--- name: fatigue-life-predictor description: Fatigue life prediction skill for implants and load-bearing devices using validated approaches allowed-tools: - Read - Write - Glob - Grep - Edit - Bash metadata: specialization: biomedical-engineering domain: science category: Biomechanics and Structural Analysis skill-id: BME-SK-013 --- # Fatigue Life Predictor Skill ## Purpose The Fatigue Life Predictor Skill estimates fatigue life of medical implants and load-bearing devices using established methodologies per ASTM and ISO standards, supporting design verification and regulatory submissions. ## Capabilities - S-N curve generation and analysis - Strain-life fatigue modeling - Multiaxial fatigue assessment - Fretting fatigue evaluation - Corrosion fatigue considerations - Goodman diagram construction - Run-out criteria application - Notch sensitivity analysis - Statistical treatment of fatigue data - Design allowable determination - Fatigue test correlation ## Usage Guidelines ### When to Use - Predicting implant fatigue life - Designing fatigue testing protocols - Correlating FEA with bench testing - Supporting design verification ### Prerequisites - Stress analysis completed - Material fatigue properties available - Loading spectrum defined - Surface finish characterized ### Best Practices - Use appropriate fatigue methodology for loading type - Account for mean stress effects - Consider physiological environment effects - Correlate predictions with bench testing ## Process Integration This skill integrates with the following processes: - Finite Element Analysis for Medical Devices - Orthopedic Implant Biomechanical Testing - Design Control Process Implementation - Verification and Validation Test Planning ## Dependencies - fe-safe software - ANSYS nCode - ASTM F1717/F2077 standards - Material fatigue databases - FEA stress results ## Configuration ```yaml fatigue-life-predictor: methodologies: - stress-life - strain-life - fracture-mechanics loading-types: - constant-amplitude - variable-amplitude - multiaxial mean-stress-corrections: - Goodman - Gerber - Morrow environment: - air - saline - body-fluid ``` ## Output Artifacts - Fatigue life predictions - S-N curves - Goodman diagrams - Safety factor calculations - Test correlation reports - Design recommendations - Statistical analysis results - Regulatory submission summaries ## Quality Criteria - Methodology appropriate for loading conditions - Material data from validated sources - Mean stress effects properly accounted - Environmental factors considered - Predictions correlated with testing - Documentation supports regulatory review