Journal of Wind Engineering and Industrial Aerodynamics最新文献_第8页

Field measurement study on typhoon characteristics based on stationary and non-stationary wind speed models 基于平稳和非平稳风速模型的台风特征实测研究

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2025-10-31 DOI: 10.1016/j.jweia.2025.106267

Xu Wang , Guoliang Zhang

Recent field measurements have demonstrated that conventional stationary random processes inadequately describe the wind characteristics of typhoons. Consequently, research needs to transition from stationary to non-stationary models. This study conducts a comparative analysis of stationary and non-stationary wind speed models, utilizing measured data from Typhoon Mangkhut, which had wind speeds exceeding 8 m/s at landfall. Firstly, the stationarity of the entire wind speed time series is assessed using the run test analysis method. Subsequently, the time-varying mean wind speed is derived through empirical mode decomposition (EMD) and discrete wavelet transform (DWT) techniques, with a comparative analysis of their efficiency. The results show that the DWT performs better in capturing the non-stationarity of the wind speed, and the extracted time-varying mean wind speed fluctuates more dramatically. On this basis, the non-stationary fluctuating wind characteristics, including turbulence intensity, gust factor, turbulence integral scale, and power spectral density (PSD), are further analyzed and compared with the stationary model results. It is found that the stationary model usually overestimates the fluctuating wind characteristics, resulting in conservative calculation outcomes. In addition, the study fits a stationary power spectral density model for Mangkhut in a flat sea area and estimates the evolving power spectra density (EPSD) in three directions by complex Morlet wavelets. It is found that the energy of non-stationary fluctuating winds is mainly concentrated in the low frequency band, and the energy decreases gradually with increasing frequency. The peak density of the EPSD of the turbulent wind displays notable time-varying features, which are essential for the transitory wind-induced vibrations of large-span structures. This work expands the database of non-stationary wind characteristics in extreme wind fields, offering significant references for wind-resistant designs in open sea regions.

最近的野外测量表明，传统的平稳随机过程不能充分描述台风的风特征。因此，研究需要从平稳模型过渡到非平稳模型。本文利用台风“山竹”登陆时风速超过8 m/s的实测数据，对平稳和非平稳风速模型进行了对比分析。首先，采用运行试验分析方法对整个风速时间序列进行平稳性评估。随后，通过经验模态分解（EMD）和离散小波变换（DWT）技术推导了时变平均风速，并对其效率进行了比较分析。结果表明，DWT在捕捉风速的非平稳性方面表现较好，提取的时变平均风速波动较大。在此基础上，进一步分析了湍流强度、阵风因子、湍流积分尺度和功率谱密度（PSD）等非平稳脉动风特征，并与平稳模型结果进行了比较。研究发现，平稳模型对脉动风特性估计过高，导致计算结果保守。此外，本文还拟合了平直海域山楂树的平稳功率谱密度模型，并利用复Morlet小波估计了三个方向上的演化功率谱密度。研究发现，非平稳脉动风的能量主要集中在低频段，且随频率的增加能量逐渐减少。紊流风的峰值密度具有显著的时变特征，这对大跨度结构的瞬态风致振动具有重要意义。本研究扩充了极端风场的非平稳风特性数据库，为开阔海域的抗风设计提供了重要参考。

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引用次数: 0

Field measurement study of non-stationary wind events in a mountain valley: Focusing on two analysis strategies for turbulence characteristics 山谷非平稳风场测量研究：聚焦湍流特性的两种分析策略

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2025-10-30 DOI: 10.1016/j.jweia.2025.106266

