Journal of Wind Engineering and Industrial Aerodynamics最新文献

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。

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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

Large Eddy Simulation of self-excited forces in forced-vibration square prisms: Lock-In regime dynamics and vortex shedding modulation 强制振动方棱镜中自激力的大涡模拟：锁定状态动力学和旋涡脱落调制

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.2026.106338

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.

本研究采用大涡模拟（LES）和动态网格技术研究了横风激励下强制振动方形棱镜内的流固耦合机制。为了有效验证数值模拟结果的可靠性，本研究采用与Steckley（1989）风洞试验一致的模型参数。因此，数值模型与该数据集进行了基准测试，结果表明，静态情况下的基础弯矩系数与强迫振动情况下的气动阻尼/刚度参数都具有良好的一致性。关键发现揭示了由速度降低控制的不同机制：在锁定机制中，强迫振动诱导涡旋脱落和结构运动之间的频率同步，在基矩系数中产生二次谱峰。相干分析表明，在运动诱导能量注入下，由放大的Kármán涡旋发展驱动的强振动-气动耦合集中在上棱镜区域。瞬态流动分析确定了两种相互竞争的三维涡旋机制：高振幅波动时的水平涡旋街优势和强迫振动下的尖锥涡抑制。在锁定风速之外，空气动力学谱恢复到静态特征。本研究建立了塔结构中运动诱导气动力的预测框架，通过量化的能量传递路径解决了涡激振动中的临界非线性问题。实际意义包括改进的气动阻尼模型和跨向相干准则，用于塔状结构的抗风设计。

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引用次数: 0

Flow acceleration effects on aerodynamic pressures of a 3:2 rectangular prism at critical angle of attack: A VMD–POD-based analysis 流动加速度对临界迎角3:2矩形棱镜气动压力的影响：基于vmd - pod的分析

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-09 DOI: 10.1016/j.jweia.2026.106335

Zhong-Xu Tan , Le-Dong Zhu , Xiu-Yu Chen

This study investigates the transient aerodynamic pressures on a 3:2 rectangular prism under accelerating flow at a critical angle of attack of 10° using numerical simulations. Variational Mode Decomposition (VMD) is employed to decompose the pressure signals into three principal components: a time-varying mean component, an attenuated fluctuating component, and a stable fluctuating component. Proper Orthogonal Decomposition (POD) is further applied to characterize the spatiotemporal features of each component, revealing that the first two POD modes capture over 92 % of the total energy, with spatially invariant covariance modes across different flow accelerations. The results indicate that flow acceleration induces significant unsteady effects, including amplified pressure fluctuations on leeward surfaces and adjacent corner regions, as well as a reduced Strouhal number during acceleration. Flow field analysis shows that acceleration alters vortex shedding patterns, enhances flow separation, and thereby amplifies transient pressure fluctuation. These findings demonstrate that conventional quasi-steady theory is inadequate for predicting wind loads under accelerating flows, and that the proposed VMD–POD analytical framework provides an effective component-based methodology for the wind-resistant design of structures exposed to non-synoptic wind events.

采用数值模拟的方法研究了临界迎角为10°时加速流动条件下3:2矩形棱镜的瞬态气动压力。采用变分模态分解（VMD）将压力信号分解为时变平均分量、衰减波动分量和稳定波动分量三个主分量。利用适当正交分解（POD）进一步表征各分量的时空特征，发现前两种POD模式捕获了92%以上的总能量，并且在不同的流动加速度下具有空间不变的协方差模式。结果表明，流动加速引起了显著的非定常效应，包括下风面和相邻角区压力波动放大，加速过程中斯特劳哈尔数减少。流场分析表明，加速改变了旋涡脱落模式，增强了流动分离，从而放大了瞬态压力波动。这些研究结果表明，传统的准稳态理论不足以预测加速气流下的风荷载，所提出的VMD-POD分析框架为非天气性风事件下结构的抗风设计提供了一种有效的基于构件的方法。

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引用次数: 0

An explainable deep ensemble model for probabilistic prediction of typhoon effects on a long-span bridge 台风对大跨度桥梁影响概率预测的可解释深度集合模型

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-07 DOI: 10.1016/j.jweia.2025.106330

