The potential of using performance information in the assessment of existing quay walls
The design of new and assessment of existing quay walls is subject to large uncertainties. Dealing with these uncertainties is a crucial part of the engineering process. The way uncertainties are addressed has a large impact on construction and maintenance costs and on the reliability ultimately obt...
Gespeichert in:
Veröffentlicht in: | IOP conference series. Materials Science and Engineering 2019-10, Vol.615 (1), p.12050 |
---|---|
Hauptverfasser: | , , , |
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 | 12050 |
container_title | IOP conference series. Materials Science and Engineering |
container_volume | 615 |
creator | den Adel, N de Gijt, J G Wolters, H J Schweckendiek, T |
description | The design of new and assessment of existing quay walls is subject to large uncertainties. Dealing with these uncertainties is a crucial part of the engineering process. The way uncertainties are addressed has a large impact on construction and maintenance costs and on the reliability ultimately obtained. Especially in the assessment of existing structures the uncertainties can be large. An existing structure allows us to use actual performance information in the assessment, such as the structural response to loading. One way to obtain the structural response is test loading assisted by monitoring. In this research Bayesian updating is used to reduce uncertainties and to more effectively use the obtained measurement data. We present a case study of an existing quay structure along with fictitious measurement data to demonstrate the potential effects of test loading on the reliability of the structure. The results show that Bayesian updating successfully reduces the uncertainty (i.e. standard deviation) of the model prediction. Using monitoring data and Bayesian updating provides a more realistic model of the capacity of the existing quay structure and thus a more accurate reliability assessment. Which may lead to extension of the structure's lifetime or that higher loads can be accepted. |
doi_str_mv | 10.1088/1757-899X/615/1/012050 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2561256717</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2561256717</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3700-120d23598d1b811713082980b3759ec03d4b4aa00fa994eab82f6b2dad9c18203</originalsourceid><addsrcrecordid>eNqFkEtLxDAUhYMoOI7-BSm4cTP23vSRZCnD-IARF47oLqRtqh06TSdp0fn3plYUQXBxuQdyvnPDIeQU4QKB8xBZwmZciOcwxSTEEJBCAntk8v2w_605HpIj59YAKYtjmJCn1asOWtPppqtUHZgy6F3VvASttqWxG9XkOqiaT9lVpvE66DyhnNPObTw1IPq9ct1AbXu1C95UXbtjclCq2umTrz0lj1eL1fxmtry_vp1fLmd5xABm_qsFjRLBC8w4IsMIOBUcsoglQucQFXEWKwVQKiFirTJOyzSjhSpEjpxCNCVnY25rzbbXrpNr09vGn5Q0SdEPQ-Zd6ejKrXHO6lK2ttoou5MIcihRDv3IoSvpS5QoxxI9eD6ClWl_ku8eFr9ssi1Kb6V_WP_J_wBWBYEG</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2561256717</pqid></control><display><type>article</type><title>The potential of using performance information in the assessment of existing quay walls</title><source>IOP Publishing Free Content</source><source>EZB-FREE-00999 freely available EZB journals</source><source>IOPscience extra</source><source>Free Full-Text Journals in Chemistry</source><creator>den Adel, N ; de Gijt, J G ; Wolters, H J ; Schweckendiek, T</creator><creatorcontrib>den Adel, N ; de Gijt, J G ; Wolters, H J ; Schweckendiek, T</creatorcontrib><description>The design of new and assessment of existing quay walls is subject to large uncertainties. Dealing with these uncertainties is a crucial part of the engineering process. The way uncertainties are addressed has a large impact on construction and maintenance costs and on the reliability ultimately obtained. Especially in the assessment of existing structures the uncertainties can be large. An existing structure allows us to use actual performance information in the assessment, such as the structural response to loading. One way to obtain the structural response is test loading assisted by monitoring. In this research Bayesian updating is used to reduce uncertainties and to more effectively use the obtained measurement data. We present a case study of an existing quay structure along with fictitious measurement data to demonstrate the potential effects of test loading on the reliability of the structure. The results show that Bayesian updating successfully reduces the uncertainty (i.e. standard deviation) of the model prediction. Using monitoring data and Bayesian updating provides a more realistic model of the capacity of the existing quay structure and thus a more accurate reliability assessment. Which may lead to extension of the structure's lifetime or that higher loads can be accepted.</description><identifier>ISSN: 1757-8981</identifier><identifier>EISSN: 1757-899X</identifier><identifier>DOI: 10.1088/1757-899X/615/1/012050</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Bayesian analysis ; Maintenance costs ; Monitoring ; Reliability analysis ; Reliability engineering ; Structural reliability ; Structural response ; Uncertainty ; Walls</subject><ispartof>IOP conference series. Materials Science and Engineering, 2019-10, Vol.615 (1), p.12050</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2019. 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><citedby>FETCH-LOGICAL-c3700-120d23598d1b811713082980b3759ec03d4b4aa00fa994eab82f6b2dad9c18203</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1757-899X/615/1/012050/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,780,784,27924,27925,38868,38890,53840,53867</link.rule.ids></links><search><creatorcontrib>den Adel, N</creatorcontrib><creatorcontrib>de Gijt, J G</creatorcontrib><creatorcontrib>Wolters, H J</creatorcontrib><creatorcontrib>Schweckendiek, T</creatorcontrib><title>The potential of using performance information in the assessment of existing quay walls</title><title>IOP conference series. Materials Science and Engineering</title><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><description>The design of new and assessment of existing quay walls is subject to large uncertainties. Dealing with these uncertainties is a crucial part of the engineering process. The way uncertainties are addressed has a large impact on construction and maintenance costs and on the reliability ultimately obtained. Especially