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

Turbulent anisotropy and energy distribution over submerged cubical model

IF 4.2 2区工程技术

Journal of Wind Engineering and Industrial Aerodynamics Pub Date : 2025-02-01 DOI: 10.1016/j.jweia.2025.106011

Pankaj Kumar Raushan , Santosh Kumar Singh , Prince Raj Lawrence Raj , Joydeep Bhowmik , Koustuv Debnath , Pankaj Kumar

引用次数: 0

Validation of a multivariate non-Gaussian and non-stationary stochastic wind pressure model driven by stationary wind tunnel data

IF 4.2 2区工程技术

Journal of Wind Engineering and Industrial Aerodynamics Pub Date : 2025-02-01 DOI: 10.1016/j.jweia.2024.105970

Srinivasan Arunachalam , Seymour M.J. Spence , Thays G.A. Duarte , Arthriya Subgranon

{"title":"Validation of a multivariate non-Gaussian and non-stationary stochastic wind pressure model driven by stationary wind tunnel data","authors":"Srinivasan Arunachalam , Seymour M.J. Spence , Thays G.A. Duarte , Arthriya Subgranon","doi":"10.1016/j.jweia.2024.105970","DOIUrl":"10.1016/j.jweia.2024.105970","url":null,"abstract":"<div><div>With growing interest in probabilistic assessments of structures subject to extreme winds, there is a need for stochastic simulation schemes that can capture the inherently non-Gaussian and non-stationary (NG–NS) features of wind loads during the simulation of path-dependent phenomena such as inelasticity, fatigue, and cladding damage. Currently, no validated NG–NS stochastic load model exists that can be calibrated to standard wind tunnel data. A recently developed model proposed the stochastic simulation of direction-wise pressures based on standard wind tunnel data, followed by a filter-based transition scheme for generating NG–NS wind load records. Recognizing the importance of validation in creating confidence in a model, this work focuses on extensive experimental validation of the NG–NS stochastic load model. Validation is achieved using data from specifically designed wind tunnel tests, whereby NG–NS records are obtained through continuous rotation of the turntable. Six different rates of change in wind direction, consistent with those expected in hurricanes, are considered with validation based on quantitative time–frequency error analysis using spectrograms, as well as the examination of temporal trends in statistical properties. The results show that the scheme correlates well with the experimental data, with spectrogram-based errors remaining within 10% across all pressure taps and test conditions.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"257 ","pages":"Article 105970"},"PeriodicalIF":4.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103323","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

Evaluating the intrinsic predictability of wind speed time series via entropy-based approaches

IF 4.2 2区工程技术

Journal of Wind Engineering and Industrial Aerodynamics Pub Date : 2025-02-01 DOI: 10.1016/j.jweia.2024.105972

Z.R. Shu , H.C. Deng , P.W. Chan , X.H. He

{"title":"Evaluating the intrinsic predictability of wind speed time series via entropy-based approaches","authors":"Z.R. Shu , H.C. Deng , P.W. Chan , X.H. He","doi":"10.1016/j.jweia.2024.105972","DOIUrl":"10.1016/j.jweia.2024.105972","url":null,"abstract":"<div><div>The intrinsic predictability of wind speed time series is pivotal for various wind engineering applications, such as optimizing wind energy resource assessments and enhancing the accuracy of forecasting models. This study employs entropy-based approaches, specifically Permutation Entropy (PermEn) and Sample Entropy (SampEn), to evaluate wind speed predictability across diverse conditions. We systematically investigate the variation of these entropy measures in relation to terrain complexity, mean wind speed, seasonal variation, sampling frequency, and window length. Our analysis reveals that terrain complexity significantly influences entropy values. We observed that a positive correlation between mean wind speed and entropy, where higher wind speeds are associated with increased predictability. Seasonal variations also demonstrate a clear impact on entropy measures. Such dependence, however, varies between different stations. Furthermore, the study highlights the sensitivity of entropy measures to sampling frequency and window length, indicating that higher sampling frequencies and longer window lengths result in larger values of PermEn, and lower values of SampEn.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"257 ","pages":"Article 105972"},"PeriodicalIF":4.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103326","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

3D ultrasonic anemometer array reveals jet flow structures at the entrance of high-speed railway tunnel

IF 4.2 2区工程技术

Journal of Wind Engineering and Industrial Aerodynamics Pub Date : 2025-02-01 DOI: 10.1016/j.jweia.2024.106004

