Journal of Wind Engineering and Industrial Aerodynamics最新文献_第3页

A wind-tunnel study of the effect of sheared wind profiles on the aerodynamic drag of passenger vehicle models 剪切风廓线对乘用车模型气动阻力影响的风洞研究

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-23 DOI: 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.

研究了地面风速随高度变化对接近客车的视风切变和偏度的影响。基于测试轨道附近实测的地面风廓线，在风洞中以15%的比例尺模拟了两条高度剪切和倾斜的明显风廓线，以确定它们对乘用车模型气动阻力和表面压力的影响。结果表明，在不考虑垂直方向变化的情况下，采用在车辆半高处测量参考风速和参考风向角的常规轨道试验方法，在多风条件下会低估1% ~ 12%的阻力系数。使用基于车辆高度的平均风速或平均平方风速的参考风速改进了预测，尽管误差仍高达7%。这些平均参考风速，以及等效的明显风角，在这种情况下，均匀的轮廓将产生与剪切和扭曲的轮廓相同的阻力系数，低于两种模拟轮廓在车辆半高处的明显风速和角度。重要的是，在模拟剖面中，它们也发生在车辆半高以下。在相同半高偏航角的均匀侧风条件下，剪切风和扭曲风的阻力系数较低。这凸显了飞行器下半部分周围的流动条件对气动阻力系数的强烈影响，这一点得到了表面压力数据的证实。这对轨道测试的影响是，在没有明显风廓线测量的情况下，测量参考明显风速和角度比在车辆半高处测量更合适，这与其他研究人员的建议一致。这项研究的结果对风平均阻力计算也有影响。

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引用次数: 0

Rapid prediction of the spatiotemporal distribution of facade wind-driven rain using ANN and symbolic regression 基于人工神经网络和符号回归的立面风雨时空分布快速预测

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-21 DOI: 10.1016/j.jweia.2026.106361

Hui Yu, Huibo Zhang

Accurate quantification of the spatiotemporal distribution of wind-driven rain (WDR) on building facades is critical yet restricted by the high computational cost of numerical simulations and the limited precision of semi-empirical methods. To address this, this study aims to develop a rapid and accurate machine learning framework for predicting facade-level WDR spatiotemporal distribution. A quantitative approach was employed where a comprehensive dataset, covering diverse meteorological conditions and building configurations, was generated through numerical simulations to train an artificial neural network (ANN) model. Additionally, a surface roughness correction model was derived using symbolic regression. Results indicate that inlet wind speed and vertical position strongly influence WDR intensity. The ANN model achieved excellent accuracy (R² = 0.9998) and generalization (R² ≥ 0.996), with a computational speedup of over 4700 times compared to CFD simulations. The correction model effectively captured roughness effects (R² = 0.96). The framework's robustness and scalability were validated through a case study of a heritage building, demonstrating its utility in providing reliable boundary conditions for hygrothermal and durability analyses to support resilient building design.

准确量化建筑立面上的风雨时空分布至关重要，但受数值模拟计算成本高和半经验方法精度有限的限制。为了解决这一问题，本研究旨在开发一个快速准确的机器学习框架，用于预测立面水平WDR的时空分布。采用定量方法，通过数值模拟生成涵盖不同气象条件和建筑配置的综合数据集，以训练人工神经网络（ANN）模型。此外，采用符号回归方法推导了表面粗糙度校正模型。结果表明，入口风速和垂直位置对WDR强度影响较大。该模型具有较好的精度（R2 = 0.9998）和泛化（R2≥0.996），计算速度比CFD模拟提高4700倍以上。校正模型有效捕获粗糙度效应（R2 = 0.96）。该框架的稳健性和可扩展性通过一个遗产建筑的案例研究得到验证，证明了它在为湿热和耐久性分析提供可靠的边界条件以支持弹性建筑设计方面的实用性。

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引用次数: 0

Aeroelastic response of undamaged and partially damaged transmission towers subjected to downburst-like outflows 未损坏和部分损坏输电塔在类似下爆流作用下的气动弹性响应

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-20 DOI: 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.

