High-speed maglev trains operating within low-vacuum tubes face significant aerodynamic heating challenges, exacerbated by the inherent choked effects. Addressing the limitations of existing studies of aerothermodynamics on ETT, which focus on sole heat transfer method and flow structure under choked conditions, this paper investigates aerodynamic heating of ETT under choked conditions with coupled forced convection and surface radiation. Compared to convection only, the vehicle's surface temperature is lower under convection and radiation coupling and it declines with increasing distance from the nose, with a sharp increase at the tail, demonstrating a significant temperature gradient, while radiation heat flux generally shows an upward trend. Crucially, under supersonic flows with high blockage ratios, the vehicle's average temperature exceeds 400 K, with a temperature difference of over 100 K. The radiation heat flux at the nose becomes negative and the vehicle faces serious aerodynamic heating effects, with limited capability to radiate heat outward. While vacuum level does not govern the onset of choked flow, it significantly reduces vehicle surface temperature especially the tail temperature, particularly when pressures are below 0.2 atm. These findings enhance the comprehensive understanding of aerodynamic heating characteristics in choked flows, informing the design of ETT's thermal protection systems.
{"title":"Aerodynamic heating of evacuated tube transportation in choked flow under coupled forced convection and surface radiation","authors":"Fuzhong Xie, Fujian Jiang, Qiujun Yu, Yanping Yuan, Jiqiang Niu","doi":"10.1016/j.jweia.2026.106333","DOIUrl":"10.1016/j.jweia.2026.106333","url":null,"abstract":"<div><div>High-speed maglev trains operating within low-vacuum tubes face significant aerodynamic heating challenges, exacerbated by the inherent choked effects. Addressing the limitations of existing studies of aerothermodynamics on ETT, which focus on sole heat transfer method and flow structure under choked conditions, this paper investigates aerodynamic heating of ETT under choked conditions with coupled forced convection and surface radiation. Compared to convection only, the vehicle's surface temperature is lower under convection and radiation coupling and it declines with increasing distance from the nose, with a sharp increase at the tail, demonstrating a significant temperature gradient, while radiation heat flux generally shows an upward trend. Crucially, under supersonic flows with high blockage ratios, the vehicle's average temperature exceeds 400 K, with a temperature difference of over 100 K. The radiation heat flux at the nose becomes negative and the vehicle faces serious aerodynamic heating effects, with limited capability to radiate heat outward. While vacuum level does not govern the onset of choked flow, it significantly reduces vehicle surface temperature especially the tail temperature, particularly when pressures are below 0.2 atm. These findings enhance the comprehensive understanding of aerodynamic heating characteristics in choked flows, informing the design of ETT's thermal protection systems.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"269 ","pages":"Article 106333"},"PeriodicalIF":4.9,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925926","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 : 2026-01-02DOI: 10.1016/j.jweia.2025.106325
Zhimin Chai , Genshen Fang , Yongxin Yang , Zuopeng Wen , Shipeng Gao , Rushen Su , Xinhua Liu , Yaojun Ge
Closed-box girders have been widely used in long-span bridges due to their excellent aerodynamic performance. However, the installation of ancillary facilities may trigger significant vortex-induced vibrations (VIV). This study employed synchronous pressure and vibration measurement in a wind tunnel test on both free-vibration and fixed sectional models. The aim of this study is to obtain surface pressure distributions under several different conditions. The aerodynamic force was determined by summing the distributed pressures of both free-vibration and fixed models. The distribution characteristics of the forces were investigated through analysis of the mean pressure coefficients, fluctuating pressure coefficients and the correlation between distributed pressure and the overall force. Moreover, the Variational Mode Decomposition (VMD) method was utilized to conduct a subcomponent decomposition analysis of the aerodynamic force. The results demonstrated that the VIV responses of the closed box girder were found to be significantly influenced by the layout of the maintenance rails. The process of VIV can be divided into three distinct stages: initiation, development and stable stage. Subcomponent analysis concluded that energy from aerodynamic forces increased with vibration amplitude, while fixed-model energy remained at a low level, implying a balance between energy input and dissipation during limit-cycle oscillations. The results of the subcomponent analysis indicate the critical role of the aerodynamic force in the excitation of VIV. Among the subcomponents of the aerodynamic forces, the subcomponent with a center frequency most closely aligned with the natural frequency of the structure is most closely associated with the excitation of the vortex-induced vibrations.
