Comparative evaluation of wind tunnel and analytical models against field data over heterogeneous terrain

• Field hurricane data from nine sites benchmark wind tunnel and analytical methods. • Wind tunnel tests compare heterogeneous and homogeneous terrain representations. • Terrain-aware analytical model accurately captures roughness transition effects. • Analysis identifies when heterogeneous modeling outperforms homogeneous approach. • Results clarify trade-offs between wind tunnel methods and analytical models. Wind profile estimation is essential for predicting wind loads on structures during design. The limitations of the homogeneous-roughness assumption are increasingly recognized, prompting the development of wind tunnel experiments and analytical methods that account for roughness transitions across heterogeneous terrain. However, validation of these methods against field data remains limited. This study evaluates the ability of wind tunnel experiments and an analytical approach to replicate near-surface wind profiles over complex heterogeneous terrain. Field measurements collected at nine coastal sites during hurricane events were used for validation. Upwind terrain was modeled using high-resolution satellite imagery and physically reproduced using the Terraformer system at the University of Florida. Analytical wind profiles were generated using the extended Deaves-Harris model. Prediction performance was quantified using the coefficient of determination, mean absolute percentage error, and mean absolute error. Results show that the heterogeneous wind tunnel method outperformed the homogeneous assumption as overall roughness length increased. Conversely, the homogeneous assumption performed comparably to or better than the heterogeneous method at lower roughness levels, suggesting its continued applicability for smoother terrain where surface variability is less influential. Analytical models exhibited comparable performance to that of physical testing in several cases, highlighting their potential for efficient preliminary assessments. Through this comparative evaluation, this study critically examines the applicability and limitations of each modeling approach, and provides practical guidance for selecting appropriate wind profile modeling strategies based on terrain complexity.

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Publication Details

Journal
Building and Environment
Published
2025-11-20
DOI
https://doi.org/10.1016/j.buildenv.2025.114025
Primary Topic
Wind and Air Flow Studies
Type
article
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article

Comparative evaluation of wind tunnel and analytical models against field data over heterogeneous terrain

Lee-Sak An, Sungmoon Jung, Sejin Kim
Building and Environment
Wind and Air Flow Studies
article

Comparative evaluation of wind tunnel and analytical models against field data over heterogeneous terrain

Lee-Sak An, Sungmoon Jung, Sejin Kim
article en

Abstract

• Field hurricane data from nine sites benchmark wind tunnel and analytical methods. • Wind tunnel tests compare heterogeneous and homogeneous terrain representations. • Terrain-aware analytical model accurately captures roughness transition effects. • Analysis identifies when heterogeneous modeling outperforms homogeneous approach. • Results clarify trade-offs between wind tunnel methods and analytical models. Wind profile estimation is essential for predicting wind loads on structures during design. The limitations of the homogeneous-roughness assumption are increasingly recognized, prompting the development of wind tunnel experiments and analytical methods that account for roughness transitions across heterogeneous terrain. However, validation of these methods against field data remains limited. This study evaluates the ability of wind tunnel experiments and an analytical approach to replicate near-surface wind profiles over complex heterogeneous terrain. Field measurements collected at nine coastal sites during hurricane events were used for validation. Upwind terrain was modeled using high-resolution satellite imagery and physically reproduced using the Terraformer system at the University of Florida. Analytical wind profiles were generated using the extended Deaves-Harris model. Prediction performance was quantified using the coefficient of determination, mean absolute percentage error, and mean absolute error. Results show that the heterogeneous wind tunnel method outperformed the homogeneous assumption as overall roughness length increased. Conversely, the homogeneous assumption performed comparably to or better than the heterogeneous method at lower roughness levels, suggesting its continued applicability for smoother terrain where surface variability is less influential. Analytical models exhibited comparable performance to that of physical testing in several cases, highlighting their potential for efficient preliminary assessments. Through this comparative evaluation, this study critically examines the applicability and limitations of each modeling approach, and provides practical guidance for selecting appropriate wind profile modeling strategies based on terrain complexity.

Building and EnvironmentVol. 288
Florida A&M University - Florida State University College of Engineering (US), Chungbuk National University (KR), Kongju National University (KR)
Openalex Percentile: Top 67%
Wind and Air Flow Studies
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