{"id":{"repo_id":"umn","oai_identifier":"oai:conservancy.umn.edu:11299/162544"},"canonical_url":"https://search.dev.ndltd.org/etd/umn/oai:conservancy.umn.edu:11299/162544","repository":{"repo_id":"umn","name":"University of Minnesota","base_url":"https://conservancy.umn.edu/server/oai/request"},"display":{"title":"Evaluation of In-Situ variability of concrete pavement characteristics and their effect on performance","abstract":"Pavement performance prediction must account for uncertainties in pavement characteristics, climate, traffic loading, etc. Past research identified that concrete thickness and flexural strength were two pavement characteristics that significantly affected transverse cracking in Jointed Plain Concrete Pavements (JPCP). This dissertation concentrated on quantifying the effect of concrete thickness variability and, to a lesser extent, flexural strength variability on the reliability analysis of jointed plain concrete pavement (JPCP) performance. Concrete thickness is typically assessed by measuring the length of concrete cores, but this procedure limits the amount of information collected. The possibility of using non-destructive testing to assess concrete thickness was evaluated and significant efforts were dedicated to quantification of the variability of constructed pavement concrete thickness and determination of requirements for thickness sampling spacing using autocorrelation concepts. The Mechanistic Empirical Pavement Design Guide (MEPDG) is a tool used to evaluate the performance of JPCP, which predicts pavement distresses based on a desired reliability of design. MEPDG's current reliability analysis does not allow the MEPDG to quantify the effect of improved material characterization prior to design or the effect of quality control on pavement performance. In this study, a method to account for pavement characteristic variability in the reliability analysis is presented and evaluated the measured variability of rigid pavement concrete thickness and flexural strength.","abstract_html":"Pavement performance prediction must account for uncertainties in pavement characteristics, climate, traffic loading, etc. Past research identified that concrete thickness and flexural strength were two pavement characteristics that significantly affected transverse cracking in Jointed Plain Concrete Pavements (JPCP). This dissertation concentrated on quantifying the effect of concrete thickness variability and, to a lesser extent, flexural strength variability on the reliability analysis of jointed plain concrete pavement (JPCP) performance. Concrete thickness is typically assessed by measuring the length of concrete cores, but this procedure limits the amount of information collected. The possibility of using non-destructive testing to assess concrete thickness was evaluated and significant efforts were dedicated to quantification of the variability of constructed pavement concrete thickness and determination of requirements for thickness sampling spacing using autocorrelation concepts. The Mechanistic Empirical Pavement Design Guide (MEPDG) is a tool used to evaluate the performance of JPCP, which predicts pavement distresses based on a desired reliability of design. MEPDG's current reliability analysis does not allow the MEPDG to quantify the effect of improved material characterization prior to design or the effect of quality control on pavement performance. In this study, a method to account for pavement characteristic variability in the reliability analysis is presented and evaluated the measured variability of rigid pavement concrete thickness and flexural strength.","abstract_has_math":false,"creators":["Vancura, Mary Elizabeth"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-12","date_published":"2013-12","updated_at":"2026-07-24T05:19:58Z","subjects":["Autocorrelation function","MEPDG","Non-destructive Testing","Rigid Pavements","Sample Spacing","Variogram"],"languages":["en_US"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11299/162544","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Vancura, Mary Elizabeth"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-02-17T19:14:35Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-02-17T19:14:35Z"]},{"key":"dc:date.issued","label":"Date","values":["2013-12"]},{"key":"dc:type","label":"Dc Type","values":["Thesis or Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Autocorrelation function","MEPDG","Non-destructive Testing","Rigid Pavements","Sample Spacing","Variogram"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11299/162544"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["University of Minnesota Ph.D. dissertation. December 2013. Major: Civil Engineering. Advisor: Lev Khazanovich. 1 computer file (PDF); viii, 138 pages, appendices A-B."]},{"key":"dc:description.abstract","label":"Abstract","values":["Pavement performance prediction must account for uncertainties in pavement characteristics, climate, traffic loading, etc. Past research identified that concrete thickness and flexural strength were two pavement characteristics that significantly affected transverse cracking in Jointed Plain Concrete Pavements (JPCP). This dissertation concentrated on quantifying the effect of concrete thickness variability and, to a lesser extent, flexural strength variability on the reliability analysis of jointed plain concrete pavement (JPCP) performance. Concrete thickness is typically assessed by measuring the length of concrete cores, but this procedure limits the amount of information collected. The possibility of using non-destructive testing to assess concrete thickness was evaluated and significant efforts were dedicated to quantification of the variability of constructed pavement concrete thickness and determination of requirements for thickness sampling spacing using autocorrelation concepts. The Mechanistic Empirical Pavement Design Guide (MEPDG) is a tool used to evaluate the performance of JPCP, which predicts pavement distresses based on a desired reliability of design. MEPDG's current reliability analysis does not allow the MEPDG to quantify the effect of improved material characterization prior to design or the effect of quality control on pavement performance. In this study, a method to account for pavement characteristic variability in the reliability analysis is presented and evaluated the measured variability of rigid pavement concrete thickness and flexural strength."]},{"key":"dc:title","label":"Title","values":["Evaluation of In-Situ variability of concrete pavement characteristics and their effect on performance"]}]}],"canonical_facts":{"dc:creator":["Vancura, Mary Elizabeth"],"dc:date.accessioned":["2014-02-17T19:14:35Z"],"dc:date.available":["2014-02-17T19:14:35Z"],"dc:date.issued":["2013-12"],"dc:description":["University of Minnesota Ph.D. dissertation. December 2013. Major: Civil Engineering. Advisor: Lev Khazanovich. 1 computer file (PDF); viii, 138 pages, appendices A-B."],"dc:description.abstract":["Pavement performance prediction must account for uncertainties in pavement characteristics, climate, traffic loading, etc. Past research identified that concrete thickness and flexural strength were two pavement characteristics that significantly affected transverse cracking in Jointed Plain Concrete Pavements (JPCP). This dissertation concentrated on quantifying the effect of concrete thickness variability and, to a lesser extent, flexural strength variability on the reliability analysis of jointed plain concrete pavement (JPCP) performance. Concrete thickness is typically assessed by measuring the length of concrete cores, but this procedure limits the amount of information collected. The possibility of using non-destructive testing to assess concrete thickness was evaluated and significant efforts were dedicated to quantification of the variability of constructed pavement concrete thickness and determination of requirements for thickness sampling spacing using autocorrelation concepts. The Mechanistic Empirical Pavement Design Guide (MEPDG) is a tool used to evaluate the performance of JPCP, which predicts pavement distresses based on a desired reliability of design. MEPDG's current reliability analysis does not allow the MEPDG to quantify the effect of improved material characterization prior to design or the effect of quality control on pavement performance. In this study, a method to account for pavement characteristic variability in the reliability analysis is presented and evaluated the measured variability of rigid pavement concrete thickness and flexural strength."],"dc:identifier.uri":["http://hdl.handle.net/11299/162544"],"dc:language.iso":["en_US"],"dc:subject":["Autocorrelation function","MEPDG","Non-destructive Testing","Rigid Pavements","Sample Spacing","Variogram"],"dc:title":["Evaluation of In-Situ variability of concrete pavement characteristics and their effect on performance"],"dc:type":["Thesis or Dissertation"]},"updated_at":"2026-07-24T05:19:58Z"}