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Wind and Structures Volume 36, Number 4, April 2023 , pages 221-236 DOI: https://doi.org/10.12989/was.2023.36.4.221 |
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Identification of acrosswind load effects on tall slender structures |
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Jae-Seung Hwang, Dae-Kun Kwon, Jungtae Noh and Ahsan Kareem
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| Abstract | ||
| The lateral component of turbulence and the vortices shed in the wake of a structure result in introducing dynamic wind load in the acrosswind direction and the resulting level of motion is typically larger than the corresponding alongwind motion for a dynamically sensitive structure. The underlying source mechanisms of the acrosswind load may be classified into motion-induced, buffeting, and Strouhal components. This study proposes a frequency domain framework to decompose the overall load into these components based on output-only measurements from wind tunnel experiments or full-scale measurements. First, the total acrosswind load is identified based on measured acceleration response by solving the inverse problem using the Kalman filter technique. The decomposition of the combined load is then performed by modeling each load component in terms of a Bayesian filtering scheme. More specifically, the decomposition and the estimation of the model parameters are accomplished using the unscented Kalman filter in the frequency domain. An aeroelastic wind tunnel experiment involving a tall circular cylinder was carried out for the validation of the proposed framework. The contribution of each load component to the acrosswind response is assessed by re-analyzing the system with the decomposed components. Through comparison of the measured and the re-analyzed response, it is demonstrated that the proposed framework effectively decomposes the total acrosswind load into components and sheds light on the overall underlying mechanism of the acrosswind load and attendant structural response. The delineation of these load components and their subsequent modeling and control may become increasingly important as tall slender buildings of the prismatic cross-section that are highly sensitive to the acrosswind load effects are increasingly being built in major metropolises. | ||
| Key Words | ||
| acrosswind load; Bayesian filter; Kalman filter; load decomposition; load estimation; Unscented Kalman filter; wind tunnel experiment | ||
| Address | ||
| Jae-Seung Hwang:School of Architecture, Chonnam National University, Gwangju 61186, Republic of Korea Dae-Kun Kwon:1)NatHaz Modeling Laboratory, University of Notre Dame, Notre Dame, IN 46556, USA 2)Center for Research Computing (CRC), University of Notre Dame, Notre Dame, IN 46556, USA Jungtae Noh:Department of Architectural Engineering, Dankook University, Yongin-si, Gyeonggi-do 16890, Republic of Korea Ahsan Kareem:NatHaz Modeling Laboratory, University of Notre Dame, Notre Dame, IN 46556, USA | ||