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

    STP1598

    Data Processing Procedure for Fatigue Life Prediction of Spot-Welded Joints Using a Structural Stress Method

    Published: 0


      Format Pages Price  
    PDF (2.3M) 14 $25   ADD TO CART
    Complete Source PDF (42M) 421 $130   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

    The structural stress method is widely used in fatigue-life prediction of various welded joints in vehicle structures because this method is less dependent on mesh sizes in finite-element models. However, there are several parameters that define the structural stress, and extensive analysis is required to obtain an optimum structural-stress versus fatigue-life curve of the joints. This paper establishes a data-processing procedure for fatigue-life prediction of spot-welded joints using a structural stress method. The structural stress method used in this study is influenced by sheet thicknesses, joint dimensions, and stress types. These influencing parameters are optimized by a nonlinear, generalized, reduced-gradient solver. Previous fatigue test data from the Auto/Steel Partnership is reanalyzed using this proposed optimization method, and the degree of scatter in the reproduced master curve is found to be reduced compared to past results with default parameters. The estimated specimen life using this procedure correlates well with the actual life observed in the laboratory.

    Keywords:

    spot weld, structural stress, fatigue-life prediction


    Author Information:

    Kang, Hong-Tae
    The University of Michigan-Dearborn, Dept. of Mechanical Engineering, Dearborn, MI

    Wu, Xiao
    The University of Michigan-Dearborn, Dept. of Mechanical Engineering, Dearborn, MI

    Khosrovaneh, Abolhassan K.
    General Motors LLC, Warren, MI

    Li, Zhen
    The University of Michigan-Dearborn, Dept. of Mechanical Engineering, Dearborn, MI


    Committee/Subcommittee: E08.03

    DOI: 10.1520/STP159820160054