Pub Date : 2025-11-18DOI: 10.1016/j.jweia.2025.106289
Tingyuan Yan , Jingxi Qin , Mingjin Zhang , Jiale Long , Jinxiang Zhang , Yongle Li
The wind field in mountainous regions is shaped by the combined effects of complex terrain and atmospheric stratification, resulting in diverse wind profile structures. This study utilized Doppler wind profilers and sonic anemometers for long-term field observations, aiming to identify wind profile patterns and their associated turbulent transport characteristics in complex mountainous regions. Unsupervised clustering analysis of the observed wind profile data was performed using a Self-Organizing Map (SOM) neural network. The results characterize the spatiotemporal evolution of wind profiles from the perspective of typical thermal stratification in mountainous wind fields. Based on the vertical transport of momentum and heat, the study identifies the turbulent transport characteristics and atmospheric stability regimes associated with different wind profile patterns. Furthermore, Evolutionary Power Spectral Density (EPSD) analysis reveals the time-frequency distribution of turbulent kinetic energy throughout wind profile evolution, highlighting the substantial impact of atmospheric stability on the partitioning of wind energy.
{"title":"Investigation of wind profile and turbulent transport patterns in complex mountainous terrain based on clustering analysis","authors":"Tingyuan Yan , Jingxi Qin , Mingjin Zhang , Jiale Long , Jinxiang Zhang , Yongle Li","doi":"10.1016/j.jweia.2025.106289","DOIUrl":"10.1016/j.jweia.2025.106289","url":null,"abstract":"<div><div>The wind field in mountainous regions is shaped by the combined effects of complex terrain and atmospheric stratification, resulting in diverse wind profile structures. This study utilized Doppler wind profilers and sonic anemometers for long-term field observations, aiming to identify wind profile patterns and their associated turbulent transport characteristics in complex mountainous regions. Unsupervised clustering analysis of the observed wind profile data was performed using a Self-Organizing Map (SOM) neural network. The results characterize the spatiotemporal evolution of wind profiles from the perspective of typical thermal stratification in mountainous wind fields. Based on the vertical transport of momentum and heat, the study identifies the turbulent transport characteristics and atmospheric stability regimes associated with different wind profile patterns. Furthermore, Evolutionary Power Spectral Density (EPSD) analysis reveals the time-frequency distribution of turbulent kinetic energy throughout wind profile evolution, highlighting the substantial impact of atmospheric stability on the partitioning of wind energy.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"268 ","pages":"Article 106289"},"PeriodicalIF":4.9,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-18DOI: 10.1016/j.jweia.2025.106286
Sankang Yin , Yezhan Li , Naoki Ikegaya
Gustiness of turbulent outdoor wind has attracted significant research interest recently. Computational fluid dynamics (CFD) simulations and wind-tunnel experiments (WTEs) perform well in reproducing microscale turbulent phenomena. However, outdoor wind fields consist of the superimposition of various-scale turbulent phenomena covering from microscale to mesoscale. To effectively apply the knowledge obtained from WTEs and CFD, it is essential to clarify the statistical characteristics of realistic outdoor airflow at time scales shorter than the period defined by the spectral gap split. Therefore, based on high-frequency meteorological data, the variation in the fundamental statistics in 10 min of outdoor airflow was stochastically examined for a coastal region of Japan, Fukuoka. The relationship between statistics holds across various observation stations. Additionally, the probability density functions (PDFs) of the statistics exhibit a high degree of consistency regardless of location. Furthermore, specific weak wind conditions were differentiated by using higher-order statistics and peaks of the wind speeds in 10 min. This also clarifies the necessity of PDF models for actual weak wind conditions. These findings are expected to enhance the understanding of how real complex terrain influences wind field characteristics in urban areas and provide data support for developing statistical models for CFD simulations and WTEs.
