Journal of Wind Engineering and Industrial Aerodynamics最新文献

Griffin plots of vortex-induced vibrations: revealing self-similarity for estimation from transient displacement responses 涡激振动的格里芬图：揭示瞬态位移响应估计的自相似性

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-04-01 Epub Date: 2026-02-07 DOI: 10.1016/j.jweia.2026.106376

Guangzhong Gao , Suhan Li , Jianming Hao , Bo Fu , Shucheng Yang , Ledong Zhu

Griffin plot relates the peak amplitudes of vortex-induced vibration to structural mass-damping parameter, known as the Scruton number. Griffin plot serves as a fundamental tool in many engineering fields. This study confirms a general self-similarity in Griffin plots, where plots derived from transient responses at any Scruton number converge to a single, consistent curve. This self-similarity arises from weak aeroelastic nonlinearity in vortex-induced vibration, manifesting as amplitude-dependent aerodynamic damping. Based on this self-similarity behavior, we propose a numerical method to estimate Griffin plots from transient displacement responses at any Scruton number. The resulting plots align closely with experimental data for both cross-flow and torsional vortex-induced vibrations, highlighting robust self-similar behavior across different Scruton numbers. Furthermore, for a rectangular cylinder, closed-box deck, and double-girder deck, we observe a consistent trend in the Griffin plots: the reciprocal of the peak VIV amplitudes exhibits an approximately linear dependence on the Scruton number, particularly for torsional oscillations. Motivated by this observation, we formulate a simple empirical model for the vortex-induced forces. Using aeroelastic parameters identified from only a single Scruton number, the model successfully reproduces the entire Griffin plot for a rectangular cylinder, thereby greatly reducing the need for extensive experimental data.

Griffin图将涡激振动的峰值幅值与结构质量阻尼参数（即Scruton数）联系起来。格里芬图是许多工程领域的基本工具。该研究证实了Griffin图中的一般自相似性，其中从任意Scruton数的瞬态响应导出的图收敛于单个一致的曲线。这种自相似性源于涡激振动的弱气动弹性非线性，表现为与幅值相关的气动阻尼。基于这种自相似特性，我们提出了一种从任意Scruton数的瞬态位移响应估计Griffin图的数值方法。结果图与横流和扭转涡诱导振动的实验数据密切相关，突出了不同Scruton数下的鲁棒自相似行为。此外，对于矩形圆柱体、闭箱甲板和双梁甲板，我们在Griffin图中观察到一致的趋势：峰值VIV振幅的倒数与Scruton数近似线性相关，特别是对于扭转振荡。基于这一观察结果，我们建立了一个简单的涡致力经验模型。该模型仅使用单个Scruton数确定的气动弹性参数，成功地再现了矩形圆柱体的整个Griffin图，从而大大减少了对大量实验数据的需求。

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引用次数: 0

Neural network-based eddy viscosity prediction for bluff body vehicle wake flow at high Reynolds number 基于神经网络的钝体车辆高雷诺数尾流涡黏度预测

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-04-01 Epub Date: 2026-02-09 DOI: 10.1016/j.jweia.2026.106386

Songyuan Hu , Xiaobi Wang , Chuqi Su , Yiping Wang , Junyan Wang , Shiqiang Wen

Improvements in RANS model accuracy and computational efficiency can substantially impact automotive aerodynamic optimization. In this study, a deep neural network–based turbulence model is developed to predict the flow around bluff body vehicles. Using an Ahmed body dataset generated by the SST

k - ω

model, a mapping between flow-field physical quantities and eddy viscosity is constructed. The input features are extended to capture three-dimensional flow characteristics, with a random forest algorithm employed for feature selection. Analysis reveals that the orthogonality between velocity and its gradient, previously less significant in two-dimensional flows, becomes critical for predicting three-dimensional Ahmed body turbulence. The proposed model fully replaces the conventional SST

k - ω

model and is coupled with the CFD solver. Results show that it accurately reproduces the velocity and pressure fields, closely matching baseline RANS predictions. The predicted drag coefficient deviates by less than 6% from experimental measurements. For off-training conditions at the different yaw angle, the model exhibits slight underprediction in the wake core region and minor discrepancies in capturing upper vortices. Moreover, the model achieves a 30% reduction in computational time, demonstrating its potential for efficient, high-fidelity aerodynamic simulations in industrial applications.

