{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/127519"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/127519","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Development of the track structural capacity rating (TSCR) and example use case for low volume railroad track","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-12-01","abstract_has_math":false,"creators":["Rezende Alves, Vitor"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["Edwards, John Riley"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-12-12","date_published":"2024-12-12","updated_at":"2026-07-22T22:25:04Z","subjects":["Track Quality Index","Track Structure Index","Track Inspection","Track Health","Railway Safety"],"languages":["en","eng"],"rights":["Copyright 2024 Vitor Rezende Alves"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/127519","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Edwards, John Riley"]},{"key":"dc:creator","label":"Author","values":["Rezende Alves, Vitor"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-12-12","2024-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Track Quality Index","Track Structure Index","Track Inspection","Track Health","Railway Safety"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2024 Vitor Rezende Alves"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/127519"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-12-01","The student, Vitor Rezende Alves, accepted the attached license on 2024-12-11 at 14:34.","The student, Vitor Rezende Alves, submitted this Thesis for approval on 2024-12-11 at 14:38.","This Thesis was approved for publication on 2024-12-12 at 11:13.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21573 on 2025-03-28 at 14:57:10","Many indices have been developed to objectively quantify railroad track quality and condition. The two most common index classifications are the track geometry index (TGI), including parameters such as profile, twist, gauge, and alignment and the track structure index (TSI), which accounts for the condition of track structural components including the rail, crosstie, fastening systems, subgrade, and drainage systems. This separation fails to provide a comprehensive assessment of railroad track performance within a single metric. To reduce this gap and present a comprehensive metric, this thesis introduces the Track Structural Capacity Rating (TSCR). The TSCR is a holistic index that quantitatively evaluates track condition by integrating superstructure and substructure parameters according to the desired level of service for train operations. The components included within the TSCR were selected based on the primary causes of derailments in low-speed, low-volume operations that were determined by a review of accident data. The TSCR methodology is adaptable and can be tailored to suit other track use scenarios that support higher speed trains or have higher cumulative tonnage. By combining data on track geometry, component and substructure conditions, the TSCR is visualized through a color-coded map, enabling the identification of regions requiring maintenance for both short- and long-term operational strategies. The TSCR index and methodology for objectively quantifying track capacity for transporting loads can enhance track operational capability by facilitating improved maintenance planning and resource allocation."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Development of the track structural capacity rating (TSCR) and example use case for low volume railroad track"]}]}],"canonical_facts":{"dc:contributor":["Edwards, John Riley"],"dc:creator":["Rezende Alves, Vitor"],"dc:date":["2024-12-12","2024-12"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-12-01","The student, Vitor Rezende Alves, accepted the attached license on 2024-12-11 at 14:34.","The student, Vitor Rezende Alves, submitted this Thesis for approval on 2024-12-11 at 14:38.","This Thesis was approved for publication on 2024-12-12 at 11:13.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21573 on 2025-03-28 at 14:57:10","Many indices have been developed to objectively quantify railroad track quality and condition. The two most common index classifications are the track geometry index (TGI), including parameters such as profile, twist, gauge, and alignment and the track structure index (TSI), which accounts for the condition of track structural components including the rail, crosstie, fastening systems, subgrade, and drainage systems. This separation fails to provide a comprehensive assessment of railroad track performance within a single metric. To reduce this gap and present a comprehensive metric, this thesis introduces the Track Structural Capacity Rating (TSCR). The TSCR is a holistic index that quantitatively evaluates track condition by integrating superstructure and substructure parameters according to the desired level of service for train operations. The components included within the TSCR were selected based on the primary causes of derailments in low-speed, low-volume operations that were determined by a review of accident data. The TSCR methodology is adaptable and can be tailored to suit other track use scenarios that support higher speed trains or have higher cumulative tonnage. By combining data on track geometry, component and substructure conditions, the TSCR is visualized through a color-coded map, enabling the identification of regions requiring maintenance for both short- and long-term operational strategies. The TSCR index and methodology for objectively quantifying track capacity for transporting loads can enhance track operational capability by facilitating improved maintenance planning and resource allocation."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/127519"],"dc:language":["en","eng"],"dc:rights":["Copyright 2024 Vitor Rezende Alves"],"dc:subject":["Track Quality Index","Track Structure Index","Track Inspection","Track Health","Railway Safety"],"dc:title":["Development of the track structural capacity rating (TSCR) and example use case for low volume railroad track"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Civil Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:04Z"}