{"title":"Comparison of aerodynamic force characteristics for closed-box girder under vortex-induced vibration condition between free-vibration and fixed states","authors":"Zhimin Chai , Genshen Fang , Yongxin Yang , Zuopeng Wen , Shipeng Gao , Rushen Su , Xinhua Liu , Yaojun Ge","doi":"10.1016/j.jweia.2025.106325","DOIUrl":"10.1016/j.jweia.2025.106325","url":null,"abstract":"<div><div>Closed-box girders have been widely used in long-span bridges due to their excellent aerodynamic performance. However, the installation of ancillary facilities may trigger significant vortex-induced vibrations (VIV). This study employed synchronous pressure and vibration measurement in a wind tunnel test on both free-vibration and fixed sectional models. The aim of this study is to obtain surface pressure distributions under several different conditions. The aerodynamic force was determined by summing the distributed pressures of both free-vibration and fixed models. The distribution characteristics of the forces were investigated through analysis of the mean pressure coefficients, fluctuating pressure coefficients and the correlation between distributed pressure and the overall force. Moreover, the Variational Mode Decomposition (VMD) method was utilized to conduct a subcomponent decomposition analysis of the aerodynamic force. The results demonstrated that the VIV responses of the closed box girder were found to be significantly influenced by the layout of the maintenance rails. The process of VIV can be divided into three distinct stages: initiation, development and stable stage. Subcomponent analysis concluded that energy from aerodynamic forces increased with vibration amplitude, while fixed-model energy remained at a low level, implying a balance between energy input and dissipation during limit-cycle oscillations. The results of the subcomponent analysis indicate the critical role of the aerodynamic force in the excitation of VIV. Among the subcomponents of the aerodynamic forces, the subcomponent with a center frequency most closely aligned with the natural frequency of the structure is most closely associated with the excitation of the vortex-induced vibrations.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"269 ","pages":"Article 106325"},"PeriodicalIF":4.9,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884348","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 : 2026-01-02DOI: 10.1016/j.jweia.2025.106329
Jiazhi Yan , Qingke Han , Lijun Yuan , Zhihui Wang , Yanlong Guo , Kunbo Wen , Xianfeng Yu , Muguang Liu , Yi Yang
Accurate simulation of boundary layer wind fields is crucial for analyzing structural wind effects, particularly for super-tall buildings in complex urban settings. This study addresses wind field reconstruction and validation challenges, focusing on the “5·18″ wind-induced vibration event at SEG Plaza, Shenzhen. It integrates field measurements, wind tunnel experiments, and numerical simulations, using a refined urban model within a 500-m radius. Results are compared with Doppler lidar data and detailed simulations to establish an evaluation framework. The study also examines wind field reconstruction with limited surrounding building data. Key findings include: 1) Wind tunnel results closely match LiDAR measurements above 200 m, with a correlation coefficient of 0.975 (RMSE 0.021); 2) The average wind speed profile exponent from wind tunnel tests is 0.30, with speeds at 350 m ranging from 10.30 to 10.72 m/s; 3) A simplified 200-m radius model can capture key high-altitude wind field traits; 4) Numerical simulations with equilibrium inflow conditions outperform wind tunnel tests when urban data is scarce. This “field measurement – numerical simulation – physical simulation validation” approach will offer a wind field reconstruction method for analyzing sudden wind event.
