Overview

This tutorial explains how to reconstruct a 3D urban geometry from sensor or point-cloud data and prepare it for CFD simulations.

Learning Objectives

• Import sensor or point-cloud data.
• Reconstruct an urban geometry.
• Clean and simplify the geometry.
• Export a CFD-ready model.

Requirements

• Python
• City4CFD
• ParaView
• MeshLab / Blender
• OpenFOAM

Input Data

• Dataset:
• Geometry files:
• Sensor files:

Step-by-Step Tutorial

Step 1. Load the input data

Explain the first step.

Step 2. Reconstruct the geometry

Explain the reconstruction process.

Step 3. Clean the geometry

Explain how to remove errors, simplify surfaces, and prepare the model.

Step 4. Export for CFD

Explain the final export format and CFD requirements.

Expected Outputs

• Reconstructed geometry.
• CFD-ready surface.
• Example visualization.

Related Links

• Notebook:
• Video:
• Dataset:
• Repository:

Contributors

• Name Surname