Haoqing Li , Yiming Zhang , Hao Wang , Yichao Xu , Dan Li

Long-span bridges usually suffer severe vibrations under extreme wind events (such as typhoons), potentially leading to engineering failures and traffic accidents. Data-driven approaches facilitate the mitigation of risks through timely and accurate prediction of typhoon effects. Deep learning (DL) algorithms, including the convolutional neural network (CNN), long short-term memory (LSTM), and their combined models, have been extensively applied in various fields. Despite the superior predictive performance of CNN-LSTM in time series, it fails to provide probabilistic estimates to quantify uncertainty and lacks adequate interpretability. In this work, a CNN-bidirectional LSTM-based explainable deep ensemble (CNN-BiLSTM-EDE) model is proposed for the probabilistic prediction of typhoon effects on long-span bridges. Specifically, CNN and BiLSTM are integrated to enhance the capability of processing spatiotemporal typhoon characteristics. A deep ensemble scheme is then adopted to modify the CNN-BiLSTM architecture, enabling dynamic response estimation within a probabilistic framework. The final prediction is obtained by averaging the results through ensemble learning. Shapley additive explanation (SHAP) is introduced to reveal the marginal contributions and substantive impacts of feature variables on the model predictions. Decade-long typhoon datasets of a kilometer-scale long-span bridge are utilized to validate the proposed model. The results indicate that CNN-BiLSTM-EDE provides reliable response predictions while quantifying uncertainty by offering corresponding conditional distribution. According to the SHAP visualization results, mean wind speed and wind direction angle are identified as the most influential factors in predicting typhoon effects. Compared with four probabilistic benchmark models, CNN-BiLSTM-EDE demonstrates superior prediction accuracy and uncertainty quantification performance.

大跨度桥梁通常在极端风事件（如台风）下遭受剧烈振动，可能导致工程故障和交通事故。数据驱动的方法通过及时和准确地预测台风影响，有助于减轻风险。深度学习（DL）算法，包括卷积神经网络（CNN）、长短期记忆（LSTM）及其组合模型，已广泛应用于各个领域。尽管CNN-LSTM在时间序列上具有优越的预测性能，但它无法提供概率估计来量化不确定性，并且缺乏足够的可解释性。本文提出了一种基于cnn -双向lstm的可解释深度集合（CNN-BiLSTM-EDE）模型，用于台风对大跨度桥梁影响的概率预测。将CNN与BiLSTM相结合，增强台风时空特征的处理能力。然后采用深度集成方案对CNN-BiLSTM体系结构进行修改，实现了在概率框架内的动态响应估计。通过集成学习对结果进行平均，得到最终的预测结果。引入Shapley加性解释（SHAP）来揭示特征变量对模型预测的边际贡献和实质性影响。利用某公里尺度大跨度桥梁十年来的台风数据对模型进行了验证。结果表明，CNN-BiLSTM-EDE在给出相应条件分布量化不确定性的同时，提供了可靠的响应预测。根据SHAP可视化结果，确定平均风速和风向角是预测台风影响的最重要因素。与4种概率基准模型相比，CNN-BiLSTM-EDE模型具有较好的预测精度和不确定性量化性能。

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引用次数: 0

Sensitivity analysis of structural response to thunderstorm downburst models 结构对雷暴暴模式响应的敏感性分析

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-07 DOI: 10.1016/j.jweia.2026.106332

Ahmed M. Maky , Djordje Romanic , Matiyas A. Bezabeh

Most studies on structural response under downburst wind loads rely on a single downburst model or limited wind measurements. Uncertainties in key modeling parameters further complicate accurate response predictions. Furthermore, there are no standard formulations for power spectral density (PSD) or coherence functions specific to downburst turbulence characteristics. As a first step toward developing a probabilistic uncertainty quantification framework, this study examines the impact of various modeling assumptions and parameter uncertainties on structural response, utilizing the CAARC building as a testbed. A hazard analysis was conducted to predict the design-level downburst wind speed based on NOAA database records over 45 years. A global sensitivity analysis was utilized to rank the influence of uncertain modeling parameters. The results indicate that the structural response is mainly sensitive to maximum wind speed in the vertical profile. Other moderately influential parameters include the stagnation region radius, the building's position relative to the downburst center, and the mean turbulence intensity. While different vertical wind profile models affect the mean responses, they have minimal impact on the response probability distribution. In contrast, the coherence function significantly affects the probability distribution of maximum building drift, whereas variations in PSD functions have negligible effects.