{"title":"A LiDAR-CFD-wind tunnel integrated framework for urban wind field reconstruction: The SEG Plaza case","authors":"Jiazhi Yan , Qingke Han , Lijun Yuan , Zhihui Wang , Yanlong Guo , Kunbo Wen , Xianfeng Yu , Muguang Liu , Yi Yang","doi":"10.1016/j.jweia.2025.106329","DOIUrl":"10.1016/j.jweia.2025.106329","url":null,"abstract":"<div><div>Accurate simulation of boundary layer wind fields is crucial for analyzing structural wind effects, particularly for super-tall buildings in complex urban settings. This study addresses wind field reconstruction and validation challenges, focusing on the “5·18″ wind-induced vibration event at SEG Plaza, Shenzhen. It integrates field measurements, wind tunnel experiments, and numerical simulations, using a refined urban model within a 500-m radius. Results are compared with Doppler lidar data and detailed simulations to establish an evaluation framework. The study also examines wind field reconstruction with limited surrounding building data. Key findings include: 1) Wind tunnel results closely match LiDAR measurements above 200 m, with a correlation coefficient of 0.975 (RMSE 0.021); 2) The average wind speed profile exponent from wind tunnel tests is 0.30, with speeds at 350 m ranging from 10.30 to 10.72 m/s; 3) A simplified 200-m radius model can capture key high-altitude wind field traits; 4) Numerical simulations with equilibrium inflow conditions outperform wind tunnel tests when urban data is scarce. This “field measurement – numerical simulation – physical simulation validation” approach will offer a wind field reconstruction method for analyzing sudden wind event.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"269 ","pages":"Article 106329"},"PeriodicalIF":4.9,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884349","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 : 2025-12-31DOI: 10.1016/j.jweia.2025.106322
Sean McTavish, Hali Barber, Alanna Wall
Urban airflow characteristics from a full-scale field test were compared to those from a model-scale wind tunnel test to validate the use of model-scale data in the development of urban airflows guidance and recommendations. Rooftop-mounted anemometer measurements were acquired during a field study conducted in Montréal, Canada in 2023, and wind-tunnel data were acquired at the same relative rooftop-anemometer locations using a 1:300 scale model. The comparison between the field study and wind-tunnel test was enabled by identifying a compatible set of reference conditions. The airflow properties, including the mean wind speed, turbulence intensity, and flow angularity, had better agreement between field data and wind-tunnel data for the buildings that were in the core of the urban environment, where building wakes are the dominant flow feature. Flow speed and turbulence intensity were often higher in the field than in the wind tunnel, although the general trends in these parameters were predicted adequately overall. The use of airport-weather station data as the reference conditions in the field was shown to be a practical approach in the absence of a local reference in the city. A comparison of the velocity spectra between the field test and the wind-tunnel test showed good agreement over the range of full-scale frequencies that are related to typical building-widths and to the size of future urban air mobility vehicles.
{"title":"Validation of rooftop wind measurements in the urban environment: Comparison between wind tunnel results and field data","authors":"Sean McTavish, Hali Barber, Alanna Wall","doi":"10.1016/j.jweia.2025.106322","DOIUrl":"10.1016/j.jweia.2025.106322","url":null,"abstract":"<div><div>Urban airflow characteristics from a full-scale field test were compared to those from a model-scale wind tunnel test to validate the use of model-scale data in the development of urban airflows guidance and recommendations. Rooftop-mounted anemometer measurements were acquired during a field study conducted in Montréal, Canada in 2023, and wind-tunnel data were acquired at the same relative rooftop-anemometer locations using a 1:300 scale model. The comparison between the field study and wind-tunnel test was enabled by identifying a compatible set of reference conditions. The airflow properties, including the mean wind speed, turbulence intensity, and flow angularity, had better agreement between field data and wind-tunnel data for the buildings that were in the core of the urban environment, where building wakes are the dominant flow feature. Flow speed and turbulence intensity were often higher in the field than in the wind tunnel, although the general trends in these parameters were predicted adequately overall. The use of airport-weather station data as the reference conditions in the field was shown to be a practical approach in the absence of a local reference in the city. A comparison of the velocity spectra between the field test and the wind-tunnel test showed good agreement over the range of full-scale frequencies that are related to typical building-widths and to the size of future urban air mobility vehicles.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"269 ","pages":"Article 106322"},"PeriodicalIF":4.9,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884351","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 : 2025-12-31DOI: 10.1016/j.jweia.2025.106331
Juncai Chen , Yimin Dai , Taiting Liu , Lipeng Yuan , Yilin Peng
Hail disasters, a typical extreme weather event, are often accompanied by strong winds. Wind speed variations significantly affect the dynamic response of metal roof panels subjected to hail impact, highlighting the need to investigate wind-hail interaction effects. This study systematically investigates the dynamic responses of typical metal roof panels under wind-hail interaction through impact testing and numerical simulations. Results show that the influence of wind amplifies stress, strain, and displacement responses, with the effect closely related to hail diameter: smaller hail experiences stronger wind influence, while the effect diminishes as hail size increases. To accurately simulate the hail impact process, a fluid–structure interaction model was developed in LS-DYNA, showing excellent agreement with experimental data. Comparison with a simplified model indicates that both models can accurately predict the dynamic responses under small-diameter hail impacts, but the simplified model tends to overestimate structural responses for larger hail. Additionally, a displacement prediction model considering wind-hail interaction was developed using multivariate nonlinear regression analysis. The model exhibits good predictive capability under conventional conditions (hail diameters below 58 mm; wind speeds of 0–15 m/s). This study provides a useful reference for the hail-resistant design and risk assessment of metal roofing systems.
