Reliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions

Bruno Pedrosa, José A.F.O. Correia, Carlos A.S. Rebelo, Milan Veljkovic

Research output: Contribution to journalArticleScientificpeer-review

Abstract

In North America and Europe, there is a significant number of centenary metallic bridges that require maintenance and strengthening operations. These structures need to be adapted to increasing traffic intensities, and their structural integrity should be constantly evaluated. Fatigue damages were not considered in the original design of old metallic bridges, and riveted connections are one of the most frequent sources of fatigue damages on these structures. This paper intends to be a contribution for the reliable assessment of the fatigue behavior of riveted connections by proposing S-N curves for these structural details. Experimental fatigue data is analyzed from multiple bridges across Europe, and different statistical methods were implemented. A normal distribution function was implemented following the ISO 12107 standard, and the results were compared with the implementation of the two-parameter Weibull distribution function. Different estimation methodologies were implemented to determine the parameters of the Weibull distribution. S-N curves obtained by the statistical analysis were then compared with design recommendations from North American and European standards.

Original languageEnglish
Article number4020034
Number of pages8
JournalASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume6
Issue number3
DOIs
Publication statusPublished - 2020

Keywords

  • Bridges
  • Fatigue
  • Riveted connections
  • Statistical analysis

Fingerprint Dive into the research topics of 'Reliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions'. Together they form a unique fingerprint.

  • Cite this