{"title":"Variations in fundamental statistics of wind speeds based on high-frequency meteorological station data in Fukuoka, Japan","authors":"Sankang Yin , Yezhan Li , Naoki Ikegaya","doi":"10.1016/j.jweia.2025.106286","DOIUrl":"10.1016/j.jweia.2025.106286","url":null,"abstract":"<div><div>Gustiness of turbulent outdoor wind has attracted significant research interest recently. Computational fluid dynamics (CFD) simulations and wind-tunnel experiments (WTEs) perform well in reproducing microscale turbulent phenomena. However, outdoor wind fields consist of the superimposition of various-scale turbulent phenomena covering from microscale to mesoscale. To effectively apply the knowledge obtained from WTEs and CFD, it is essential to clarify the statistical characteristics of realistic outdoor airflow at time scales shorter than the period defined by the spectral gap split. Therefore, based on high-frequency meteorological data, the variation in the fundamental statistics in 10 min of outdoor airflow was stochastically examined for a coastal region of Japan, Fukuoka. The relationship between statistics holds across various observation stations. Additionally, the probability density functions (PDFs) of the statistics exhibit a high degree of consistency regardless of location. Furthermore, specific weak wind conditions were differentiated by using higher-order statistics and peaks of the wind speeds in 10 min. This also clarifies the necessity of PDF models for actual weak wind conditions. These findings are expected to enhance the understanding of how real complex terrain influences wind field characteristics in urban areas and provide data support for developing statistical models for CFD simulations and WTEs.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"268 ","pages":"Article 106286"},"PeriodicalIF":4.9,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-18DOI: 10.1016/j.jweia.2025.106288
Zhuolei Yu , Yi Wang , Songheng Wu , Jukun Wang , Xiaoxue Wang
The urbanization process in the Loess Plateau region, while promoting economic development, also faces the problem that ambient air is seriously polluted. Good urban ventilation can alleviate the contradiction between urban development and livable environment. Therefore, the study focuses on the effect of built-up area expansion on ventilation characteristics for Loess Tableland valley town under the stable background wind. The results simulated by the city-scale computational fluid dynamics (CSCFD) model show that the ventilation performance of urban canopy layer (UCL) with direct interaction between the stable background wind and street canyon airflow is significantly better than that of the UCL with indirect interaction. When the built-up area expands on the valley floor, the expansion is favorable to improve the air quality in the UCL at the background Reynolds number (Reb) less than 5.80 × 105. When the built-up area expands on the top surface of Loess Tableland, the expansion at Reb ≥ 1.55 × 106 causes a maximum increase of 133.21 % and 64.47 % in the average air age in the upstream UCL and downstream UCL, respectively, which deteriorates the air quality in both the UCLs. This study provides a theoretical reference for future urban planning and optimum location of industrial zones.
{"title":"Effect of built-up area expansion on urban ventilation over Loess Tableland valley terrain under stable background wind","authors":"Zhuolei Yu , Yi Wang , Songheng Wu , Jukun Wang , Xiaoxue Wang","doi":"10.1016/j.jweia.2025.106288","DOIUrl":"10.1016/j.jweia.2025.106288","url":null,"abstract":"<div><div>The urbanization process in the Loess Plateau region, while promoting economic development, also faces the problem that ambient air is seriously polluted. Good urban ventilation can alleviate the contradiction between urban development and livable environment. Therefore, the study focuses on the effect of built-up area expansion on ventilation characteristics for Loess Tableland valley town under the stable background wind. The results simulated by the city-scale computational fluid dynamics (CSCFD) model show that the ventilation performance of urban canopy layer (UCL) with direct interaction between the stable background wind and street canyon airflow is significantly better than that of the UCL with indirect interaction. When the built-up area expands on the valley floor, the expansion is favorable to improve the air quality in the UCL at the background Reynolds number (<em>Re</em><sub>b</sub>) less than 5.80 × 10<sup>5</sup>. When the built-up area expands on the top surface of Loess Tableland, the expansion at <em>Re</em><sub>b</sub> ≥ 1.55 × 10<sup>6</sup> causes a maximum increase of 133.21 % and 64.47 % in the average air age in the upstream UCL and downstream UCL, respectively, which deteriorates the air quality in both the UCLs. This study provides a theoretical reference for future urban planning and optimum location of industrial zones.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"268 ","pages":"Article 106288"},"PeriodicalIF":4.9,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-11DOI: 10.1016/j.jweia.2025.106272
Thet Ei, Kyohei Noguchi, Hisato Matsumiya, Saeri Hara, Tomomi Yagi
