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

Wu, Jie; Xu, Hongjun; Zhang, Qilin

doi:10.1002/tal.1611

Cited by 25 publications

(11 citation statements)

References 52 publications

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“… Note . (1) For Building E, the damping results are regarded as reliable data, since there is no mode coupling between the fundamental sway modes in the measured responses by checking the spectra; (2) For Building F, the damping results are regarded as reliable data since

\overset{f}{true} = 0.995 > 0.97

; (3) For Building G, the damping results are regarded as reliable data, since there is no mode coupling between the fudamental sway modes in the measured responses by checking the spectra; (4) For Building H, the damping results are regarded as reliable data since

\overset{f}{true} = 0.978 > 0.97

; (5) For Building I, the damping results are regarded as reliable data since

\overset{f}{true} = 0.972 > 0.97 .

…”

Section: Damping Model For High‐rise Buildingsmentioning

confidence: 99%

See 1 more Smart Citation

Damping estimation of high‐rise buildings considering structural modal directions

Zhou

Xiao

2020

Earthq Engng Struct Dyn

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One widespread problem in damping estimation of high-rise buildings is the neglect of structural modal directions, which may induce beating in measured dynamic responses along building geometric axes and thereby induce errors in damping estimations to some extent. Based on a proposed two degrees of freedom (2-DOF) simulation model, the effects of neglecting the modal directions on damping estimate are systematically investigated. The results show that the angular differences between the modal directions and the building geometric axes, as well as the frequency difference between the involved modes, both have significant effects on the damping estimate of high-rise buildings. This paper proposes a spectral method to determine the modal directions of highrise buildings and further validate this method by an analysis of full-scale measurements from four skyscrapers. The damping ratios estimated based on the responses along the identified modal directions are more accurate than those based on those measured along the building geometric axes. Furthermore, an empirical prediction model for damping ratio of high-rise buildings with heights over 200 m is proposed based on the field measured damping results of several buildings with consideration of the modal directions. The objective of this study is to improve the accuracy of damping estimation of high-rise buildings and therefore provide useful information for the structural design of future skyscrapers. K E Y W O R D Sdamping estimate, damping model, field measurement, high-rise building, modal direction

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\overset{f}{true} = 0.995 > 0.97

\overset{f}{true} = 0.978 > 0.97

; (5) For Building I, the damping results are regarded as reliable data since

\overset{f}{true} = 0.972 > 0.97 .

…”

Section: Damping Model For High‐rise Buildingsmentioning

confidence: 99%

“…The accelerations of Buildings A to D in Section 3 were measured by the corresponding author's research group, which are not publicly available, while the information of structural dynamic properties (ie, natural frequency and damping ratio) of Buildings E to I in Section 5 are available in references …”

Section: Conclusion Remarksmentioning

confidence: 99%

Damping estimation of high‐rise buildings considering structural modal directions

Zhou

Xiao

2020

Earthq Engng Struct Dyn

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“…The damper can significantly reduce the wind‐excited vibration amplitude of the structure and improve the structural serviceability. In order to provide the construction guidance as well as structural evaluation criterion, a complete SHM system 23,26,27 was deployed by the cooperation of Tongji University, The Hong Kong Polytechnic University, and Tongji Architectural Design (Group) Co. Ltd. The SHM system consists of the following four parts: a sensor system, a data acquisition and transmission system, a data storage system, and a structural health assessment system.…”

Section: Shanghai Tower and Filed Measurement Profilementioning

confidence: 99%

“…Although the dynamic performance of high‐rise buildings under wind has been widely investigated by the full‐scale measurements, there still have been very limited studies on the comprehensive field investigation of wind effects on 600 m+ super tall buildings 23 . A unique prototype system for structural health monitoring (SHM), SmartSync, has been employed in the world tallest building Burj Khalifa 24 .…”

Section: Introductionmentioning

confidence: 99%

Monitoring dynamic characteristics of 600 m+ Shanghai Tower during two consecutive typhoons

Dong

et al. 2020

Struct Control Health Monit

Self Cite

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“…Wang et al 14 presented a monitoring‐based approach to estimate the vehicle dynamic responses with the hybrid combination of in situ SHM data. Wu et al 15 analyzed the data of wind speed collected by SHM, the relationship between turbulence intensity and mean wind speed is verified, and the correlation between gust factor and turbulence intensity is confirmed. Zhou and Sun 16 studied the effects of high winds on vibrational responses and model parameters of a unique sea‐crossing cable‐stayed bridge based on the long‐term SHM data.…”

Section: Introductionmentioning

confidence: 96%

Probabilistic forecast of wind speed based on Bayesian emulator using monitoring data

Ding

Wan

2020

Struct Control Health Monit

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Wind speed forecasting can serve a wide spectrum of purposes, including scheduling of a power system and dynamic control of structures. A lot of models are widely used to forecast wind speed, consisting of deterministic models (e.g., physical models, statistical models, and artificial intelligence models) and probabilistic models (e.g., Bayesian model). The wind speed has the characteristics of random, nonlinear, and uncertainty, which highlights the importance of using Bayesian model to predict the wind speed. In this study, a Bayesian emulator with Gaussian process prior is adopted for probabilistic forecast of wind speed. The present Bayesian emulator approach not only maintains the data-driven property which guarantees its high flexibility in modeling the complexity of the target system but also allows for the efficient, probabilistic evaluation of the wind speed in terms of the predictive mean and variance. Nevertheless, the modeling performance of the Bayesian emulator directly depends on the selected covariance function. The influence of different types of covariance functions, which include squared-exponential (SE) covariance function, Matern (MA) covariance function, periodic (PE) covariance function, and composite covariance function, on forecasting performance of the wind speed is studied. One-month wind monitoring data collected by structural health monitoring (SHM) system installed on Jiubao bridge are employed to demonstrate the effectiveness of Bayesian emulator for forecasting the wind speed.

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

Cited by 25 publications

References 52 publications

Damping estimation of high‐rise buildings considering structural modal directions

Damping estimation of high‐rise buildings considering structural modal directions

Monitoring dynamic characteristics of 600 m+ Shanghai Tower during two consecutive typhoons

Probabilistic forecast of wind speed based on Bayesian emulator using monitoring data

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