AIWE- Artificial Intelligence for Wind Engineering

Abstract
This project aims to address the forefront of artificial intelligence-enabled engineering disciplines and the critical national needs of urban safety and low-altitude economy. It focuses on developing data-driven and physics-informed intelligent computation methods for urban wind fields, and establishing high spatiotemporal resolution intelligent computation models for urban wind fields. This research will provide scientific support for urban disaster prevention and mitigation and low-altitude flight safety.

This study is intended for testing purposes only and may not be used for any academic or commercial purposes without the author's consent.

Guidelines

Geometry：3D binary matrix with a shape of (1, 1, 256, 256, 16)

Sparse wind matrix：3D sparse wind matrix with a shape of (1, 3, 256, 256, 16)

Sparse-to-3D: Reconstruction of Urban Turbulent Wind Flow Field Based on Extremely Sparse Wind