{"title":"Experimental investigation of dynamic response characteristics of metal roof panels under wind-hail interaction effects","authors":"Juncai Chen , Yimin Dai , Taiting Liu , Lipeng Yuan , Yilin Peng","doi":"10.1016/j.jweia.2025.106331","DOIUrl":"10.1016/j.jweia.2025.106331","url":null,"abstract":"<div><div>Hail disasters, a typical extreme weather event, are often accompanied by strong winds. Wind speed variations significantly affect the dynamic response of metal roof panels subjected to hail impact, highlighting the need to investigate wind-hail interaction effects. This study systematically investigates the dynamic responses of typical metal roof panels under wind-hail interaction through impact testing and numerical simulations. Results show that the influence of wind amplifies stress, strain, and displacement responses, with the effect closely related to hail diameter: smaller hail experiences stronger wind influence, while the effect diminishes as hail size increases. To accurately simulate the hail impact process, a fluid–structure interaction model was developed in LS-DYNA, showing excellent agreement with experimental data. Comparison with a simplified model indicates that both models can accurately predict the dynamic responses under small-diameter hail impacts, but the simplified model tends to overestimate structural responses for larger hail. Additionally, a displacement prediction model considering wind-hail interaction was developed using multivariate nonlinear regression analysis. The model exhibits good predictive capability under conventional conditions (hail diameters below 58 mm; wind speeds of 0–15 m/s). This study provides a useful reference for the hail-resistant design and risk assessment of metal roofing systems.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"269 ","pages":"Article 106331"},"PeriodicalIF":4.9,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884346","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 : 2025-12-31DOI: 10.1016/j.jweia.2025.106324
Lu Yang , Chunjun Chen , Xinhua Xiang , Boyuan Mu , Yutao Xia
When plateau oxygen-supply trains pass through extreme tunnels, the passive control method for interior pressure fluctuations of the train fails to effectively balance passenger pressure comfort and air quality inside the carriage. To address above issues, this paper formulates the multi-objective optimization problem for desired interior pressure as a constrained Markov decision process (CMDP). A multi-objective reinforcement learning (RL) optimization method is proposed to obtain desired interior pressures under different tunnel conditions. By introducing the Lagrange function, the constraints (including interior oxygen partial pressure, interior pressure comfort standards, and valve opening restrictions) are integrated into the actor network. Furthermore, prior control knowledge from the iterative learning control (ILC) method is integrated to assist the RL algorithm in accelerating convergence and ensuring safe policy exploration. Finally, simulation and experimental results show that the proposed method successfully generates an interior pressure trajectory that satisfies both the oxygen partial pressure and pressure comfort standards while maximizing valve openings and keeping them within acceptable limits. This provides the desired tracking objective for designing the control algorithm for interior pressure fluctuations under tunnel pressure wave excitations.