RANS模型精度和计算效率的提高将对汽车气动优化产生重大影响。本文建立了一种基于深度神经网络的湍流模型来预测钝体车辆的绕流。利用SST k−ω模型生成的艾哈迈德体数据集，建立了流场物理量与涡动粘度的映射关系。对输入特征进行扩展以捕获三维流动特征，并采用随机森林算法进行特征选择。分析表明，以前在二维流动中不太重要的速度与其梯度之间的正交性，对于预测三维艾哈迈德体湍流变得至关重要。该模型完全取代了传统的SST k−ω模型，并与CFD求解器相结合。结果表明，该方法准确地再现了速度场和压力场，与基线RANS预测结果非常吻合。预测阻力系数与实验测量值的偏差小于6%。在不同偏航角的非训练条件下，模型在尾流核心区表现出轻微的预估不足，在捕捉上部涡时表现出较小的差异。此外，该模型的计算时间减少了30%，证明了其在工业应用中高效、高保真的空气动力学模拟的潜力。

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引用次数: 0

Experimental investigation on the reduction of wind loads on helical high-rise buildings under atmospheric boundary layer 大气边界层下螺旋高层建筑减小风荷载的试验研究

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-04-01 Epub Date: 2026-02-20 DOI: 10.1016/j.jweia.2026.106395

Kanghui Han, Guohui Shen, Shice Yu

To investigate the wind load of helical high-rise buildings, seven rigid square models with different twist angles (0°, 30°, 60°, 90°, 120°, 150°, 180°) were designed, and synchronous multi-pressure tests were conducted under four turbulent boundary layers in the wind tunnel. Results showed that significant mean and fluctuating wind pressures may occur at the corners of helical models at the wind incidence angle of 0° relative to the building base. The helical shape suppresses regular vortex shedding, broadening the bandwidth of the fluctuating wind load power spectral densities in across-wind and torsional directions, reducing their peak values, and significantly decreasing the fluctuating base moment coefficients. The suppressing effect of increasing twist angle on vortex shedding appears mostly when the twist angle is below 90°. Furthermore, the maximum absolute values of base moments occur at different wind incidence angles for models with different twist angles. The twist angle notably reduces the maximum absolute mean base torsional moment coefficient. Due to the curved surface of helical models, fluctuating wind loads are jointly generated by incoming turbulence and vortex shedding and reach their maximum values in an urban area. Finally, estimation equations for base wind load coefficients are proposed, incorporating the influence of twist angle and terrain category.

为了研究螺旋高层建筑的风荷载，设计了7个不同扭转角（0°、30°、60°、90°、120°、150°、180°）的刚性方形模型，并在风洞中4个湍流边界层下进行了同步多重压力试验。结果表明，当风入射角为0°时，螺旋模型的角部可能出现显著的平均风压和波动风压。螺旋形状抑制了规则涡脱落，拓宽了横风方向和扭转方向脉动风荷载功率谱密度的带宽，减小了它们的峰值，显著降低了脉动基矩系数。增大扭转角对旋涡脱落的抑制作用主要表现在扭转角小于90°时。在不同的风入射角下，不同的扭角模型的基本矩绝对值最大。扭转角显著降低了最大绝对平均基扭系数。由于螺旋模型的曲面，脉动风荷载是由来风湍流和旋涡脱落共同产生的，并在城市区域达到最大值。最后，建立了考虑扭转角和地形类型影响的基本风荷载系数估算方程。

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引用次数: 0

Wind-induced vibration control of tall buildings using active aerodynamic modification and intelligent optimization algorithms 基于主动气动修正和智能优化算法的高层建筑风激振动控制

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-04-01 Epub Date: 2026-02-04 DOI: 10.1016/j.jweia.2026.106370

Kaixin Xu , Gang Hu , Fangwei Hou

Active aerodynamic modification is an emerging research frontier for mitigating wind-induced vibration in structures. While it presents theoretical potential for adaptability, its development is constrained by the complexity of control logic and the need for efficient testing methodologies. This study presents a fundamental exploration of a novel cyber-physical system (CPS) designed to automate data acquisition and control in a wind tunnel setting. The primary objective is to validate a methodological framework that accelerates experimental iterations. Data from this CPS was used to train an Artificial Neural Network (ANN) as a high-fidelity surrogate model, mapping the relationship between actuator configurations and vibration responses. This ANN model was then coupled with three intelligent optimization—Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA)—to conduct a comparative study of optimization strategies under varying wind conditions. When applied to a scaled tall building model, the framework demonstrated the capability to identify configurations that suppress vibration. Rather than proposing an immediate engineering replacement for passive systems, this study analyzes the unique characteristics and convergence performance of each optimization algorithm within the control loop. Finally, a screening framework for actuators is introduced to enhance design efficiency. This interdisciplinary approach provides valuable methodological insights into the integration of automation, machine learning, and optimization, serving as a theoretical reference for the exploration of adaptive wind-induced vibration control.

