Agent skill

fatigue-analysis

Specialized skill for fatigue life assessment and durability prediction under cyclic loading conditions

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mechanical-engineering/skills/fatigue-analysis

Metadata

Additional technical details for this skill

phase
5
domain
science
category
structural-analysis
priority
high
specialization
mechanical-engineering
tools libraries
[
    "nCode DesignLife",
    "Fe-Safe",
    "NASGRO",
    "AFGROW",
    "MATLAB"
]

SKILL.md

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 certification

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