Pub Date : 2026-04-01Epub Date: 2026-02-18DOI: 10.1016/j.jweia.2026.106387
I. Kurek , T. Castelain , M. Michard , D. Chacaton , S. Bholah , B. Pellarin
An experimental study of the pressure distribution at the rear of a full tractor–trailer vehicle is presented. The influence of the underbody flow blockage is investigated. The measurements are performed using a differential pressure sensor. Stability of reference pressure during tests is required, and its knowledge allows to sort measurements in terms of reliability. A device is designed to measure the reference pressure and a corrective term allows it to be related to the atmospheric pressure in rolling conditions. The estimated repeatability of the measurements is around 1% for a reference underbody configuration. For various opening ratio of the underbody, changes in the overall pressure force on the rear surface, denoted by the product between the area of the rear surface and the spatial average of the pressure coefficient , are mostly driven by the changes in rear surface. Finally, configurations with constant free spaces whose position are varying were considered. In this case, the vertical position of the free space is of primary importance for , with relative variations up to 18% between the lower and upper positions of the ground clearance free space.
{"title":"On-road pressure measurements on a full scale heavy-duty truck","authors":"I. Kurek , T. Castelain , M. Michard , D. Chacaton , S. Bholah , B. Pellarin","doi":"10.1016/j.jweia.2026.106387","DOIUrl":"10.1016/j.jweia.2026.106387","url":null,"abstract":"<div><div>An experimental study of the pressure distribution at the rear of a full tractor–trailer vehicle is presented. The influence of the underbody flow blockage is investigated. The measurements are performed using a differential pressure sensor. Stability of reference pressure during tests is required, and its knowledge allows to sort measurements in terms of reliability. A device is designed to measure the reference pressure and a corrective term allows it to be related to the atmospheric pressure in rolling conditions. The estimated repeatability of the measurements is around 1% for a reference underbody configuration. For various opening ratio of the underbody, changes in the overall pressure force on the rear surface, denoted by the product <span><math><mrow><mi>S</mi><mrow><mo>〈</mo><mover><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow><mo>¯</mo></mover><mo>〉</mo></mrow></mrow></math></span> between the area of the rear surface <span><math><mi>S</mi></math></span> and the spatial average of the pressure coefficient <span><math><mrow><mo>〈</mo><mover><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow><mo>¯</mo></mover><mo>〉</mo></mrow></math></span>, are mostly driven by the changes in rear surface. Finally, configurations with constant free spaces whose position are varying were considered. In this case, the vertical position of the free space is of primary importance for <span><math><mrow><mi>S</mi><mrow><mo>〈</mo><mover><mrow><msub><mrow><mi>C</mi></mrow><mrow><mi>p</mi></mrow></msub></mrow><mo>¯</mo></mover><mo>〉</mo></mrow></mrow></math></span>, with relative variations up to 18% between the lower and upper positions of the ground clearance free space.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"271 ","pages":"Article 106387"},"PeriodicalIF":4.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385766","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 : 2026-03-01Epub Date: 2026-01-20DOI: 10.1016/j.jweia.2026.106357
Mohamed Eissa , Kehinde J. Alawode , Amal Elawady
Power infrastructures encounter intensified weather-related events capable of causing widespread destruction and endangering the safety of residential communities in the USA and worldwide. This study investigates the wind-induced response of both damaged and undamaged transmission towers subjected to downburst-induced wind loads through experimental simulations conducted on 1:50 aeroelastic models at the Wall of Wind Experimental Facility. The purpose of this paper is to understand the dynamic behavior under a damage scenario, which represents two possible sources of vulnerabilities in power transmission systems: (1) aging effect and (2) exposure to successive extreme weather events that hinder timely maintenance, which adds a unique layer of realism. The structural damage is introduced experimentally by removing specific members with the goal of reducing the natural frequency of the tower model. Results indicate that structural damage increases the RMS acceleration responses by 86 % in the along-wind direction and 74 % in the across-wind direction. In the damaged tower, higher vibrational modes amplify wind-induced vibrations at the tower top by factors of 1.74 in the along-wind direction and 1.90 in the across-wind direction compared to the cross-arm level. Furthermore, time-frequency analysis reveals that although both higher and lower fundamental modes of vibration contribute to the response in the damaged tower case, higher resonance modes are less significant in the damaged tower than in the undamaged tower. Evidently, both towers exhibit non-quasi-static behavior under downburst wind loading. Overall, the findings clearly demonstrate that structural damage has a pronounced influence on the dynamic response of standalone lattice transmission towers and should not be overlooked in post-event assessment following extreme wind events.
