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Abaqus Shape Optimization

CommunityPopular
Cai-aa
abaqus-shape-optimization

Optimize fillet/notch geometry. Use when user mentions stress concentration, fillet optimization, reshaping surfaces, or reducing peak stress. Moves surfaces only.

Overview

PublisherCai-aa
RepositoryCAE-Agent-Hub
Skill nameabaqus-shape-optimization
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 Shape Optimization 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/optimization/abaqus-shape-optimization
  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/optimization/abaqus-shape-optimization .claude/skills/abaqus-shape-optimization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Abaqus Shape Optimization 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 Shape Optimization 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 Shape Optimization 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 Shape Optimization Skill

Optimize surface geometry to reduce stress concentrations. Shape optimization moves existing surfaces without adding or removing material.

When to Use This Skill

Route here when user mentions:

  • "stress concentration", "reduce peak stress"
  • "fillet optimization", "optimize fillet radius"
  • "reshape surface", "smooth geometry"
  • "improve fatigue life", "notch optimization"

Route elsewhere:

  • Adding/removing material (holes, organic forms) → /abaqus-topology-optimization
  • Low-level optimization setup → /abaqus-optimization
  • Running the optimization job → /abaqus-job

Shape vs Topology Optimization

AspectShape OptimizationTopology Optimization
What changesSurface positionsMaterial presence
ResultSmooth surfacesHoles, organic forms
ManufacturingTraditional machiningOften needs AM/casting
Design freedomLimitedHigh
Best forRefine existing designConceptual design

Rule of thumb: Use shape optimization when you have a good design with local stress issues. Use topology when starting fresh or need major redesign.

Prerequisites

Before shape optimization:

  1. ✅ Working static analysis that converges
  2. ✅ Identified high-stress surface region
  3. ✅ Full Abaqus license with Tosca (not Learning Edition)

Workflow: Shape Optimization

Step 1: Run Baseline Analysis

Run static analysis to identify stress concentrations. Note peak stress location and magnitude for comparison baseline.

Step 2: Identify Design Surfaces

Ask user if unclear: Which surfaces can be modified? Which must remain fixed?

Only select surfaces that can be modified in manufacturing, are not functional interfaces, and don't have attached features.

Step 3: Define Movement Limits

Get maximum growth/shrink (mm). Typical values: 3-10mm depending on part size.

Step 4: Choose Objective

User GoalObjectiveDesign Response
Reduce stress concentrationMINIMIZE_MAXIMUMSTRESS (MISES)
Uniform stress distributionMINIMIZE_MAXIMUMMAX_PRINCIPAL_STRESS
Maximize stiffnessMINIMIZE_MAXIMUMSTRAIN_ENERGY

Step 5: Add Constraints and Geometric Restrictions

Protect critical regions: BC surfaces, load surfaces, mating interfaces, precision features.

Common constraints: volume ≤ initial, maintain planar surfaces, mesh quality.

Step 6: Run Optimization

Set design cycles (20-30) and submit the optimization process.

Key Parameters

ParameterRecommendedNotes
Max movement3-10mmBased on part size
Design cycles20-30More for complex shapes
Mesh qualityMEDIUMBalance speed/quality
SmoothingLAPLACIANPrevents mesh distortion

What to Ask User

If not specified, clarify:

  1. Which surface to reshape? - "The inner fillet at the L-bracket corner"
  2. Maximum allowed movement? - "Up to 5mm growth, 3mm shrink"
  3. Stress reduction target? - "Reduce from 450 MPa to under 300 MPa"
  4. Volume constraint? - "Keep volume within 5% of original"

Validation Checklist

After optimization completes, verify:

  • Peak stress reduced at critical location
  • Volume constraint satisfied
  • Geometry still manufacturable
  • No mesh distortion warnings
  • Results converged (objective stable)

Post-Processing

  1. Compare initial vs optimized stress contours
  2. Export modified geometry if needed
  3. Run final validation FEA on optimized shape
  4. Check manufacturability with CAM or manufacturing engineer

Troubleshooting

ProblemLikely CauseSolution
Mesh distortionMovement limits too largeReduce max growth/shrink
No improvementWrong design surfacesVerify surface selection
Convergence failureAggressive optimizationAdd smoothing, smaller steps
Volume increaseNo volume constraintAdd volume ≤ initial constraint
"License error"No Tosca moduleRequires full Abaqus

Code Patterns

For actual API syntax and code examples, see:

Related Skills

  • /abaqus-optimization - Base optimization API and concepts
  • /abaqus-topology-optimization - For material removal optimization
  • /abaqus-static-analysis - Required baseline analysis

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 Shape Optimization AI skill do?

Optimize fillet/notch geometry. Use when user mentions stress concentration, fillet optimization, reshaping surfaces, or reducing peak stress. Moves surfaces only.

Why use Abaqus Shape Optimization on TypingMind?

Because you install it once and use it with any model. Abaqus Shape Optimization 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 Shape Optimization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/abaqus/optimization/abaqus-shape-optimization. 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 Shape Optimization?

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 Shape Optimization?

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

Is the Abaqus Shape Optimization 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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