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    Determination of Conditional Probability of Dynamic Ductile Axial Crack Arrest for Conventionally-Rolled, Lower-Toughness Linepipe Materials

    Source: Journal of Pressure Vessel Technology:;2005:;volume( 127 ):;issue: 002::page 143
    Author:
    David L. Rudland
    ,
    Gery M. Wilkowski
    ,
    Shinobu Kawaguchi
    ,
    Naoto Hagiwara
    DOI: 10.1115/1.1858924
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents an analytical procedure to predict the conditional probability of dynamic ductile axial crack arrest within one pipe joint length for pipeline materials operating at temperature above the brittle-to-ductile transition temperature. The analysis assumes there is an event to initiate a rupture with probability of one, so that the probability of a fracture event occurring is the probability of the rupture event (i.e., from mechanical damage) times the conditional probability of arrest within one pipe joint. The underlying deterministic model centers on the Battelle Two-Curve approach with a correction to predict the arrest length given the actual material toughness relative to the minimum arrest toughness. Past full-scale experimental results were used to develop statistical parameters that were used with the deterministic model in a Monte Carlo analysis. This model was calibrated for linepipe materials with a toughness less than 150J and a grade less than X65. Example cases are presented to demonstrate the variation of the probability of arrest with the pipeline operating conditions.
    keyword(s): Fracture (Materials) , Probability , Toughness , Pipe joints AND Fracture (Process) ,
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      Determination of Conditional Probability of Dynamic Ductile Axial Crack Arrest for Conventionally-Rolled, Lower-Toughness Linepipe Materials

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    https://yetl.yabesh.ir/yetl1/handle/yetl/132523
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    contributor authorDavid L. Rudland
    contributor authorGery M. Wilkowski
    contributor authorShinobu Kawaguchi
    contributor authorNaoto Hagiwara
    date accessioned2017-05-09T00:17:37Z
    date available2017-05-09T00:17:37Z
    date copyrightMay, 2005
    date issued2005
    identifier issn0094-9930
    identifier otherJPVTAS-28454#143_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132523
    description abstractThis paper presents an analytical procedure to predict the conditional probability of dynamic ductile axial crack arrest within one pipe joint length for pipeline materials operating at temperature above the brittle-to-ductile transition temperature. The analysis assumes there is an event to initiate a rupture with probability of one, so that the probability of a fracture event occurring is the probability of the rupture event (i.e., from mechanical damage) times the conditional probability of arrest within one pipe joint. The underlying deterministic model centers on the Battelle Two-Curve approach with a correction to predict the arrest length given the actual material toughness relative to the minimum arrest toughness. Past full-scale experimental results were used to develop statistical parameters that were used with the deterministic model in a Monte Carlo analysis. This model was calibrated for linepipe materials with a toughness less than 150J and a grade less than X65. Example cases are presented to demonstrate the variation of the probability of arrest with the pipeline operating conditions.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDetermination of Conditional Probability of Dynamic Ductile Axial Crack Arrest for Conventionally-Rolled, Lower-Toughness Linepipe Materials
    typeJournal Paper
    journal volume127
    journal issue2
    journal titleJournal of Pressure Vessel Technology
    identifier doi10.1115/1.1858924
    journal fristpage143
    journal lastpage150
    identifier eissn1528-8978
    keywordsFracture (Materials)
    keywordsProbability
    keywordsToughness
    keywordsPipe joints AND Fracture (Process)
    treeJournal of Pressure Vessel Technology:;2005:;volume( 127 ):;issue: 002
    contenttypeFulltext
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