{"title":"Aeroelastic response of undamaged and partially damaged transmission towers subjected to downburst-like outflows","authors":"Mohamed Eissa , Kehinde J. Alawode , Amal Elawady","doi":"10.1016/j.jweia.2026.106357","DOIUrl":"10.1016/j.jweia.2026.106357","url":null,"abstract":"<div><div>Power infrastructures encounter intensified weather-related events capable of causing widespread destruction and endangering the safety of residential communities in the USA and worldwide. This study investigates the wind-induced response of both damaged and undamaged transmission towers subjected to downburst-induced wind loads through experimental simulations conducted on 1:50 aeroelastic models at the Wall of Wind Experimental Facility. The purpose of this paper is to understand the dynamic behavior under a damage scenario, which represents two possible sources of vulnerabilities in power transmission systems: (1) aging effect and (2) exposure to successive extreme weather events that hinder timely maintenance, which adds a unique layer of realism. The structural damage is introduced experimentally by removing specific members with the goal of reducing the natural frequency of the tower model. Results indicate that structural damage increases the RMS acceleration responses by 86 % in the along-wind direction and 74 % in the across-wind direction. In the damaged tower, higher vibrational modes amplify wind-induced vibrations at the tower top by factors of 1.74 in the along-wind direction and 1.90 in the across-wind direction compared to the cross-arm level. Furthermore, time-frequency analysis reveals that although both higher and lower fundamental modes of vibration contribute to the response in the damaged tower case, higher resonance modes are less significant in the damaged tower than in the undamaged tower. Evidently, both towers exhibit non-quasi-static behavior under downburst wind loading. Overall, the findings clearly demonstrate that structural damage has a pronounced influence on the dynamic response of standalone lattice transmission towers and should not be overlooked in post-event assessment following extreme wind events.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"270 ","pages":"Article 106357"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039180","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}
The high-speed train (HST) running on embankments faces safety risks from intense crosswinds, potentially leading to derailments. Accurate simulation of the relative motion modes under crosswind is crucial to understanding aerodynamic load variations. This study investigates the aerodynamic characteristics of an HST on an embankment using two numerical methods: the static synthesis method (SSM) and the dynamic decomposition method (DDM). The improved delayed detached eddy simulation (IDDES) approach was used to analyse the flow field around the train, comparing aerodynamic loads, pressure distributions, and flow characteristics under two motion modes. Results show that varying velocity-inlet boundaries significantly impact flow characteristics around the embankment during strong crosswinds. In contrast, the SSM and the DDM effectively reduce the train's side force coefficient (Cy), lift force coefficient (Cz), and overturning moment (Cmx) by 16.9 %, 12.1 %, and 18.5 %, respectively. These findings provide important data to support the formulation of operational standards for high-speed trains (HSTs) running on embankments.
