Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Second moment reliability evaluation vs. Monte Carlo simulations for weld fatigue strength
University of Borås, Sweden.
RISE, SP – Sveriges Tekniska Forskningsinstitut.
2012 (English)In: Quality and Reliability Engineering International, ISSN 0748-8017, E-ISSN 1099-1638, Vol. 28, no 8, p. 887-896Article in journal (Refereed) Published
Abstract [en]

Monte Carlo simulations have become very popular in industrial applications as a tool to study variational influences on reliability assessments. The method is appealing because it can be done without any statistical knowledge and produces results that appear very informative. However, in most cases, the information gathered is no more than a complicated transformation of initial guesses because the statistical distributions of the dominating variational influences are unknown. The seemingly informative result may then be highly misleading, in particular, when the user lacks sufficient statistical knowledge. Instead, in cases where the input knowledge of the distributional properties is vague, it may be better to use a reliability method based on the actual knowledge, often not more than second moment characteristics. This can easily be done by using a method, based on variances, covariances, and sensitivity coefficients. Here, a specific problem of fatigue life of a welded structure is studied by (i) a Monte Carlo simulation method and (ii) a second moment method. Both methods are evaluated on a fatigue strain-life approach and use experimental data showing variation in weld geometry and material strength parameters. The two methods are compared and discussed in view of the engineering problem of reliability with respect to fatigue damage.

Place, publisher, year, edition, pages
2012. Vol. 28, no 8, p. 887-896
Keywords [en]
fatigue life, prediction interval, sensitivity analysis, Distributional property, Engineering problems, Fatigue strain-life, Initial guess, Material strength, Monte Carlo Simulation, Monte Carlo simulation methods, Reliability assessments, Reliability Evaluation, Reliability methods, Second moment methods, Second moments, Sensitivity coefficient, Specific problems, Statistical distribution, Statistical knowledge, Weld fatigue, Weld geometry, Welded structures, Fatigue of materials, Industrial applications, Method of moments, Reliability analysis, Strength of materials, Welding, Monte Carlo methods
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-51127DOI: 10.1002/qre.1278Scopus ID: 2-s2.0-84870248197OAI: oai:DiVA.org:ri-51127DiVA, id: diva2:1514652
Available from: 2021-01-07 Created: 2021-01-07 Last updated: 2021-01-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus
By organisation
SP – Sveriges Tekniska Forskningsinstitut
In the same journal
Quality and Reliability Engineering International
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 10 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf