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    Full-Scale Field Evaluation of Microelectromechanical System-Based Biaxial Strain Transducer and Its Application in Fatigue Analysis

    Source: Journal of Aerospace Engineering:;2003:;Volume ( 016 ):;issue: 003
    Author:
    M. Obadat
    ,
    Hosin “David” Lee
    ,
    M. Asghar Bhatti
    ,
    Brian Maclean
    DOI: 10.1061/(ASCE)0893-1321(2003)16:3(100)
    Publisher: American Society of Civil Engineers
    Abstract: The objective of this research is to develop a microelectromechanical system (MEMS)-based intelligent hybrid Biaxial Strain Transducer (BiAST) sensor for predicting railroad fatigue life based on strain history. The developed BiAST prototype was deployed to collect real-time strain data from the full-scale test track at the Transportation Technology Center (TTCI), near Pueblo, Colorado. The collected strain data were analyzed using the “Binner” fatigue analysis program for counting the load cycles and estimating the fatigue life of a rail structure. Field-testing results of the BiAST were used to evaluate the BiAST prototype with respect to its repeatability, accuracy, and hybridization. BiAST was effective in detecting the dynamic response of a particular wheel and spurious overload events. BiAST can be used to detect passing wheels, train speed, and track condition.
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      Full-Scale Field Evaluation of Microelectromechanical System-Based Biaxial Strain Transducer and Its Application in Fatigue Analysis

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/44984
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    • Journal of Aerospace Engineering

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    contributor authorM. Obadat
    contributor authorHosin “David” Lee
    contributor authorM. Asghar Bhatti
    contributor authorBrian Maclean
    date accessioned2017-05-08T21:16:08Z
    date available2017-05-08T21:16:08Z
    date copyrightJuly 2003
    date issued2003
    identifier other%28asce%290893-1321%282003%2916%3A3%28100%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/44984
    description abstractThe objective of this research is to develop a microelectromechanical system (MEMS)-based intelligent hybrid Biaxial Strain Transducer (BiAST) sensor for predicting railroad fatigue life based on strain history. The developed BiAST prototype was deployed to collect real-time strain data from the full-scale test track at the Transportation Technology Center (TTCI), near Pueblo, Colorado. The collected strain data were analyzed using the “Binner” fatigue analysis program for counting the load cycles and estimating the fatigue life of a rail structure. Field-testing results of the BiAST were used to evaluate the BiAST prototype with respect to its repeatability, accuracy, and hybridization. BiAST was effective in detecting the dynamic response of a particular wheel and spurious overload events. BiAST can be used to detect passing wheels, train speed, and track condition.
    publisherAmerican Society of Civil Engineers
    titleFull-Scale Field Evaluation of Microelectromechanical System-Based Biaxial Strain Transducer and Its Application in Fatigue Analysis
    typeJournal Paper
    journal volume16
    journal issue3
    journal titleJournal of Aerospace Engineering
    identifier doi10.1061/(ASCE)0893-1321(2003)16:3(100)
    treeJournal of Aerospace Engineering:;2003:;Volume ( 016 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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