Development of Rail-Condition Assessment Model Using Ultrasonic Technique

AbstractOptimized and cost-effective railway track repair and maintenance planning requires periodic evaluation of railway track performance for which a track condition index is necessary. In particular, rail internal defects have not been sufficiently considered in the currently used rail quality i...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of transportation engineering, Part A Part A, 2020-08, Vol.146 (8)
Hauptverfasser: Sadeghi, Javad, Rahimizadeh, Yousef, Khajehdezfuly, Amin, Rezaee, Mohammad, Rajaei Najafabadi, Esmaeil
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 8
container_start_page
container_title Journal of transportation engineering, Part A
container_volume 146
creator Sadeghi, Javad
Rahimizadeh, Yousef
Khajehdezfuly, Amin
Rezaee, Mohammad
Rajaei Najafabadi, Esmaeil
description AbstractOptimized and cost-effective railway track repair and maintenance planning requires periodic evaluation of railway track performance for which a track condition index is necessary. In particular, rail internal defects have not been sufficiently considered in the currently used rail quality indices, although they have been frequently reported as the main causes of railway derailments. This study is devoted to develop a new rail condition index which takes into account rail surface/visual defects as well as all reported internal defects for the first time. The index is based on data obtained from visual and automated measurements using an ultrasonic technique. The results obtained indicate that the consideration of rail internal defects in the evaluation of rail conditions has a considerable effect on the accuracy of rail quality predictions. It was shown that the new assessment model can considerably improve track safety by providing more precise repair strategies.
doi_str_mv 10.1061/JTEPBS.0000390
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2408743582</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2408743582</sourcerecordid><originalsourceid>FETCH-LOGICAL-a384t-f1ee2c74ea16c5e660cf5d0373426b0e60e0e94e7ee6158f670ff14abc597d933</originalsourceid><addsrcrecordid>eNp1kEFLAzEQhYMoWGqvnhc8ytZkk002x1qrViqKtueQZieask1qshX8966u4sm5zMB87z14CJ0SPCaYk4u75ezx8nmMu6ESH6BBwQTNi0rSw99bYnGMRiltOoaIipZCDtD8Ct6hCbst-DYLNnvSrsmnwdeudcFnk5Qgpe_nfaihyVbJ-Zds1bRRp-CdyZZgXr1728MJOrK6STD62UO0up4tp7f54uFmPp0sck0r1uaWABRGMNCEmxI4x8aWNaaCsoKvMXAMGCQDAcBJWVkusLWE6bUppaglpUN01vvuYuhiU6s2YR99F6kKhivBaFkVHTXuKRNDShGs2kW31fFDEay-GlN9Y-qnsU5w3gt0MvBn-Q_9CcpBa0g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2408743582</pqid></control><display><type>article</type><title>Development of Rail-Condition Assessment Model Using Ultrasonic Technique</title><source>ASCE All titles</source><creator>Sadeghi, Javad ; Rahimizadeh, Yousef ; Khajehdezfuly, Amin ; Rezaee, Mohammad ; Rajaei Najafabadi, Esmaeil</creator><creatorcontrib>Sadeghi, Javad ; Rahimizadeh, Yousef ; Khajehdezfuly, Amin ; Rezaee, Mohammad ; Rajaei Najafabadi, Esmaeil</creatorcontrib><description>AbstractOptimized and cost-effective railway track repair and maintenance planning requires periodic evaluation of railway track performance for which a track condition index is necessary. In particular, rail internal defects have not been sufficiently considered in the currently used rail quality indices, although they have been frequently reported as the main causes of railway derailments. This study is devoted to develop a new rail condition index which takes into account rail surface/visual defects as well as all reported internal defects for the first time. The index is based on data obtained from visual and automated measurements using an ultrasonic technique. The results obtained indicate that the consideration of rail internal defects in the evaluation of rail conditions has a considerable effect on the accuracy of rail quality predictions. It was shown that the new assessment model can considerably improve track safety by providing more precise repair strategies.</description><identifier>ISSN: 2473-2907</identifier><identifier>EISSN: 2473-2893</identifier><identifier>DOI: 10.1061/JTEPBS.0000390</identifier><language>eng</language><publisher>Reston: American Society of Civil Engineers</publisher><subject>Defects ; Derailments ; Railway engineering ; Railway tracks ; Repair ; Technical Papers ; Ultrasonic methods</subject><ispartof>Journal of transportation engineering, Part A, 2020-08, Vol.146 (8)</ispartof><rights>2020 American Society of Civil Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a384t-f1ee2c74ea16c5e660cf5d0373426b0e60e0e94e7ee6158f670ff14abc597d933</citedby><cites>FETCH-LOGICAL-a384t-f1ee2c74ea16c5e660cf5d0373426b0e60e0e94e7ee6158f670ff14abc597d933</cites><orcidid>0000-0002-3321-2523</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000390$$EPDF$$P50$$Gasce$$H</linktopdf><linktohtml>$$Uhttp://ascelibrary.org/doi/abs/10.1061/JTEPBS.0000390$$EHTML$$P50$$Gasce$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,75942,75950</link.rule.ids></links><search><creatorcontrib>Sadeghi, Javad</creatorcontrib><creatorcontrib>Rahimizadeh, Yousef</creatorcontrib><creatorcontrib>Khajehdezfuly, Amin</creatorcontrib><creatorcontrib>Rezaee, Mohammad</creatorcontrib><creatorcontrib>Rajaei Najafabadi, Esmaeil</creatorcontrib><title>Development of Rail-Condition Assessment Model Using Ultrasonic Technique</title><title>Journal of transportation engineering, Part A</title><description>AbstractOptimized and cost-effective railway track repair and maintenance