion stations for this analysis. The first distribution had a 22% higher concentration of Class 9 trucks and the second distribution had over 80% of Class 5 trucks. The crack seal and stress absorbing membrane interlayer alternatives were the most cost effective in all cases. Chip Seal was cost effective for the three and five layer structures with the Class 9 heavy truck distribution and with four layer structure for the Class 5 heavy truck distribution.","abstract_has_math":false,"creators":["Coffey, Sean"],"institution":null,"degree_name":"M.S. Civil and Environmental Engineering","degree_level":"Thesis","degree_discipline":"Civil and Environmental Engineering","degree_department":null,"school":null,"contributors":["Mehta, Yusuf"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-09-04T07:00:00Z","date_published":"2014-09-04T07:00:00Z","updated_at":"2026-07-24T04:13:15Z","subjects":["Pavements, Asphalt; Roads--Design and construction","Civil and Environmental Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://rdw.rowan.edu/etd/533","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Mehta, Yusuf"]},{"key":"dc:creator","label":"Author","values":["Coffey, Sean"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2020-03-03T19:59:17Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil and Environmental Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S. 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The International Roughness Index (IRI), Longitudinal Cracking, and Permanent Deformation (Rutting) in both the asphalt layer and the total structure were predicted using Pavement ME to determine the sensitivity of flexible pavement performance with varying pavement parameters, such as thickness of the surface and existing hot mix asphalt (HMA) layers, traffic volume, binder grade of the surface HMA layer and the base layer modulus. The surface HMA layer thickness and traffic volume were significant at 95% confidence level for both types of rutting and terminal IRI. The existing HMA layer thickness was significant for all four distresses. All five properties were significant with a 90% confidence level for terminal IRI. Performance curves were developed using the pavement management scoring system for the overall pavement and individual distresses. Two traffic distributions were identified from the weigh-in-motion stations for this analysis. The first distribution had a 22% higher concentration of Class 9 trucks and the second distribution had over 80% of Class 5 trucks. The crack seal and stress absorbing membrane interlayer alternatives were the most cost effective in all cases. Chip Seal was cost effective for the three and five layer structures with the Class 9 heavy truck distribution and with four layer structure for the Class 5 heavy truck distribution."]},{"key":"dc:title","label":"Title","values":["Developing pavement preservation and mitigation strategies using Pavement ME design guide for Rhode Island DOT"]}]}],"canonical_facts":{"dc:contributor":["Mehta, Yusuf"],"dc:creator":["Coffey, Sean"],"dc:date.available":["2020-03-03T19:59:17Z"],"dc:description.abstract":["The objective of the study is to develop pavement preservation strategies using Pavement ME. The International Roughness Index (IRI), Longitudinal Cracking, and Permanent Deformation (Rutting) in both the asphalt layer and the total structure were predicted using Pavement ME to determine the sensitivity of flexible pavement performance with varying pavement parameters, such as thickness of the surface and existing hot mix asphalt (HMA) layers, traffic volume, binder grade of the surface HMA layer and the base layer modulus. The surface HMA layer thickness and traffic volume were significant at 95% confidence level for both types of rutting and terminal IRI. The existing HMA layer thickness was significant for all four distresses. All five properties were significant with a 90% confidence level for terminal IRI. Performance curves were developed using the pavement management scoring system for the overall pavement and individual distresses. Two traffic distributions were identified from the weigh-in-motion stations for this analysis. The first distribution had a 22% higher concentration of Class 9 trucks and the second distribution had over 80% of Class 5 trucks. The crack seal and stress absorbing membrane interlayer alternatives were the most cost effective in all cases. Chip Seal was cost effective for the three and five layer structures with the Class 9 heavy truck distribution and with four layer structure for the Class 5 heavy truck distribution."],"dc:identifier":["https://rdw.rowan.edu/etd/533"],"dc:subject":["Pavements, Asphalt; Roads--Design and construction","Civil and Environmental Engineering"],"dc:title":["Developing pavement preservation and mitigation strategies using Pavement ME design guide for Rhode Island DOT"],"thesis:degree_discipline":["Civil and Environmental Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S. Civil and Environmental Engineering"]},"updated_at":"2026-07-24T04:13:15Z"}