Discrete fairings are short fairing segments arranged at intervals along the bridge deck. This study examines the effect of the interval and length of discrete fairings on aerodynamic instability, with particular emphasis on their potential to cause additional three-dimensional effects. Therefore, the flutter and vortex-induced vibration (VIV) characteristics of a torsional one-degree-of-freedom system featuring a 10:1 rectangular prism were examined. Two parameters were utilized to define the discrete fairings: fairing ratio— the ratio of a fairing length to the summation of a fairing length and an interval—and fairing length. A series of wind tunnel tests were conducted on a rectangular prism with and without solid walls to examine the aerodynamic performance of the discrete fairings. The results indicated that all configurations with discrete fairings, except the case with a single fairing, suppressed torsional flutter. Even a single fairing demonstrated improved performance, likely attributed to enhanced flow separation characteristics. For prisms with solid walls, all discrete fairing setups—except a certain case—significantly reduced VIV amplitudes compared with full fairings, attributed to the generation of additional three-dimensional effects, although torsional flutter was not eliminated. These results highlight the significance of additional three-dimensional effects of discrete fairings in enhancing aerodynamic stability.
{"title":"Effects of discrete fairings on torsional aerodynamic vibrations of a bridge deck","authors":"Thet Ei, Kyohei Noguchi, Hisato Matsumiya, Saeri Hara, Tomomi Yagi","doi":"10.1016/j.jweia.2025.106272","DOIUrl":"10.1016/j.jweia.2025.106272","url":null,"abstract":"<div><div>Discrete fairings are short fairing segments arranged at intervals along the bridge deck. This study examines the effect of the interval and length of discrete fairings on aerodynamic instability, with particular emphasis on their potential to cause additional three-dimensional effects. Therefore, the flutter and vortex-induced vibration (VIV) characteristics of a torsional one-degree-of-freedom system featuring a 10:1 rectangular prism were examined. Two parameters were utilized to define the discrete fairings: fairing ratio— the ratio of a fairing length to the summation of a fairing length and an interval—and fairing length. A series of wind tunnel tests were conducted on a rectangular prism with and without solid walls to examine the aerodynamic performance of the discrete fairings. The results indicated that all configurations with discrete fairings, except the case with a single fairing, suppressed torsional flutter. Even a single fairing demonstrated improved performance, likely attributed to enhanced flow separation characteristics. For prisms with solid walls, all discrete fairing setups—except a certain case—significantly reduced VIV amplitudes compared with full fairings, attributed to the generation of additional three-dimensional effects, although torsional flutter was not eliminated. These results highlight the significance of additional three-dimensional effects of discrete fairings in enhancing aerodynamic stability.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"268 ","pages":"Article 106272"},"PeriodicalIF":4.9,"publicationDate":"2025-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-10DOI: 10.1016/j.jweia.2025.106273
Haobo Liang , Yunfeng Zou , Chenzhi Cai , Xiangrong Guo , Xuhui He
Maintaining the running safety of high-speed trains subjected to crosswinds remains a critical challenge in railway bridge engineering. This issue is particularly pronounced in mountainous regions, where long-span bridges are frequently exposed to highly turbulent winds. The turbulent nature in such environments significantly affects the aerodynamic behavior of bluff bodies such as trains and bridges. This study investigates how varying levels of turbulence intensity (Iu), ranging from 4.88 % to 13.47 % under a fixed integral length scale (Lu), affect the aerodynamic characteristics and dynamic interactions within a train-bridge system. Results from wind tunnel tests and numerical modeling reveal that turbulent inflow reduces the drag forces on both the train and the bridge compared with nearly smooth conditions. As the Iu increases, the mean wind load acting on the train's windward side decreases. However, pressure fluctuations become more pronounced and are expressed as root-mean-square (RMS) values. A three-dimensional coupled vibration model was developed to further examine these effects. The analysis reveals that the lateral displacement and safety-related indices (e.g., derailment coefficient) of the train increase as Iu rises. At an Iu of 13.47 %, the derailment coefficient of the train is observed to increase by 17.86 % compared with that under smooth flow conditions. These results demonstrate that the train's dynamic responses are highly sensitive to pulsating pressure variations in turbulent wind fields. The findings provide valuable insights into the aerodynamic stability and safety assessment of high-speed rail systems operating on long-span bridges exposed to complex turbulent winds typical of mountainous terrains.