planning requires periodic evaluation of railway track performance for which a track condition index is necessary. In particular, rail internal defects have not been sufficiently considered in the currently used rail quality indices, although they have been frequently reported as the main causes of railway derailments. This study is devoted to develop a new rail condition index which takes into account rail surface/visual defects as well as all reported internal defects for the first time. The index is based on data obtained from visual and automated measurements using an ultrasonic technique. The results obtained indicate that the consideration of rail internal defects in the evaluation of rail conditions has a considerable effect on the accuracy of rail quality predictions. It was shown that the new assessment model can considerably improve track safety by providing more precise repair strategies.</description><subject>Defects</subject><subject>Derailments</subject><subject>Railway engineering</subject><subject>Railway tracks</subject><subject>Repair</subject><subject>Technical Papers</subject><subject>Ultrasonic methods</subject><issn>2473-2907</issn><issn>2473-2893</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kEFLAzEQhYMoWGqvnhc8ytZkk002x1qrViqKtueQZieask1qshX8966u4sm5zMB87z14CJ0SPCaYk4u75ezx8nmMu6ESH6BBwQTNi0rSw99bYnGMRiltOoaIipZCDtD8Ct6hCbst-DYLNnvSrsmnwdeudcFnk5Qgpe_nfaihyVbJ-Zds1bRRp-CdyZZgXr1728MJOrK6STD62UO0up4tp7f54uFmPp0sck0r1uaWABRGMNCEmxI4x8aWNaaCsoKvMXAMGCQDAcBJWVkusLWE6bUppaglpUN01vvuYuhiU6s2YR99F6kKhivBaFkVHTXuKRNDShGs2kW31fFDEay-GlN9Y-qnsU5w3gt0MvBn-Q_9CcpBa0g</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Sadeghi, Javad</creator><creator>Rahimizadeh, Yousef</creator><creator>Khajehdezfuly, Amin</creator><creator>Rezaee, Mohammad</creator><creator>Rajaei Najafabadi, Esmaeil</creator><general>American Society of Civil Engineers</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0002-3321-2523</orcidid></search><sort><creationdate>20200801</creationdate><title>Development of Rail-Condition Assessment Model Using Ultrasonic Technique</title><author>Sadeghi, Javad ; Rahimizadeh, Yousef ; Khajehdezfuly, Amin ; Rezaee, Mohammad ; Rajaei Najafabadi, Esmaeil</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a384t-f1ee2c74ea16c5e660cf5d0373426b0e60e0e94e7ee6158f670ff14abc597d933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Defects</topic><topic>Derailments</topic><topic>Railway engineering</topic><topic>Railway tracks</topic><topic>Repair</topic><topic>Technical Papers</topic><topic>Ultrasonic methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sadeghi, Javad</creatorcontrib><creatorcontrib>Rahimizadeh, Yousef</creatorcontrib><creatorcontrib>Khajehdezfuly, Amin</creatorcontrib><creatorcontrib>Rezaee, Mohammad</creatorcontrib><creatorcontrib>Rajaei Najafabadi, Esmaeil</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of transportation engineering, Part A</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sadeghi, Javad</au><au>Rahimizadeh, Yousef</au><au>Khajehdezfuly, Amin</au><au>Rezaee, Mohammad</au><au>Rajaei Najafabadi, Esmaeil</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of Rail-Condition Assessment Model Using Ultrasonic Technique</atitle><jtitle>Journal of transportation engineering, Part A</jtitle><date>2020-08-01</date><risdate>2020</risdate><volume>146</volume><issue>8</issue><issn>2473-2907</issn><eissn>2473-2893</eissn><abstract>AbstractOptimized and cost-effective railway track repair and maintenance planning requires periodic evaluation of railway track performance for which a track condition index is necessary. In particular, rail internal defects have not been sufficiently considered in the currently used rail quality indices, although they have been frequently reported as the main causes of railway derailments. This study is devoted to develop a new rail condition index which takes into account rail surface/visual defects as well as all reported internal defects for the first time. The index is based on data obtained from visual and automated measurements using an ultrasonic technique. The results obtained indicate that the consideration of rail internal defects in the evaluation of rail conditions has a considerable effect on the accuracy of rail quality predictions. It was shown that the new assessment model can considerably improve track safety by providing more precise repair strategies.</abstract><cop>Reston</cop><pub>American Society of Civil Engineers</pub><doi>10.1061/JTEPBS.0000390</doi><orcidid>https://orcid.org/0000-0002-3321-2523</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2473-2907
ispartof Journal of transportation engineering, Part A, 2020-08, Vol.146 (8)
issn 2473-2907
2473-2893
language eng
recordid cdi_proquest_journals_2408743582
source ASCE All titles
subjects Defects
Derailments
Railway engineering
Railway tracks
Repair
Technical Papers
Ultrasonic methods
title Development of Rail-Condition Assessment Model Using Ultrasonic Technique
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T04%3A34%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Development%20of%20Rail-Condition%20Assessment%20Model%20Using%20Ultrasonic%20Technique&rft.jtitle=Journal%20of%20transportation%20engineering,%20Part%20A&rft.au=Sadeghi,%20Javad&rft.date=2020-08-01&rft.volume=146&rft.issue=8&rft.issn=2473-2907&rft.eissn=2473-2893&rft_id=info:doi/10.1061/JTEPBS.0000390&rft_dat=%3Cproquest_cross%3E2408743582%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2408743582&rft_id=info:pmid/&rfr_iscdi=true