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


    Variable-Amplitude Load Models for Fatigue Damage and Crack Growth

    Published: 0

      Format Pages Price  
    PDF (468K) 26 $25   ADD TO CART
    Complete Source PDF (4.6M) 244 $59   ADD TO CART

    Cite this document

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


    Load models for fatigue analysis and testing are tailored to the level of complexity required for the application. Random variable models are developed and applied to analyses in which load sequence effects can be neglected. Conventional narrow-band load peak and range distributions are applied to crack initiation and growth. It is shown that narrow-band load models provide useful, conservative life estimates for general Gaussian loadings. Distributions of significant peaks and ranges for wide-band loadings are developed empirically through simulations with racetrack filtering. An efficient “sequential” simulation technique is introduced for continuous generation of both narrow- and wide-band random loads. Based on a simplified crack closure model, simulations of crack growth suggest that sequence effects are most influential when any or a combination of the following are present: larger ratios of crack opening stress to maximum applied stress, lower values of applied tensile mean stress, smaller values of yield stress and crack growth coefficient. When sequence effects are present, the regularity of the spacing between tensile overloads can be important. In particular, assumption of regularly spaced overloads can be nonconservative.


    random loading, crack growth, fatigue (materials), load sequence effects, simulation, load models, wide-band loading, narrow-band loading, loading statistics, rainflow method, racetrack filtering, crack closure, bandwidth, testing

    Author Information:

    Veers, PS
    Member of the technical staff, Sandia National Laboratories, Albuquerque, NM

    research assistant, Stanford University, Stanford, CA

    Winterstein, SR
    Acting assistant professor, Stanford University, Stanford, CA

    Nelson, DV
    Associate professor, Stanford University, Stanford, CA

    Cornell, CA
    Research professor, Stanford University, Stanford, CA

    Committee/Subcommittee: E08.06

    DOI: 10.1520/STP10355S