Wind and Structures
Volume 36, Number 4, 2023, pages 221-236
DOI: 10.12989/was.2023.36.4.221
Identification of acrosswind load effects on tall slender structures
Jae-Seung Hwang, Dae-Kun Kwon, Jungtae Noh and Ahsan Kareem
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