主动气动改造是缓解结构风致振动的一个新兴研究前沿。虽然它在理论上具有适应性的潜力，但它的发展受到控制逻辑的复杂性和对有效测试方法的需求的限制。本研究提出了一种新型网络物理系统（CPS）的基本探索，该系统旨在实现风洞环境中数据采集和控制的自动化。主要目标是验证加速实验迭代的方法框架。该CPS的数据用于训练人工神经网络（ANN）作为高保真代理模型，映射执行器配置与振动响应之间的关系。然后，将该人工神经网络模型与遗传算法（GA）、粒子群优化（PSO）和模拟退火（SA）三种智能优化方法相结合，对不同风况下的优化策略进行了比较研究。当应用于一个比例的高层建筑模型时，该框架证明了识别抑制振动的配置的能力。本研究并没有提出被动系统的即时工程替代方案，而是分析了控制回路中每种优化算法的独特特性和收敛性能。最后，介绍了一种执行机构的筛选框架，以提高设计效率。这种跨学科的方法为自动化、机器学习和优化的集成提供了有价值的方法论见解，为探索自适应风致振动控制提供了理论参考。

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引用次数: 0

An aerodynamic measurement system to improve the efficiency of wind turbine rotor blades 一种提高风力机转子叶片效率的气动测量系统

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-04-01 Epub Date: 2026-02-04 DOI: 10.1016/j.jweia.2026.106368

Julien Deparday , Yuriy Marykovskiy , Imad Abdallah , Sarah Barber

The wind energy sector is growing rapidly with the installation of wind turbines with long, slender blades in diverse sites. To enhance operational performance under specific wind conditions and validate the aerodynamic design of flexible blades, comprehensive field aerodynamic data is crucial. However, published field measurements are scarce for large-scale rotor blades due to complex and costly installation of the requisite measurement systems. In recent work, we developed a wireless and self-sufficient aerodynamic measurement system, named Aerosense, which is less complex and costly than conventional aerodynamic measurement systems. The system uses sensors to obtain local aerodynamic pressures, blade motions, and inflow conditions. In this paper, we demonstrate the value of Aerosense in understanding the aerodynamic behaviour of rotor blades, using a 74W wind turbine operating in the field. After a thorough calibration and correction process, we demonstrate, for example, that the pressure distribution can vary significantly during one rotation of the blade, even under stable wind conditions. These variations are found to be due to the misalignment of the wind direction with the wind turbine’s rotational axis. We therefore conclude that the developed measurement system is valuable for understanding aerodynamic loading on rotor blades as well as the influence of the inflow conditions on wind turbine performance. This measurement system is applicable to other wind engineering challenges requiring distributed pressure measurements on large or flexible structures, such as bridges, cables, and building façades.

随着在不同地点安装长而细长叶片的风力涡轮机，风能部门正在迅速发展。为了提高柔性叶片在特定风力条件下的工作性能，验证柔性叶片的气动设计，综合的现场气动数据至关重要。然而，由于必要的测量系统的复杂和昂贵的安装，公开的大型转子叶片的现场测量很少。在最近的工作中，我们开发了一种无线和自给自足的空气动力学测量系统，称为Aerosense，它比传统的空气动力学测量系统更简单，成本更低。该系统使用传感器获取局部气动压力、叶片运动和流入情况。在本文中，我们展示了Aerosense在理解转子叶片空气动力学行为方面的价值，使用74W风力涡轮机在现场运行。经过彻底的校准和校正过程，我们证明，例如，即使在稳定的风力条件下，在叶片的一次旋转期间，压力分布也会发生显着变化。这些变化被发现是由于风向与风力涡轮机的旋转轴不对准。因此，我们得出结论，开发的测量系统对于了解转子叶片的气动载荷以及入流条件对风力机性能的影响是有价值的。该测量系统适用于其他需要对大型或柔性结构（如桥梁、电缆和建筑立面）进行分布式压力测量的风力工程挑战。