Yanwen Su , Yongping Zeng , Guowen Han

Wind characteristics are crucial for the wind-resistant design of long-span bridges located in mountain valleys. However, compared to coastal and plain regions, wind events in mountain valleys are often treated as complex flows that exhibit significant non-stationarity. Furthermore, existing analysis strategies for investigating the turbulence characteristics of these non-stationary wind events are not well-established. Therefore, this study aims to comprehensively investigate two analysis strategies for assessing the turbulence characteristics of non-stationary wind events in a mountain valley, utilizing high-frequency wind field data collected by triaxial ultrasonic anemometers. First, an effective framework is developed to classify and quantify non-stationary processes. This framework enables a detailed examination of the non-stationarity inherent in turbulence fluctuations, establishing a solid theoretical foundation for their modeling and characterization. Additionally, the validity of both conventional and time-dependent analysis strategies for assessing the turbulence characteristics of various nonstationary wind events is investigated and discussed, including thermally developed winds, convective gusts, and cooling windstorms. Our findings reveal that there are discrepancies between the two analysis strategies. Notably, the time-dependent analysis strategy can serve as a generalized approach applicable to both non-stationary and stationary turbulence fluctuations. Consequently, it is unnecessary to examine the non-stationarity of turbulence fluctuations prior to analyzing turbulence characteristics, which will improve convenience in practical applications. The outcomes of this study are expected to offer valuable insights for field measurements and fluid-structure interactions, which are significant concerns within the wind engineering community.

风特性对山谷大跨度桥梁的抗风设计至关重要。然而，与沿海和平原地区相比，山谷中的风事件通常被视为复杂的流动，表现出显著的非平稳性。此外，研究这些非平稳风事件湍流特性的现有分析策略还不完善。因此，本研究旨在利用三轴超声风速仪采集的高频风场数据，综合研究两种评估山谷非平稳风事件湍流特性的分析策略。首先，开发了一个有效的框架来对非平稳过程进行分类和量化。该框架能够详细检查湍流波动中固有的非平稳性，为其建模和表征奠定坚实的理论基础。此外，研究和讨论了用于评估各种非平稳风事件湍流特性的常规分析策略和时间相关分析策略的有效性，包括热发展风、对流阵风和冷却风暴。我们的研究结果表明，两种分析策略之间存在差异。值得注意的是，时间相关分析策略可以作为一种适用于非平稳和平稳湍流波动的广义方法。因此，在分析湍流特性之前不需要考察湍流波动的非平稳性，这将提高实际应用的便捷性。这项研究的结果有望为现场测量和流固相互作用提供有价值的见解，这是风工程界关注的重要问题。

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引用次数: 0

Comparison of wind-resistant capacities of 360° low-vertical standing seam roof systems under static uniform pressures and dynamic non-uniform wind pressures 静均压与动非均压条件下360°低垂直立缝屋面体系抗风能力比较

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2025-10-29 DOI: 10.1016/j.jweia.2025.106265

Changhong Tong , Min Liu , Shidong Nie , Kunpeng Guo , Jianjun Li , Baolong Cheng

Static uniform loading tests remain the standard method for evaluating the wind resistance of roof systems, though their validity is constrained by inherent discrepancies from actual dynamic non-uniform wind load. While prior studies have established the dynamic wind load effects on high-vertical standing seam metal roof systems (H-SSMRS), the interaction mechanisms remain insufficiently understood for 360° low-vertical SSMRS (360L-SSMRS) due to their fundamentally different joint mechanics. This investigation employs finite element analysis to quantify the ultimate pressure differentials between static uniform and dynamic non-uniform wind load through a wind load distribution influence coefficient. The contribution of panel width and connection types of roofs to this effect was studied. Static wind uplift safety factor is discussed using a probabilistic design method, considering the impact. The results show that the panel width significantly contributes to wind load distribution influence coefficients, changing from a positive effect to a negative one as the panel width decreases. The 360L-SSMRS may be more favorably impacted by dynamic non-uniform wind load compared to the H-SSMRS. Static wind uplift safety factor for the 360L-SSMRS is recommended to be selected based on roof zones and panel widths rather than using a fixed value.

