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fatigue-life-predictor

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Fatigue life prediction skill for implants and load-bearing devices using validated approaches

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Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/biomedical-engineering/skills/fatigue-life-predictor/SKILL.md

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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

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