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引用次数: 0

A data-physics driven deep learning method for retrieving submesoscale wind speed fields in far-sea typhoons 一种数据物理驱动的深度学习方法用于检索远海台风亚中尺度风速场

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-04-01 Epub Date: 2026-02-18 DOI: 10.1016/j.jweia.2026.106391

Chun-wei Zhang , Shi-tang Ke , Lin Zhao , Guo-qing Huang , He-he Ren , Song-ye Zhu

Submesoscale processes in far-sea typhoons represent a critical pathway for the transfer of mesoscale kinetic energy to small-scale turbulent dissipation. The associated wind fields also constitute a primary source of initial conditions and real-time assimilation data for contemporary mesoscale meteorological models. Traditional land-based and ocean-based observation methods struggle to provide complete information on submesoscale wind speed fields over the deep ocean. This study proposes a data-physics driven deep learning retrieval method based on satellite infrared remote sensing data in conjunction with fluid dynamics equations. First, a dynamic grid adaptation method for the multiscale spatiotemporal matching of typhoon wind fields is developed using multi-channel infrared remote sensing data from the Himawari-8 meteorological satellite and the ERA5 global reanalysis wind field data. Then, based on the established spatiotemporally matched database of horizontal wind speed fields for far-sea typhoons in the Northwest Pacific, a data-physics driven deep convolutional neural network model is constructed by embedding loss functions with the two-dimensional Navier-Stokes equations and the continuity equation in polar coordinates. This approach ultimately achieves accurate retrieval of the submesoscale horizontal wind speed fields in far-sea typhoons. The study demonstrates that, compared to the data driven models which only identify typhoon center locations and vortex directions, the data-physics driven model promotes the convergence of high-order iterations, effectively reconstructs radial gradient variations in the typhoon horizontal wind speeds, and significantly improves retrieval accuracy in the high-wind eyewall region. The recommended distribution for the physics driven sample points is at r/R = 0.1, 0.2, 0.3, 0.4, 0.7, and 1.0, with a physical constraint intensity coefficient α = 100. Under these conditions, the model achieves RMSEs of 0.91 m/s and 0.86 m/s for eyewall and global horizontal wind speed retrieval respectively, with BIASs of −0.27 m/s and 0.26 m/s.

远海台风的亚中尺度过程是中尺度动能向小尺度湍流耗散转移的重要途径。相关风场也构成了当代中尺度气象模式初始条件和实时同化数据的主要来源。传统的陆基和海洋观测方法难以提供有关深海亚中尺度风速场的完整信息。本文提出了一种基于卫星红外遥感数据并结合流体动力学方程的数据物理驱动深度学习检索方法。首先，利用himawar -8气象卫星多通道红外遥感数据和ERA5全球再分析风场数据，建立了台风风场多尺度时空匹配的动态网格自适应方法。然后，在建立的西北太平洋远海台风水平风速场时空匹配数据库的基础上，将损失函数嵌入二维Navier-Stokes方程和极坐标系下的连续性方程，构建数据物理驱动的深度卷积神经网络模型。该方法最终实现了对远海台风亚中尺度水平风速场的精确反演。研究表明，与仅识别台风中心位置和涡旋方向的数据驱动模型相比，数据物理驱动模型促进了高阶迭代的收敛性，有效地重建了台风水平风速的径向梯度变化，显著提高了高风眼壁区域的反演精度。物理驱动样本点的推荐分布为r/ r = 0.1、0.2、0.3、0.4、0.7和1.0，物理约束强度系数α = 100。在此条件下，模型反演眼壁风速和全球水平风速的rmse分别为0.91 m/s和0.86 m/s， BIASs分别为- 0.27 m/s和0.26 m/s。

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引用次数: 0

Digital twin-based non-stationary wind field reconstruction with time-varying coherences for long-span bridges 基于时变相干的大跨度桥梁非平稳风场重建

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-04-01 Epub Date: 2026-02-17 DOI: 10.1016/j.jweia.2026.106392