{"title":"Investigation of train-embankment relative motion modes on aerodynamic performance of a high-speed train under crosswind","authors":"Jie Zhang , Getachew Dejen Tebeje , Abdulmalik Adamu , Teklay Gebremeskel Melaku , Guangjun Gao","doi":"10.1016/j.jweia.2026.106356","DOIUrl":"10.1016/j.jweia.2026.106356","url":null,"abstract":"<div><div>The high-speed train (HST) running on embankments faces safety risks from intense crosswinds, potentially leading to derailments. Accurate simulation of the relative motion modes under crosswind is crucial to understanding aerodynamic load variations. This study investigates the aerodynamic characteristics of an HST on an embankment using two numerical methods: the static synthesis method (SSM) and the dynamic decomposition method (DDM). The improved delayed detached eddy simulation (IDDES) approach was used to analyse the flow field around the train, comparing aerodynamic loads, pressure distributions, and flow characteristics under two motion modes. Results show that varying velocity-inlet boundaries significantly impact flow characteristics around the embankment during strong crosswinds. In contrast, the SSM and the DDM effectively reduce the train's side force coefficient (<em>C</em><sub>y</sub>), lift force coefficient (<em>C</em><sub>z</sub>), and overturning moment (<em>C</em><sub>mx</sub>) by 16.9 %, 12.1 %, and 18.5 %, respectively. These findings provide important data to support the formulation of operational standards for high-speed trains (HSTs) running on embankments.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"270 ","pages":"Article 106356"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039181","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 : 2026-03-01Epub Date: 2026-01-23DOI: 10.1016/j.jweia.2026.106358
Fenella de Souza, Brian McAuliffe, Hali Barber, Bernard Tanguay
The effect of shear and skewness of the apparent wind approaching a passenger vehicle, due to variations of the terrestrial wind speed with height, was investigated. Based on terrestrial wind profiles measured adjacent to a test track, two highly sheared and skewed apparent-wind profiles were simulated at 15% scale in a wind tunnel to determine their effect on the aerodynamic drag and surface pressures of passenger vehicle models. The results show that the common track-test procedure of measuring the reference wind speed and angle at vehicle half-height, without regard for vertical variations, can underestimate the drag coefficient by 1% to 12% in windy conditions. Using a reference wind speed based on the average wind speed, or the average squared wind speed, over the height of the vehicle improved the prediction, although the discrepancy was still up to 7%. These averaged reference wind speeds, as well as the equivalent apparent-wind angle at which a uniform profile would produce the same drag coefficient as a sheared and twisted profile, were lower than the apparent-wind speed and angle at vehicle half-height for both simulated profiles. Importantly, they also occurred below vehicle half-height in the simulated profiles. The drag coefficient in the sheared and twisted apparent winds was lower than for uniform crosswinds at the same half-height yaw angle. This highlights the strong influence of flow conditions around the lower half of the vehicle on the aerodynamic drag coefficient, which was corroborated by surface pressure data. The implications for track testing are that, in the absence of apparent-wind profile measurements, it would be more appropriate to measure the reference apparent-wind speed and angle below rather than at vehicle half-height, in agreement with the recommendations of other researchers. The results of this study also have implications for wind-averaged drag computations.
{"title":"A wind-tunnel study of the effect of sheared wind profiles on the aerodynamic drag of passenger vehicle models","authors":"Fenella de Souza, Brian McAuliffe, Hali Barber, Bernard Tanguay","doi":"10.1016/j.jweia.2026.106358","DOIUrl":"10.1016/j.jweia.2026.106358","url":null,"abstract":"<div><div>The effect of shear and skewness of the apparent wind approaching a passenger vehicle, due to variations of the terrestrial wind speed with height, was investigated. Based on terrestrial wind profiles measured adjacent to a test track, two highly sheared and skewed apparent-wind profiles were simulated at 15% scale in a wind tunnel to determine their effect on the aerodynamic drag and surface pressures of passenger vehicle models. The results show that the common track-test procedure of measuring the reference wind speed and angle at vehicle half-height, without regard for vertical variations, can underestimate the drag coefficient by 1% to 12% in windy conditions. Using a reference wind speed based on the average wind speed, or the average squared wind speed, over the height of the vehicle improved the prediction, although the discrepancy was still up to 7%. These averaged reference wind speeds, as well as the equivalent apparent-wind angle at which a uniform profile would produce the same drag coefficient as a sheared and twisted profile, were lower than the apparent-wind speed and angle at vehicle half-height for both simulated profiles. Importantly, they also occurred below vehicle half-height in the simulated profiles. The drag coefficient in the sheared and twisted apparent winds was lower than for uniform crosswinds at the same half-height yaw angle. This highlights the strong influence of flow conditions around the lower half of the vehicle on the aerodynamic drag coefficient, which was corroborated by surface pressure data. The implications for track testing are that, in the absence of apparent-wind profile measurements, it would be more appropriate to measure the reference apparent-wind speed and angle below rather than at vehicle half-height, in agreement with the recommendations of other researchers. The results of this study also have implications for wind-averaged drag computations.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"270 ","pages":"Article 106358"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039182","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}
