Loading…

Probabilistic fatigue resistance model for steel welded details under variable amplitude loading – Inference and uncertainty estimation

•A novel model to infer VA fatigue data of welded joints is proposed.•The damage limit concept has been formalized and justified using fracture mechanics.•Test data of four welded structural details are inferred and uncertainty are determined. This paper presents a probabilistic fatigue life predict...

Full description

Saved in:
Bibliographic Details
Published in:International journal of fatigue 2020-06, Vol.135, p.105515-18, Article 105515
Main Authors: Leonetti, Davide, Maljaars, Johan, Snijder, H.H.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c392t-87b41b2b6c693f13ddfb06aab39fd07f86e4f8f56fac2ae7cf77a2bbe738488c3
cites cdi_FETCH-LOGICAL-c392t-87b41b2b6c693f13ddfb06aab39fd07f86e4f8f56fac2ae7cf77a2bbe738488c3
container_end_page 18
container_issue
container_start_page 105515
container_title International journal of fatigue
container_volume 135
creator Leonetti, Davide
Maljaars, Johan
Snijder, H.H.
description •A novel model to infer VA fatigue data of welded joints is proposed.•The damage limit concept has been formalized and justified using fracture mechanics.•Test data of four welded structural details are inferred and uncertainty are determined. This paper presents a probabilistic fatigue life prediction model for welded details subjected to variable amplitude random loading, using the nominal stress approach. The proposed model makes use of CA S-N curves in combination with the relative damage rule which allows to globally account for load interaction effects, and the damage limit concept that permits the estimation of the damage for the stress ranges lower than the fatigue limit and is based on linear elastic fracture mechanics. Epistemic (sampling) and aleatory (statistical) uncertainties are estimated in a statistical framework, making the model applicable for structural reliability analyses.
doi_str_mv 10.1016/j.ijfatigue.2020.105515
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2443393950</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0142112320300463</els_id><sourcerecordid>2443393950</sourcerecordid><originalsourceid>FETCH-LOGICAL-c392t-87b41b2b6c693f13ddfb06aab39fd07f86e4f8f56fac2ae7cf77a2bbe738488c3</originalsourceid><addsrcrecordid>eNqFUMtKxDAUDaLg-PgGA6475tE27VLEx4CgC12HPG6GlE4zJq3izq1r_9AvMWXErat7uZzHPQehM0qWlND6olv6zqnRrydYMsLma1XRag8taCPagpcV20cLQktWUMr4ITpKqSOEtERUC_T5GINW2vc-jd7gXyEcIeWDGgzgTbDQYxciTiPk7Q16CxZbGJXvE54GCxG_quiV7gGrzbb342QB90FZP6zx98cXXg0OIsxqarCZYiBm9jC-Y8i2m2wahhN04FSf4PR3HqPnm-unq7vi_uF2dXV5XxjesrFohC6pZro2dcsd5dY6TWqlNG-dJcI1NZSucVXtlGEKhHFCKKY1CN6UTWP4MTrf6W5jeJmyv-zCFIdsKVlZct7ytiIZJXYoE0NKEZzcxvxofJeUyLl32cm_3uXcu9z1npmXOybkEK8eokzGz9mtj2BGaYP_V-MH_m-VSg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2443393950</pqid></control><display><type>article</type><title>Probabilistic fatigue resistance model for steel welded details under variable amplitude loading – Inference and uncertainty estimation</title><source>ScienceDirect Freedom Collection</source><creator>Leonetti, Davide ; Maljaars, Johan ; Snijder, H.H.</creator><creatorcontrib>Leonetti, Davide ; Maljaars, Johan ; Snijder, H.H.</creatorcontrib><description>•A novel model to infer VA fatigue data of welded joints is proposed.•The damage limit concept has been formalized and justified using fracture mechanics.•Test data of four welded structural details are inferred and uncertainty are determined. This paper presents a probabilistic fatigue life prediction model for welded details subjected to variable amplitude random loading, using the nominal stress approach. The proposed model makes use of CA S-N curves in combination with the relative damage rule which allows to globally account for load interaction effects, and the damage limit concept that permits the estimation of the damage for the stress ranges lower than the fatigue limit and is based on linear elastic fracture mechanics. Epistemic (sampling) and aleatory (statistical) uncertainties are estimated in a statistical framework, making the model applicable for structural reliability analyses.