Acrosswind Response of Buildings

Kareem, A.

doi:10.1061/jsdeag.0005930

Cited by 55 publications

(14 citation statements)

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“…(e.g., Y. Li & Kareem, 1993;Kareem, 1982Kareem, , 1984Shinozuka & Deodatis, 1991). Such a load generation implies that the load can be reproduced from white noise by an appropriate filter, which is a form of the load model.…”

Section: Load Modelmentioning

confidence: 99%

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Frequency domain identification of modal characteristics and loads from output‐only measurements

Hwang

Kwon

Kareem

2023

Computer aided Civil Eng

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This paper proposes a frequency domain framework for concurrently estimating the modal structural parameters and modal loads from the measured output response. A mathematical load model is theoretically developed and compared to the load determined by force identification. Unlike conventional modal identification schemes, the proposed approach can effectively accommodate the spectral shape of the external load in the frequency domain, enabling the determination of the modal parameters without explicit white noise assumption. The proposed approach is verified by applying it to a single‐degree‐of‐freedom system system representing a modal response, an aeroelastic model in an atmospheric boundary layer wind tunnel, a multi‐degree‐of‐freedom system, and the measured acceleration response of a 40‐story building. The simulation results demonstrate that the proposed technique can reliably estimate the modal parameters and load model and is robust against the noise present in the response and the order of the load model. Additionally, the proposed technique can be applied to various loading conditions such as vortex‐induced and buffeting effects since the modal parameters and the load model can be identified for any shape of the loading spectrum.

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Section: Load Modelmentioning

confidence: 99%

“…By substituting motion-induced load 𝑓 𝑚 = −2𝜉 𝑎 𝜔 𝑜 ẋ into Equation (27a) (e.g., Hansen, 2007;Kareem, 1982Kareem, , 1984Vickery & Basu, 1983), it can be written in a simpler form in terms of equivalent damping ratio (𝜉 𝑎 ). where 𝜉 𝑎 is the aerodynamic damping ratio.…”

Section: Application 2: Aeroelastic Modelmentioning

confidence: 99%

Frequency domain identification of modal characteristics and loads from output‐only measurements

Hwang

Kwon

Kareem

2023

Computer aided Civil Eng

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“…Wind tunnel tests may be classified in two families. The first includes measurements based on surface pressure taps [119][120][121] and high-frequency forcebalances [80,122] that detect the static and quasi-static model reactions (Figure 10); from here, the dynamic response may be derived by analytical methods, finite element models or specific numeric aids [123][124][125][126][127]. The second family uses direct measurements of the response carried out by means of aeroelastic balances [128] (Figure 25a) or fully aeroelastic models [129,130] (Figure 25b).…”

Section: Wind-excited Responsementioning

confidence: 99%

Wind Loading of Structures: Framework, Phenomena, Tools and Codification

Solari

2017

Structures

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“…Many related literatures have recorded the modal parameters of tall buildings with various geometric configurations under the boundary layer wind flows (Jeary, 1992;Tamura et al, 1995;Chen, 2013;Kwok & Melbourne, 1981;Kareem, 1982aKareem, , 1982bKwok, 1982;Kawai, 1992;Boggs, 1992;Vickery & Steckley, 1993;Piccardo & Solari, 1996;Isyumov, 1999;Tanaka et al, 2012). At present, the research results of modal frequency identification of highrise buildings under typhoon action are relatively mature, but the research results of modal damping ratio identification of high-rise buildings are not very mature.…”

Section: Introductionmentioning

confidence: 99%

Non-Stationary Response Analysis of a High-Rise Building in Haikou During Typhoons

Zhao

2023

Journal of Civil Engineering and Management

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From 2014 to 2016, several wind resistant field measurements were conducted to the high-rise building in Haikou. Based on these measurements, the present paper disclosed the characteristics of the time-history responses of axial acceleration on different floors during four typhoons, including the Rammasun, Kalmaegi, Mujigae and Sarika typhoons. The modal parameters of the measured building were identified by Morlet time-frequency wavelet transform methods, and the amplitude-dependent modal damping ratios and frequencies along translational directions were investigated. The results show that the variation trend of modal frequency with acceleration amplitude identified by the Morlet wavelet is the same as that recognized by time-domain method, while it is scattered with the interval bar (min-average-max) due to the nonstationary response of typhoon. Meanwhile, the larger the amplitude of acceleration response of high-rise buildings under strong wind, the greater the time-varying fluctuation of modal parameters identified by wavelet transform, and the bigger the difference between the interval bar (min-average-max). The full-scale study is expected to provide useful information on the wind-resistant design of high-rise buildings in typhoon-prone regions.

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Acrosswind Response of Buildings

Cited by 55 publications

References 0 publications

Frequency domain identification of modal characteristics and loads from output‐only measurements

Frequency domain identification of modal characteristics and loads from output‐only measurements

Wind Loading of Structures: Framework, Phenomena, Tools and Codification

Non-Stationary Response Analysis of a High-Rise Building in Haikou During Typhoons

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