# 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

1. Use the sliders in the sidebar to adjust building parameters
2. The visualizations will update in real-time:
   - Top left: Velocity magnitude contour
   - Top right: Pressure distribution
   - Bottom: 3D streamlines with building geometry
3. 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.