静态均匀荷载试验仍然是评估屋面系统抗风能力的标准方法，尽管其有效性受到与实际动态非均匀风荷载固有差异的限制。虽然之前的研究已经确定了动态风荷载对高垂直立缝金属屋面系统（H-SSMRS）的影响，但由于360°低垂直立缝金属屋面系统（360L-SSMRS）的接缝力学特性根本不同，因此对其相互作用机制的了解还不够充分。本研究采用有限元分析，通过风荷载分布影响系数来量化静态均匀风荷载与动态非均匀风荷载之间的极限压差。研究了面板宽度和屋顶连接方式对这一影响的贡献。考虑影响因素，采用概率设计方法讨论了静力风升安全系数。结果表明：面板宽度对风荷载分布影响系数有显著影响，随着面板宽度的减小，面板宽度由正作用变为负作用；与H-SSMRS相比，360L-SSMRS可能更容易受到动态非均匀风荷载的影响。360L-SSMRS的静风抬升安全系数建议根据屋面面积和面板宽度选择，而不是使用固定值。

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引用次数: 0

Relationship between unsteady wind forces and fluctuating wind pressure fields around a prism 棱镜周围非定常风力与脉动风压场的关系

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2025-10-25 DOI: 10.1016/j.jweia.2025.106257

Tomoyuki Murakami , Tetsuro Taniguchi

Wind forces acting on vibrating buildings, or unsteady wind forces, are influenced by transformations in the wind pressure fields around the structures caused by their vibrations. Although significant research effort has been invested in analyzing unsteady wind forces, the literature is deficient in a satisfactory explanation of their relationship with the fluctuating wind pressure fields around a building. This study employs complex proper orthogonal decomposition analysis to examine the fluctuating wind pressure fields around rigid and elastic models under smooth and gradient flow conditions. This paper presents a method to represent fluctuating wind pressure fields formed by the first and second modes using a symmetric and anti-symmetric modes. Using this approach, the study investigates the relationship between the anti-symmetric fluctuating wind pressure field—characterized by the product of the anti-symmetric mode and its corresponding principal coordinate—and the across-wind forces and associated response displacements. Under smooth flow conditions at resonance, the anti-symmetric fluctuating wind pressure fields of the elastic model, influenced by the formation of Kármán vortices, differ significantly from those of the rigid model. Specifically, pressure fluctuations intensify across a wide area on the model's sides, and the wind force aligns more closely in phase with the response displacement at resonance, amplifying the vibration of the elastic model. Under gradient flow conditions, the across-wind force decreases approximately half a cycle after the local maximum of the across-wind vibration of the elastic model. This indicates that the vibration of the elastic model can suppress the wind force.

作用在振动建筑物上的风力，即非定常风力，受建筑物振动引起的结构周围风压场变化的影响。虽然在分析非定常风力方面投入了大量的研究工作，但文献中缺乏对非定常风力与建筑物周围脉动风压场之间关系的令人满意的解释。本文采用复固有正交分析方法研究了光滑流动和梯度流动条件下刚性模型和弹性模型周围的脉动风压场。本文提出了一种用对称模态和反对称模态表示由第一模态和第二模态形成的脉动风压场的方法。利用这种方法，研究了以反对称振型及其对应主坐标的乘积为特征的反对称脉动风压场与横向风力和相关响应位移之间的关系。在共振平滑流动条件下，受Kármán涡旋形成的影响，弹性模型的反对称脉动风压场与刚性模型的反对称脉动风压场存在显著差异。具体来说，在模型两侧的大范围内，压力波动加剧，并且风力与共振时的响应位移在相位上更加紧密地对齐，从而放大了弹性模型的振动。在梯度流动条件下，弹性模型横风振动达到局部最大值后，横风力减小约半个周期。这说明弹性模型的振动可以抑制风力。

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引用次数: 0

A novel real-time aeroelastic hybrid simulation system of section model wind tunnel testing based on adaptive extended Kalman filter 基于自适应扩展卡尔曼滤波的截面模型风洞试验实时气动弹性混合仿真系统

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2025-10-25 DOI: 10.1016/j.jweia.2025.106261