{"title":"Effects of turbulence intensity on the running safety of trains on large-span suspension bridges in mountainous areas","authors":"Haobo Liang , Yunfeng Zou , Chenzhi Cai , Xiangrong Guo , Xuhui He","doi":"10.1016/j.jweia.2025.106273","DOIUrl":"10.1016/j.jweia.2025.106273","url":null,"abstract":"<div><div>Maintaining the running safety of high-speed trains subjected to crosswinds remains a critical challenge in railway bridge engineering. This issue is particularly pronounced in mountainous regions, where long-span bridges are frequently exposed to highly turbulent winds. The turbulent nature in such environments significantly affects the aerodynamic behavior of bluff bodies such as trains and bridges. This study investigates how varying levels of turbulence intensity (<em>I</em><sub><em>u</em></sub>), ranging from 4.88 % to 13.47 % under a fixed integral length scale (<em>L</em><sub>u</sub>), affect the aerodynamic characteristics and dynamic interactions within a train-bridge system. Results from wind tunnel tests and numerical modeling reveal that turbulent inflow reduces the drag forces on both the train and the bridge compared with nearly smooth conditions. As the <em>I</em><sub><em>u</em></sub> increases, the mean wind load acting on the train's windward side decreases. However, pressure fluctuations become more pronounced and are expressed as root-mean-square (RMS) values. A three-dimensional coupled vibration model was developed to further examine these effects. The analysis reveals that the lateral displacement and safety-related indices (e.g., derailment coefficient) of the train increase as <em>I</em><sub><em>u</em></sub> rises. At an <em>I</em><sub><em>u</em></sub> of 13.47 %, the derailment coefficient of the train is observed to increase by 17.86 % compared with that under smooth flow conditions. These results demonstrate that the train's dynamic responses are highly sensitive to pulsating pressure variations in turbulent wind fields. The findings provide valuable insights into the aerodynamic stability and safety assessment of high-speed rail systems operating on long-span bridges exposed to complex turbulent winds typical of mountainous terrains.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"268 ","pages":"Article 106273"},"PeriodicalIF":4.9,"publicationDate":"2025-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-10DOI: 10.1016/j.jweia.2025.106271
Xiaoqi Hu, Fabio Malizia, Bert Blocken
Running is a fundamental discipline in athletics, yet its aerodynamic characteristics have not yet been intensively studied, particularly from a computational perspective. In recent years, Computational Fluid Dynamics (CFD) has become an increasingly valuable tool for advancing research in sports aerodynamics. However, the reliability of CFD predictions depends strongly on the selection of computational parameters which remains insufficiently explored in the context of human running. This paper presents a detailed study on the impact of grid resolution, computational domain size, and turbulence modelling on the computed drag area for a full-scale female runner manikin. The CFD simulations are validated by comparison with wind tunnel measurements performed in a geometrically matched test section. The sensitivity analysis provides practical guidelines for generating grids that balance accuracy and computational economy. The blockage ratio (BR) is found to be a critical parameter: values exceeding 3.5% result in drag overestimations larger than 2.8%. Among the turbulence models tested, transition-sensitive models (γ–SST and T–SST) in pseudo-transient RANS formulation and the hybrid scale-adaptive simulation (SAS) approach showed the best agreement with experimental results. Based on these findings, the study proposes a set of best-practice guidelines for reliable and cost-effective CFD simulations of running aerodynamics.