下突风荷载作用下结构响应的大多数研究依赖于单一的下突风模型或有限的风测量。关键建模参数的不确定性进一步使准确的响应预测复杂化。此外，对于功率谱密度（PSD）或特定于下击湍流特性的相干函数，没有标准公式。作为开发概率不确定性量化框架的第一步，本研究利用CAARC建筑作为试验台，研究了各种建模假设和参数不确定性对结构响应的影响。利用美国国家海洋和大气管理局（NOAA） 45年的数据库记录，进行了危害分析，预测了设计级降暴雨风速。利用全局敏感性分析对不确定建模参数的影响进行排序。结果表明，结构响应主要对垂直剖面最大风速敏感。其他中等影响的参数包括停滞区半径、建筑物相对于下爆中心的位置和平均湍流强度。不同的垂直风廓线模式对平均响应有影响，但对响应概率分布的影响较小。相比之下，相干函数显著影响最大建筑物漂移的概率分布，而PSD函数的变化影响可以忽略不计。

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引用次数: 0

Wind tunnel experimental study of the effect of shading devices on wind-driven single-sided natural ventilation 遮阳装置对风力单面自然通风影响的风洞实验研究

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-01-05 DOI: 10.1016/j.jweia.2025.106328

Xiaochen Zhang , Zhengtao Ai , Lian Shen , Kenny C.S. Kwok , Zhongjian Jia , Guoqiang Zhang

Shading devices strongly influence façade aerodynamics but remain insufficiently examined for wind-driven single-sided ventilation (SSV). This study evaluates how external shading configurations modify the external–internal pressure difference and the resulting ventilation potential. Wind tunnel experiments were conducted on a 600-mm cubic model with a 350 × 350 mm opening, where twelve shading configurations were tested under wind directions from 0° to 180°. A ventilation-induced force (VIF) metric is introduced by directly integrating internal and external pressure coefficients, addressing the limitations of sealed-model approaches for SSV. Results show that shading type is the primary determinant of VIF magnitude, and its influence is strongly mediated by wind direction. Panel-type shading systems produce substantially stronger pressure-driven potential than louver-type systems, with vertical and composite panel-type shading systems exhibiting the greatest enhancement under oblique winds (60°–90°), where façade pressure differences are most sensitive to shading geometry. Installation angle further governs the performance of vertical panel-type shading systems: a 45° inclination enhances VIF across wind directions, whereas a 135° inclination weakens it, while horizontal panel-type shading systems display only minor angle sensitivity.

The findings clarify how shading type, installation angle, and wind direction jointly shape the ventilation-driving potential of large-opening façades. The study provides systematic experimental data and practical guidance for selecting shading configurations that enhance natural ventilation performance in early-stage façade design.

遮阳装置强烈影响空气动力学，但对风驱动的单侧通风（SSV）的研究还不够。本研究评估了外部遮阳配置如何改变外部-内部压力差和由此产生的通风潜力。在600 mm立方的模型上进行风洞实验，模型开口为350 × 350 mm，在0°~ 180°风向下测试了12种遮阳构型。通过直接整合内外压力系数，引入了通风诱导力（VIF）度量，解决了SSV密封模型方法的局限性。结果表明，遮阳类型是影响VIF大小的主要因素，其影响受风向的强烈调节。面板遮阳系统比百叶遮阳系统产生更强的压力驱动潜力，垂直和复合面板遮阳系统在斜风（60°-90°）下表现出最大的增强，其中面板压力差对遮阳几何形状最敏感。安装角度进一步决定了垂直板型遮阳系统的性能：45°的倾角增强了风向上的VIF，而135°的倾角减弱了它，而水平板型遮阳系统只显示出很小的角度敏感性。研究结果阐明了遮阳类型、安装角度和风向如何共同影响大开口遮阳墙的通风驱动潜力。该研究为早期遮阳设计中选择提高自然通风性能的遮阳配置提供了系统的实验数据和实践指导。

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引用次数: 0