Full-scale measurements of wind effects on the Jin Mao building

The Jin Mao Building located in Pudong New Area, Shanghai, which has a height of 420.5 m and 88 floors, is currently the tallest building in Mainland China. This paper presents some selected results obtained from the full-scale measurements of wind effects on the Jin Mao Building during the passage of Typhoon Rananim in August, 2004. The field data including acceleration responses, wind speed and wind direction were simultaneously and continuously recorded during Typhoon Rananim. Detailed analysis of the field data was conducted to investigate wind effects on the super tall building. The characteristics of typhoon-generated wind and wind-induced responses of the 88-storey building are presented and discussed. Dynamic properties of the building are determined based on the field measurements, and comparison with those calculated from the finite element model of the building is made. The amplitude-dependent characteristics of damping that were obtained using the random decrement technique on the basis of the field measurements are investigated. Furthermore, wind tunnel experiment is conducted to study wind effects on the Jin Mao Building through force balance model test, and the full-scale measurements are compared with the wind tunnel test results for verification of wind tunnel test techniques. Finally, the serviceability of the super tall building under typhoon conditions is discussed.     

Probabilistic assessment of vibration exceedance for a full‐scale tall building under typhoon conditions

Full‐scale wind and vibration measurements were conducted on a 270‐m tall building in Hong Kong. For the modal identification, a refined fast Bayesian fast Fourier transform method was newly developed by considering the exponential form of the modal wind force spectrum. Then, the modal parameters of the monitored building and their uncertainties were identified from the full‐scale vibration data under typhoon conditions by the proposed refined fast Bayesian fast Fourier transform method. For assessing the vibration exceedance of the monitored building under typhoon, a stochastic wind force field generation technique was developed by combining the spectral representation method and the computational fluid dynamics method. Wind‐induced vibration of the tall building under Typhoon Kammuri was reanalyzed with generated wind force time history data. Finally, a time‐domain Monte Carlo simulation framework was proposed by integrating the modal identification and the stochastic wind force field generation technique. In this framework, the Metropolis–Hastings sampling algorithm was adopted to estimate the vibration exceedance probability, which was defined through a limit state performance function associated with the ISO vibration assessment criteria.     

Identification of Wind Loads and Estimation of Structural Responses of Super‐Tall Buildings by an Inverse Method

This article presents a Kalman‐filter‐based estimation algorithm for identification of wind loads on a super‐tall building using limited structural responses. In practice, acceleration responses are most convenient to be measured among wind‐induced dynamic responses of structures. The proposed inverse method allows estimating the unknown wind loads and structural responses of a super‐tall building using limited acceleration measurements. Taipei 101 Tower is a super‐tall building with 101 stories and a height of 508 m. Field measurements and numerical simulations of the wind effects on Taipei 101 Tower are conducted. The wind loads acting on the super‐tall building are estimated based on the wind‐induced responses determined from the numerical simulations and the refined finite‐element model of the structure, which are in good agreement with the exact results. The stability performance of the proposed algorithm is evaluated. The influence of noise levels in the measurements and covariance matrix of noise on the identification accuracy are investigated and discussed based on the L‐curve method. Finally, the wind loads and structural responses are reconstructed based on the field‐measured accelerations during Typhoon Matsa. The accuracy of the identified results is verified by comparing the reconstructed acceleration responses with the field measurements. The results of this study show that the proposed inverse approach can provide accurate predictions of the wind loads and wind‐induced responses of super‐tall buildings based on limited measured responses.     