High-speed rail systems deliver substantial capacity, efficiency, and reliability, yet their susceptibility to crosswind effects increases with higher operating speeds. Employing a mapping knowledge domain (MKD) approach, this study provides a comprehensive analysis of the development trends in research on aerodynamic performance and operational safety of trains in crosswind environments, drawing on papers published from 1981 through 2025 in the Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI). Knowledge mapping tools VOSviewer and Sci2 Tool are utilized, with key findings as follows: (1) Publication output exhibited gradual growth from 1981 to 2009, followed by a marked increase thereafter and China has emerged as the principal contributor to research on this field, particularly in engineering applications; (2) Multidimensional network analyses of authorship, institutional, and international collaborations reveal cooperative links among leading universities and research teams worldwide; (3) Document co-citation and keyword co-occurrence analyses have been employed to delineate subfields and synthesize frontier advancements within each; (4) Burst detection analysis reveals emerging research trends, such as “wind barrier” and “dynamic response”, which are likely to become key areas of focus in ensuring the stable and safe operation of trains under crosswind conditions in the future. This review provides scholars with a coherent, comprehensive framework and practical guidance for investigating train aerodynamic characteristics and ensuring operational safety.
{"title":"Aerodynamic performance and operational safety of high-speed trains in crosswind: visualization and analysis of mapping knowledge domain","authors":"Zi-Jian Guo , Cheng Peng , Zhan-Hao Guo , Yuan-Jiang Zeng , Jia-Hao Lu , Zheng-Wei Chen","doi":"10.1016/j.jweia.2026.106337","DOIUrl":"10.1016/j.jweia.2026.106337","url":null,"abstract":"<div><div>High-speed rail systems deliver substantial capacity, efficiency, and reliability, yet their susceptibility to crosswind effects increases with higher operating speeds. Employing a mapping knowledge domain (MKD) approach, this study provides a comprehensive analysis of the development trends in research on aerodynamic performance and operational safety of trains in crosswind environments, drawing on papers published from 1981 through 2025 in the Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI). Knowledge mapping tools VOSviewer and Sci2 Tool are utilized, with key findings as follows: (1) Publication output exhibited gradual growth from 1981 to 2009, followed by a marked increase thereafter and China has emerged as the principal contributor to research on this field, particularly in engineering applications; (2) Multidimensional network analyses of authorship, institutional, and international collaborations reveal cooperative links among leading universities and research teams worldwide; (3) Document co-citation and keyword co-occurrence analyses have been employed to delineate subfields and synthesize frontier advancements within each; (4) Burst detection analysis reveals emerging research trends, such as “wind barrier” and “dynamic response”, which are likely to become key areas of focus in ensuring the stable and safe operation of trains under crosswind conditions in the future. This review provides scholars with a coherent, comprehensive framework and practical guidance for investigating train aerodynamic characteristics and ensuring operational safety.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"270 ","pages":"Article 106337"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980850","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 : 2026-03-01Epub Date: 2026-01-10DOI: 10.1016/j.jweia.2026.106339
Claudia Schiavini , Massimo Marro , Marco Ravina , Deborah Panepinto , Mariachiara Zanetti , Lionel Soulhac , Pietro Salizzoni
The accidental release of hazardous airborne pollutants on industrial sites creates risks associated with the exceedance of toxicity or explosivity limits. Capturing these risks requires predicting higher-order statistics of concentration fluctuations at various distances from the source. This challenge, already complex in atmospheric boundary layers, is further complicated by the typical built environment of industrial sites. To address this, we conducted wind-tunnel experiments on the dispersion of a passive scalar from a localized ground-level source within a reduced-scale model of an industrial site. The experiments measured the velocity and concentration fields, while varying the geometry of an upstream building simulating typical complex industrial structures.