{"title":"CFD simulations of running aerodynamics: Impact of computational parameters","authors":"Xiaoqi Hu, Fabio Malizia, Bert Blocken","doi":"10.1016/j.jweia.2025.106271","DOIUrl":"10.1016/j.jweia.2025.106271","url":null,"abstract":"<div><div>Running is a fundamental discipline in athletics, yet its aerodynamic characteristics have not yet been intensively studied, particularly from a computational perspective. In recent years, Computational Fluid Dynamics (CFD) has become an increasingly valuable tool for advancing research in sports aerodynamics. However, the reliability of CFD predictions depends strongly on the selection of computational parameters which remains insufficiently explored in the context of human running. This paper presents a detailed study on the impact of grid resolution, computational domain size, and turbulence modelling on the computed drag area for a full-scale female runner manikin. The CFD simulations are validated by comparison with wind tunnel measurements performed in a geometrically matched test section. The sensitivity analysis provides practical guidelines for generating grids that balance accuracy and computational economy. The blockage ratio (BR) is found to be a critical parameter: values exceeding 3.5% result in drag overestimations larger than 2.8%. Among the turbulence models tested, transition-sensitive models (γ–SST and T–SST) in pseudo-transient RANS formulation and the hybrid scale-adaptive simulation (SAS) approach showed the best agreement with experimental results. Based on these findings, the study proposes a set of best-practice guidelines for reliable and cost-effective CFD simulations of running aerodynamics.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"268 ","pages":"Article 106271"},"PeriodicalIF":4.9,"publicationDate":"2025-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-06DOI: 10.1016/j.jweia.2025.106263
Biao Tong , Jian Yang , Zhongdong Duan , Gang Hu
Accurate modeling of tropical cyclone (TC) decay after landfall is critical for effective hazard assessment and disaster mitigation in coastal regions. This study introduces a physics-informed deep learning framework based on the Extended Long Short-Term Memory (xLSTM) network to predict TC decay processes over mainland East and Southeast Asia. The proposed xLSTM model incorporates both empirical and physical constraints, leveraging multi-source observational and environmental reanalysis data. Compared with established empirical models, xLSTM demonstrates superior predictive performance, achieving lower error, as well as higher correlation with observed data. Spatial and temporal analyses reveal that the xLSTM framework reduces regional biases and more accurately captures complex decay dynamics, especially for the mid-to-late stages of landfall forecasts. Gradient-based sensitivity analysis identifies initial wind speed, time since landfall, land-sea mask, and land cover characteristics as the dominant factors influencing TC intensity decay. These findings highlight the advantages of integrating physics-informed constraints within deep learning models for improved representation and prediction of TC decay, supporting enhanced risk assessment and operational forecasting for coastal hazard management.
{"title":"A physics-informed deep learning framework for the tropical cyclones decay model","authors":"Biao Tong , Jian Yang , Zhongdong Duan , Gang Hu","doi":"10.1016/j.jweia.2025.106263","DOIUrl":"10.1016/j.jweia.2025.106263","url":null,"abstract":"<div><div>Accurate modeling of tropical cyclone (TC) decay after landfall is critical for effective hazard assessment and disaster mitigation in coastal regions. This study introduces a physics-informed deep learning framework based on the Extended Long Short-Term Memory (xLSTM) network to predict TC decay processes over mainland East and Southeast Asia. The proposed xLSTM model incorporates both empirical and physical constraints, leveraging multi-source observational and environmental reanalysis data. Compared with established empirical models, xLSTM demonstrates superior predictive performance, achieving lower error, as well as higher correlation with observed data. Spatial and temporal analyses reveal that the xLSTM framework reduces regional biases and more accurately captures complex decay dynamics, especially for the mid-to-late stages of landfall forecasts. Gradient-based sensitivity analysis identifies initial wind speed, time since landfall, land-sea mask, and land cover characteristics as the dominant factors influencing TC intensity decay. These findings highlight the advantages of integrating physics-informed constraints within deep learning models for improved representation and prediction of TC decay, supporting enhanced risk assessment and operational forecasting for coastal hazard management.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"268 ","pages":"Article 106263"},"PeriodicalIF":4.9,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-05DOI: 10.1016/j.jweia.2025.106268
Haoran Pan , Zuo Zhu , An Xu
High-frequency force-balance testing is one of the most practical approaches for evaluating wind loads and wind-induced responses on high-rise buildings in wind tunnels. However, the method is susceptible to measurement bias caused by resonant amplification and modal coupling between the balance and the structural model. Traditional correction methods partly mitigate resonant amplification but remain limited under modal coupling, particularly in cases of closely spaced modes. This study presents a physically grounded correction framework based on Bayesian operational modal analysis, which incorporates the coupled dynamic characteristics of the balance-model system (BMS) into a Bayesian inference scheme, enabling statistically consistent and physically interpretable identification of its modal characteristics. By leveraging the identified modal parameters of the BMS, the method decouples aerodynamic loads, suppresses dynamic amplification, and reconstructs bias-reduced aerodynamic load spectra. Numerical simulations demonstrate the robustness of the method under varying modal proximity and coupling, while wind-tunnel experiments on a supertall building model further validate its effectiveness. The results highlight the potential of the proposed framework to improve aerodynamic-load correction and structural-response prediction in wind-tunnel testing.
