2021
DOI: 10.1016/j.jweia.2021.104781
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Field measurement study of wind characteristics in mountain terrain: Focusing on sudden intense winds

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Cited by 30 publications
(7 citation statements)
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“…The above classical PSDs can well describe the measured wind power spectra in coastal, plain or other open areas, but in recent years, the measured results of wind fields in many mountainous areas show that these classical spectra may misestimate the mountain measured turbulent kinetic energy, while the von Kármán spectrum 31 (see Eq. ( 7 )) is in better agreement with the measured results 9 , 22 , 32 , 33 . However, the analysis of the von Kármán spectrum is more complicated, involving the calculation of the integral turbulence scale that requires simultaneous measurement of multiple points in space, so it is difficult to achieve in engineering and can only be estimated by approximate methods.…”
Section: Theory and Methodologysupporting
confidence: 88%
“…The above classical PSDs can well describe the measured wind power spectra in coastal, plain or other open areas, but in recent years, the measured results of wind fields in many mountainous areas show that these classical spectra may misestimate the mountain measured turbulent kinetic energy, while the von Kármán spectrum 31 (see Eq. ( 7 )) is in better agreement with the measured results 9 , 22 , 32 , 33 . However, the analysis of the von Kármán spectrum is more complicated, involving the calculation of the integral turbulence scale that requires simultaneous measurement of multiple points in space, so it is difficult to achieve in engineering and can only be estimated by approximate methods.…”
Section: Theory and Methodologysupporting
confidence: 88%
“…These wind field characteristics play a crucial role during the construction and operation phases of bridge engineering, and influence the sustainable design of bridges [7]. Currently, researchers have extensively studied these phenomena, making many significant contributions based on their field measurements [8][9][10][11], wind tunnel tests [12][13][14][15], and numerical simulations [16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…Under these assumptions, current structural wind resistance codes and standards do not take into account non-stationarity [9,10]. However, recent studies have shown that significant time-varying features are observed in strong winds, including not only mean wind velocity [11] but also turbulence intensity, and turbulence integral scale [12][13][14][15]. Conventional stationary model will overestimate the turbulent wind parameters of strong winds [16].…”
Section: Introductionmentioning
confidence: 99%
“…Based on Priestley's theory, Huang et al [24] assumed that the EPSD consists of several stationary power spectra uniformly modulated by superposition, but its accuracy depends on the selected modulation function and stationary power spectrum, and it is difficult to apply [25]. To facilitate understanding and application, Hu et al [26] extended the Kaimal spectrum to EPSD based on its general form and considered the time-dependent fitting parameters, but this model only considers the turbulence integral scale calculated from the height above the ground, which may be less applicable than the Karman spectrum in complex terrain [13,15,27,28]. Scholars have established the Karman spectrum models based on non-stationary turbulence parameters [29,30], but their coefficients are fixed and can hardly reflect the time-and frequency-dependent properties of turbulent wind fields.…”
Section: Introductionmentioning
confidence: 99%