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

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Bruno Pedrosa (Author) Other; José A. F. O. Correia (Author) FEUP; Carlos A. S. Rebelo (Author) Other; Milan Veljkovic (Author) Other

Journal

Title: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

Vol. 6 No. 3

Pages: 04020034-1-04020034-8

Publisher: ASCE

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 8 Citations

Other information

Authenticus ID: P-00S-FV9

DOI: 10.1061/ajrua6.0001081

Abstract (EN): 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. © 2020 American Society of Civil Engineers.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8