Receber por email
← Voltar para o catálogo

fatigue-analysis

Habilidade especializada para avaliação da vida útil à fadiga e previsão de durabilidade sob condições de carregamento cíclico.

1.4kestrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add a5c-ai/babysitter

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/fatigue-analysis/svg)](https://www.skillteca.com.br/skills/fatigue-analysis)

Skills relacionadas

Ver todas de Automação →

Alerta por categoria

Receba novas skills de Automação toda segunda

1 email curto, só com as skills novas de Automação. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

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
  2. High-cycle fatigue (N > 10^4 cycles)
  3. Elastic stress conditions
  4. Rotating machinery, vibration loading
  1. S-N Curve Development

``` S = A * N^b

Where: S = stress amplitude N = cycles to failure A, b = material constants ```

  1. 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
  2. Low-cycle fatigue (N < 10^4 cycles)
  3. Plastic strain present
  4. Notched components
  1. 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 ```

  1. Neuber's Rule for Notches

`` (Kt S)^2 / E = sigma epsilon ``

Fracture Mechanics

  1. Application
  2. Damage tolerance analysis
  3. Crack growth life prediction
  4. Inspection interval determination
  1. Paris Law

``` da/dN = C * (delta_K)^m

Where: da/dN = crack growth rate delta_K = stress intensity factor range C, m = material constants ```

  1. 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
  2. Extract cycles from complex load history
  3. Identify cycle ranges and means
  4. Generate cycle count matrix
  1. Damage Summation

``` D = sum(ni/Ni)

Failure when D >= 1.0 ```

  1. Load Sequence Effects
  2. Consider overload retardation
  3. Evaluate block loading effects
  4. 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

{
  "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

{
  "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
Compartilhar X LinkedIn