fatigue-analysis
Specialized skill for fatigue life assessment and durability prediction under cyclic loading conditions
Best use case
fatigue-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Specialized skill for fatigue life assessment and durability prediction under cyclic loading conditions
Teams using fatigue-analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/fatigue-analysis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How fatigue-analysis Compares
| Feature / Agent | fatigue-analysis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Specialized skill for fatigue life assessment and durability prediction under cyclic loading conditions
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Fatigue Life Prediction Skill
## Purpose
The Fatigue Life Prediction skill provides specialized capabilities for assessing fatigue life and durability under cyclic loading conditions, enabling systematic evaluation of component life using stress-life, strain-life, and fracture mechanics approaches.
## Capabilities
- Stress-life (S-N) curve application and analysis
- Strain-life (epsilon-N) methodology implementation
- Fracture mechanics crack growth prediction (NASGRO, AFGROW)
- Load spectrum development and cycle counting (rainflow)
- Damage accumulation using Miner's rule
- Mean stress correction methods (Goodman, Gerber, Soderberg)
- Multiaxial fatigue assessment
- Fatigue report generation with life predictions
## Usage Guidelines
### Fatigue Analysis Approaches
#### Stress-Life Method (S-N)
1. **Application**
- High-cycle fatigue (N > 10^4 cycles)
- Elastic stress conditions
- Rotating machinery, vibration loading
2. **S-N Curve Development**
```
S = A * N^b
Where:
S = stress amplitude
N = cycles to failure
A, b = material constants
```
3. **Endurance Limit Modifiers**
```
Se = Se' * ka * kb * kc * kd * ke * kf
Where:
ka = surface factor
kb = size factor
kc = load factor
kd = temperature factor
ke = reliability factor
kf = miscellaneous effects
```
#### Strain-Life Method (epsilon-N)
1. **Application**
- Low-cycle fatigue (N < 10^4 cycles)
- Plastic strain present
- Notched components
2. **Coffin-Manson Equation**
```
epsilon_a = (sigma_f'/E) * (2Nf)^b + epsilon_f' * (2Nf)^c
Where:
epsilon_a = strain amplitude
sigma_f' = fatigue strength coefficient
b = fatigue strength exponent
epsilon_f' = fatigue ductility coefficient
c = fatigue ductility exponent
```
3. **Neuber's Rule for Notches**
```
(Kt * S)^2 / E = sigma * epsilon
```
#### Fracture Mechanics
1. **Application**
- Damage tolerance analysis
- Crack growth life prediction
- Inspection interval determination
2. **Paris Law**
```
da/dN = C * (delta_K)^m
Where:
da/dN = crack growth rate
delta_K = stress intensity factor range
C, m = material constants
```
3. **Stress Intensity Factor**
```
K = beta * S * sqrt(pi * a)
Where:
beta = geometry factor
S = remote stress
a = crack length
```
### Load Spectrum Development
1. **Rainflow Cycle Counting**
- Extract cycles from complex load history
- Identify cycle ranges and means
- Generate cycle count matrix
2. **Damage Summation**
```
D = sum(ni/Ni)
Failure when D >= 1.0
```
3. **Load Sequence Effects**
- Consider overload retardation
- Evaluate block loading effects
- Apply appropriate interaction models
### Mean Stress Corrections
| Method | Equation | Application |
|--------|----------|-------------|
| Goodman | Sa/Se + Sm/Su = 1 | Conservative, most common |
| Gerber | Sa/Se + (Sm/Su)^2 = 1 | Less conservative |
| Soderberg | Sa/Se + Sm/Sy = 1 | Very conservative |
| Morrow | Sa/Se + Sm/sigma_f' = 1 | Strain-life approach |
## Process Integration
- ME-008: Fatigue Life Prediction
## Input Schema
```json
{
"component": "string",
"material": {
"name": "string",
"Su": "number (Pa)",
"Sy": "number (Pa)",
"Se_prime": "number (Pa)",
"sigma_f_prime": "number (Pa)",
"epsilon_f_prime": "number",
"b": "number",
"c": "number"
},
"loading": {
"type": "constant_amplitude|spectrum",
"stress_amplitude": "number (Pa)",
"mean_stress": "number (Pa)",
"spectrum_file": "string (if spectrum)"
},
"geometry": {
"Kt": "number (stress concentration)",
"surface_finish": "string",
"size": "number (mm)"
},
"target_life": "number (cycles)",
"reliability": "number (0-1)"
}
```
## Output Schema
```json
{
"fatigue_life": {
"predicted_cycles": "number",
"safety_factor": "number",
"critical_location": "string"
},
"damage_summary": {
"total_damage": "number",
"damage_by_range": "array"
},
"analysis_details": {
"method_used": "string",
"mean_stress_correction": "string",
"modifying_factors": "object"
},
"recommendations": {
"design_changes": "array",
"inspection_interval": "number (if applicable)"
}
}
```
## Best Practices
1. Use appropriate method for expected life regime (HCF vs LCF)
2. Include all relevant modifying factors
3. Account for mean stress effects
4. Validate material properties from tested data
5. Consider multiaxial stress states for complex loading
6. Apply appropriate safety factors per industry standards
## Integration Points
- Connects with FEA Structural for stress inputs
- Feeds into Test Planning for validation requirements
- Supports Material Selection for fatigue-resistant materials
- Integrates with Design Review for life certificationRelated Skills
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