A key focus of our investigation is the one-point passive scalar concentration PDF, whose experimental realizations were systematically compared to three analytical models: the gamma, two-parameter Weibull and lognormal distributions. The gamma distribution generally provides the best predictions, although the lognormal model performs better within the building wake near the source. While the main discrepancies between theoretical distributions and experimental data consistently occur at low concentration values, all three distributions accurately predict the 95th and 99th concentration percentiles. Thus, peak and hazardous concentration levels can be reliably estimated even without fully capturing the complete concentration distribution.
{"title":"Air pollutant concentration fluctuations in an industrial site: A wind tunnel study","authors":"Claudia Schiavini , Massimo Marro , Marco Ravina , Deborah Panepinto , Mariachiara Zanetti , Lionel Soulhac , Pietro Salizzoni","doi":"10.1016/j.jweia.2026.106339","DOIUrl":"10.1016/j.jweia.2026.106339","url":null,"abstract":"<div><div>The accidental release of hazardous airborne pollutants on industrial sites creates risks associated with the exceedance of toxicity or explosivity limits. Capturing these risks requires predicting higher-order statistics of concentration fluctuations at various distances from the source. This challenge, already complex in atmospheric boundary layers, is further complicated by the typical built environment of industrial sites. To address this, we conducted wind-tunnel experiments on the dispersion of a passive scalar from a localized ground-level source within a reduced-scale model of an industrial site. The experiments measured the velocity and concentration fields, while varying the geometry of an upstream building simulating typical complex industrial structures.</div><div>A key focus of our investigation is the one-point passive scalar concentration PDF, whose experimental realizations were systematically compared to three analytical models: the gamma, two-parameter Weibull and lognormal distributions. The gamma distribution generally provides the best predictions, although the lognormal model performs better within the building wake near the source. While the main discrepancies between theoretical distributions and experimental data consistently occur at low concentration values, all three distributions accurately predict the 95th and 99th concentration percentiles. Thus, peak and hazardous concentration levels can be reliably estimated even without fully capturing the complete concentration distribution.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"270 ","pages":"Article 106339"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145941277","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 : 2026-03-01Epub Date: 2026-01-12DOI: 10.1016/j.jweia.2026.106336
Fengbo Wu , Na Wang , Yan Jiang , Shaopeng Li , Liuliu Peng , Ao Mei
Given costly wind tunnel tests and time-consuming simulations, limited wind pressure time histories on low-rise building envelopes lead to uncertainty in fatigue estimation. Currently, the Tovo-Benasciutti method (denoted as TB method) (Benasciutti and Tovo, 2005a) combined with the translation functions which are commonly represented by cumulative distribution function (CDF) mapping (TB-CDF), Hermite polynomial model (TB-HPM), Johnson transformation model (TB-JTM), and Piecewise HPM (TB-PHPM), is widely used in fatigue damage calculation. However, their performance differences and uncertainties of estimated fatigue damage remain unclear. Therefore, based on wind tunnel test data, this paper compares the fatigue estimation performance and analyzes the relationship between key parameters such as time duration and fatigue damage uncertainties of these models, and proposes semi-empirical analytical formulas for estimating the mean and uncertainty of fatigue damage. Results show that TB-CDF provides the highest accuracy in fatigue estimation, followed by TB-PHPM, with TB-HPM being the worst. TB-CDF yields the smallest uncertainty in fatigue estimation, followed by TB-JTM, while TB-PHPM has the largest. With the increase of time duration, uncertainty of fatigue decreases and tends to stabilize, and it is positively correlated with the uncertainty of most parameters except for a few parameters. The developed formulas have satisfactory estimation accuracy.
