{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "Abhinav Saxena", "hasEmail": "mailto:abhinav.saxena@nasa.gov"}, "description": "In this work, a framework for the estimation of the fatigue damage propagation in CFRP composites is proposed. Macro-scale phenomena such as stiffness and strength degradation are predicted by connecting micro-scale and macro-scale damage models in a Bayesian filtering framework that also allows incorporating uncertainties in the prediction. The approach is demonstrated on data collected from a run-to-failure tension-tension fatigue experiment measuring the evolution of fatigue damage in CRFP cross-ply laminates. Results are presented for the prediction of expected end of life for a given panel with the associated uncertainty estimates.", "distribution": [{"@type": "dcat:Distribution", "description": "STI_9408_1368_Final Paper.pdf", "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/STI_9408_1368_Final_Paper.pdf", "format": "application/download", "mediaType": "application/download", "title": "STI_9408_1368_Final Paper.pdf"}], "identifier": "DASHLINK_852", "issued": "2013-12-12", "keyword": ["ames", "dashlink", "nasa"], "landingPage": "https://c3.nasa.gov/dashlink/resources/852/", "modified": "2025-03-31", "programCode": ["026:029"], "publisher": {"@type": "org:Organization", "name": "Dashlink"}, "title": "Fatigue Damage Prognosis in FRP Composites by Combining Multi-Scale Degradation Fault Modes in an Uncertainty Bayesian Framework"}