Fatigue Evaluation Algorithms: Review

Vaggelis Passipoularidis, Povl Brøndsted

    Research output: Book/ReportReportResearch

    4090 Downloads (Pure)

    Abstract

    A progressive damage fatigue simulator for variable amplitude loads named FADAS is discussed in this work. FADAS (Fatigue Damage Simulator) performs ply by ply stress analysis using classical lamination theory and implements adequate stiffness discount tactics based on the failure criterion of Puck, to model the degradation caused by failure events in ply level. Residual strength is incorporated as fatigue damage accumulation metric. Once the typical fatigue and static properties of the constitutive ply are determined,the performance of an arbitrary lay-up under uniaxial and/or multiaxial load time series can be simulated. The predictions are validated against fatigue life data both from repeated block tests at a single stress ratio as well as against spectral fatigue using the WISPER, WISPERX and NEW WISPER load sequences on a Glass/Epoxy multidirectional laminate typical of a wind turbine rotor blade construction. Two versions of the algorithm, the one using single-step and the other using incremental application of each load cycle (in case of ply failure) are implemented and compared. Simulation results confirm the ability of the algorithm to take into account load sequence effects. In general, FADAS performs well in predicting life under both spectral and block loading fatigue.
    Original languageEnglish
    Place of PublicationRoskilde
    PublisherDanmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi
    Number of pages67
    ISBN (Print)978-87-550-3835-6
    Publication statusPublished - 2010
    SeriesDenmark. Forskningscenter Risoe. Risoe-R
    Number1740(EN)
    ISSN0106-2840

    Keywords

    • Materials and energy storage
    • Light strong materials for energy purposes
    • Risø-R-1740
    • Risø-R-1740(EN)

    Fingerprint

    Dive into the research topics of 'Fatigue Evaluation Algorithms: Review'. Together they form a unique fingerprint.

    Cite this