Published November 27, 2025 | Version v1.0.0

A High-Fidelity Dataset of Surface Pressure Measurements on Prismatic Buildings from Boundary-Layer Wind Tunnel Tests: Part IV - High-Rise Prismatic Buildings with Square Cross-Sections and Flat Roofs

  • 1. ROR icon RWTH Aachen University

Description

Description:

This repository contains detailed boundary-layer wind tunnel façade pressure measurements for three modular high-rise buildings with flat roofs, representing slenderness ratios λ = 4, 6, and 8. The experiments were conducted at a geometric scale of 1:150 under terrain category II/III inflow conditions. Each model façade was instrumented with high spatial resolution, and pressure coefficient time series were recorded for 32 inflow directions in 11.25° increments, using 30 statistically independent storm events per direction. The HDF5 datasets include pre-processed, tubing-corrected pressure coefficient time series, along with statistical datasets covering mean values, distribution moments, Gumbel-based characteristic pressures, and peak factors relevant for fatigue assessments and structural design. Each building model is supplemented by a PDF datasheet with geometry information, tap layout, and representative evaluation figures.

The structure of all datasets follows the documentation described in the corresponding Datapaper, which provides a complete overview of the experimental setup, preprocessing methods, data organization, and underlying FAIR principles.

This repository supports applications in wind engineering, tall building design, fatigue assessment, and CFD validation for high-rise structures.

Overview of available Datasets:

Model Roof shape Parapet ratio Roof slope Dimensions
A0H4W1L1 flat 0 0 4:1:1
A0H6W1L1 flat 0 0 6:1:1
A0H8W1L1 flat 0 0 8:1:1

If you use this dataset, please cite as provided in the corresponding Zenodo panel.

Please also cite the associated Datapaper, which provides the full dataset description, documentation, and usage context.

Files

readme.txt

Files (9.4 GB)

Name Size
md5:db3a839e4107479cc0607c0a9d8f96be
2.0 GB Preview Download
md5:c8408113871556cad6390db74e1dfe79
1.4 MB Preview Download
md5:a79a9822c768d27938130b7bf436e1d6
2.8 GB Preview Download
md5:73d788569b7d74593361be9e07f53086
1.4 MB Preview Download
md5:9b1e2ba7cb19470e95f7ce1e6c4f4a53
4.5 GB Preview Download
md5:db9394ff739c642b2b7a9d8f4d960d37
1.9 MB Preview Download
md5:3a0655ac92c669b429986a823ada9e4f
3.8 kB Preview Download

Additional details

Related works

Is documented by
Data paper: 10.5281/zenodo.17748793 (DOI)
References
Dataset: 10.5281/zenodo.17737078 (DOI)
Dataset: 10.5281/zenodo.17737055 (DOI)
Dataset: 10.5281/zenodo.17671165 (DOI)

Funding

Deutsche Forschungsgemeinschaft
Identifikation realistischer Fluktuationsgeschwindigkeiten von Windlasten an Bauwerksfassaden und Modellierung ihrer langzeitigen Kollektive 507221621

Software

Repository URL
https://git-ce.rwth-aachen.de/cwe-openworks/zenodo/hdf_toolkit
Programming language
Python
Development Status
Active