Wind effects on Shenzhen Zhuoyue Century Center: Field measurement and wind tunnel test

Field measurements of wind effects on Zhuoyue Century Center were conducted during 4 typhoon events in the recent 5 years, during which the field data such as wind speeds, wind directions, and acceleration responses were simultaneously and continuously measured. On the basis of field measured data, dynamic characteristics of this super‐tall building were determined by recently developed fast Bayesian fast Fourier transform method. Using full‐scale measurement data under 4 typhoons and breezy conditions for modal identification, one could observe a relatively wide scatter in the identified modal damping ratios, and the damping ratios do not appear to have an obvious nonlinear relationship with vibration amplitude. The average damping ratios of the first 2 modes were 0.70% and 0.73%, respectively. Serviceability of the super‐tall building under wind action was analyzed on the basis of the field measured response. Finally, the measured wind‐induced acceleration responses were further compared with those obtained from the wind tunnel test to evaluate the accuracy of the model test results.     

On modelling of typhoon‐induced non‐stationary wind speed for tall buildings

Typhoon‐induced wind around tall buildings may not be stationary because it is a large body of rotating air. A new approach is thus proposed in this paper for characterizing typhoon‐induced wind speed. Typhoon‐induced non‐stationary wind speed is modelled as a deterministic time‐varying mean wind speed component plus a zero mean stationary fluctuating wind speed component. The time‐varying mean wind speed is naturally extracted from the measured wind speed time history using empirical mode decomposition (EMD). Wind characteristics described in the traditional approach based on a stationary wind model are redefined and extended in the non‐stationary wind model. The new approach is then applied to wind data measured at the Di Wang building during Typhoon York. The results show that most of recorded wind samples are non‐stationary but they can be decomposed into a time‐varying mean wind speed component plus a well‐behaved zero mean fluctuating wind speed component admitted as a stationary random process with Gaussian distribution. Other wind characteristics such as probability distribution of fluctuating wind speed, turbulence intensity, gust factor, and wind spectrum obtained by the new approach seem to be more realistic than those gained by the traditional approach. Copyright © 2004 John Wiley & Sons, Ltd.     

Field measurements of wind effects on the tallest building in Hong Kong

Central Plaza has a height of approximately 374 m and is 78‐storeys tall. It is the tallest structure in Hong Kong and was the highest reinforced‐concrete building in the world when it was built several years ago. This paper describes some results obtained from the full‐scale measurements of wind effects on Central Plaza. The field data such as wind speed, wind direction and acceleration responses have been measured during the close passage of several typhoons in recent years. Detailed analysis of the field data is conducted to investigate wind effects on the tall building. The full‐scale measurements are compared with the wind tunnel results. The amplitude‐dependent characteristics of damping that were obtained by using the random decrement technique are investigated on the basis of the field measurements. Copyright © 2003 John Wiley & Sons, Ltd.     

Field measurements of amplitude‐dependent damping in a 79‐storey tall building and its efects on the structural dynamic responses

This paper describes some results obtained from full‐scale measurements of wind effects on a super‐tall building, Di‐Wang Tower, located in Shenzhen, China. This tall building has 79‐storeys with a height of approximately 324 m. Field measurements including wind speed, wind direction and wind‐induced acceleration responses have been made. The amplitude‐dependent characteristics of damping are obtained by using the random decrement technique from the detailed analysis of the field acceleration measurements. The main objective of this paper is to present detailed investigations into the effects of nonlinear damping on the dynamic responses of the tall building subjected to various types of applied loads based on the measured amplitude‐dependent damping characteristics. The predicted dynamic responses of the building obtained by using the measured damping characteristics were compared with those computed by using constant damping parameters assumed by the structural designers. It is concluded from the investigations that knowledge of actual damping characteristics are very important in the accurate prediction of the dynamic responses of a tall building when the major harmonic components of the applied loads overlap with the lowest natural frequencies of the building. The design damping level for tall building structures currently used by structural engineering practitioners appears to be high and not conservative. Copyright © 2002 John Wiley & Sons, Ltd.     

