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}
Pub Date : 2025-10-31DOI: 10.1016/j.jweia.2025.106267
Xu Wang , Guoliang Zhang
Recent field measurements have demonstrated that conventional stationary random processes inadequately describe the wind characteristics of typhoons. Consequently, research needs to transition from stationary to non-stationary models. This study conducts a comparative analysis of stationary and non-stationary wind speed models, utilizing measured data from Typhoon Mangkhut, which had wind speeds exceeding 8 m/s at landfall. Firstly, the stationarity of the entire wind speed time series is assessed using the run test analysis method. Subsequently, the time-varying mean wind speed is derived through empirical mode decomposition (EMD) and discrete wavelet transform (DWT) techniques, with a comparative analysis of their efficiency. The results show that the DWT performs better in capturing the non-stationarity of the wind speed, and the extracted time-varying mean wind speed fluctuates more dramatically. On this basis, the non-stationary fluctuating wind characteristics, including turbulence intensity, gust factor, turbulence integral scale, and power spectral density (PSD), are further analyzed and compared with the stationary model results. It is found that the stationary model usually overestimates the fluctuating wind characteristics, resulting in conservative calculation outcomes. In addition, the study fits a stationary power spectral density model for Mangkhut in a flat sea area and estimates the evolving power spectra density (EPSD) in three directions by complex Morlet wavelets. It is found that the energy of non-stationary fluctuating winds is mainly concentrated in the low frequency band, and the energy decreases gradually with increasing frequency. The peak density of the EPSD of the turbulent wind displays notable time-varying features, which are essential for the transitory wind-induced vibrations of large-span structures. This work expands the database of non-stationary wind characteristics in extreme wind fields, offering significant references for wind-resistant designs in open sea regions.
{"title":"Field measurement study on typhoon characteristics based on stationary and non-stationary wind speed models","authors":"Xu Wang , Guoliang Zhang","doi":"10.1016/j.jweia.2025.106267","DOIUrl":"10.1016/j.jweia.2025.106267","url":null,"abstract":"<div><div>Recent field measurements have demonstrated that conventional stationary random processes inadequately describe the wind characteristics of typhoons. Consequently, research needs to transition from stationary to non-stationary models. This study conducts a comparative analysis of stationary and non-stationary wind speed models, utilizing measured data from Typhoon Mangkhut, which had wind speeds exceeding 8 m/s at landfall. Firstly, the stationarity of the entire wind speed time series is assessed using the run test analysis method. Subsequently, the time-varying mean wind speed is derived through empirical mode decomposition (EMD) and discrete wavelet transform (DWT) techniques, with a comparative analysis of their efficiency. The results show that the DWT performs better in capturing the non-stationarity of the wind speed, and the extracted time-varying mean wind speed fluctuates more dramatically. On this basis, the non-stationary fluctuating wind characteristics, including turbulence intensity, gust factor, turbulence integral scale, and power spectral density (PSD), are further analyzed and compared with the stationary model results. It is found that the stationary model usually overestimates the fluctuating wind characteristics, resulting in conservative calculation outcomes. In addition, the study fits a stationary power spectral density model for Mangkhut in a flat sea area and estimates the evolving power spectra density (EPSD) in three directions by complex Morlet wavelets. It is found that the energy of non-stationary fluctuating winds is mainly concentrated in the low frequency band, and the energy decreases gradually with increasing frequency. The peak density of the EPSD of the turbulent wind displays notable time-varying features, which are essential for the transitory wind-induced vibrations of large-span structures. This work expands the database of non-stationary wind characteristics in extreme wind fields, offering significant references for wind-resistant designs in open sea regions.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"267 ","pages":"Article 106267"},"PeriodicalIF":4.9,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416487","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 : 2025-10-30DOI: 10.1016/j.jweia.2025.106266
Yanwen Su , Yongping Zeng , Guowen Han
Wind characteristics are crucial for the wind-resistant design of long-span bridges located in mountain valleys. However, compared to coastal and plain regions, wind events in mountain valleys are often treated as complex flows that exhibit significant non-stationarity. Furthermore, existing analysis strategies for investigating the turbulence characteristics of these non-stationary wind events are not well-established. Therefore, this study aims to comprehensively investigate two analysis strategies for assessing the turbulence characteristics of non-stationary wind events in a mountain valley, utilizing high-frequency wind field data collected by triaxial ultrasonic anemometers. First, an effective framework is developed to classify and quantify non-stationary processes. This framework enables a detailed examination of the non-stationarity inherent in turbulence fluctuations, establishing a solid theoretical foundation for their modeling and characterization. Additionally, the validity of both conventional and time-dependent analysis strategies for assessing the turbulence characteristics of various nonstationary wind events is investigated and discussed, including thermally developed winds, convective gusts, and cooling windstorms. Our findings reveal that there are discrepancies between the two analysis strategies. Notably, the time-dependent analysis strategy can serve as a generalized approach applicable to both non-stationary and stationary turbulence fluctuations. Consequently, it is unnecessary to examine the non-stationarity of turbulence fluctuations prior to analyzing turbulence characteristics, which will improve convenience in practical applications. The outcomes of this study are expected to offer valuable insights for field measurements and fluid-structure interactions, which are significant concerns within the wind engineering community.
