Physics-Informed Surrogate Modeling of Urban Wind Environments under SparseMeasurements: A Pressure-Free Parameterized PINN with Soft Geometric Constraints
Published: 2 March 2026| Version 1 | DOI: 10.17632/z9xxj24rdp.1
Contributors:
Hongyuan Huo, , Description
Field survey dataset-meteorological dataset, and High-fidelity CFD datasets for parameterized PINN modeling
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Institutions
- Beijing University of TechnologyBeijing, Beijing
Categories
Computational Fluid Dynamics, Wind Engineering