</description><identifier>ISSN: 0142-1123</identifier><identifier>EISSN: 1879-3452</identifier><identifier>DOI: 10.1016/j.ijfatigue.2020.105515</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Bridge loading ; Damage ; Elastic limit ; Fatigue life ; Fatigue limit ; Fatigue strength ; Fracture mechanics ; Life prediction ; Likelihood ; Linear elastic fracture mechanics ; Materials fatigue ; Metal fatigue ; Prediction models ; Probabilistic inference ; Probability theory ; Reliability analysis ; Reliability engineering ; S N diagrams ; Statistical analysis ; Structural reliability ; Uncertainty ; Variable amplitude loading ; Welded details</subject><ispartof>International journal of fatigue, 2020-06, Vol.135, p.105515-18, Article 105515</ispartof><rights>2020 The Author(s)</rights><rights>Copyright Elsevier BV Jun 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-87b41b2b6c693f13ddfb06aab39fd07f86e4f8f56fac2ae7cf77a2bbe738488c3</citedby><cites>FETCH-LOGICAL-c392t-87b41b2b6c693f13ddfb06aab39fd07f86e4f8f56fac2ae7cf77a2bbe738488c3</cites><orcidid>0000-0002-7436-3977</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Leonetti, Davide</creatorcontrib><creatorcontrib>Maljaars, Johan</creatorcontrib><creatorcontrib>Snijder, H.H.</creatorcontrib><title>Probabilistic fatigue resistance model for steel welded details under variable amplitude loading – Inference and uncertainty estimation</title><title>International journal of fatigue</title><description>•A novel model to infer VA fatigue data of welded joints is proposed.•The damage limit concept has been formalized and justified using fracture mechanics.•Test data of four welded structural details are inferred and uncertainty are determined. This paper presents a probabilistic fatigue life prediction model for welded details subjected to variable amplitude random loading, using the nominal stress approach. The proposed model makes use of CA S-N curves in combination with the relative damage rule which allows to globally account for load interaction effects, and the damage limit concept that permits the estimation of the damage for the stress ranges lower than the fatigue limit and is based on linear elastic fracture mechanics. Epistemic (sampling) and aleatory (statistical) uncertainties are estimated in a statistical framework, making the model applicable for structural reliability analyses.</description><subject>Bridge loading</subject><subject>Damage</subject><subject>Elastic limit</subject><subject>Fatigue life</subject><subject>Fatigue limit</subject><subject>Fatigue strength</subject><subject>Fracture mechanics</subject><subject>Life prediction</subject><subject>Likelihood</subject><subject>Linear elastic fracture mechanics</subject><subject>Materials fatigue</subject><subject>Metal fatigue</subject><subject>Prediction models</subject><subject>Probabilistic inference</subject><subject>Probability theory</subject><subject>Reliability analysis</subject><subject>Reliability engineering</subject><subject>S N diagrams</subject><subject>Statistical analysis</subject><subject>Structural reliability</subject><subject>Uncertainty</subject><subject>Variable amplitude loading</subject><subject>Welded details</subject><issn>0142-1123</issn><issn>1879-3452</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFUMtKxDAUDaLg-PgGA6475tE27VLEx4CgC12HPG6GlE4zJq3izq1r_9AvMWXErat7uZzHPQehM0qWlND6olv6zqnRrydYMsLma1XRag8taCPagpcV20cLQktWUMr4ITpKqSOEtERUC_T5GINW2vc-jd7gXyEcIeWDGgzgTbDQYxciTiPk7Q16CxZbGJXvE54GCxG_quiV7gGrzbb342QB90FZP6zx98cXXg0OIsxqarCZYiBm9jC-Y8i2m2wahhN04FSf4PR3HqPnm-unq7vi_uF2dXV5XxjesrFohC6pZro2dcsd5dY6TWqlNG-dJcI1NZSucVXtlGEKhHFCKKY1CN6UTWP4MTrf6W5jeJmyv-zCFIdsKVlZct7ytiIZJXYoE0NKEZzcxvxofJeUyLl32cm_3uXcu9z1npmXOybkEK8eokzGz9mtj2BGaYP_V-MH_m-VSg</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Leonetti, Davide</creator><creator>Maljaars, Johan</creator><creator>Snijder, H.H.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><orcidid>https://orcid.org/0000-0002-7436-3977</orcidid></search><sort><creationdate>202006</creationdate><title>Probabilistic fatigue resistance model for steel welded details under variable amplitude loading – Inference and uncertainty estimation</title><author>Leonetti, Davide ; Maljaars, Johan ; Snijder, H.