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Abaqus Fatigue Analysis

CommunityPopular
Cai-aa
abaqus-fatigue-analysis

Workflow for fatigue and durability analysis - cycle counting, damage accumulation, and fatigue life prediction.

Overview

PublisherCai-aa
RepositoryCAE-Agent-Hub
Skill nameabaqus-fatigue-analysis
Stars
1K
Forks
130
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Cai-aa on GitHub. Read the source before you install it.

Installation

Install the Abaqus Fatigue Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/abaqus/analysis/abaqus-fatigue-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git /tmp/CAE-Agent-Hub
mkdir -p .claude/skills
cp -r /tmp/CAE-Agent-Hub/Skill/abaqus/analysis/abaqus-fatigue-analysis .claude/skills/abaqus-fatigue-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Abaqus Fatigue Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Abaqus Fatigue Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Abaqus Fatigue Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Abaqus Fatigue Analysis Skill

Predict fatigue life from FEA stress results using S-N curves and damage accumulation.

When to Use This Skill

Route here when user mentions:

  • "fatigue", "how many cycles", "fatigue life"
  • "durability", "S-N curve", "cycles to failure"
  • "rainflow counting", "Miner's rule"
  • "high-cycle fatigue", "low-cycle fatigue"

Route elsewhere:

  • Just stress analysis → /abaqus-static-analysis
  • Crack propagation → specialized fracture tools
  • Static strength check → /abaqus-static-analysis

Important: Abaqus Fatigue Limitations

Abaqus has limited native fatigue capabilities. The typical workflow is:

  1. Run structural analysis in Abaqus (stress/strain results)
  2. Extract stress history from ODB
  3. Apply fatigue criteria externally (Basquin, Miner's rule)

For full fatigue analysis, consider external tools: fe-safe, nCode, FEMFAT.

Prerequisites

Before fatigue analysis:

  1. ✅ Completed static or dynamic analysis with converged results
  2. ✅ Material fatigue data (S-N curve or Coffin-Manson parameters)
  3. ✅ Stress output at critical locations

Workflow Steps

Step 1: Run Stress Analysis

Use /abaqus-static-analysis for constant loads or /abaqus-dynamic-analysis for time-varying.

Ensure output requests include:

  • S - Stress components (principal, Mises)
  • E - Strain components
  • PEEQ - Equivalent plastic strain (for low-cycle)

Step 2: Identify Critical Location

Find the maximum stress location:

  • Use /abaqus-odb to extract peak stress
  • Check stress concentrations (fillets, holes, notches)
  • Consider fatigue notch factor (Kf) vs stress concentration (Kt)

Step 3: Extract Stress History

For constant amplitude: single max/min stress values. For variable amplitude: full stress-time history for rainflow counting.

Step 4: Apply Fatigue Criteria

Use appropriate method based on loading and life regime.

Step 5: Calculate Life and Damage

Apply Basquin equation for life, Miner's rule for cumulative damage.

Key Decisions

Fatigue Approach

ApproachWhen to UseData Needed
Stress-life (S-N)High-cycle (N > 10^4)S-N curve
Strain-life (e-N)Low-cycle (N < 10^4)Coffin-Manson params
Fracture mechanicsCrack growthda/dN curve

Loading Type

LoadingAnalysis Method
Constant amplitudeSingle static analysis
Variable amplitudeMultiple loads + rainflow
ProportionalSingle load case
Non-proportionalCritical plane method

Mean Stress Correction

MethodUse Case
GoodmanConservative, tensile mean
GerberLess conservative
SoderbergVery conservative
SWTStrain-life with mean stress

What to Ask the User

If unclear, ask:

  • Material fatigue properties? S-N curve coefficients or test data?
  • Loading type? Constant amplitude or variable (spectrum)?
  • Mean stress? Fully reversed (R=-1) or with mean stress (R=0)?
  • Critical location known? Or need to find max stress?
  • Life target? What's the required number of cycles?

Key Parameters

ParameterTypical ValuesNotes
S-N slope (b)0.08-0.15Lower = longer life
Endurance limit40-50% UTS (steel)Stress below which infinite life
Fatigue notch factor (Kf)1.0-3.0Kf = 1 + q(Kt-1)
Notch sensitivity (q)0.7-0.95Higher for stronger steels

Troubleshooting

ProblemCauseSolution
Unrealistically short lifeStress singularityUse Kf correction, refine mesh away from singularity
Wrong unitsMPa vs Pa mismatchVerify stress units match S-N data
Unconservative predictionMissing mean stressApply Goodman/Gerber correction
Very long calculated lifeStress below endurance limitCheck if stress > endurance limit

Related Skills

  • /abaqus-static-analysis - Base stress analysis
  • /abaqus-dynamic-analysis - Time-varying loading
  • /abaqus-amplitude - Cyclic loading definition
  • /abaqus-odb - Extract stress history from results

Code Patterns

For API syntax, equations, and code examples, see:

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Abaqus Fatigue Analysis AI skill do?

Workflow for fatigue and durability analysis - cycle counting, damage accumulation, and fatigue life prediction.

Why use Abaqus Fatigue Analysis on TypingMind?

Because you install it once and use it with any model. Abaqus Fatigue Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Abaqus Fatigue Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/abaqus/analysis/abaqus-fatigue-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Abaqus Fatigue Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Abaqus Fatigue Analysis?

As many as you like. As long as a model supports skills, you can use Abaqus Fatigue Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Abaqus Fatigue Analysis AI skill free?

Yes. It is published on GitHub by Cai-aa under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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