Monitoring of structural modal parameters and dynamic responses of a 600m‐high skyscraper during a typhoon

This paper presents field measurement results of structural dynamic properties and wind‐induced responses of 600m‐high Ping‐An Finance Center in Shenzhen during the passage of Typhoon Haima. The field measurements included wind speed, wind direction, and structural acceleration responses during the typhoon. Analysis of the field measurements is carried out to investigate the wind‐induced structural vibrations and dynamic properties of the skyscraper under typhoon condition. In the analysis, natural frequencies and damping ratios of Ping‐An Finance Center are estimated using Peak‐Picking method, half‐power bandwidth method in frequency domain, and random decrement technique in time domain, respectively. Two band‐pass filtering methods, namely, elliptical filtering method and Kaiser‐window FIR filter, are adopted to deal with the measured acceleration signals. Consequently, the modal parameters identified with the Peak‐Picking, half‐power bandwidth, and random decrement technique methods are presented and discussed in detail. In addition, the probabilistic characteristics of the recorded acceleration responses are analyzed using the generalized extreme value distribution, and then the serviceability of the skyscraper during the typhoon is evaluated.     

Time-frequency analysis of typhoon effects on a 79-storey tall building

Di Wang Tower located in Shenzhen, PR China, has a height of approximately 325 m and is a 79-storey tall building. This paper presents selected results of full-scale measurements of typhoon effects on Di Wang Tower. Wind speed, wind direction, wind-induced acceleration and displacement responses were simultaneously and continuously measured from the super tall building with anemometers, accelerometers and global position system (GPS) during a typhoon. The advanced data analysis method called Hilbert-Huang transform (HHT) was adopted in this study to analyze the non-stationary characteristics of wind speed and wind-induced responses of this building under typhoon condition. By using the empirical mode decomposition (EMD) method, the measured data were decomposed into several inherent intrinsic mode functions (IMFs). The probability density and power spectral density of fluctuating wind speed were obtained by traditional methods and were further analyzed by considering time-varying mean values of the measured data via the EMD method. The wind-induced responses with non-stationary features were studied by applying the HHT to each IMF for obtaining their instantaneous frequency and Hilbert-Huang composite spectrum. Meanwhile, the transient energy distributions of the wind-induced responses were analyzed in time-frequency domain, which were compared with the traditional power spectral densities obtained from the fast Fourier transform (FFT) method and those from the wavelet transform. Furthermore, the amplitude-dependent damping ratios were determined by combining the EMD and the random decrement technique (RDT) method. Through comprehensive analysis of the measured data, it was testified that the HHT method is a promising tool for the time-frequency analysis of random signal and can serve as a flexible and effective tool for analyzing field data of wind speed and wind-induced response with non-stationary features.     

Performance Evaluation of TMD under Typhoon Using System Identification and Inverse Wind Load Estimation

Abstract: The typhoon behavior and performance of a tuned mass damper (TMD) are presented based on the system identification and the inverse modal wind load estimation. The TMD was installed on a 39‐story, 184.6‐m steel building located in Incheon, Korea with a monitoring system consisting of an anemometer, accelerometers, and internet‐based data logging system. On September 2, 2010, the building experienced the Kompasu Typhoon, in which the peak wind speed, measured by an anemometer installed on the roof floor, was 49.7 m/s. To analyze the behavior of the building during the typhoon, the dynamic properties of building and TMD are identified from the measured responses. The modal wind load is then inversely estimated from the TMD and building accelerations using a Kalman filter, and the vibration reduction performance of the TMD is evaluated. The analysis results show that the typhoon‐induced vibration was reduced significantly due to the installation of TMD.     

The effect of amplitude-dependent damping on wind-induced vibrations of a super tall building

Full-scale measurements of wind effects on a 70 storey tall building have been conducted. The tall building that has a height of 367 m is the second tallest structure in Hong Kong. The amplitude-dependent characteristics of damping have been obtained by using the random decrement technique from the field measurements of acceleration responses. The objective of this study is to present detailed investigations into the effects of amplitude-dependent damping on the wind-induced responses of the super tall building based on the measured non-linear damping and wind action characteristics. An efficient and less time consuming digital simulation technique is developed to generate time series of turbulent wind loads acting on the tall building based on the measured wind speed records. The predicted dynamic responses of the building using the actual amplitude-dependent damping characteristics are compared with those computed by using constant damping parameters assumed by the structural designers or estimated from the field measurements in order to evaluate the adequacy of current design practices and to apply that knowledge to structural design of tall buildings. It is observed from this study that the effect of amplitude-dependent damping on the dynamic responses of such a super tall building is significant and knowledge of actual damping characteristics is very important in the accurate prediction of wind-induced vibrations of a tall building.     