由于风洞试验成本高、模拟时间长,低层建筑围护结构有限的风压时程导致了疲劳估计的不确定性。目前,Tovo-Benasciutti方法(简称TB方法)(Benasciutti and Tovo, 2005a)与通常以累积分布函数(CDF)映射(TB-CDF)、Hermite多项式模型(TB-HPM)、Johnson变换模型(TB- jtm)和分段HPM (TB- phpm)为代表的平移函数相结合,被广泛应用于疲劳损伤计算中。然而,它们的性能差异和估计疲劳损伤的不确定性仍然不清楚。因此,本文基于风洞试验数据,比较了几种模型的疲劳估计性能,分析了时间等关键参数与疲劳损伤不确定性之间的关系,提出了估计疲劳损伤均值和不确定性的半经验分析公式。结果表明,TB-CDF的疲劳估计精度最高,其次是TB-PHPM, TB-HPM的疲劳估计精度最差。TB-CDF在疲劳估计中的不确定性最小,其次是TB-JTM,而TB-PHPM的不确定性最大。随着时间的增加,疲劳的不确定性减小并趋于稳定,除少数参数外,与大部分参数的不确定性呈正相关。所建立的公式具有满意的估计精度。
{"title":"Analysis of uncertainties in the fatigue damage of low-rise building envelopes under non-Gaussian wind pressures based on the Tovo-Benasciutti method with different translation functions","authors":"Fengbo Wu , Na Wang , Yan Jiang , Shaopeng Li , Liuliu Peng , Ao Mei","doi":"10.1016/j.jweia.2026.106336","DOIUrl":"10.1016/j.jweia.2026.106336","url":null,"abstract":"<div><div>Given costly wind tunnel tests and time-consuming simulations, limited wind pressure time histories on low-rise building envelopes lead to uncertainty in fatigue estimation. Currently, the Tovo-Benasciutti method (denoted as TB method) (Benasciutti and Tovo, 2005a) combined with the translation functions which are commonly represented by cumulative distribution function (CDF) mapping (TB-CDF), Hermite polynomial model (TB-HPM), Johnson transformation model (TB-JTM), and Piecewise HPM (TB-PHPM), is widely used in fatigue damage calculation. However, their performance differences and uncertainties of estimated fatigue damage remain unclear. Therefore, based on wind tunnel test data, this paper compares the fatigue estimation performance and analyzes the relationship between key parameters such as time duration and fatigue damage uncertainties of these models, and proposes semi-empirical analytical formulas for estimating the mean and uncertainty of fatigue damage. Results show that TB-CDF provides the highest accuracy in fatigue estimation, followed by TB-PHPM, with TB-HPM being the worst. TB-CDF yields the smallest uncertainty in fatigue estimation, followed by TB-JTM, while TB-PHPM has the largest. With the increase of time duration, uncertainty of fatigue decreases and tends to stabilize, and it is positively correlated with the uncertainty of most parameters except for a few parameters. The developed formulas have satisfactory estimation accuracy.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"270 ","pages":"Article 106336"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980851","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 : 2026-03-01Epub Date: 2026-01-14DOI: 10.1016/j.jweia.2026.106354
Siwen Sun , Wen-Li Chen , Donglai Gao , Hui Li
The present study investigates the three-dimensional aerodynamic characteristics under non-uniform inflow through wind tunnel tests in comparison with uniform flow. A 4-m-long test model was employed, with ten cross-sectional pressure-measuring planes. The study examines the spanwise distribution of surface pressure and aerodynamic force coefficients, as well as their frequency characteristics. The relationship between wake frequencies, aerodynamic force frequencies, and trailing-edge surface pressure frequencies was analyzed. Proper Orthogonal Decomposition (POD) was applied to the time-frequency analysis results of the wake field. The absolute values of POD modes represent the extracted wake frequency components. Both POD and time-frequency analysis quantitatively characterize the spatial non-uniformity, spectral complexity, and temporal variability of wake frequencies under non-uniform flow. The results indicate that non-uniform wind velocities have a small impact on the mean pressure coefficients but a significant effect on the fluctuating pressure coefficients and aerodynamic force fluctuation coefficients. Larger wind velocity differences in non-uniform profiles lead to more pronounced spanwise non-uniformity in fluctuating pressure coefficients, mean lift coefficients, and POD modal energy distributions. The spanwise distribution of surface pressure frequencies at the trailing edge, high-frequency regions of aerodynamic forces, and wake frequencies is aligned with the trend of the inflow velocity profile.
