A dataset from a run-to-failure tension-tension fatigue experiment measuring damage evolution in CFRP cross-ply laminates. The data was collected by the National Aeronautics and Space Administration (NASA) and last updated in March 2026. It supports a proposed framework for estimating fatigue damage propagation by connecting micro-scale and macro-scale models within a Bayesian filtering approach.
Use Cases
- Predicting stiffness and strength degradation in composite materials based on multi-scale damage models.
- Estimating the expected end of life for composite panels based on fatigue experiment data.
- Incorporating and quantifying prediction uncertainties in material prognosis using a Bayesian framework.
- Validating physics-informed probabilistic models for fatigue damage propagation in FRP composites.
Strengths
- Data originates from the authoritative source National Aeronautics and Space Administration.
- Framework explicitly incorporates uncertainty quantification in predictions.
- Last updated on 2026-03-13, indicating recent maintenance.
Limitations
- Row count and dataset size are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- National Aeronautics and Space Administration
- Collection Method
- Data collected from a run-to-failure tension-tension fatigue experiment.
- Time Range
- null
- Freshness
- Last updated 2026-03-13 20:33:56.268209
- Geography
- null