Wenkai Du , Guangzhong Gao , Suhan Li , Bo Fu , Jiawu Li , Ledong Zhu

Elastically-supported section model test is the most basic experimental technique in wind engineering, where helical springs are commonly employed to simulate the two-degree-of-freedom low-order modal motions of flexible structures. However, the traditional technique has intrinsic limitations in the accurate modeling of nonlinear structural behaviors, particularly nonlinear structural damping. Real-time hybrid simulation (RTHS), an emerging method for structural dynamics, is limited to linear responses or lacks accuracy in fluid-structure coupling, restricting its application to complex aeroelastic phenomena. To overcome these limitations, this study proposes a novel Real-Time Aeroelastic Hybrid Simulation (RTAHS) system that integrates an active control algorithm based on an Adaptive Extended Kalman Filter (AEKF). The proposed AEKF-enhanced framework enables real-time state estimation and compensation for nonlinear heave-transverse-torsion coupled vibrations while effectively mitigating inherent time-delay effects and measurement noise. In the RTAHS system, structural properties (mass, damping, and stiffness) are flexibly adjusted via the numerical substructure, while only the model's geometry requires precise replication in the wind tunnel. To validate the feasibility and accuracy of the proposed RTAHS system, a MATLAB/Simulink–FLUENT/UDF co-simulation framework is developed. Numerical verification results indicate that the proposed algorithm effectively estimates the motion responses in both linear and nonlinear scenarios.

弹性支撑截面模型试验是风力工程中最基本的试验技术，通常采用螺旋弹簧来模拟柔性结构的二自由度低阶模态运动。然而，传统的方法在非线性结构行为，特别是非线性结构阻尼的精确建模方面存在固有的局限性。实时混合仿真（RTHS）是一种新兴的结构动力学研究方法，但由于其局限于线性响应或流固耦合精度不高，限制了其在复杂气动弹性现象中的应用。为了克服这些限制，本研究提出了一种新的实时气动弹性混合仿真（RTAHS）系统，该系统集成了基于自适应扩展卡尔曼滤波器（AEKF）的主动控制算法。提出的aekf增强框架能够实时估计和补偿非线性起伏-横向-扭转耦合振动，同时有效减轻固有的时延效应和测量噪声。在RTAHS系统中，结构特性（质量、阻尼和刚度）可以通过数值子结构灵活调整，而只有模型的几何形状需要在风洞中精确复制。为了验证所提出的RTAHS系统的可行性和准确性，开发了MATLAB/ Simulink-FLUENT /UDF联合仿真框架。数值验证结果表明，该算法能有效估计线性和非线性场景下的运动响应。

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引用次数: 0

Stochastic Subspace Identification with Kalman filter for ambient sensor noise reduction in wind tunnel test 基于卡尔曼滤波的随机子空间辨识用于风洞试验环境传感器降噪

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2025-10-22 DOI: 10.1016/j.jweia.2025.106256

Tuan-Kiet La, Dionisio Bernal, Luca Caracoglia

This study introduces the integration of Stochastic Subspace Identification (SSID) with the Kalman filter as a general-purpose method for mitigating ambient sensor noise in wind tunnel tests. Filter parameters are estimated using SSID, a robust data-driven technique for extracting system dynamics under unknown input conditions. The proposed SSID-Kalman filter is validated through numerical simulations and experimental data from three aeroelastic tests, including acceleration and strain measurements from free-standing bridge towers, as well as voltage signals from a PVDF piezoelectric film excited by the aeroelastic response of an airfoil-based wind energy harvester. Numerical validation confirms the filter's capability to recover ground-truth signals by suppressing the noise. In wind tunnel experiments, the filter reduces noise across both low- and high-frequency ranges while preserving resonant components of the structural response. The signal-to-noise ratio gains reach 98.4 % for acceleration, 79.4 % for strain, and over 600 % for voltage. Compared with spectral subtraction, a method recently proposed by the first author, the SSID-Kalman filter demonstrates superior performance, particularly when dominant vibrational modes have only marginal energy above the noise floor. The method provides wind tunnel practitioners with a flexible and robust tool for sensor denoising and is broadly applicable to dynamic measurements representable within a state-space framework.