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-87b41b2b6c693f13ddfb06aab39fd07f86e4f8f56fac2ae7cf77a2bbe738488c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bridge loading</topic><topic>Damage</topic><topic>Elastic limit</topic><topic>Fatigue life</topic><topic>Fatigue limit</topic><topic>Fatigue strength</topic><topic>Fracture mechanics</topic><topic>Life prediction</topic><topic>Likelihood</topic><topic>Linear elastic fracture mechanics</topic><topic>Materials fatigue</topic><topic>Metal fatigue</topic><topic>Prediction models</topic><topic>Probabilistic inference</topic><topic>Probability theory</topic><topic>Reliability analysis</topic><topic>Reliability engineering</topic><topic>S N diagrams</topic><topic>Statistical analysis</topic><topic>Structural reliability</topic><topic>Uncertainty</topic><topic>Variable amplitude loading</topic><topic>Welded details</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leonetti, Davide</creatorcontrib><creatorcontrib>Maljaars, Johan</creatorcontrib><creatorcontrib>Snijder, H.H.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>International journal of fatigue</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leonetti, Davide</au><au>Maljaars, Johan</au><au>Snijder, H.H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probabilistic fatigue resistance model for steel welded details under variable amplitude loading – Inference and uncertainty estimation</atitle><jtitle>International journal of fatigue</jtitle><date>2020-06</date><risdate>2020</risdate><volume>135</volume><spage>105515</spage><epage>18</epage><pages>105515-18</pages><artnum>105515</artnum><issn>0142-1123</issn><eissn>1879-3452</eissn><abstract>•A novel model to infer VA fatigue data of welded joints is proposed.•The damage limit concept has been formalized and justified using fracture mechanics.•Test data of four welded structural details are inferred and uncertainty are determined. This paper presents a probabilistic fatigue life prediction model for welded details subjected to variable amplitude random loading, using the nominal stress approach. The proposed model makes use of CA S-N curves in combination with the relative damage rule which allows to globally account for load interaction effects, and the damage limit concept that permits the estimation of the damage for the stress ranges lower than the fatigue limit and is based on linear elastic fracture mechanics. Epistemic (sampling) and aleatory (statistical) uncertainties are estimated in a statistical framework, making the model applicable for structural reliability analyses.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ijfatigue.2020.105515</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-7436-3977</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0142-1123
ispartof International journal of fatigue, 2020-06, Vol.135, p.105515-18, Article 105515
issn 0142-1123
1879-3452
language eng
recordid cdi_proquest_journals_2443393950
source ScienceDirect Freedom Collection
subjects Bridge loading
Damage
Elastic limit
Fatigue life
Fatigue limit
Fatigue strength
Fracture mechanics
Life prediction
Likelihood
Linear elastic fracture mechanics
Materials fatigue
Metal fatigue
Prediction models
Probabilistic inference
Probability theory
Reliability analysis
Reliability engineering
S N diagrams
Statistical analysis
Structural reliability
Uncertainty
Variable amplitude loading
Welded details
title Probabilistic fatigue resistance model for steel welded details under variable amplitude loading – Inference and uncertainty estimation
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T20%3A42%3A46IST&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=Probabilistic%20fatigue%20resistance%20model%20for%20steel%20welded%20details%20under%20variable%20amplitude%20loading%20%E2%80%93%20Inference%20and%20uncertainty%20estimation&rft.jtitle=International%20journal%20of%20fatigue&rft.au=Leonetti,%20Davide&rft.date=2020-06&rft.volume=135&rft.spage=105515&rft.epage=18&rft.pages=105515-18&rft.artnum=105515&rft.issn=0142-1123&rft.eissn=1879-3452&rft_id=info:doi/10.1016/j.ijfatigue.2020.105515&rft_dat=%3Cproquest_cross%3E2443393950%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c392t-87b41b2b6c693f13ddfb06aab39fd07f86e4f8f56fac2ae7cf77a2bbe738488c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2443393950&rft_id=info:pmid/&rfr_iscdi=true