Mathematical-statistical model for predicting the tendency of the mechanical integrity of a buried pipeline

This paper is intended to use a process model stochastic renewal to analyze the disintegration of the pipeline due to the time of use and service conditions, classifying the pipeline into segments according to the conditions to which it is exposed (temperatures, pressures, speed flow, environmental...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of physics. Conference series 2016-02, Vol.687 (1), p.12003
Hauptverfasser: Aponte Betancur, H, vera Lopez, E, Pineda Triana, Y
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page 12003
container_title Journal of physics. Conference series
container_volume 687
creator Aponte Betancur, H
vera Lopez, E
Pineda Triana, Y
description This paper is intended to use a process model stochastic renewal to analyze the disintegration of the pipeline due to the time of use and service conditions, classifying the pipeline into segments according to the conditions to which it is exposed (temperatures, pressures, speed flow, environmental conditions, etc.). The model will determine the material wear over time, periods of renewal of the material and life chances at any time.
doi_str_mv 10.1088/1742-6596/687/1/012003
format Article
fullrecord <record><control><sourceid>proquest_iop_j</sourceid><recordid>TN_cdi_proquest_journals_2575037401</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2575037401</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3283-911d5681038ef5940d82e2ab7dc6a502b623ae650b4f4ac9fa6628eaf822f6e3</originalsourceid><addsrcrecordid>eNqFkE9LxDAQxYMouK5-BQl48lCbpG2aHmXxLysK7j2kzWQ3a7etafaw395sKyuC4FzmDfN7M_AQuqTkhhIhYpqnLOJZwWMu8pjGhDJCkiM0OSyOD1qIU3TW9-sAhMon6ONF-RVslLeVqqPeB9EPGm9aDTU2rcOdA20rb5slDiz20Ghoqh1uzTBvoFqpZvDYxsPSWT_sFC63zoLGne2gtg2coxOj6h4uvvsULe7vFrPHaP768DS7nUdVwkQSFZTqjAtKEgEmK1KiBQOmylxXXGWElZwlCnhGytSkqiqM4pwJUEYwZjgkU3Q1nu1c-7mF3st1u3VN-ChZlmckyVNCA8VHqnJt3zswsnN2o9xOUiL3ucp9ZHIfnwy5SirHXIPxejTatvu5_Pw2e__FyU6bwLI_2H8efAG0l4hn</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2575037401</pqid></control><display><type>article</type><title>Mathematical-statistical model for predicting the tendency of the mechanical integrity of a buried pipeline</title><source>IOP Publishing Free Content</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>IOPscience extra</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Aponte Betancur, H ; vera Lopez, E ; Pineda Triana, Y</creator><creatorcontrib>Aponte Betancur, H ; vera Lopez, E ; Pineda Triana, Y</creatorcontrib><description>This paper is intended to use a process model stochastic renewal to analyze the disintegration of the pipeline due to the time of use and service conditions, classifying the pipeline into segments according to the conditions to which it is exposed (temperatures, pressures, speed flow, environmental conditions, etc.). The model will determine the material wear over time, periods of renewal of the material and life chances at any time.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/687/1/012003</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Buried pipes ; Disintegration ; Physics ; Pipelines ; Statistical models ; Time of use</subject><ispartof>Journal of physics. Conference series, 2016-02, Vol.687 (1), p.12003</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2016. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1742-6596/687/1/012003/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,776,780,27903,27904,38847,38869,53818,53845</link.rule.ids></links><search><creatorcontrib>Aponte Betancur, H</creatorcontrib><creatorcontrib>vera Lopez, E</creatorcontrib><creatorcontrib>Pineda Triana, Y</creatorcontrib><title>Mathematical-statistical model for predicting the tendency of the mechanical integrity of a buried pipeline</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>This paper is intended to use a process model stochastic renewal to analyze the disintegration of the pipeline due to the time of use and service conditions, classifying the pipeline into segments according to the conditions to which it is exposed (temperatures, pressures, speed flow, environmental conditions, etc.). The model will determine the material wear over time, periods of renewal of the material and life chances at any time.