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Urban Fluid MechanicsSpecial Interest Group

Machine-learning prediction of roof pressure coefficients on low-rise buildings

Simulation

Python code for regression and machine-learning models predicting area-averaged external pressure coefficients on low-rise buildings. Useful for wind-load surrogates.

Get the code

Zenodo DOI 10.5281/zenodo.21993589
Licence
CC BY 4.0 Free to use and share, including commercially, as long as you credit the creators.
Size
32 kB

How to cite

YANG, M. (2026). Machine Learning Prediction and Analysis of Area-Averaged External Pressure Coefficients for Low-Rise Dual-Slope Building Roofs in a Uniform Turbulent Flow Field [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21993589

Check the repository for the citation its authors prefer.

Details

Resource
Software & tools
Method
ML / surrogate
Geometry
Single building
Topic
Wind loads & pedestrian wind
Quantities
Pressure / Cp
Year
2026
Creators
YANG, MENGCHANG
Institution
Dongshin University

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From Zenodo, added 2026-11-07. Listed there as “Machine Learning Prediction and Analysis of Area-Averaged External Pressure Coefficients for Low-Rise Dual-Slope Building Roofs in a Uniform Turbulent Flow Field”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.