{"title":"A multi-objective reinforcement learning optimization method for interior desired pressure in plateau oxygen-supply trains under extreme tunnel conditions","authors":"Lu Yang , Chunjun Chen , Xinhua Xiang , Boyuan Mu , Yutao Xia","doi":"10.1016/j.jweia.2025.106324","DOIUrl":"10.1016/j.jweia.2025.106324","url":null,"abstract":"<div><div>When plateau oxygen-supply trains pass through extreme tunnels, the passive control method for interior pressure fluctuations of the train fails to effectively balance passenger pressure comfort and air quality inside the carriage. To address above issues, this paper formulates the multi-objective optimization problem for desired interior pressure as a constrained Markov decision process (CMDP). A multi-objective reinforcement learning (RL) optimization method is proposed to obtain desired interior pressures under different tunnel conditions. By introducing the Lagrange function, the constraints (including interior oxygen partial pressure, interior pressure comfort standards, and valve opening restrictions) are integrated into the actor network. Furthermore, prior control knowledge from the iterative learning control (ILC) method is integrated to assist the RL algorithm in accelerating convergence and ensuring safe policy exploration. Finally, simulation and experimental results show that the proposed method successfully generates an interior pressure trajectory that satisfies both the oxygen partial pressure and pressure comfort standards while maximizing valve openings and keeping them within acceptable limits. This provides the desired tracking objective for designing the control algorithm for interior pressure fluctuations under tunnel pressure wave excitations.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"269 ","pages":"Article 106324"},"PeriodicalIF":4.9,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884350","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 : 2025-12-29DOI: 10.1016/j.jweia.2025.106326
Yezhan Li , Sankang Yin , Naoki Ikegaya
Turbulent inflow is essential for obtaining accurate results in large-eddy simulations of the urban wind environment. However, under unstable conditions, the relative importance of inflow turbulence and Reynolds number remains unclear. This study investigates the effects of five inflow turbulence types and five Reynolds numbers (Re = 1500–150000), obtained by varying the kinematic viscosity, on the flow fields around an isolated building. Results show that at a high Reynolds number (Re = 15000), different inflow turbulence conditions produce similar wake pattern. Varying the Reynolds number has minimal influence on the velocity fields under turbulent inflow, whereas non-turbulent inflow exhibits strong Reynolds number sensitivity, especially in the wake. For the temperature field, lower Reynolds numbers lead to higher temperatures and stronger fluctuations due to the increased wall heat transfer. These findings suggest that while turbulent inflow is essential for accurately resolving flow features in front of the building, non-turbulent inflow may be sufficient for studies focusing on mean and standard deviation fields in the wake at high Reynolds numbers. For simulations involving both velocity and temperature, inflow with fluctuations in both is recommended, though using velocity fluctuations with a representative temperature profile can still provide reasonable accuracy.
{"title":"Impact of inflow turbulence and flow Reynolds number on the flow around an isolated building under unstable conditions","authors":"Yezhan Li , Sankang Yin , Naoki Ikegaya","doi":"10.1016/j.jweia.2025.106326","DOIUrl":"10.1016/j.jweia.2025.106326","url":null,"abstract":"<div><div>Turbulent inflow is essential for obtaining accurate results in large-eddy simulations of the urban wind environment. However, under unstable conditions, the relative importance of inflow turbulence and Reynolds number remains unclear. This study investigates the effects of five inflow turbulence types and five Reynolds numbers (<em>Re</em> = 1500–150000), obtained by varying the kinematic viscosity, on the flow fields around an isolated building. Results show that at a high Reynolds number (<em>Re</em> = 15000), different inflow turbulence conditions produce similar wake pattern. Varying the Reynolds number has minimal influence on the velocity fields under turbulent inflow, whereas non-turbulent inflow exhibits strong Reynolds number sensitivity, especially in the wake. For the temperature field, lower Reynolds numbers lead to higher temperatures and stronger fluctuations due to the increased wall heat transfer. These findings suggest that while turbulent inflow is essential for accurately resolving flow features in front of the building, non-turbulent inflow may be sufficient for studies focusing on mean and standard deviation fields in the wake at high Reynolds numbers. For simulations involving both velocity and temperature, inflow with fluctuations in both is recommended, though using velocity fluctuations with a representative temperature profile can still provide reasonable accuracy.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"269 ","pages":"Article 106326"},"PeriodicalIF":4.9,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884347","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 : 2025-12-26DOI: 10.1016/j.jweia.2025.106323
Katya Britton, Djordje Romanic
Downbursts are intense, often damaging, winds produced by downdrafts from storms that strike the ground and spread outward in all directions. Near the surface, the flow characteristics of downburst outflows closely resemble those of an impinging jet spreading over a flat surface, a well-known phenomenon in experimental fluid mechanics. Key features such as high wind speeds, nose-shaped vertical profiles of mean velocity, abrupt shifts in wind direction, and non-Gaussian velocity distributions make downbursts a significant hazard to certain structures. Owing to their resemblance to impinging jets, downbursts have been modeled using various analytical and semi-empirical formulations, which are now commonly used in wind engineering to evaluate structural loads and environmental impacts. This short communication introduces a simple and intuitive MATLAB® software tool that integrates nine well-documented models of downburst-like impinging jets. The tool allows users to visualize radial and vertical profiles of the mean wind components and to export both plots and data in multiple formats. Its interactive interface enables easy adjustment of key model parameters, enhancing usability for research and engineering applications.