E Deng , Xin-Yuan Liu , De-Hui Ouyang , Huan Yue , Yi-Qing Ni

{"title":"3D ultrasonic anemometer array reveals jet flow structures at the entrance of high-speed railway tunnel","authors":"E Deng , Xin-Yuan Liu , De-Hui Ouyang , Huan Yue , Yi-Qing Ni","doi":"10.1016/j.jweia.2024.106004","DOIUrl":"10.1016/j.jweia.2024.106004","url":null,"abstract":"<div><div>High-speed trains (HSTs), traveling at speeds of up to 300 km/h, are subjected to safety risks in crosswind conditions, particularly when they enter or exit tunnels due to transient aerodynamic effects. The study employs a three-dimensional (3D) ultrasonic anemometer array positioned at the tunnel entrance to investigate the jet flow structure and its 3D characteristics that are induced by HSTs as they enter tunnels. The main results are as follows: The jet flow speed reaches approximately 3%–7% of the train's operational speed, with a maximum length of around 0.48 <em>L</em>. When the train speed is increased from 300 km/h to 400 km/h, the effect of its slipstream on the surrounding wind speed increases by 33% upon entering the tunnel, while in the jet flow section, the wind speeds from both sources are comparable. Through field measurement and numerical simulation, this study provides better understanding of the characteristics of the 3D jet flow structure generated from HSTs entering tunnels, thus offering more insight in developing means for reducing jet flows.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"257 ","pages":"Article 106004"},"PeriodicalIF":4.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143102857","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

Artificial neural networks for predicting mean wind profiles over heterogeneous terrains

IF 4.2 2区工程技术

Journal of Wind Engineering and Industrial Aerodynamics Pub Date : 2025-02-01 DOI: 10.1016/j.jweia.2024.105969

Zihan Mahmood Nahian, Lee-Sak An, Pedro L. Fernández-Cabán, Sungmoon Jung

{"title":"Artificial neural networks for predicting mean wind profiles over heterogeneous terrains","authors":"Zihan Mahmood Nahian, Lee-Sak An, Pedro L. Fernández-Cabán, Sungmoon Jung","doi":"10.1016/j.jweia.2024.105969","DOIUrl":"10.1016/j.jweia.2024.105969","url":null,"abstract":"<div><div>This paper presents the application of artificial neural networks (ANNs) for predicting mean wind profile characteristics over heterogeneous terrains. The ANN models integrate salient terrain features to predict the vertical wind profile structure of neutrally stable atmospheric boundary layer (ABL) flows. The research leveraged wind profile data collected in a large boundary layer wind tunnel equipped with a mechanized roughness element grid, which enabled the simulation of a wide range of heterogeneous terrain conditions. Three ANN architectures are examined to determine the most critical terrain features that influence wind profile prediction. Specifically, several input parameters are investigated to capture proximate and distal roughness changes upstream to the measurement location. The results demonstrate the efficacy of the proposed ANN-based approach in accurately predicting mean wind profiles over heterogeneous terrains. While the ANN models exhibit a higher degree of accuracy and reliability, they require large volumes of data that may not be easily accessible. However, the research findings will help advance predictive modeling in wind engineering and deepen our understanding of boundary layer physics by identifying key parameters and developing strategies to accurately capture wind profiles over complex heterogeneous terrains.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"257 ","pages":"Article 105969"},"PeriodicalIF":4.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162969","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

Numerical study of turbulent flows over complex terrain using an unsteady Reynolds-averaged Navier-Stokes model with a new method for turbulent inflow generation

IF 4.2 2区工程技术

Journal of Wind Engineering and Industrial Aerodynamics Pub Date : 2025-02-01 DOI: 10.1016/j.jweia.2024.105991