in the assessment of existing structures the uncertainties can be large. An existing structure allows us to use actual performance information in the assessment, such as the structural response to loading. One way to obtain the structural response is test loading assisted by monitoring. In this research Bayesian updating is used to reduce uncertainties and to more effectively use the obtained measurement data. We present a case study of an existing quay structure along with fictitious measurement data to demonstrate the potential effects of test loading on the reliability of the structure. The results show that Bayesian updating successfully reduces the uncertainty (i.e. standard deviation) of the model prediction. Using monitoring data and Bayesian updating provides a more realistic model of the capacity of the existing quay structure and thus a more accurate reliability assessment. Which may lead to extension of the structure's lifetime or that higher loads can be accepted.</description><subject>Bayesian analysis</subject><subject>Maintenance costs</subject><subject>Monitoring</subject><subject>Reliability analysis</subject><subject>Reliability engineering</subject><subject>Structural reliability</subject><subject>Structural response</subject><subject>Uncertainty</subject><subject>Walls</subject><issn>1757-8981</issn><issn>1757-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkEtLxDAUhYMoOI7-BSm4cTP23vSRZCnD-IARF47oLqRtqh06TSdp0fn3plYUQXBxuQdyvnPDIeQU4QKB8xBZwmZciOcwxSTEEJBCAntk8v2w_605HpIj59YAKYtjmJCn1asOWtPppqtUHZgy6F3VvASttqWxG9XkOqiaT9lVpvE66DyhnNPObTw1IPq9ct1AbXu1C95UXbtjclCq2umTrz0lj1eL1fxmtry_vp1fLmd5xABm_qsFjRLBC8w4IsMIOBUcsoglQucQFXEWKwVQKiFirTJOyzSjhSpEjpxCNCVnY25rzbbXrpNr09vGn5Q0SdEPQ-Zd6ejKrXHO6lK2ttoou5MIcihRDv3IoSvpS5QoxxI9eD6ClWl_ku8eFr9ssi1Kb6V_WP_J_wBWBYEG</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>den Adel, N</creator><creator>de Gijt, J G</creator><creator>Wolters, H J</creator><creator>Schweckendiek, T</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20191001</creationdate><title>The potential of using performance information in the assessment of existing quay walls</title><author>den Adel, N ; de Gijt, J G ; Wolters, H J ; Schweckendiek, T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3700-120d23598d1b811713082980b3759ec03d4b4aa00fa994eab82f6b2dad9c18203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Bayesian analysis</topic><topic>Maintenance costs</topic><topic>Monitoring</topic><topic>Reliability analysis</topic><topic>Reliability engineering</topic><topic>Structural reliability</topic><topic>Structural response</topic><topic>Uncertainty</topic><topic>Walls</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>den Adel, N</creatorcontrib><creatorcontrib>de Gijt, J G</creatorcontrib><creatorcontrib>Wolters, H J</creatorcontrib><creatorcontrib>Schweckendiek, T</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science 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><collection>Engineering Collection</collection><jtitle>IOP conference series. Materials Science and Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>den Adel, N</au><au>de Gijt, J G</au><au>Wolters, H J</au><au>Schweckendiek, T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The potential of using performance information in the assessment of existing quay walls</atitle><jtitle>IOP conference series. Materials Science and Engineering</jtitle><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><date>2019-10-01</date><risdate>2019</risdate><volume>615</volume><issue>1</issue><spage>12050</spage><pages>12050-</pages><issn>1757-8981</issn><eissn>1757-899X</eissn><abstract>The design of new and assessment of existing quay walls is subject to large uncertainties. Dealing with these uncertainties is a crucial part of the engineering process. The way uncertainties are addressed has a large impact on construction and maintenance costs and on the reliability ultimately obtained. Especially in the assessment of existing structures the uncertainties can be large. An existing structure allows us to use actual performance information in the assessment, such as the structural response to loading. One way to obtain the structural response is test loading assisted by monitoring. In this research Bayesian updating is used to reduce uncertainties and to more effectively use the obtained measurement data. We present a case study of an existing quay structure along with fictitious measurement data to demonstrate the potential effects of test loading on the reliability of the structure. The results show that Bayesian updating successfully reduces the uncertainty (i.e. standard deviation) of the model prediction. Using monitoring data and Bayesian updating provides a more realistic model of the capacity of the existing quay structure and thus a more accurate reliability assessment. Which may lead to extension of the structure's lifetime or that higher loads can be accepted.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1757-899X/615/1/012050</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1757-8981 |
ispartof | IOP conference series. Materials Science and Engineering, 2019-10, Vol.615 (1), p.12050 |
issn | 1757-8981 1757-899X |
language | eng |
recordid | cdi_proquest_journals_2561256717 |
source | IOP Publishing Free Content; EZB-FREE-00999 freely available EZB journals; IOPscience extra; Free Full-Text Journals in Chemistry |
subjects | Bayesian analysis Maintenance costs Monitoring Reliability analysis Reliability engineering Structural reliability Structural response Uncertainty Walls |
title | The potential of using performance information in the assessment of existing quay walls |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T22%3A18%3A55IST&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=The%20potential%20of%20using%20performance%20information%20in%20the%20assessment%20of%20existing%20quay%20walls&rft.jtitle=IOP%20conference%20series.%20Materials%20Science%20and%20Engineering&rft.au=den%20Adel,%20N&rft.date=2019-10-01&rft.volume=615&rft.issue=1&rft.spage=12050&rft.pages=12050-&rft.issn=1757-8981&rft.eissn=1757-899X&rft_id=info:doi/10.1088/1757-899X/615/1/012050&rft_dat=%3Cproquest_cross%3E2561256717%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=2561256717&rft_id=info:pmid/&rfr_iscdi=true |