{"title":"Aerodynamic characteristics and POD analysis of the long-span bridge under non-uniform flows","authors":"Siwen Sun , Wen-Li Chen , Donglai Gao , Hui Li","doi":"10.1016/j.jweia.2026.106354","DOIUrl":"10.1016/j.jweia.2026.106354","url":null,"abstract":"<div><div>The present study investigates the three-dimensional aerodynamic characteristics under non-uniform inflow through wind tunnel tests in comparison with uniform flow. A 4-m-long test model was employed, with ten cross-sectional pressure-measuring planes. The study examines the spanwise distribution of surface pressure and aerodynamic force coefficients, as well as their frequency characteristics. The relationship between wake frequencies, aerodynamic force frequencies, and trailing-edge surface pressure frequencies was analyzed. Proper Orthogonal Decomposition (POD) was applied to the time-frequency analysis results of the wake field. The absolute values of POD modes represent the extracted wake frequency components. Both POD and time-frequency analysis quantitatively characterize the spatial non-uniformity, spectral complexity, and temporal variability of wake frequencies under non-uniform flow. The results indicate that non-uniform wind velocities have a small impact on the mean pressure coefficients but a significant effect on the fluctuating pressure coefficients and aerodynamic force fluctuation coefficients. Larger wind velocity differences in non-uniform profiles lead to more pronounced spanwise non-uniformity in fluctuating pressure coefficients, mean lift coefficients, and POD modal energy distributions. The spanwise distribution of surface pressure frequencies at the trailing edge, high-frequency regions of aerodynamic forces, and wake frequencies is aligned with the trend of the inflow velocity profile.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"270 ","pages":"Article 106354"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981533","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 : 2026-03-01Epub Date: 2026-01-10DOI: 10.1016/j.jweia.2026.106338
Qingshan Yang , Wenxiang Teng , Kunpeng Guo , Tengfei Wang , Ling Zhao , Yi Hui , Min Liu
This study employs Large Eddy Simulation (LES) with dynamic mesh techniques to investigate fluid-structure interaction (FSI) mechanisms in a forced-vibration square prism under across-wind excitation. To effectively validate the reliability of the numerical simulation results, this study adopts model parameters consistent with the wind tunnel tests conducted by Steckley (1989). Accordingly, the numerical model was benchmarked against this dataset and demonstrated good agreement for both the base bending moment coefficients under stationary case and the aerodynamic damping/stiffness parameters under forced vibration cases. Key findings reveal distinct regimes governed by reduced velocity: within the lock-in regime, forced vibration induces frequency synchronization between vortex shedding and structural motion, generating secondary spectral peaks in base moment coefficients. Coherence analysis demonstrates strong vibration-aerodynamic coupling concentrated in the upper prism region, driven by amplified Kármán vortex development under motion-induced energy injection. Transient flow analysis identifies two competing three-dimensional (3D) vortex mechanisms: horizontal vortex street dominance during high-amplitude fluctuations and tip-conical vortex suppression under forced vibration. Beyond lock-in wind speed, aerodynamic spectra revert to static characteristics. The present study establishes a predictive framework for motion-induced aerodynamic forces in tower structures, resolving critical nonlinearities in vortex-induced vibration through quantified energy transfer pathways. Practical implications include refined aerodynamic damping models and spanwise coherence criteria for wind-resistant design of tower-like structures.