Xiangyan Chen, Takeshi Ishihara

{"title":"Numerical study of turbulent flows over complex terrain using an unsteady Reynolds-averaged Navier-Stokes model with a new method for turbulent inflow generation","authors":"Xiangyan Chen, Takeshi Ishihara","doi":"10.1016/j.jweia.2024.105991","DOIUrl":"10.1016/j.jweia.2024.105991","url":null,"abstract":"<div><div>In this study, an unsteady Reynolds-Averaged Navier-Stokes (URANS) model with a prespecified averaging time and a new method for turbulent inflow generation is proposed to predict turbulent flows over complex terrain. Firstly, the effect of grid resolution on turbulent flows over complex terrain is investigated by the Reynolds-Averaged Navier-Stokes (RANS) and the URANS models. URANS improves the accuracy of the predicted mean velocity and standard deviation by using finer grids, but the improvement by RANS is limited. Furthermore, the turbulent flows over hills with different slopes predicted by URANS are examined with respect to various averaging times. An optimal averaging time based on the slope of the hills is recommended considering the prediction accuracy and computational efficiency of URANS. Finally, turbulent flows over complex terrain in coastal areas are investigated by URANS and validated by wind tunnel tests. The predicted mean and standard deviation of streamwise velocity over complex terrain by URANS are in good agreement with the experimental data, while those by RANS are overestimated or underestimated.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"257 ","pages":"Article 105991"},"PeriodicalIF":4.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A multi-sensor interval fusion adaptive regularization data assimilation model for wind direction prediction

IF 4.2 2区工程技术

Journal of Wind Engineering and Industrial Aerodynamics Pub Date : 2025-02-01 DOI: 10.1016/j.jweia.2024.105996

Yuang Wu , Shuo Liu , Jiachen Huang

{"title":"A multi-sensor interval fusion adaptive regularization data assimilation model for wind direction prediction","authors":"Yuang Wu , Shuo Liu , Jiachen Huang","doi":"10.1016/j.jweia.2024.105996","DOIUrl":"10.1016/j.jweia.2024.105996","url":null,"abstract":"<div><div>Real-time forecasting of wind fields is an essential prerequisite for computational fluid predictions of pollutant transport. In the domain of data assimilation for real-time weather forecasting, obtaining high-quality meteorological data measurements poses a challenge that significantly impacts prediction accuracy. Predicting wind direction through data assimilation presents an inverse problem, and low-quality wind direction data resulting from suboptimal sensor placement can lead to ill-posedness when constructing proxy models. Consequently, previous research has extensively investigated the optimal placement of meteorological sensors. However, the data assimilation experiment has thus introduced uncertainties associated with the positions of the sensors. To achieve this goal, this study proposes a adaptive data assimilation model. This model introduces the concept of local convergence intervals on reduced-order response model, and deconstructs ill-posed intervals into well-posed intervals, and obtains a unique solution interval by regularization through the convergence range distance fusing. Finally, the model selects sensors using adaptive local weights, and implements the data assimilation process using inverse Ensemble Kalman Filter. This paper employs data from the Huailai Test Station to design simulated wind direction experiments.The results indicate that the method is capable of overcoming the shortcomings of sensor placement and can enhance the accuracy of prediction.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"257 ","pages":"Article 105996"},"PeriodicalIF":4.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the uncertainty of aerodynamic derivatives obtained using forced vibration tests in active grid generated turbulent flow

IF 4.2 2区工程技术

Journal of Wind Engineering and Industrial Aerodynamics Pub Date : 2025-02-01 DOI: 10.1016/j.jweia.2025.106005

Oddbjørn Kildal, Øyvind Wiig Petersen, Ole Øiseth

{"title":"On the uncertainty of aerodynamic derivatives obtained using forced vibration tests in active grid generated turbulent flow","authors":"Oddbjørn Kildal, Øyvind Wiig Petersen, Ole Øiseth","doi":"10.1016/j.jweia.2025.106005","DOIUrl":"10.1016/j.jweia.2025.106005","url":null,"abstract":"<div><div>The present study investigates the effect of turbulence on aerodynamic derivatives (ADs) and the uncertainty of AD estimates due to buffeting forces. Wind tunnel experiments were conducted, using forced vibration testing to analyze changes in estimated ADs with increasing turbulence intensity. The experimental results revealed a significant scatter in the AD estimates, indicating the stochastic influence of buffeting forces on the estimation of ADs. Monte Carlo (MC) simulations were performed to further investigate this phenomenon. The MC simulations demonstrated that larger buffeting forces lead to larger uncertainty in estimated ADs, and highlighted the challenge of accurate estimation in the presence of turbulent flow. Despite challenges with the system identification, the study indicated that changes in aerodynamic damping due to turbulence are likely. In addition, closed-form analytical expressions for uncertainty estimation in ADs due to noise yielded uncertainty estimates that corresponded well with the experiments and the MC simulations. It was shown that the uncertainty of estimated ADs in turbulent flow can be decreased by increasing measurement duration and increasing the forced motion amplitude.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"257 ","pages":"Article 106005"},"PeriodicalIF":4.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Field measurement-based research on wind pressure interference effects of tracking photovoltaic arrays