Shu-Meng Li , You-Lin Xu , Shang-Jun Jiang , Zi-Feng Huang , Cheng Pei

Long-span bridges in mountainous regions are often subjected to non-stationary winds. Therefore, the non-stationary wind fields need to know in performing the buffeting analysis of these bridges. However, the limited anemometers equipped on a long-span bridge are insufficient to obtain a complete non-stationary wind field. This paper thus proposes a digital twin-based method to reconstruct a complete non-stationary wind field with time-varying coherence for a long-span bridge in a mountainous region. The real non-stationary wind field and the non-stationary wind characteristics measured by limited anemometers are taken as a physical entity. The conditionally simulated wind field is taken as a virtual entity. By mapping the non-stationary wind characteristics measured by limited anemometers to the conditionally simulated non-stationary wind field and at the same time by optimizing the time-varying coherence function, a complete non-stationary wind field along the bridge deck can be reconstructed. The proposed method is applied to a real long-span suspension bridge in a mountainous region. The results demonstrate that the reconstructed non-stationary wind field not only matches with the measured fluctuating wind speeds and wind spectra but also provides an accurate time-varying coherence function. The results also manifest that if three anemometers can be equipped at appropriate locations of the bridge deck, a sufficiently accurate non-stationary wind field can be reconstructed.

山区的大跨度桥梁经常受到不稳定风的影响。因此，在对这些桥梁进行抖振分析时，需要了解非平稳风场。然而，在大跨度桥梁上安装的有限风速计不足以获得完整的非静止风场。为此，本文提出了一种基于数字孪生的山区大跨度桥梁时变相干完全非平稳风场重建方法。将实际的非定常风场和有限风速仪测量的非定常风特征作为一个物理实体。将条件模拟的风场作为虚拟实体。通过将有限风速仪测得的非平稳风特征映射到有条件模拟的非平稳风场，同时对时变相干函数进行优化，可以重建完整的桥面非平稳风场。并将该方法应用于某山区实际大跨度悬索桥。结果表明，重建的非平稳风场不仅与实测的脉动风速和风谱吻合，而且提供了准确的时变相干函数。结果还表明，如果在桥面的适当位置安装三个风速计，可以重建一个足够精确的非平稳风场。

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引用次数: 0

Wind-induced vibration calculation method for transmission towers considering tower-line coupling effect 考虑塔线耦合效应的输电塔风振计算方法

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-04-01 Epub Date: 2026-02-19 DOI: 10.1016/j.jweia.2026.106388

Shuang Zhao , Chengtao Zhang , Yongjie Liu , Zhitao Yan , Eric Savory , Xueqin Zhang , Caiqiang Yang

The proposed wind-induced vibration calculation method considering the tower-line coupling effect (TCE) is a major step forward from the existing qualitative level of analysis to a quantitative one. By establishing a physical model of a one tower and two-span system, the closed solutions of the equivalent damping ratio

ζ_{e}

and the fluctuating discount coefficient

ε_{c}

, considering the influence of TCE on the wind-induced vibration of transmission towers, were derived based on stochastic vibration theory and modal analysis. By combining the authors' previous work, the reported study provided a correction procedure for the wind-induced vibration coefficient that integrates the influences of cross-arms, diaphragms, conductor geometric nonlinearity, and TCE. The verification and parameter analyses of the derived

ζ_{e}

and

ε_{c}

were carried out through finite element modeling calculations. The results showed that the conductors weaken the towers' resonant response, while the conductor wind loads affect the towers’ peak response combination, as indicated by

ζ_{e}

and

ε_{c}

, respectively. The proposed simplified formulae of

ζ_{e}

and

ε_{c}

can consider both the accuracy and applicability of the calculation. The accurate consideration of

ζ_{e}

and

ε_{c}

can both broaden the application scenarios of the current transmission line load codes and help to further rationalize the amount of steel used in tower construction.

本文提出的考虑塔线耦合效应的风致振动计算方法，从现有的定性分析水平向定量分析水平迈进了一大步。通过建立一塔两跨系统的物理模型，基于随机振动理论和模态分析，导出了考虑TCE对输电塔风致振动影响的等效阻尼比ζe和波动折现系数εc的封闭解。通过结合作者之前的工作，报告的研究提供了一个整合了横臂、横隔板、导体几何非线性和TCE影响的风激振动系数校正程序。通过有限元建模计算对推导出的ζe和εc进行了验证和参数分析。结果表明，导线削弱了塔的共振响应，导线风荷载影响了塔的峰值响应组合，分别用ζe和εc表示。提出的ζe和εc的简化公式可以兼顾计算的准确性和适用性。准确考虑ζe和εc，既可以拓宽现行输电线路荷载规范的适用范围，又有助于进一步合理铁塔的用钢量。

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引用次数: 0

Full-scale assessment of vehicle wind loading on the Great Belt East Bridge 大带东大桥车辆风荷载全尺寸评估

