Technical Papers
Jun 30, 2020

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

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Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 6, Issue 3

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.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors would like to acknowledge the Fundação para a Ciência e Tecnologia (FCT) for funding the scholarships SFRH/BPD/107825/2015 and SFRH/BD/145037/2019. This work was also financed by the following: FEDER funds through the Competitivity Factors Operational Programme–COMPETE, by national funds through FCT within the scope of the project POCI-01-0145-FEDER-007633, and through the Regional Operational Programme CENTRO2020 within the scope of the project CENTRO-01-0145-FEDER-000006; Base Funding–UIDB/04708/2020 and Programmatic Funding–UIDP/04708/2020 of the CONSTRUCT–Instituto de I&D em Estruturas e Construções, funded by national funds through the FCT/MCTES (PIDDAC); and FiberBridge–Fatigue strengthening and assessment of railway metallic bridges using fiber-reinforced polymers (POCI-01-0145-FEDER-030103) by FEDER funds through COMPETE2020 (POCI) and by national funds (PIDDAC) through the Portuguese Science Foundation (FCT/MCTES).

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 6Issue 3September 2020

History

Received: Mar 24, 2020
Accepted: Apr 28, 2020
Published online: Jun 30, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 30, 2020

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Authors

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Ph.D. Student, Institute for Sustainability and Innovation in Structural Engineering, Dept. of Civil Engineering, Univ. of Coimbra, Coimbra 3030-790, Portugal (corresponding author). ORCID: https://orcid.org/0000-0002-5917-0309. Email: [email protected]
José A. F. O. Correia [email protected]
Researcher, Construct and Faculty of Engineering, Univ. of Porto, Porto 4200-465, Portugal. Email: [email protected]
Carlos A. S. Rebelo [email protected]
Associate Professor, Institute for Sustainability and Innovation in Structural Engineering, Dept. of Civil Engineering, Univ. of Coimbra, Coimbra 3030-790, Portugal. Email: [email protected]
Milan Veljkovic [email protected]
Full Professor, Faculty of Civil Engineering and Geosciences, Delft Univ. of Technology, Stevinweg 1, 2628 CN Delft, Netherlands. Email: [email protected]

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