{"title":"Field measurement study of non-stationary wind events in a mountain valley: Focusing on two analysis strategies for turbulence characteristics","authors":"Yanwen Su , Yongping Zeng , Guowen Han","doi":"10.1016/j.jweia.2025.106266","DOIUrl":"10.1016/j.jweia.2025.106266","url":null,"abstract":"<div><div>Wind characteristics are crucial for the wind-resistant design of long-span bridges located in mountain valleys. However, compared to coastal and plain regions, wind events in mountain valleys are often treated as complex flows that exhibit significant non-stationarity. Furthermore, existing analysis strategies for investigating the turbulence characteristics of these non-stationary wind events are not well-established. Therefore, this study aims to comprehensively investigate two analysis strategies for assessing the turbulence characteristics of non-stationary wind events in a mountain valley, utilizing high-frequency wind field data collected by triaxial ultrasonic anemometers. First, an effective framework is developed to classify and quantify non-stationary processes. This framework enables a detailed examination of the non-stationarity inherent in turbulence fluctuations, establishing a solid theoretical foundation for their modeling and characterization. Additionally, the validity of both conventional and time-dependent analysis strategies for assessing the turbulence characteristics of various nonstationary wind events is investigated and discussed, including thermally developed winds, convective gusts, and cooling windstorms. Our findings reveal that there are discrepancies between the two analysis strategies. Notably, the time-dependent analysis strategy can serve as a generalized approach applicable to both non-stationary and stationary turbulence fluctuations. Consequently, it is unnecessary to examine the non-stationarity of turbulence fluctuations prior to analyzing turbulence characteristics, which will improve convenience in practical applications. The outcomes of this study are expected to offer valuable insights for field measurements and fluid-structure interactions, which are significant concerns within the wind engineering community.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"267 ","pages":"Article 106266"},"PeriodicalIF":4.9,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416528","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 : 2025-10-29DOI: 10.1016/j.jweia.2025.106265
Changhong Tong , Min Liu , Shidong Nie , Kunpeng Guo , Jianjun Li , Baolong Cheng
Static uniform loading tests remain the standard method for evaluating the wind resistance of roof systems, though their validity is constrained by inherent discrepancies from actual dynamic non-uniform wind load. While prior studies have established the dynamic wind load effects on high-vertical standing seam metal roof systems (H-SSMRS), the interaction mechanisms remain insufficiently understood for 360° low-vertical SSMRS (360L-SSMRS) due to their fundamentally different joint mechanics. This investigation employs finite element analysis to quantify the ultimate pressure differentials between static uniform and dynamic non-uniform wind load through a wind load distribution influence coefficient. The contribution of panel width and connection types of roofs to this effect was studied. Static wind uplift safety factor is discussed using a probabilistic design method, considering the impact. The results show that the panel width significantly contributes to wind load distribution influence coefficients, changing from a positive effect to a negative one as the panel width decreases. The 360L-SSMRS may be more favorably impacted by dynamic non-uniform wind load compared to the H-SSMRS. Static wind uplift safety factor for the 360L-SSMRS is recommended to be selected based on roof zones and panel widths rather than using a fixed value.