{"title":"Correction of coupled aerodynamic loads in high-frequency force-balance testing using a Bayesian approach","authors":"Haoran Pan , Zuo Zhu , An Xu","doi":"10.1016/j.jweia.2025.106268","DOIUrl":"10.1016/j.jweia.2025.106268","url":null,"abstract":"<div><div>High-frequency force-balance testing is one of the most practical approaches for evaluating wind loads and wind-induced responses on high-rise buildings in wind tunnels. However, the method is susceptible to measurement bias caused by resonant amplification and modal coupling between the balance and the structural model. Traditional correction methods partly mitigate resonant amplification but remain limited under modal coupling, particularly in cases of closely spaced modes. This study presents a physically grounded correction framework based on Bayesian operational modal analysis, which incorporates the coupled dynamic characteristics of the balance-model system (BMS) into a Bayesian inference scheme, enabling statistically consistent and physically interpretable identification of its modal characteristics. By leveraging the identified modal parameters of the BMS, the method decouples aerodynamic loads, suppresses dynamic amplification, and reconstructs bias-reduced aerodynamic load spectra. Numerical simulations demonstrate the robustness of the method under varying modal proximity and coupling, while wind-tunnel experiments on a supertall building model further validate its effectiveness. The results highlight the potential of the proposed framework to improve aerodynamic-load correction and structural-response prediction in wind-tunnel testing.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"268 ","pages":"Article 106268"},"PeriodicalIF":4.9,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-04DOI: 10.1016/j.jweia.2025.106270
Themistoklis Vargiemezis, Catherine Gorlé
This paper validates Large Eddy Simulation (LES) for predicting wind-induced pressures on low-rise buildings in urban areas. Validation data for pressure coefficients on the building was obtained from experiments on a 1:100 scale model of Stanford’s Y2E2 building in the NHERI Wall of Wind (WoW) facility at Florida International University, and simulations were conducted using the CharLES code. The study first ensured an accurate representation of WoW surface layer velocity statistics in the LES. Next, simulations of the surface layer wind flow interacting with the buildings showed a close agreement between LES and wind tunnel data for wind pressure coefficient statistics (mean, RMS, peak, skewness, kurtosis) on the building surface. The LES can accurately identify areas where surrounding buildings create more negative peak pressure coefficients than would occur on the isolated building. The changes in the peak pressure coefficients were found to be induced by changes in the mean flow velocity magnitude and direction, including new regions of flow separation, acceleration, and vortex formation. In conclusion, LES is a valuable tool for analyzing wind pressures on realistic low-rise buildings in complex urban environments, offering reliable estimates for local peak pressure coefficients and insight into the flow physics causing these peaks.