Dynamic performance evaluation of Shanghai Tower under winds based on full‐scale data

Shanghai Tower is the tallest building in China with a height of 632 m. This study aims to investigate the wind characteristics and its impact on Shanghai Tower so as to provide useful information for the wind‐resistant design of 600 m+ super‐tall buildings. By analyzing the data of wind speed during the occurrence of DeHong in June 2017, the relationship between turbulence intensity and mean wind speed is verified, and the correlation between gust factor and turbulence intensity is confirmed. Apart from that, it is also found that the von Karman spectrum fits well with the measured fluctuating wind speed spectrum. In addition, the 83rd and 117th acceleration data are analyzed to obtain the natural frequency by peak‐picking, frequency domain decomposition, stochastic subspace identification, and fast Bayesian fast Fourier transform methods. The amplitude‐dependence dynamic parameters of Shanghai Tower on the basis of the field measurements are studied as well. Finally, the wind‐induced vibration is investigated based on the acceleration data and wind speed data, which verifies that the responses along two main axes having a similar amplitude under wind effects. The occurrence of DeHong demonstrates that a gale equivalent to a typhoon may occur in urban areas without any urban warning.     

基于天气预报模式和大涡模拟的台风风场多尺度耦合数值模拟

结合2015年第1509号超强台风“灿鸿”期间在杭州九堡大桥的现场实测数据,基于WRF(weather research and forecasting)和LES(大涡模拟)的台风多尺度耦合数值模拟方法,重现了台风“灿鸿”的中小尺度发展演化过程,并对九堡大桥周边台风风场进行多尺度精细化模拟;以多项式插值的方式解决疏网格向密网格的背景风场要素降尺度耦合问题;最后通过大涡模拟获得了九堡大桥周边地区30min瞬态台风风场数据。模拟得到的瞬态风速结果与实测数据在统计意义上较为吻合,表明WRF-LES耦合系统能实现从气象中尺度到建筑小尺度的多尺度数值模拟,有效地获取一次台风过程中目标区域的瞬态台风风场。NSRFG(narrowband synthesis random flow generator)方法生成的入口脉动风速适用于局部台风风场的LES计算,模拟所得风速功率谱与实测结果在低频段基本一致。     

Wind effects on a long-span beam string roof structure: Wind tunnel test, field measurement and numerical analysis

The Guangzhou International Convention & Exhibition Center (GICEC) with roof dimensions of 210 m wide and 457 m long is the largest exhibition center in Asia and the 2nd largest of this kind in the world. This paper presents results from a combined study of wind tunnel test, full-scale measurement, and numerical analysis of wind effects on the long-span beam string roof structure. In the wind tunnel test, wind-induced pressures including mean and fluctuating components were measured from the roof of a 1:300 scale GICEC model under suburban boundary layer wind flow configuration. The Proper Orthogonal Decomposition (POD) method and the quasi-steady approach as well as probability analysis were adopted to estimate the characteristics of the fluctuating wind pressures on the roof. On the other hand, full-scale measurements of wind actions and wind-induced structural responses of the roof were conducted during the passage of Typhoon Nuri. The field data such as wind speed, wind direction, and acceleration responses, etc., were continuously and simultaneously monitored from a wind and structural response monitoring system installed on the roof structure during the typhoon. Detailed analysis of the field data was performed to investigate the characteristics of the typhoon-generated wind and the wind-induced vibration of the long-span roof structure under typhoon condition. The dynamic characteristics of the roof were determined from the field measurements and comparisons with those calculated from the finite element model (FEM) of the structure were made. The damping ratios of the roof structure were estimated by means of the random decrement method and the amplitude-dependent damping characteristics were presented and discussed. Finally, the full-scale measurements were compared with the model test results to examine the accuracy of the wind tunnel test results and to identify possible modelling errors in the numerical study. The results presented in this paper are expected to be of considerable interest and of use to researchers and professionals involved in designing long-span roof structures.     

