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

doi:10.1061/AJRUA6.0001081

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

^*Corresponding author for this work

Steel & Composite Structures

Research output: Contribution to journal › Article › Scientific › peer-review

29 Citations (Scopus)

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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 language	English
Article number	4020034
Number of pages	8
Journal	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume	6
Issue number	3
DOIs	https://doi.org/10.1061/AJRUA6.0001081
Publication status	Published - 2020

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Erratum DOI: 10.1061/AJRUA6.0001081
The following correction should be made to the original paper: in
all places where it is written “probability of failure,” the text should
read “probability of survival,” including in Tables 2 and 3.

Keywords

Bridges
Fatigue
Riveted connections
Statistical analysis

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10.1061/AJRUA6.0001081

AJRUA6.0001081Final published version, 1.78 MB

Cite this

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title = "Reliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions",

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. ",

keywords = "Bridges, Fatigue, Riveted connections, Statistical analysis",

author = "Bruno Pedrosa and Correia, {Jos{\'e} A.F.O.} and Rebelo, {Carlos A.S.} and Milan Veljkovic",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Erratum DOI: 10.1061/AJRUA6.0001081 The following correction should be made to the original paper: in all places where it is written “probability of failure,” the text should read “probability of survival,” including in Tables 2 and 3.",

year = "2020",

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language = "English",

volume = "6",

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

issn = "2376-7642",

publisher = "American Society of Civil Engineers (ASCE)",

number = "3",

}

Reliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions. / Pedrosa, Bruno; Correia, José A.F.O.; Rebelo, Carlos A.S. et al.
In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Vol. 6, No. 3, 4020034, 2020.

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - Reliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions

AU - Pedrosa, Bruno

AU - Correia, José A.F.O.

AU - Rebelo, Carlos A.S.

AU - Veljkovic, Milan

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Erratum DOI: 10.1061/AJRUA6.0001081 The following correction should be made to the original paper: in all places where it is written “probability of failure,” the text should read “probability of survival,” including in Tables 2 and 3.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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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KW - Riveted connections

KW - Statistical analysis

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ER -

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

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