在美国和世界范围内，电力基础设施遇到了加剧的天气相关事件，这些事件能够造成大范围的破坏并危及住宅社区的安全。本研究通过在风力试验设施墙上进行1:50气动弹性模型的实验模拟，研究了受损和未受损输电塔在下突风荷载作用下的风致响应。本文的目的是了解输电系统在损坏场景下的动态行为，这代表了两种可能的脆弱性来源：(1)老化效应；(2)暴露于连续的极端天气事件中，阻碍及时维护，这增加了一层独特的现实性。以降低塔的固有频率为目标，通过去除特定构件来引入结构损伤。结果表明，结构损伤使顺风向RMS加速度响应增加86%，横风向RMS加速度响应增加74%。在受损塔中，与横臂水平相比，较高的振动模态将塔顶的风致振动放大了1.74倍的顺风向和1.90倍的横风向。此外，时频分析表明，尽管高阶和低阶基振模态对损伤塔的响应都有贡献，但高阶共振模态在损伤塔中的作用不如未损伤塔的显著。显然，在下突风荷载作用下，两座塔都表现出非准静态的性能。总体而言，研究结果清楚地表明，结构损伤对独立式晶格传输塔的动力响应有显著影响，在极端风事件后的事后评估中不应忽视。

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引用次数: 0

Extrema estimation of vehicle-bridge interaction responses under crosswind via probabilistic decoupling 基于概率解耦的侧风作用下车桥相互作用响应极值估计

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-20 DOI: 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.

本文提出了一种新的概率方法来估计受侧风和轨道不平整影响的车桥系统的极值，重点关注车轮卸载比和脱轨系数等关键安全指标。侧风的低频分量在车辆通过桥梁的短时间内引起车辆响应的显著变化。为了解决这个问题，引入了一个概率解耦框架，其中系统总响应近似为仅由侧风引起的中间响应和由轨道不规则性和耦合效应引起的平稳高斯增量过程的总和。采用移动平均滤波技术来实现这种分解。基于分解和上交叉速率理论，建立了极值估计公式，并通过数值模拟进行了验证。该方法仅使用数十个样本，具有良好的准确性和低偏差，优于传统的方法。最后，将该方法应用于平均风速为30 m/s时高速车辆的安全运行速度评估。结果表明，车轮卸荷率是主导安全指标，在200 km/h的速度下可以保证安全运行。

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引用次数: 0

Corrigendum to “Flow-induced vibration and force characteristics of a downstream cylinder with two degrees of freedom influenced by upstream cylinder wake” [J. Wind Eng. Ind. Aerod. 265 (2025) 106163] “受上游气缸尾迹影响的两自由度下游气缸的流致振动和力特性”的更正[J]。风Eng。航空学报。265 (2025)106163]

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-17 DOI: 10.1016/j.jweia.2025.106327

Yan-Jiao Guo , Xiang-Wei Min , Wen-Li Chen

引用次数: 0

Aerodynamic performance and operational safety of high-speed trains in crosswind: visualization and analysis of mapping knowledge domain 横风下高速列车的气动性能与运行安全：制图知识域的可视化与分析

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-16 DOI: 10.1016/j.jweia.2026.106337

Zi-Jian Guo , Cheng Peng , Zhan-Hao Guo , Yuan-Jiang Zeng , Jia-Hao Lu , Zheng-Wei Chen

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.

高速铁路系统具有巨大的容量、效率和可靠性，但随着运行速度的提高，其对侧风效应的敏感性也在增加。本研究采用映射知识域（mapping knowledge domain， MKD）方法，综合分析了1981 - 2025年发表在《科学引文索引扩展版》（SCIE）和《社会科学引文索引》（SSCI）上的论文，对侧风环境下列车气动性能和运行安全研究的发展趋势进行了分析。利用知识图谱工具VOSviewer和Sci2 Tool，得出以下主要结论：(1)1981 - 2009年，中国在该领域，特别是在工程应用领域的论文发表量呈现出逐渐增长的趋势，此后显著增长，中国已成为该领域研究的主要贡献者；(2)作者身份、机构和国际合作的多维网络分析揭示了全球顶尖大学和研究团队之间的合作联系；(3)利用文献共被引和关键词共现分析对子领域进行划分，并综合各子领域的前沿进展；(4)突发检测分析揭示了“风障”和“动力响应”等新兴研究趋势，这些研究可能成为未来保障列车在侧风条件下稳定安全运行的重点研究领域。该综述为研究列车气动特性和确保运行安全提供了连贯、全面的框架和实践指导。

{"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":"2026-01-16","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}

引用次数: 0

Dynamic characteristics of overhead electrification catenary support structure in high-speed railway tunnel under train slipstream: A FSI simulation study 列车滑流作用下高速铁路隧道架空电气化接触网支撑结构动态特性的FSI仿真研究

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-15 DOI: 10.1016/j.jweia.2026.106355