Integrated wind‐induced response analysis and design optimization of tall steel buildings using Micro‐GA

This paper presents an integrated procedure for wind‐induced response analysis and design optimization for rectangular steel tall buildings based on the random vibration theory and automatic least cost design optimization technique using Micro‐Genetic Algorithm (GA). The developed approach can predict wind‐induced drift and acceleration responses for serviceability design of a tall building; the technique can also provide an optimal resizing design of the building under wind loads to achieve cost‐efficient design. The empirical formulas of wind force spectra obtained from simultaneous measurements of surface pressures on various rectangular tall building models in wind tunnel tests are verified testified using a published example. Upon the known wind force spectra, the equivalent static wind loads for every storey, such as along‐wind, across‐wind and torsional loads, are then determined and applied for structural analysis including estimation of wind‐induced responses. An improved form of GAs, a Micro‐GA, is adopted to minimize the structural cost/weight of steel buildings subject to top acceleration and lateral drifts constraints with respect to the discrete design variables of steel section sizes. The application and effectiveness of the developed integrated wind‐induced response analysis and design optimization procedure is illustrated through a 30‐storey rectangular steel building example. Copyright © 2009 John Wiley & Sons, Ltd.     

Mode shape linearization and correction in coupled dynamic analysis of wind‐excited tall buildings

The three‐dimensional mode shapes found in modern tall buildings complicate the use of the high‐frequency base balance (HFBB) technique in wind tunnel testing for predicting their wind‐induced loads and effects. The linearized‐mode‐shape (LMS) method was recently proposed to address some of the complications in the calculation of the generalized wind forces, which serve as the input to modal analysis for predicting wind‐induced dynamic responses of tall buildings. An improved LMS method, called the advanced linearized‐mode‐shape (ALMS) method, is developed in this paper by introducing torsional mode shape corrections to account for the partial correlation of torques over building height. The ALMS method has been incorporated into the accurate complete quadratic combination method in the coupled dynamic analysis to form a comprehensive procedure for the determination of equivalent static wind loads (ESWLs) for structural design of complex tall buildings. The improved accuracy in the prediction of generalized forces by the ALMS method has been validated by a 60‐storey benchmark building with multiple‐point simultaneous pressure measurements. A practical 40‐storey residential building with significant swaying and torsional effects is presented to demonstrate the effectiveness of the proposed wind load and response analysis procedure based on the HFBB data. Copyright © 2010 John Wiley & Sons, Ltd.     

台风 “鲇鱼”作用下厦门沿海某超高层建筑的风场和风压特性实测研究

为研究我国沿海地区超高层建筑的风场和风压特性,在2010年台风“鲇鱼”登陆前后对厦门沿海某超高层建筑的风场和建筑表面风压进行了同步监测。通过对实测风场和风压数据的深入分析表明：沿海地区超高层建筑风场的湍流度随风速增大变化平稳,阵风因子随湍流度的增大而增大;实测脉动风速功率谱密度与von Karman谱吻合较好;建筑各面内测点之间的瞬时风压、平均风压、平均风压系数和极值风压系数具有较强的相关性;实测平均风压和平均风压系数在迎风面较大,在背风面非常小;当风从角部吹向建筑时,随着风向角的变化,两迎风面的平均风压系数随着平均风速的增大变化规律相反;两背风面的平均风压系数随着平均风速的增大逐渐减小;迎风面的极值风压系数随着风向角的变化正负波动较大,背风面的极值风压系数分布较为均匀;迎风面的脉动风压系数较大且变化较大,背风面的脉动风压系数非常小且变化平稳;建筑各面的极值风压系数和脉动风压系数的幅值随着风速的增大逐渐减小。     

