Generalized Geometry Projection (GGP)

A modular Python framework for structural Topology Optimization using the Generalized Geometry Projection (GGP) method, built on FEniCS and GEMSEO.

The framework supports Free (2D/3D) and Additive Layer Manufacturing (ALM, 2D/3D) projection formulations, gradient-based optimization via MMA / SLP / CONLIN, and config-driven problem definitions loadable from YAML files.

Contents:

• Installation Guide
  • System Requirements
  • Step 1: Install Conda
  • Step 2: Clone the Repository
  • Step 3: Create the Conda Environment
  • Step 4: Activate the Environment
  • Step 5: Install the Package
  • Step 6: Verify the Installation
• Command-Line Interface (CLI)
  • Command Overview
  • Examples
  • YAML Problem Definition Format
• Developer Guide
  • Mathematical Foundation
  • Finite Element Solver
  • Architecture & Design Patterns
  • Performance Monitoring
  • Citations
• API Reference
  • Problem Specification
  • Geometry I/O & Parsers
  • Discretisation
  • Projection Mappers
  • Optimization Pipeline
  • GEMSEO Wrappers
  • Physics Solvers
• 3D Topology Optimization Framework
  • 3D Formulations
  • High-Performance Solving (FEniCS + PETSc)
  • XDMF Visualization & ParaView
  • CLI Usage
• Additive Manufacturing Constraints
  • Variable Layout
  • Printing Plane Transform
  • MNA Characteristic Function
  • Overhang Angle Constraints
  • Bridge Length Constraints
  • Feature Summary
• Reaching improved local minima in GGP topology optimization
  • 1. The problem
  • 2. State of the art
  • 3. What we implemented
  • 4. Benchmark: Short Cantilever 2D
  • 5. Stress-constrained GGP: making the adaptive allowable converge
  • 6. Reproducing & extending
  • References
• Sequential Convex Programming (SCP) Framework
  • Overview
  • Algorithms
  • Monotone Backtracking Line-Search
  • Inner Solvers
  • Settings Configuration
• Examples
  • Short Cantilever
  • MBB Beam
  • L-Shape Bracket
  • ALM Cantilever
  • 3D Cantilever
  • Regenerating the images
• Credits & Dependencies
  • Core Scientific Libraries
  • Meshing
  • Development & Documentation
  • Academic References