{"title":"Comparison of wind-resistant capacities of 360° low-vertical standing seam roof systems under static uniform pressures and dynamic non-uniform wind pressures","authors":"Changhong Tong , Min Liu , Shidong Nie , Kunpeng Guo , Jianjun Li , Baolong Cheng","doi":"10.1016/j.jweia.2025.106265","DOIUrl":"10.1016/j.jweia.2025.106265","url":null,"abstract":"<div><div>Static uniform loading tests remain the standard method for evaluating the wind resistance of roof systems, though their validity is constrained by inherent discrepancies from actual dynamic non-uniform wind load. While prior studies have established the dynamic wind load effects on high-vertical standing seam metal roof systems (H-SSMRS), the interaction mechanisms remain insufficiently understood for 360° low-vertical SSMRS (360L-SSMRS) due to their fundamentally different joint mechanics. This investigation employs finite element analysis to quantify the ultimate pressure differentials between static uniform and dynamic non-uniform wind load through a wind load distribution influence coefficient. The contribution of panel width and connection types of roofs to this effect was studied. Static wind uplift safety factor is discussed using a probabilistic design method, considering the impact. The results show that the panel width significantly contributes to wind load distribution influence coefficients, changing from a positive effect to a negative one as the panel width decreases. The 360L-SSMRS may be more favorably impacted by dynamic non-uniform wind load compared to the H-SSMRS. Static wind uplift safety factor for the 360L-SSMRS is recommended to be selected based on roof zones and panel widths rather than using a fixed value.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"267 ","pages":"Article 106265"},"PeriodicalIF":4.9,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416527","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 : 2025-10-25DOI: 10.1016/j.jweia.2025.106257
Tomoyuki Murakami , Tetsuro Taniguchi
Wind forces acting on vibrating buildings, or unsteady wind forces, are influenced by transformations in the wind pressure fields around the structures caused by their vibrations. Although significant research effort has been invested in analyzing unsteady wind forces, the literature is deficient in a satisfactory explanation of their relationship with the fluctuating wind pressure fields around a building. This study employs complex proper orthogonal decomposition analysis to examine the fluctuating wind pressure fields around rigid and elastic models under smooth and gradient flow conditions. This paper presents a method to represent fluctuating wind pressure fields formed by the first and second modes using a symmetric and anti-symmetric modes. Using this approach, the study investigates the relationship between the anti-symmetric fluctuating wind pressure field—characterized by the product of the anti-symmetric mode and its corresponding principal coordinate—and the across-wind forces and associated response displacements. Under smooth flow conditions at resonance, the anti-symmetric fluctuating wind pressure fields of the elastic model, influenced by the formation of Kármán vortices, differ significantly from those of the rigid model. Specifically, pressure fluctuations intensify across a wide area on the model's sides, and the wind force aligns more closely in phase with the response displacement at resonance, amplifying the vibration of the elastic model. Under gradient flow conditions, the across-wind force decreases approximately half a cycle after the local maximum of the across-wind vibration of the elastic model. This indicates that the vibration of the elastic model can suppress the wind force.