Wei-Chao Yang , Lun Zhao , Yi-Kang Liu , Hong He , E Deng

When the high-speed train passes through the tunnel, its rapid movement causes severe air disturbance, leading to complex and intense train slipstream effects. Under these slipstream conditions, the Overhead Electrification Catenary Support Structure (OESS) inside the tunnel inevitably interacts with the transient airflow through fluid-structure interaction, consequently inducing complex vibrational responses. This study investigates the dynamic response characteristics of OESS in high-speed railway tunnels under train-induced slipstream effects using a three-dimensional fluid-structure interaction model. The results demonstrate that the longitudinal aerodynamic loads dominate the structural response, inducing significantly higher displacements and accelerations compared to the lateral and vertical directions. Notably, it is found that shorter train formations generate more critical aerodynamic excitation than longer formations, producing higher dynamic responses and load magnitudes. Quantitative analysis reveals distinct power-law relationships between train speed and OESS response parameters, while tunnel cross-sectional area shows linear correlations. Aerodynamic loads distribute non-uniformly across OESS components, with the Mast Pole experiencing the highest load intensity and the Steady Arm the lowest. Mechanistic insight from flow field analysis demonstrates that the enhanced responses under shorter formations originate from substantially increased local wind speeds (by over 10 %), elevated turbulence intensity, and more pronounced vortex structures. These findings provide critical insights for the aerodynamic safety design and fatigue assessment of OESS in high-speed railway tunnels.

高速列车通过隧道时，高速列车的快速运动引起强烈的空气扰动，造成复杂而强烈的列车滑流效应。在这种滑流条件下，隧道内架空电气化接触网支撑结构（OESS）不可避免地通过流固耦合与瞬态气流相互作用，从而诱发复杂的振动响应。采用三维流固耦合模型，研究了高速铁路隧道滑流效应下OESS的动力响应特性。结果表明，纵向气动载荷对结构响应起主导作用，引起的位移和加速度明显高于横向和垂直方向。值得注意的是，较短的列车编队比较长的列车编队产生更多的临界气动激励，产生更高的动力响应和载荷幅度。定量分析表明，列车速度与OESS响应参数之间存在明显的幂律关系，而隧道截面积与OESS响应参数之间存在线性相关关系。OESS组件的气动载荷分布不均匀，其中桅杆杆承受的载荷强度最高，而稳定臂承受的载荷强度最低。流场分析的机理表明，在较短地层下，增强的响应源于当地风速的大幅增加（超过10%）、湍流强度的增强和更明显的涡结构。这些研究结果为高速铁路隧道OESS的气动安全设计和疲劳评估提供了重要的见解。

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引用次数: 0

Aerodynamic characteristics and POD analysis of the long-span bridge under non-uniform flows 非均匀流作用下大跨度桥梁气动特性及POD分析

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-14 DOI: 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.

通过风洞试验，研究了非均匀进流条件下的三维气动特性，并与均匀进流条件进行了比较。试验模型长4m，有10个截面测压面。研究了表面压力和气动力系数的展向分布，以及它们的频率特性。分析了尾迹频率、气动力频率和尾缘表面压力频率之间的关系。对尾流场的时频分析结果进行了适当的正交分解（POD）。POD模态的绝对值表示提取的尾迹频率分量。POD和时频分析定量表征了非均匀流条件下尾迹频率的空间非均匀性、频谱复杂性和时间变异性。结果表明，非均匀风速对平均压力系数的影响较小，但对脉动压力系数和气动力脉动系数的影响较大。在非均匀剖面中，较大的风速差导致波动压力系数、平均升力系数和POD模态能量分布的展向非均匀性更加明显。尾缘表面压力频率、气动力高频区和尾迹频率的展向分布与流入速度剖面的趋势一致。

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引用次数: 0

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 基于不同平移函数的Tovo-Benasciutti方法的非高斯风压下低层建筑围护结构疲劳损伤不确定性分析

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-12 DOI: 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。

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引用次数: 0

Air pollutant concentration fluctuations in an industrial site: A wind tunnel study 工业场所空气污染物浓度波动：风洞研究

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-10 DOI: 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.

工业场所有害空气污染物的意外释放产生了与超过毒性或爆炸性限制有关的风险。捕捉这些风险需要预测离源不同距离的浓度波动的高阶统计数据。这一挑战在大气边界层中已经很复杂了，而工业场地的典型建筑环境又使其变得更加复杂。为了解决这个问题，我们在一个工业场地的缩小模型中，对来自局部地面源的被动标量的色散进行了风洞实验。实验测量了速度场和浓度场，同时改变了上游建筑的几何形状，模拟了典型的复杂工业结构。我们研究的一个重点是单点被动标量浓度PDF，其实验实现与三种分析模型：伽玛分布、双参数威布尔分布和对数正态分布进行了系统的比较。伽玛分布通常提供最好的预测，尽管对数正态模型在靠近源的建筑物尾流中表现更好。虽然理论分布与实验数据之间的主要差异始终发生在低浓度值，但所有三个分布都准确地预测了第95和第99个浓度百分位数。因此，即使没有完全捕获完整的浓度分布，也可以可靠地估计峰值和危险浓度水平。

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引用次数: 0