You are being redirected because this document is part of your ASTM Compass® subscription.
    This document is part of your ASTM Compass® subscription.

    Volume 47, Issue 1 (January 2019)

    Research on Random Load Characteristic Based on Mixture Distribution Model

    (Received 28 February 2017; accepted 28 September 2017)

    Published Online: 2018

    CODEN: JTEVAB

      Format Pages Price  
    PDF (1.44 MB) 19 $25   ADD TO CART

    Cite this document

    X Add email address send
    X
      .RIS For RefWorks, EndNote, ProCite, Reference Manager, Zoteo, and many others.   .DOCX For Microsoft Word



    Abstract

    Random load is one of the inherent attributes of actual working load. It is regarded as the essential prerequisite in fatigue life prediction and reliability evaluation for enhancing the performance of mechanical systems and the safety of operators. This article proposes a statistics-based method of random load characteristic analysis to handle the variable amplitude fatigue loads collected from vehicle experiments. The mixture distribution model of random load was constructed according to the native behavior of gathered data, and the parameters of mixture distribution are estimated to fit the histogram of load counting. A case study of vehicle load is provided, and the goodness of fit is subsequently tested and verifies the credible result.

    Author Information:

    Tong, Jiachi
    School of Automotive Engineering, Shanghai University of Engineering Science, Shanghai,

    Liu, Xintian
    School of Automotive Engineering, Shanghai University of Engineering Science, Shanghai,

    Wang, Minlong
    School of Automotive Engineering, Shanghai University of Engineering Science, Shanghai,

    Wang, Yansong
    School of Automotive Engineering, Shanghai University of Engineering Science, Shanghai,

    Wang, Xiaolan
    School of Automotive Engineering, Shanghai University of Engineering Science, Shanghai,


    Stock #: JTE20170131

    ISSN:0090-3973

    DOI: 10.1520/JTE20170131

    Author
    Title Research on Random Load Characteristic Based on Mixture Distribution Model
    Symposium ,
    Committee E17