Babysitter fatigue-life-predictor
Fatigue life prediction skill for implants and load-bearing devices using validated approaches
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/biomedical-engineering/skills/fatigue-life-predictor" ~/.claude/skills/a5c-ai-babysitter-fatigue-life-predictor && rm -rf "$T"
manifest:
library/specializations/domains/science/biomedical-engineering/skills/fatigue-life-predictor/SKILL.mdsource content
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