2023
DOI: 10.3846/jcem.2023.18675
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Non-Stationary Response Analysis of a High-Rise Building in Haikou During Typhoons

Abstract: 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 f… Show more

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Cited by 1 publication
(2 citation statements)
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References 27 publications
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“…The average periodogram method captures the mean statistical properties and is a key approach for examining frequency domain characteristics in random vibration analysis. In this study, a 50% overlap is applied to the data segments, and a Hamming window function is employed to window each segment [16]. The self-power spectral density function S xx ( f ) is expressed as follows:…”
Section: Acceleration Self Power Spectral Density Functionmentioning
confidence: 99%
See 1 more Smart Citation
“…The average periodogram method captures the mean statistical properties and is a key approach for examining frequency domain characteristics in random vibration analysis. In this study, a 50% overlap is applied to the data segments, and a Hamming window function is employed to window each segment [16]. The self-power spectral density function S xx ( f ) is expressed as follows:…”
Section: Acceleration Self Power Spectral Density Functionmentioning
confidence: 99%
“…analysis. In this study, a 50% overlap is applied to the data segments, and a Hamming window function is employed to window each segment [16]. The self-power spectral density function 𝑆 đť‘“ is expressed as follows:…”
Section: Acceleration Self Power Spectral Density Functionmentioning
confidence: 99%