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Abaqus Coupled Analysis

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Cai-aa
abaqus-coupled-analysis

Complete workflow for coupled thermomechanical analysis. Use when user mentions thermal stress, thermal expansion, or temperature causing deformation.

Overview

PublisherCai-aa
RepositoryCAE-Agent-Hub
Skill nameabaqus-coupled-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 Coupled 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-coupled-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-coupled-analysis .claude/skills/abaqus-coupled-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Abaqus Coupled 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 Coupled 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 Coupled 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 Coupled Thermomechanical Analysis Workflow

Analyze problems where temperature and mechanical response interact. Use for thermal stress, expansion-induced deformation, and high-temperature structural components.

When to Use This Skill

Natural language triggers:

  • "Thermal stress analysis"
  • "Thermomechanical coupling"
  • "Temperature causes stress/deformation"
  • "Thermal expansion effects"
  • "Heat causes deformation"
  • "Thermal shock"
  • "High temperature component"
  • "Thermal gradient stress"

Route elsewhere:

  • Heat transfer only (no stress) -> /abaqus-thermal-analysis
  • Structural only (no thermal) -> /abaqus-static-analysis

Prerequisites

Before starting coupled analysis:

  1. Working thermal OR structural analysis that converges
  2. Material must have BOTH thermal and mechanical properties
  3. Understand whether coupling is one-way or two-way

Workflow: Coupled Thermomechanical Analysis

Step 1: Determine Coupling Type

Ask if unclear: "Does mechanical deformation affect the temperature field?"

ScenarioCoupling TypeApproach
Heat causes stress, no feedbackOne-waySequential coupling
Friction or plastic work generates heatTwo-wayFully coupled
Large deformation changes heat pathTwo-wayFully coupled
Simple thermal expansionOne-waySequential is simpler

Decision rule: If only temperature affects stress -> Sequential. If deformation affects temperature -> Fully coupled.

Step 2: Define Complete Material Properties

Material must include BOTH sets:

Mechanical: E (Young's modulus), nu (Poisson's ratio)

Thermal: k (conductivity), alpha (expansion coefficient), T_ref (reference temperature)

For transient: Also need cp (specific heat) and rho (density)

Typical steel values (SI-mm units):

  • E = 210000 MPa, nu = 0.3
  • k = 50 mW/(mm*K), alpha = 12e-6 /K
  • cp = 5.0e11 mJ/(tonne*K), rho = 7.85e-9 tonne/mm^3

Step 3: Choose Analysis Type

Fully Coupled (simultaneous):

  • Use CoupledTempDisplacementStep
  • Response: STEADY_STATE or TRANSIENT
  • Elements: C3D8T, C3D8RT, or C3D10MT (coupled elements)

Sequential (thermal first, then structural):

  1. Run thermal analysis with HeatTransferStep
  2. Import temperature results into structural model
  3. Run structural analysis with StaticStep

Step 4: Set Initial Conditions

  • Define initial temperature (should match T_ref for zero initial stress)
  • Thermal strain = alpha * (T - T_ref)

Step 5: Apply Boundary Conditions

Thermal BCs: Temperature, heat flux, convection, or radiation

Mechanical BCs: Fixed supports (prevent rigid body motion)

Step 6: Mesh with Appropriate Elements

ElementDescriptionUse
C3D8T8-node coupled brickGeneral coupled
C3D8RTReduced integrationFaster, watch hourglassing
C3D10MT10-node tetComplex geometry

For sequential: Use standard thermal elements (DC3D8) then structural elements (C3D8R).

Step 7: Request Coupled Output Variables

Key variables to request:

  • S: Mechanical stress
  • U: Displacement
  • NT: Temperature (nodal)
  • THE: Thermal strain
  • E: Total strain
  • EE: Elastic strain (mechanical only)

What to Ask User

If requirements unclear, ask:

  1. Is the coupling one-way (heat->stress) or two-way (mutual interaction)?
  2. Steady-state or transient thermal conditions?
  3. What is the reference temperature (zero thermal strain)?
  4. What temperatures will be applied?
  5. Are there any mechanical loads in addition to thermal effects?

Validation Checklist

After setup, verify:

  • Expansion coefficient (alpha) defined with correct T_ref
  • Initial temperature matches T_ref (for zero initial stress)
  • Both mechanical and thermal BCs applied
  • Using coupled elements (C3D*T) for fully coupled
  • Thermal strain (THE) appears in output requests

Troubleshooting

ProblemLikely CauseSolution
Large/unrealistic thermal strainWrong alpha unitsalpha should be ~1e-5/K for metals
Zero thermal stressMissing Expansion propertyAdd material.Expansion()
Non-convergenceLarge temperature changeReduce time increments or deltmx
No thermal expansion effectWrong element typeUse coupled elements (C3D8T not C3D8)
Cannot import ODBPath or step name wrongVerify ODB exists and step name matches

Related Skills

  • /abaqus-thermal-analysis - Thermal-only (heat transfer without stress)
  • /abaqus-static-analysis - Structural-only (no thermal effects)
  • /abaqus-field - Import temperature fields from external sources
  • /abaqus-material - Material property definitions
  • /abaqus-step - Analysis step configuration

Code Patterns

For API syntax 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 Coupled Analysis AI skill do?

Complete workflow for coupled thermomechanical analysis. Use when user mentions thermal stress, thermal expansion, or temperature causing deformation.

Why use Abaqus Coupled Analysis on TypingMind?

Because you install it once and use it with any model. Abaqus Coupled 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 Coupled 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-coupled-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 Coupled 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 Coupled Analysis?

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

Is the Abaqus Coupled 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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