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2025 - 2026
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Wind Eng.

Stefanie Gillmeier

Anjali K.R. Jayakumari

Giulio Vita

Mingzhe He

Stefano Cammelli

Rubina Ramponi

+2 more

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2025 - 2026
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Wind Eng.

UK Wind Engineering Society Benchmark Study on Pedestrian Level Winds

WES

Wind comfort

Dataset Description

This dataset provides high-quality velocity measurements for the assessment of pedestrian wind comfort around a tall building located within a densely built urban environment. The test specimen consists of a detailed scale model inspired by the Deansgate area in Manchester city center, United Kingdom. The project forms part of a benchmarking test campaign aimed at supporting and complementing existing wind tunnel testing guidelines, and position papers addressing best practices for pedestrian-level wind microclimate assessments. Experiments were conducted in the closed-circuit Atmospheric Boundary Layer Wind Tunnel (ABLWT) facility at Eindhoven University of Technology. Pedestrian-level velocity measurements were primarily obtained using Irwin probes. The experimental program investigated the effects of wind directionality, variations in the massing of the target building, the presence of mitigation elements, and the influence of Irwin probe layout density. Reynolds number independence was also assessed for a selected wind direction by testing three different approach-flow wind speeds.

Pedestrian level wind comfort assessment
safety
built environment
urban model

Specimens

1. Scale Model of a City Center

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This specimen is a detailed scale model inspired by the Deansgate area of Manchester City Centre in the United Kingdom. It represents a 1.04 km‑diameter section of dense urban development at a 1:400 scale. A designated Building of Interest (BOI) is positioned at the center of the model. To investigate the influence of architectural form on local wind-flow patterns, three distinct BOI configurations were considered: BOI1, a concave sharp-edged configuration; BOI2, a curved, curvilinear wedge-shaped configuration; and BOI3, the concave sharp-edged configuration incorporating vertical fins. All building models are mounted on a 2.6 m‑diameter circular plexiglass (PMMA) base plate, where the building outlines and labels are precisely engraved to ensure accurate placement and alignment. The 3D building models are produced using a Bambu Lab X1 Carbon 3D printer equipped with a high‑speed CoreXY motion system. PLA filament is used as the primary printing material, enabling geometric detail down to 1 mm. After fabrication, each building is carefully adhered to the engraved base plate and positioned within the test section.

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1. Atmospheric boundary layer characterization

The atmospheric boundary layer (ABL) generated represents wind flow over rough terrain, in accordance with VDI guidelines. It is simulated using vortex generators and arrays of roughness elements within the facility. The vortex generators comprise three spires modeled based on the design suggested by Irwin, featuring a base width of 0.5 m, a top width of 0.04 m, and an added base extension. The roughness elements comprise a combination of 0.06 × 0.06 m² and 0.04 × 0.04 m² sized ‘L-shaped’ metal components on a fetch of 12 m.

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Instrumentation

The streamwise (u), lateral (v), and vertical (𝑤) velocity components were measured using a Vectoflow Fast Response Air Probe (FRAP). This five‑hole probe integrates its pressure sensors directly into the probe body, enabling high‑frequency, multi‑directional flow measurements. Velocity data were collected along the centerline of the turntable at multiple heights ranging from 0.01 to 0.75 m, with each measurement recorded for 120 s at a sampling frequency of 1000 Hz. A fully automated traverse system provided precise vertical positioning of the probe, achieving a placement accuracy better than 1 mm.

2. Reynolds number test

This experiment was conducted to confirm the independency of the measured velocity field on the Reynolds number. Measurements were performed at three different approach-flow wind speeds for a wind direction of 0° (wind from the north). The target building of interest was BOI1. Reynolds numbers were calculated based on the reference height of the target building (150 m at full scale). The resulting Reynolds numbers were 9.14 × 10⁷, 1.05 × 10⁸ and 1.20 × 10⁸, corresponding to approach wind speeds of 9 m/s, 10.3 m/s, and 11.8 m/s, respectively. An ultrasonic anemometer was located in the free stream to measure the approaching wind velocity to determine the reference velocity at the test section at heights of 60 m, 120 m and 150 m, using pre determined calibration factors. The data set provided uses the reference velocity at 120 m height for determining the velocity ratio time series.

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Instrumentation

Wind velocity measurements were obtained using Irwin probes installed at a model height corresponding to 1.5 m at full scale. Each Irwin probe was connected to two pressure channels of a Scanivalve MPS4264 pressure scanner using 1 m long urethane tubes with an internal diameter of 1.37 mm to measure the differential pressure. To correct for any phase and amplitude distortions introduced by the pressure tubing system, tubing transfer functions are applied to the pressure time series. The instantaneous pressure difference was derived from the recorded pressure time series and converted to velocity using a pre-established calibration relationship. A total of 128 Irwin probes were mounted on the turntable surrounding the target building (BOI1). To accommodate the required number of pressure channels, four pressure scanners were employed, each equipped with 64 transducers. Data were recorded for a duration of 300 s at a sampling frequency of 800 Hz.

3. Effect of wind direction on pedestrian comfort

To understand how the selection of wind directions affects the pedestrian comfort assessment, tests were carried out for a wide range of incoming wind angles. For the general assessment, the full 360° range was tested at 30° intervals. Because the prevailing wind direction is mainly between 170° and 280°, this sector was examined in more detail using 10° increments. To check whether the standard 10° to 30° spacing is sufficient, an additional set of tests was performed for the baseline configuration (BOI1 without mitigation). In this case, wind direction was varied at 5° intervals, resulting in 72 wind directions. This finer resolution helps to identify any variations that may not be captured using larger angular steps.

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Instrumentation

Same as experiment 2.

4. Effect of massing variation on pedestrian comfort – three different BOIs

To examine how variations in architectural massing influence wind flow and pedestrian comfort, three different BOI configurations were tested. BOI1 represents a concave, sharp‑edged form that serves as the reference configuration. BOI2 features a curved, wedge‑shaped geometry with smooth, rounded edges, allowing comparison between sharp and streamlined forms. BOI3 uses the same concave, sharp‑edged layout as BOI1 but incorporates vertical fins to assess how simple aerodynamic additions can modify the local wind environment. By comparing these three massing setups, the experiment aims to understand how changes in building form affect wind patterns at pedestrian level.

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Instrumentation

Same as experiment 2.

5. Effect of presence of mitigation elements on pedestrian comfort

To assess how mitigation measures can reduce adverse wind effects around the building, three mitigation scenarios were tested for the BOI1 configuration. These scenarios represent commonly used wind‑mitigation strategies (i) vertical porous screens, (ii) a canopy placed at the base of the BOI, and (iii) soft landscaping elements - trees.

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Instrumentation

Same as experiment 2.

6. Effect of Irwin probe layout density on pedestrian comfort assessment

To examine how the density of Irwin probe placement influences the pedestrian comfort assessment, two probe layouts were tested for the BOI1 configuration without mitigation elements. The normal layout consisted of 128 probes, representing the standard measurement resolution. An additional 24 probes were added to create a dense layout with a total of 152 probes, allowing for a more detailed mapping of local wind conditions.

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Instrumentation

Same as experiment 2.

Dataset in Public Repository

DOI

10.4121/2950d043-1927-47ad-8e90-86c35faddd66

Publication Date

18 May 2026, 10:57

Project Metadata

Rights

Creative Commons Attribution 4.0 International.

CC BY 4.0

CC BY 4.0

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