Computing Remaining Fatigue Life Under Incrementally Updated Loading Histories
Published April 3, 2018 by SAE International in United States
Downloadable datasets for this paper availableAnnotation of this paper is available
After manufacture, every military vehicle experiences a unique history of dynamic loads, depending on loads carried, missions completed, etc. Damage accumulates in vehicle structures and components accordingly, leading eventually to failures that can be difficult to anticipate, and to unpredictable consequences for mission objectives. The advent of simulation-based fatigue life prediction tools opens a path to Digital Twin based solutions for tracking damage, and for gaining control over vehicle reliability. An incremental damage updating feature has now been implemented in the Endurica CL fatigue solver with the aim of supporting such applications for elastomer components. The incremental updating feature is demonstrated via the example of a simple transmission mount component. The damage state of the mount is computed as it progresses towards failure under a series of typical loading histories. The incremental updating feature enables both more realism in anticipating maintenance demands, and better planning of availability/readiness for specific mission demands.
CitationMars, W., Suter, J., and Bauman, M., "Computing Remaining Fatigue Life Under Incrementally Updated Loading Histories," SAE Technical Paper 2018-01-0623, 2018, https://doi.org/10.4271/2018-01-0623.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
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