Dynamic wind response of tall buildings using artificial neural network

This paper presents an alternative approach for predicting the dynamic wind response of tall buildings using artificial neural network (ANN). The ANN model was developed, trained, and validated based on the data generated in the context of Indian Wind Code (IWC), IS 875 (Part 3):2015. According to the IWC, dynamic wind responses can be calculated for a specific configuration of buildings. The dynamic wind loads and their corresponding responses of structures other than the specified configurations in IWC have to be estimated by wind tunnel tests or computational techniques, which are expensive and time intensive. Alternatively, ANN is an efficient and economical computational analysis tool that can be implemented to estimate the dynamic wind response of a building. In this paper, ANN models were developed to predict base shear and base bending moment of a tall building in along‐ and across‐wind direction by giving the input as the configuration of the building, wind velocity, and terrain category. Multilayer perceptron ANN models with back‐propagation training algorithm was adopted. On comparison of results, it was found that the predicted values obtained from the ANN models and the calculated responses acquired using IWC standards are almost similar. Using the best fit model of ANN, an extensive parametric study was performed to predict the dynamic wind response of tall buildings for the configurations on which IWC is silent. Based on the results obtained from this study, design charts are developed for the prediction of dynamic wind response of tall buildings.     

Modal identification of Di Wang Building under Typhoon York using the Hilbert–Huang transform method

The Di Wang Building is one of the tallest composite buildings in the world, located in downtown Shenzhen City of China about 2 km from the Hong Kong border. On 16 September 1999, Typhoon York – that is the strongest typhoon since 1983 and the typhoon of longest duration on record – attacked Hong Kong and Shenzhen. The wind and structural monitoring system installed in the Di Wang Building timely recorded wind and structural response data. The newly emerged Hilbert–Huang transform (HHT) method in conjunction with the random decrement technique (RDT) is applied to the measured data in this paper to identify dynamic characteristics of the building. A series of natural frequencies and modal damping ratios of the building under different wind speeds in different directions are identified and compared with those from the fast Fourier transform (FFT)‐based method. The variations of natural frequency, total modal damping ratio and net structural modal damping ratio with wind speed and vibration amplitude are also investigated. The results show that the natural frequencies identified by the HHT method are almost the same as those obtained by the FFT‐based method. The first two modal damping ratios given by the HHT method are, however, lower than those by the FFT‐based method, which may indicate that the FFT‐based method overestimates the modal damping ratios. Both the total and the net structural modal damping ratios increase with increasing wind speed and vibration amplitude but the situation is reversed for the natural frequency. Copyright © 2003 John Wiley & Sons, Ltd.     

Study on wind characteristics of a strong typhoon in near‐ground boundary layer

In order to solve the problems existing in predicting typhoon design wind speeds used for tall and special buildings, a 40‐m‐high meteorological tower, which is located near the coast of the East China Sea in Shanghai, was built to observe the strong winds. Based on the measurement data during Typhoon Muifa (2011), the characteristics of strong wind such as wind speeds and directions, turbulence integral scales, probability densities, power spectra, spatial correlation coefficients, and coherence coefficients were analyzed. The results revealed that the turbulence integral scales increased with height and averaging time interval. All three fluctuating wind components follow the Gaussian distribution, regardless of the measurement height and the time interval of the segment. The power spectra of longitudinal fluctuating wind velocity agreed with the von Karman spectrum. However, the power spectra of lateral and vertical fluctuating wind velocity are deviated from the von Karman model in high‐frequency region. The decay rate of the autocorrelation coefficients of the longitudinal and lateral fluctuating wind velocity decreased with height. The variations of cross‐correlation coefficients among three fluctuating wind display no clear regulation. The spatial cohesion coefficients follow the predictions made according to Davenport's empirical formula.