{"title":"Relationship between unsteady wind forces and fluctuating wind pressure fields around a prism","authors":"Tomoyuki Murakami , Tetsuro Taniguchi","doi":"10.1016/j.jweia.2025.106257","DOIUrl":"10.1016/j.jweia.2025.106257","url":null,"abstract":"<div><div>Wind forces acting on vibrating buildings, or unsteady wind forces, are influenced by transformations in the wind pressure fields around the structures caused by their vibrations. Although significant research effort has been invested in analyzing unsteady wind forces, the literature is deficient in a satisfactory explanation of their relationship with the fluctuating wind pressure fields around a building. This study employs complex proper orthogonal decomposition analysis to examine the fluctuating wind pressure fields around rigid and elastic models under smooth and gradient flow conditions. This paper presents a method to represent fluctuating wind pressure fields formed by the first and second modes using a symmetric and anti-symmetric modes. Using this approach, the study investigates the relationship between the anti-symmetric fluctuating wind pressure field—characterized by the product of the anti-symmetric mode and its corresponding principal coordinate—and the across-wind forces and associated response displacements. Under smooth flow conditions at resonance, the anti-symmetric fluctuating wind pressure fields of the elastic model, influenced by the formation of Kármán vortices, differ significantly from those of the rigid model. Specifically, pressure fluctuations intensify across a wide area on the model's sides, and the wind force aligns more closely in phase with the response displacement at resonance, amplifying the vibration of the elastic model. Under gradient flow conditions, the across-wind force decreases approximately half a cycle after the local maximum of the across-wind vibration of the elastic model. This indicates that the vibration of the elastic model can suppress the wind force.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"267 ","pages":"Article 106257"},"PeriodicalIF":4.9,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362379","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 : 2025-10-25DOI: 10.1016/j.jweia.2025.106261
Wenkai Du , Guangzhong Gao , Suhan Li , Bo Fu , Jiawu Li , Ledong Zhu
Elastically-supported section model test is the most basic experimental technique in wind engineering, where helical springs are commonly employed to simulate the two-degree-of-freedom low-order modal motions of flexible structures. However, the traditional technique has intrinsic limitations in the accurate modeling of nonlinear structural behaviors, particularly nonlinear structural damping. Real-time hybrid simulation (RTHS), an emerging method for structural dynamics, is limited to linear responses or lacks accuracy in fluid-structure coupling, restricting its application to complex aeroelastic phenomena. To overcome these limitations, this study proposes a novel Real-Time Aeroelastic Hybrid Simulation (RTAHS) system that integrates an active control algorithm based on an Adaptive Extended Kalman Filter (AEKF). The proposed AEKF-enhanced framework enables real-time state estimation and compensation for nonlinear heave-transverse-torsion coupled vibrations while effectively mitigating inherent time-delay effects and measurement noise. In the RTAHS system, structural properties (mass, damping, and stiffness) are flexibly adjusted via the numerical substructure, while only the model's geometry requires precise replication in the wind tunnel. To validate the feasibility and accuracy of the proposed RTAHS system, a MATLAB/Simulink–FLUENT/UDF co-simulation framework is developed. Numerical verification results indicate that the proposed algorithm effectively estimates the motion responses in both linear and nonlinear scenarios.
{"title":"A novel real-time aeroelastic hybrid simulation system of section model wind tunnel testing based on adaptive extended Kalman filter","authors":"Wenkai Du , Guangzhong Gao , Suhan Li , Bo Fu , Jiawu Li , Ledong Zhu","doi":"10.1016/j.jweia.2025.106261","DOIUrl":"10.1016/j.jweia.2025.106261","url":null,"abstract":"<div><div>Elastically-supported section model test is the most basic experimental technique in wind engineering, where helical springs are commonly employed to simulate the two-degree-of-freedom low-order modal motions of flexible structures. However, the traditional technique has intrinsic limitations in the accurate modeling of nonlinear structural behaviors, particularly nonlinear structural damping. Real-time hybrid simulation (RTHS), an emerging method for structural dynamics, is limited to linear responses or lacks accuracy in fluid-structure coupling, restricting its application to complex aeroelastic phenomena. To overcome these limitations, this study proposes a novel Real-Time Aeroelastic Hybrid Simulation (RTAHS) system that integrates an active control algorithm based on an Adaptive Extended Kalman Filter (AEKF). The proposed AEKF-enhanced framework enables real-time state estimation and compensation for nonlinear heave-transverse-torsion coupled vibrations while effectively mitigating inherent time-delay effects and measurement noise. In the RTAHS system, structural properties (mass, damping, and stiffness) are flexibly adjusted via the numerical substructure, while only the model's geometry requires precise replication in the wind tunnel. To validate the feasibility and accuracy of the proposed RTAHS system, a MATLAB/Simulink–FLUENT/UDF co-simulation framework is developed. Numerical verification results indicate that the proposed algorithm effectively estimates the motion responses in both linear and nonlinear scenarios.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"267 ","pages":"Article 106261"},"PeriodicalIF":4.9,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416526","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}