将随机子空间识别（SSID）与卡尔曼滤波相结合，作为风洞试验中环境传感器噪声抑制的通用方法。使用SSID估计滤波器参数，SSID是一种鲁棒的数据驱动技术，用于在未知输入条件下提取系统动力学。通过三个气动弹性测试的数值模拟和实验数据，包括独立桥塔的加速度和应变测量，以及由机翼型风能收集器的气动弹性响应激发的PVDF压电膜的电压信号，验证了所提出的ssd -卡尔曼滤波器。数值验证证实了该滤波器通过抑制噪声恢复地真值信号的能力。在风洞实验中，该滤波器降低了低频段和高频频段的噪声，同时保留了结构响应的共振分量。加速度的信噪比增益达到98.4%，应变增益达到79.4%，电压增益超过600%。与第一作者最近提出的谱减法方法相比，ssid -卡尔曼滤波器表现出优越的性能，特别是当主要振动模式仅在噪声底以上的边缘能量时。该方法为风洞从业者提供了一种灵活而稳健的传感器去噪工具，广泛适用于状态空间框架内可表示的动态测量。

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引用次数: 0

Wind pressure control of inclined photovoltaic roofs based on horizontal-axis small wind turbines 基于水平轴小型风力机的倾斜光伏屋顶风压控制

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2025-10-22 DOI: 10.1016/j.jweia.2025.106259

Wenjing Zhang , Haixin Jiang , Zikun Xu , Dabo Xin , Ying Zhao

Inclined photovoltaic (PV) roofs have high power generation efficiency and large energy output, thus dominate PV roof applications. However, their complex flow field and highly variable wind pressure distributions make them vulnerable under strong wind conditions. To address wind-induced fragility of inclined PV roofs in severe winds, this study uses large-eddy simulation (LES) to investigate how horizontal-axis small wind turbine (HASWT) influence wind loads and flow on PV roofs. The results show that at the most adverse wind direction angle of 45°, HASWTs reduce the peak wind pressure on the windward side of the PV roof, with an extreme wind pressure reduction of 54.1 %. Additionally, HASWTs decrease the wind velocity at the edges of the PV panel arrays and lessen the wind velocity gradient across the top and bottom surfaces of the PV panels. This work provides an effective method to enhance the wind resistance of inclined PV roofs, contributing to low-carbon building development and the goals of peak carbon and carbon neutrality.

斜屋顶具有发电效率高、发电量大的特点，在光伏屋顶应用中占主导地位。然而，它们复杂的流场和高度可变的风压分布使它们在强风条件下容易受到攻击。为了解决在强风条件下倾斜光伏屋顶的风致脆弱性问题，本研究使用大涡模拟（LES）来研究水平轴小型风力发电机（HASWT）如何影响光伏屋顶的风荷载和风流。结果表明，在最不利的风向角为45°时，高强度减热器降低了光伏屋顶迎风侧的峰值风压，极端风压降低了54.1%；此外，HASWTs降低了光伏电池板阵列边缘的风速，并减小了光伏电池板上下表面的风速梯度。这项工作为提高斜屋顶的抗风能力提供了有效的方法，有助于低碳建筑的发展，实现碳峰值和碳中和的目标。

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引用次数: 0

A transfer learning-enhanced multilayer perceptron for buffeting response prediction of long-span bridges 基于迁移学习增强的多层感知器的大跨度桥梁抖振响应预测

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2025-10-18 DOI: 10.1016/j.jweia.2025.106258