{"title":"Large Eddy Simulation of self-excited forces in forced-vibration square prisms: Lock-In regime dynamics and vortex shedding modulation","authors":"Qingshan Yang , Wenxiang Teng , Kunpeng Guo , Tengfei Wang , Ling Zhao , Yi Hui , Min Liu","doi":"10.1016/j.jweia.2026.106338","DOIUrl":"10.1016/j.jweia.2026.106338","url":null,"abstract":"<div><div>This study employs Large Eddy Simulation (LES) with dynamic mesh techniques to investigate fluid-structure interaction (FSI) mechanisms in a forced-vibration square prism under across-wind excitation. To effectively validate the reliability of the numerical simulation results, this study adopts model parameters consistent with the wind tunnel tests conducted by Steckley (1989). Accordingly, the numerical model was benchmarked against this dataset and demonstrated good agreement for both the base bending moment coefficients under stationary case and the aerodynamic damping/stiffness parameters under forced vibration cases. Key findings reveal distinct regimes governed by reduced velocity: within the lock-in regime, forced vibration induces frequency synchronization between vortex shedding and structural motion, generating secondary spectral peaks in base moment coefficients. Coherence analysis demonstrates strong vibration-aerodynamic coupling concentrated in the upper prism region, driven by amplified Kármán vortex development under motion-induced energy injection. Transient flow analysis identifies two competing three-dimensional (3D) vortex mechanisms: horizontal vortex street dominance during high-amplitude fluctuations and tip-conical vortex suppression under forced vibration. Beyond lock-in wind speed, aerodynamic spectra revert to static characteristics. The present study establishes a predictive framework for motion-induced aerodynamic forces in tower structures, resolving critical nonlinearities in vortex-induced vibration through quantified energy transfer pathways. Practical implications include refined aerodynamic damping models and spanwise coherence criteria for wind-resistant design of tower-like structures.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"270 ","pages":"Article 106338"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145941276","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 : 2026-03-01Epub Date: 2026-01-20DOI: 10.1016/j.jweia.2026.106353
Haoyuan Yang , Zhibin Jin , Ke Chen , Yongle Li
This study proposes a novel probabilistic method for estimating the extrema of the vehicle-bridge system subjected to crosswind and track irregularities, with a focus on key safety indexes such as wheel unloading ratio and derailment coefficient. The low-frequency components of crosswind induce significant variability in the vehicle's response during its short passage over the bridge. To address this, a probabilistic decoupling framework is introduced, in which the total system response is approximated as the sum of an intermediate response, due to crosswind alone, and a stationary Gaussian increment process, arising from track irregularities and coupling effects. A moving average filtering technique is employed to achieve this decomposition. An extreme value estimation formula is developed based on decomposition and upcrossing rate theory, and it is validated through numerical simulations. The method shows good accuracy and low bias using only tens of samples, outperforming conventional approaches. Finally, the proposed method is applied to evaluate the safe operating speed of high-speed vehicles under a mean wind velocity of 30 m/s. Results indicate that the wheel unloading ratio is the dominant safety index, and safe operation can be ensured at speeds up to 200 km/h.
{"title":"Extrema estimation of vehicle-bridge interaction responses under crosswind via probabilistic decoupling","authors":"Haoyuan Yang , Zhibin Jin , Ke Chen , Yongle Li","doi":"10.1016/j.jweia.2026.106353","DOIUrl":"10.1016/j.jweia.2026.106353","url":null,"abstract":"<div><div>This study proposes a novel probabilistic method for estimating the extrema of the vehicle-bridge system subjected to crosswind and track irregularities, with a focus on key safety indexes such as wheel unloading ratio and derailment coefficient. The low-frequency components of crosswind induce significant variability in the vehicle's response during its short passage over the bridge. To address this, a probabilistic decoupling framework is introduced, in which the total system response is approximated as the sum of an intermediate response, due to crosswind alone, and a stationary Gaussian increment process, arising from track irregularities and coupling effects. A moving average filtering technique is employed to achieve this decomposition. An extreme value estimation formula is developed based on decomposition and upcrossing rate theory, and it is validated through numerical simulations. The method shows good accuracy and low bias using only tens of samples, outperforming conventional approaches. Finally, the proposed method is applied to evaluate the safe operating speed of high-speed vehicles under a mean wind velocity of 30 m/s. Results indicate that the wheel unloading ratio is the dominant safety index, and safe operation can be ensured at speeds up to 200 km/h.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"270 ","pages":"Article 106353"},"PeriodicalIF":4.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039179","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}