Abstract The Advancing Structural Simulation to drive Innovative Sustainment Technologies (ASSIST) collaborative program was initiated by Defence Science and Technology (DST) Group to foster improvements in fatigue life prediction technologies, with the long-term goal of a virtual fatigue test. It is based upon a growing series of airframe challenges, where participants are invited to test state-of-the-art fatigue prediction technologies on problems based on real aircraft structures and loads. Since each challenge is underpinned by a set of demonstrated test results, the predictive ability of all technologies can be accurately assessed. Furthermore, the collaborative forensic review of the challenge results is considered a key output, which will allow the limitations of predictive techniques to be better understood and addressed in future research. DST has established a collaborative online space for the ASSIST community at https://www.govteams.gov.au/ . It is being used to share essential data associated with each challenge, provide a collaborative space for discussions, and post results and evaluations. The first ASSIST challenge has been completed and two further challenges have been released to the ASSIST community. The first ASSIST challenge, which was based on a fighter wing-root shear tie post, is described here. It demonstrated the critical importance of having accurate fatigue crack growth data, in addition to understanding the fatigue crack shape and local stress field when the crack depth is still very small. It is considered that future ASSIST challenges will provide many further insights, which will drive improvements to current fatigue life prediction technologies. It is envisaged that the growing database of ASSIST airframe challenges will provide an understanding of the accuracy that can be achieved with current fatigue life prediction methodologies. This is another important product of the program, because it enables the adoption of such methodologies on real aircraft structures.


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    Titel :

    Progress on the Pathway to a Virtual Fatigue Test


    Beteiligte:
    Dixon, Ben (Autor:in) / Burchill, Madeleine (Autor:in) / Main, Ben (Autor:in) / Stehlin, Thierry (Autor:in) / Rigoli, Raphaël (Autor:in)


    Erscheinungsdatum :

    2019-07-03


    Format / Umfang :

    15 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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