{"title":"A user-friendly graphical user interface (GUI) of wall jet analytical and semi-empirical models of downbursts","authors":"Katya Britton, Djordje Romanic","doi":"10.1016/j.jweia.2025.106323","DOIUrl":"10.1016/j.jweia.2025.106323","url":null,"abstract":"<div><div>Downbursts are intense, often damaging, winds produced by downdrafts from storms that strike the ground and spread outward in all directions. Near the surface, the flow characteristics of downburst outflows closely resemble those of an impinging jet spreading over a flat surface, a well-known phenomenon in experimental fluid mechanics. Key features such as high wind speeds, nose-shaped vertical profiles of mean velocity, abrupt shifts in wind direction, and non-Gaussian velocity distributions make downbursts a significant hazard to certain structures. Owing to their resemblance to impinging jets, downbursts have been modeled using various analytical and semi-empirical formulations, which are now commonly used in wind engineering to evaluate structural loads and environmental impacts. This short communication introduces a simple and intuitive MATLAB® software tool that integrates nine well-documented models of downburst-like impinging jets. The tool allows users to visualize radial and vertical profiles of the mean wind components and to export both plots and data in multiple formats. Its interactive interface enables easy adjustment of key model parameters, enhancing usability for research and engineering applications.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"269 ","pages":"Article 106323"},"PeriodicalIF":4.9,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840940","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}
This study introduces recent efforts of the Architectural Institute of Japan (AIJ) to develop guidelines for large-eddy simulation (LES) of pedestrian wind environments (PWEs). Reynolds-averaged Navier–Stokes (RANS) models have been widely used for predicting urban wind environments following best practice guidelines (BPGs) by Franke et al. [Int J Environ Pollut 44, 1–4 (2011)] and Tominaga et al. [J Wind Eng Ind Aerodyn 96 (10–11), 1749–1761 (2008)]. Although RANS models can predict mean wind velocity and some turbulence statistics based on empirical assumptions, LES provides higher accuracy in resolving transient turbulence structures larger than the grid scale. With increasing urbanization, understanding instantaneous complex wind and wind-related phenomena around buildings is essential for ensuring pedestrian wind comfort and safety. However, LES applications face challenges owing to a lack of BPGs. This study outlines key recommendations for simulation setups and post-processing, including domain size, building modeling, grid generation, boundary conditions, turbulence modeling, discretization, convergence criteria, and reliability evaluation. Additionally, new benchmark cases are provided to support validation for PWEs. The AIJ working group systematically evaluated LES performance across urban scenarios to ensure practical applicability while balancing computational costs. These guidelines aim to enhance prediction reliability, thereby contributing to the standardization of LES applications for PWE and advancement of computational wind engineering.