Xiaoxin Wang, Fuyou Xu, Mingjie Zhang

The lack of long-term wind field monitoring data in newly constructed long-span bridges often limits the availability of buffeting response datasets to short-term, small-sample measurements, typically under low wind speed conditions. Prediction models trained solely on such limited data commonly suffer from reduced accuracy and poor generalization, especially under high wind speed scenarios. To overcome these challenges, this study proposes a transfer learning-enhanced multilayer perceptron (TL-MLP) model for buffeting response prediction. The model is initially pretrained on a source domain with a large number of samplings covering a broad range of wind conditions to learn the underlying relationships between wind characteristics and structural responses. It is subsequently fine-tuned using limited data from the target domain, enabling adaptation to the specific wind field characteristics and buffeting response characteristics of the target bridge. The proposed method is validated using field measurements from a large-scale aeroelastic model of a long-span cable-stayed bridge under three representative cases in a natural wind environment. Results demonstrate that the proposed method significantly enhances prediction accuracy in data-scarce scenarios and improves extrapolation performance under high wind speeds. These findings underscore the potential of the proposed approach in improving the reliability of buffeting response prediction and safety assessment for newly constructed long-span bridges.

新建的大跨度桥梁缺乏长期风场监测数据，往往限制了抖振响应数据集的可用性，这些数据集只能用于短期、小样本的测量，通常是在低风速条件下。仅在这些有限的数据上训练的预测模型通常会受到精度降低和泛化不良的影响，特别是在高风速情景下。为了克服这些挑战，本研究提出了一种用于抖振响应预测的迁移学习增强多层感知器（TL-MLP）模型。该模型首先在一个源域上进行预训练，其中包含大量采样，覆盖了广泛的风条件，以了解风特征与结构响应之间的潜在关系。随后使用目标域的有限数据对其进行微调，使其能够适应特定的风场特性和目标桥梁的抖振响应特性。通过三种典型的自然风环境下大跨度斜拉桥大尺度气动弹性模型的现场实测，验证了该方法的有效性。结果表明，该方法显著提高了数据稀缺场景下的预测精度，提高了高风速下的外推性能。这些发现强调了所提出的方法在提高新建大跨度桥梁抖振响应预测和安全评估可靠性方面的潜力。

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引用次数: 0

Wind-induced vibration control of super tall building using semi-active tuned mass damper in ABAQUS ABAQUS中半主动调谐质量阻尼器对超高层建筑风振的控制

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2025-10-18 DOI: 10.1016/j.jweia.2025.106260

Ying Zhou , Yangyang Li , Zhiguang Zhou , Liangkun Wang , Kun Ding , Weifeng Zhu , Sunwei Ding

Wind-induced vibration control for high-rise buildings has been widely concerned because they are prone to large dynamic responses under strong wind excitations, which will cause serviceability problems. Passive tuned mass damper (TMD) and active TMD have been widely studied and used in tall buildings for vibration control. The semi-active TMD (STMD) has been extensively developed due to its excellent control effect, robustness, adaptivity and lower power consumption. However, there is no real application of STMD on wind-induced vibration control of high-rise buildings. Furthermore, current research on STMD mainly uses lumped mass model for numerical simulation, which brings unavoidable errors during simplifying the finite element model. In this study, the variable damping control algorithm of STMD is investigated and the variable damping element is developed based on secondary development in ABAQUS with the user-defined element (UEL) subroutine to simulate STMD. To verify its accuracy, a 10-degree of freedom lumped mass main structure model with variable damping STMD is created using UEL subroutine and exposed to different harmonic excitations, whose results are compared to theoretical values. It is found that they agree well and the variable damping element in ABAQUS can simulate the STMD accurately. Then, Shanghai North Bund Center under construction is proposed as the case study, whose height is 480 m. Under wind excitation obtained from wind tunnel tests, the control effect of variable damping STMD created by UEL is investigated in ABAQUS. The results show that the variable damping STMD can reset damping ratio in real time and performs better than optimal passive TMD, which can improve the serviceability to a great degree. This study provides a new method to simulate STMD in the finite element analysis, which can evaluate its control effect more precisely.