</description><subject>Buried pipes</subject><subject>Disintegration</subject><subject>Physics</subject><subject>Pipelines</subject><subject>Statistical models</subject><subject>Time of use</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkE9LxDAQxYMouK5-BQl48lCbpG2aHmXxLysK7j2kzWQ3a7etafaw395sKyuC4FzmDfN7M_AQuqTkhhIhYpqnLOJZwWMu8pjGhDJCkiM0OSyOD1qIU3TW9-sAhMon6ONF-RVslLeVqqPeB9EPGm9aDTU2rcOdA20rb5slDiz20Ghoqh1uzTBvoFqpZvDYxsPSWT_sFC63zoLGne2gtg2coxOj6h4uvvsULe7vFrPHaP768DS7nUdVwkQSFZTqjAtKEgEmK1KiBQOmylxXXGWElZwlCnhGytSkqiqM4pwJUEYwZjgkU3Q1nu1c-7mF3st1u3VN-ChZlmckyVNCA8VHqnJt3zswsnN2o9xOUiL3ucp9ZHIfnwy5SirHXIPxejTatvu5_Pw2e__FyU6bwLI_2H8efAG0l4hn</recordid><startdate>20160201</startdate><enddate>20160201</enddate><creator>Aponte Betancur, H</creator><creator>vera Lopez, E</creator><creator>Pineda Triana, Y</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20160201</creationdate><title>Mathematical-statistical model for predicting the tendency of the mechanical integrity of a buried pipeline</title><author>Aponte Betancur, H ; vera Lopez, E ; Pineda Triana, Y</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3283-911d5681038ef5940d82e2ab7dc6a502b623ae650b4f4ac9fa6628eaf822f6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Buried pipes</topic><topic>Disintegration</topic><topic>Physics</topic><topic>Pipelines</topic><topic>Statistical models</topic><topic>Time of use</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aponte Betancur, H</creatorcontrib><creatorcontrib>vera Lopez, E</creatorcontrib><creatorcontrib>Pineda Triana, Y</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aponte Betancur, H</au><au>vera Lopez, E</au><au>Pineda Triana, Y</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mathematical-statistical model for predicting the tendency of the mechanical integrity of a buried pipeline</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2016-02-01</date><risdate>2016</risdate><volume>687</volume><issue>1</issue><spage>12003</spage><pages>12003-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>This paper is intended to use a process model stochastic renewal to analyze the disintegration of the pipeline due to the time of use and service conditions, classifying the pipeline into segments according to the conditions to which it is exposed (temperatures, pressures, speed flow, environmental conditions, etc.). The model will determine the material wear over time, periods of renewal of the material and life chances at any time.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/687/1/012003</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1742-6588
ispartof Journal of physics. Conference series, 2016-02, Vol.687 (1), p.12003
issn 1742-6588
1742-6596
language eng
recordid cdi_proquest_journals_2575037401
source IOP Publishing Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; IOPscience extra; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry
subjects Buried pipes
Disintegration
Physics
Pipelines
Statistical models
Time of use
title Mathematical-statistical model for predicting the tendency of the mechanical integrity of a buried pipeline
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T00%3A33%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_iop_j&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mathematical-statistical%20model%20for%20predicting%20the%20tendency%20of%20the%20mechanical%20integrity%20of%20a%20buried%20pipeline&rft.jtitle=Journal%20of%20physics.%20Conference%20series&rft.au=Aponte%20Betancur,%20H&rft.date=2016-02-01&rft.volume=687&rft.issue=1&rft.spage=12003&rft.pages=12003-&rft.issn=1742-6588&rft.eissn=1742-6596&rft_id=info:doi/10.1088/1742-6596/687/1/012003&rft_dat=%3Cproquest_iop_j%3E2575037401%3C/proquest_iop_j%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2575037401&rft_id=info:pmid/&rfr_iscdi=true