{"title":"AIJ guidelines on the applications of large-eddy simulation to pedestrian wind environment: Recommendations and validation benchmarks","authors":"Tsubasa Okaze , Hideki Kikumoto , Naoki Ikegaya , Keisuke Nakao , Hiroki Ono , Keigo Nakajima , Masashi Imano , Takamasa Hasama , Yuichi Tabata , Takeshi Kishida , Ryuichiro Yoshie , Yoshihide Tominaga","doi":"10.1016/j.jweia.2025.106321","DOIUrl":"10.1016/j.jweia.2025.106321","url":null,"abstract":"<div><div>This study introduces recent efforts of the Architectural Institute of Japan (AIJ) to develop guidelines for large-eddy simulation (LES) of pedestrian wind environments (PWEs). Reynolds-averaged Navier–Stokes (RANS) models have been widely used for predicting urban wind environments following best practice guidelines (BPGs) by Franke et al. [Int J Environ Pollut <strong>44</strong>, 1–4 (2011)] and Tominaga et al. [J Wind Eng Ind Aerodyn <strong>96</strong> (10–11), 1749–1761 (2008)]. Although RANS models can predict mean wind velocity and some turbulence statistics based on empirical assumptions, LES provides higher accuracy in resolving transient turbulence structures larger than the grid scale. With increasing urbanization, understanding instantaneous complex wind and wind-related phenomena around buildings is essential for ensuring pedestrian wind comfort and safety. However, LES applications face challenges owing to a lack of BPGs. This study outlines key recommendations for simulation setups and post-processing, including domain size, building modeling, grid generation, boundary conditions, turbulence modeling, discretization, convergence criteria, and reliability evaluation. Additionally, new benchmark cases are provided to support validation for PWEs. The AIJ working group systematically evaluated LES performance across urban scenarios to ensure practical applicability while balancing computational costs. These guidelines aim to enhance prediction reliability, thereby contributing to the standardization of LES applications for PWE and advancement of computational wind engineering.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"269 ","pages":"Article 106321"},"PeriodicalIF":4.9,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840469","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 : 2025-12-19DOI: 10.1016/j.jweia.2025.106318
Yongzhi Zhang , Zhibin Tian , Yi Yuan , Wenqian Lu , Xiaoli Pan , Yan Huang
Commuter exposure to particulate matter (PM) in confined subway stations poses significant risks to public health. The spatial distribution of the PM is strongly influenced by passenger-induced wake flows, yet its role in PM transport dynamics remains poorly characterized. This study investigates the impact of passenger wake flows on PM transport within commuting subway cabins via computational fluid dynamics (CFD), employing the dynamic mesh method and the Eulerian‒Lagrangian method to track PM trajectories. The results indicated that the wake flow fields can significantly enhance particulate matter migration, leading to a 132 % increase in PM 2.5 influx into the cabin compared with unoccupied scenarios. Entrained particles primarily accumulate near doorway regions—critical transition zones between moving and stationary passenger groups—where door-closing-induced airflow disturbances further promote their dispersion toward exhaust outlets. These results elucidate the mechanisms by which passenger behavior modulates subway cabin air quality, providing actionable insights for optimizing ventilation system design and mitigating passenger PM exposure risk.
{"title":"Human mobility-induced particulate dispersion mechanisms in urban transit hubs","authors":"Yongzhi Zhang , Zhibin Tian , Yi Yuan , Wenqian Lu , Xiaoli Pan , Yan Huang","doi":"10.1016/j.jweia.2025.106318","DOIUrl":"10.1016/j.jweia.2025.106318","url":null,"abstract":"<div><div>Commuter exposure to particulate matter (PM) in confined subway stations poses significant risks to public health. The spatial distribution of the PM is strongly influenced by passenger-induced wake flows, yet its role in PM transport dynamics remains poorly characterized. This study investigates the impact of passenger wake flows on PM transport within commuting subway cabins via computational fluid dynamics (CFD), employing the dynamic mesh method and the Eulerian‒Lagrangian method to track PM trajectories. The results indicated that the wake flow fields can significantly enhance particulate matter migration, leading to a 132 % increase in PM 2.5 influx into the cabin compared with unoccupied scenarios. Entrained particles primarily accumulate near doorway regions—critical transition zones between moving and stationary passenger groups—where door-closing-induced airflow disturbances further promote their dispersion toward exhaust outlets. These results elucidate the mechanisms by which passenger behavior modulates subway cabin air quality, providing actionable insights for optimizing ventilation system design and mitigating passenger PM exposure risk.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"269 ","pages":"Article 106318"},"PeriodicalIF":4.9,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791433","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}