{"title":"Predicting wind-induced interference effects on a low-rise building in a realistic urban area using large-eddy simulations","authors":"Themistoklis Vargiemezis, Catherine Gorlé","doi":"10.1016/j.jweia.2025.106270","DOIUrl":"10.1016/j.jweia.2025.106270","url":null,"abstract":"<div><div>This paper validates Large Eddy Simulation (LES) for predicting wind-induced pressures on low-rise buildings in urban areas. Validation data for pressure coefficients on the building was obtained from experiments on a 1:100 scale model of Stanford’s Y2E2 building in the NHERI Wall of Wind (WoW) facility at Florida International University, and simulations were conducted using the CharLES code. The study first ensured an accurate representation of WoW surface layer velocity statistics in the LES. Next, simulations of the surface layer wind flow interacting with the buildings showed a close agreement between LES and wind tunnel data for wind pressure coefficient statistics (mean, RMS, peak, skewness, kurtosis) on the building surface. The LES can accurately identify areas where surrounding buildings create more negative peak pressure coefficients than would occur on the isolated building. The changes in the peak pressure coefficients were found to be induced by changes in the mean flow velocity magnitude and direction, including new regions of flow separation, acceleration, and vortex formation. In conclusion, LES is a valuable tool for analyzing wind pressures on realistic low-rise buildings in complex urban environments, offering reliable estimates for local peak pressure coefficients and insight into the flow physics causing these peaks.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"268 ","pages":"Article 106270"},"PeriodicalIF":4.9,"publicationDate":"2025-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145435467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-31DOI: 10.1016/j.jweia.2025.106264
Yifan Li, Tian Li, Jiye Zhang
With increasing train speeds and diverse operational environments, abnormal vibration of the tail car has become a critical bottleneck limiting further advancements in high-speed train technology. This study develops aerodynamic and multi-body dynamics models for 3-car and 8-car train configurations to identify tail car vibration characteristics. Passive flow control strategies incorporating vortex generators and bogie skirts are proposed in various configurations to mitigate these vibrations. At the speed of 400 km/h, the aerodynamic load frequency characteristics, surface pressure distribution, and unsteady flow field around the train are analyzed. And the effectiveness of different aerodynamic optimization schemes in improving tail car stability is evaluated. Results indicate that the vortex generator enhances flow attachment by acting on the airflow over the carbody roof and upper rear region, while the bogie skirt suppresses turbulence along the carbody sides and rear lower section, reducing vortex shedding. Their combined application significantly reduces the vibration intensity of unsteady aerodynamic loads, leading to a 15.43 % and 15.82 % reduction in the maximum lateral and vertical stability indices of the tail car, respectively. This effectively mitigates aerodynamic disturbances and fundamentally improves overall train stability. The research results not only solve the problem of abnormal vibration of the tail car but also provide important engineering guidance for the aerodynamic shape optimization and vibration control of 400 km/h HST.
{"title":"Mitigating the abnormal vibration of the tail car of a 400 km/h high-speed train by using flow control devices","authors":"Yifan Li, Tian Li, Jiye Zhang","doi":"10.1016/j.jweia.2025.106264","DOIUrl":"10.1016/j.jweia.2025.106264","url":null,"abstract":"<div><div>With increasing train speeds and diverse operational environments, abnormal vibration of the tail car has become a critical bottleneck limiting further advancements in high-speed train technology. This study develops aerodynamic and multi-body dynamics models for 3-car and 8-car train configurations to identify tail car vibration characteristics. Passive flow control strategies incorporating vortex generators and bogie skirts are proposed in various configurations to mitigate these vibrations. At the speed of 400 km/h, the aerodynamic load frequency characteristics, surface pressure distribution, and unsteady flow field around the train are analyzed. And the effectiveness of different aerodynamic optimization schemes in improving tail car stability is evaluated. Results indicate that the vortex generator enhances flow attachment by acting on the airflow over the carbody roof and upper rear region, while the bogie skirt suppresses turbulence along the carbody sides and rear lower section, reducing vortex shedding. Their combined application significantly reduces the vibration intensity of unsteady aerodynamic loads, leading to a 15.43 % and 15.82 % reduction in the maximum lateral and vertical stability indices of the tail car, respectively. This effectively mitigates aerodynamic disturbances and fundamentally improves overall train stability. The research results not only solve the problem of abnormal vibration of the tail car but also provide important engineering guidance for the aerodynamic shape optimization and vibration control of 400 km/h HST.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"267 ","pages":"Article 106264"},"PeriodicalIF":4.9,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}