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

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2020:;Volume ( 006 ):;issue: 003
    Author:
    Bruno Pedrosa
    ,
    José A. F. O. Correia
    ,
    Carlos A. S. Rebelo
    ,
    Milan Veljkovic
    DOI: 10.1061/AJRUA6.0001081
    Publisher: ASCE
    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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      Reliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions

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

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    contributor authorBruno Pedrosa
    contributor authorJosé A. F. O. Correia
    contributor authorCarlos A. S. Rebelo
    contributor authorMilan Veljkovic
    date accessioned2022-01-30T21:19:20Z
    date available2022-01-30T21:19:20Z
    date issued9/1/2020 12:00:00 AM
    identifier otherAJRUA6.0001081.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268001
    description abstractIn 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.
    publisherASCE
    titleReliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions
    typeJournal Paper
    journal volume6
    journal issue3
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.0001081
    page8
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2020:;Volume ( 006 ):;issue: 003
    contenttypeFulltext
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