高层建筑在强风作用下容易产生较大的动力响应，导致其使用性能问题，因此高层建筑的风振控制一直受到广泛关注。被动调谐质量阻尼器（TMD）和主动调谐质量阻尼器（TMD）在高层建筑振动控制中得到了广泛的研究和应用。半主动TMD （STMD）以其优异的控制效果、鲁棒性、自适应性和较低的功耗得到了广泛的发展。然而，STMD在高层建筑风振控制中的实际应用还不多见。此外，目前对STMD的研究主要采用集中质量模型进行数值模拟，这在简化有限元模型时带来了不可避免的误差。本文研究了STMD的变阻尼控制算法，并在ABAQUS中利用用户定义单元（user-defined element， UEL）子程序对STMD进行二次开发，开发了变阻尼单元。为了验证其准确性，利用UEL子程序建立了具有变阻尼STMD的10自由度集总质量主结构模型，并对其进行了不同谐波激励，结果与理论值进行了比较。结果表明，两者吻合较好，ABAQUS中的变阻尼单元可以较准确地模拟STMD。然后以正在建设中的上海北外滩中心为例，该中心的高度为480 m。在风洞试验获得的风激励下，在ABAQUS中研究了UEL产生的变阻尼STMD的控制效果。结果表明，变阻尼STMD可以实时重置阻尼比，性能优于最优的无源TMD，可在很大程度上提高系统的使用性能。本研究为有限元模拟STMD提供了一种新的方法，可以更精确地评价其控制效果。

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引用次数: 0

Super-resolution reconstruction of simulated stochastic wind fields using ensemble conditional diffusion model 基于集合条件扩散模型的模拟随机风场超分辨率重建

IF 4.9 2区工程技术 Q1 ENGINEERING, CIVIL

Journal of Wind Engineering and Industrial Aerodynamics

Pub Date : 2025-10-17 DOI: 10.1016/j.jweia.2025.106249

Zidong Xu, Hao Wang, Kaiyong Zhao, Rui Zhou, Yuxuan Lin

Conducting wind field super-resolution (SR) reconstruction using limited dataset is crucial for analyzing wind effects on wind energy equipment and optimizing wind energy utilization. Currently, most SR reconstruction methods are primarily applied to wind data (e.g., field measurement, CFD simulation) that contain complete turbulent physical structures, which facilitate the smooth execution of reconstruction. However, in engineering practice, multivariate stochastic processes are commonly simulated and regarded as the stochastic wind fields, which lack of fundamental fluid dynamic laws, making reconstruction more challenging. To this end, the ensemble conditional Denoising Diffusion Probabilistic Model (DDPM) is firstly proposed. Unlike classic DDPM, which directly use the low-resolution image as the conditional input, the ensemble model generates the input condition through the combination of the user-defined CNN and the transformer module. The effectiveness and accuracy of the ensemble model are validated through numerical experiment. The reconstruction results obtained by classic DDPM are also investigated for comparison purpose. Results show that compared to the classic DDPM, the reconstruction results based on the ensemble model demonstrate better alignment with target values in terms of wind speed time histories, turbulent spectral characteristics, similarity metrics, and wind power density.

利用有限数据集进行风场超分辨率重建对于分析风力对风能设备的影响和优化风能利用至关重要。目前，大多数SR重建方法主要应用于包含完整湍流物理结构的风数据（如现场测量、CFD模拟），有利于重建的顺利执行。然而，在工程实践中，多变量随机过程通常被模拟为随机风场，缺乏基本的流体动力学规律，使得重建更具挑战性。为此，首先提出了集合条件去噪扩散概率模型（DDPM）。与经典DDPM直接使用低分辨率图像作为条件输入不同，集成模型通过用户自定义CNN和变压器模块的结合来生成输入条件。通过数值实验验证了该集成模型的有效性和准确性。并对经典DDPM的重建结果进行了比较。结果表明，与经典DDPM相比，基于集合模型的重建结果在风速时程、湍流谱特征、相似度指标和风力密度等方面与目标值更接近。

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