IF 4.2 2区工程技术

Journal of Wind Engineering and Industrial Aerodynamics Pub Date : 2025-02-01 DOI: 10.1016/j.jweia.2024.105971

Terigen Bao , Zhengnong Li , Ou Pu , Ying Yang , Bin Huang , Honghua Wu

{"title":"Field measurement-based research on wind pressure interference effects of tracking photovoltaic arrays","authors":"Terigen Bao , Zhengnong Li , Ou Pu , Ying Yang , Bin Huang , Honghua Wu","doi":"10.1016/j.jweia.2024.105971","DOIUrl":"10.1016/j.jweia.2024.105971","url":null,"abstract":"<div><div>This paper investigates the wind interference effect on the rear row of photovoltaic modules as wind passes through the front row in a multi-row tracking photovoltaic array. Through field wind pressure measurements, we comprehensively evaluated the wind pressure interference effect under various tilt angle and wind direction angles, including variations in the wind pressure coefficient, wind force coefficient, central axis torque coefficient, column base moment coefficient, and fluctuating wind pressure power spectrum. The results indicate that when the wind direction angle is perpendicular to the panel width (L), the interference effect on the rear row is more significant, observed as a shading effect on the rear wind pressure coefficient, wind force coefficient, central axis torque coefficient, and column base moment coefficient. The interference effect gradually weakens as the wind direction angle increases/decreases; in the small tilt angle range (0° < <em>β</em> < 15°), the interference effect on the rear row is minimal. Additionally, under high tilt angle conditions, the third row experienced relatively higher wind forces compared to the second row. The interference effect of the fluctuating wind pressure power spectrum primarily manifests in the variation of vortex shedding frequency, significantly affecting the frequency peak of the rear components in the high-frequency band. The sensitivity of vortex shedding to wind direction and tilt angle adds complexity to the wind-resistant design of tracked PV arrays. This study offers valuable insights for designing tracking photovoltaic arrays to withstand wind forces.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"257 ","pages":"Article 105971"},"PeriodicalIF":4.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099120","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

Approximating wind speed probability distributions around a building by mixture weibull distribution with the methods of moments and L-moments

IF 4.2 2区工程技术

Journal of Wind Engineering and Industrial Aerodynamics Pub Date : 2025-02-01 DOI: 10.1016/j.jweia.2024.106001

Wei Wang , Yishuai Gao , Naoki Ikegaya

{"title":"Approximating wind speed probability distributions around a building by mixture weibull distribution with the methods of moments and L-moments","authors":"Wei Wang , Yishuai Gao , Naoki Ikegaya","doi":"10.1016/j.jweia.2024.106001","DOIUrl":"10.1016/j.jweia.2024.106001","url":null,"abstract":"<div><div>Wind speed probability distribution functions (PDFs) are crucial for evaluating urban wind environments. While previous studies have used unimodal distribution functions to model PDFs, bimodal patterns are also observed in urban areas. To more accurately model unimodal and bimodal PDFs, this study assessed the applicability of the mixture Weibull distribution (2W2W). The performance of the two-parameter Weibull distribution (2W) was also analyzed for comparison. Three parameter estimation methods (method of moments (MM), method of L-moments (LM), and maximum likelihood method (ML)) were applied to wind speed data of an isolated building case from a LES database. It was found that L-moments show non-linear relationships with moments, but with smaller magnitudes. 2W2W outperforms 2W in estimating both moments and L-moments, especially for higher-order statistics. 2W2W has the potential to better capture both unimodal and bimodal distributions compared to 2W. While 2W2W generally outperforms 2W under MM, noticeable oscillations were observed at some points. Although ML is the most accurate method at most points, LM still outperforms ML at specific locations based on both 2W and 2W2W. This study is expected to offer valuable insights into modeling PDFs for urban wind environments.</div></div>","PeriodicalId":54752,"journal":{"name":"Journal of Wind Engineering and Industrial Aerodynamics","volume":"257 ","pages":"Article 106001"},"PeriodicalIF":4.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099127","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