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-04-01 Epub Date: 2026-02-06 DOI: 10.1016/j.jweia.2026.106372

A. Larsen , M.B. Eriksen , F.R. Gottfredsen

The present paper reports on measurements of wind pressures made on a full-scale box trailer travelling across the Great Belt East Bridge. The purpose of the measurements was to assess the efficiency of local wind screens designed to alleviate the increased wind loading and decrease the recorded risk of wind induced overturning in the vicinity of the bridge towers and the anchor blocks. Several conclusions are drawn from the present investigation. The wind loading on the trailer is a function of the depth of the bridge section on which it is travelling. It increases by 75% when running on the 4.4 m deep girder of the suspension bridge compared to the 7 m deep girder of the approach bridges. The full-scale turbulent wind loading on the stationary trailer is found to display significantly higher low frequency components than observed in the model scale wind tunnel tests. This is not surprising in view of the wind tunnel turbulence modelling technique but should be remembered when assessing wind tunnel test results. Finally, it is concluded that the wind screens serve to smoothen the wind pressure on the trailer at the towers and anchor blocks.

本文报道了在一辆全尺寸箱式拖车上进行的风压测量。测量的目的是评估当地挡风玻璃的效率，这些挡风玻璃旨在减轻增加的风荷载，并降低桥塔和锚块附近风引起倾覆的记录风险。从目前的调查中得出了几个结论。拖车上的风荷载是它所行驶的桥段深度的函数。当在4.4米深的悬索桥主梁上运行时，与在7米深的引桥主梁上运行相比，它增加了75%。在静止拖车上的全尺寸湍流风荷载中，低频分量明显高于模型风洞试验中观察到的低频分量。考虑到风洞湍流建模技术，这并不奇怪，但在评估风洞试验结果时应记住。最后，得出结论，挡风玻璃可以平滑拖车在塔和锚块处的风压。

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引用次数: 0

Advancing tornado-like vortex (TLV) generation in straight-line wind simulators: An LES study 直线风模拟器中推进类龙卷风涡（TLV）的生成：LES研究

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2026-04-01 Epub Date: 2026-02-10 DOI: 10.1016/j.jweia.2026.106373

Mohammad Abid Hasan , Faiaz Khaled , Franklin T. Lombardo

This paper investigates the capability of rotating louvers/blades to generate and control tornado-like vortices (TLVs) using Large Eddy Simulation (LES) in straight-line wind simulators. A novel computational approach (in wind engineering) is employed to simulate flow around rotating louvers, which involves dynamic meshing using the Arbitrary Mesh Interface (AMI) technique and the application of pimpleDyMFoam solver to handle the complexities of dynamic meshing. The proposed method is expected to generate vortices from multiple pulses created by using a synchronized combination of louver motion and inflow. The generated vortices are evaluated based on three widely recognized criteria for TLV simulations: (a) the radial profile of pressure, (b) the radial profile of tangential velocity, and (c) the vertical profile of resultant velocity. Additionally, the ratios of tangential to radial speed (a measure of swirl ratio) and translational to tangential speed are evaluated to demonstrate the concept's efficacy in maintaining kinematic similarity. The results from a single pulse are examined in detail based on the criteria mentioned above to demonstrate the effectiveness of the proposed concept, followed by multi-pulse simulations to generate multiple vortices. The results from the single pulse and multi-pulse simulations reveal acceptable conformance with field observations and experimental data.

本文利用直线风模拟器中的大涡模拟（LES）研究了旋转百叶/叶片产生和控制龙卷风状涡（tlv）的能力。采用一种新颖的计算方法（在风工程中）来模拟旋转百叶周围的流动，该方法包括使用任意网格界面（AMI）技术进行动态网格划分和应用pimpleDyMFoam求解器来处理动态网格划分的复杂性。所提出的方法有望通过使用百叶窗运动和流入的同步组合产生的多个脉冲产生漩涡。所产生的涡是基于三个公认的TLV模拟标准来评估的：(a)压力的径向分布，(b)切向速度的径向分布，(c)合成速度的垂直分布。此外，切向径向速度的比率（旋涡比的测量）和动向切向速度进行评估，以证明该概念在保持运动相似性方面的有效性。基于上述标准，对单脉冲的结果进行了详细的检验，以证明所提出概念的有效性，然后进行了多脉冲模拟，以产生多个涡。单脉冲和多脉冲模拟结果与现场观测和实验数据吻合良好。

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引用次数: 0