3D Wind Flow Around Building Visualization

This interactive application demonstrates computational fluid dynamics (CFD) simulation of wind flow around a parameterized building using deep learning. The model was trained using NVIDIA Modulus to solve the Navier-Stokes equations with turbulence modeling.

Features

Real-time Visualization: Instantly see how wind flows around buildings of different sizes and positions
Interactive Parameters:
- Building position (X, Y)
- Building dimensions (width, depth, height)
Multiple Views:
- Velocity magnitude at mid-height
- Pressure distribution
- 3D streamlines showing flow patterns

Technical Details

Physics: 3D steady-state Navier-Stokes with turbulence model
Domain: [0,10] x [0,5] x [0,5] meters
Inlet Conditions: 10 m/s uniform flow
Model: FourierNet trained using NVIDIA Modulus
Hardware: GPU-accelerated inference

How to Use

Use the sliders in the sidebar to adjust building parameters
The visualizations will update in real-time:
- Top left: Velocity magnitude contour
- Top right: Pressure distribution
- Bottom: 3D streamlines with building geometry
You can rotate and zoom the 3D view using your mouse

About

This demo showcases the application of deep learning to computational fluid dynamics, enabling real-time prediction of complex flow fields. The model was trained on parametric building geometries to understand flow patterns and pressure distributions around buildings of varying sizes and positions.