Measurement of Non-Stationary Characteristics of a Landfall Typhoon at the Jiangyin Bridge Site

He, Xuhui; Qin, Hongxi; Tao, Tianyou; Liu, Wenshuo; Wang, Hao

doi:10.3390/s17102186

Cited by 12 publications

(11 citation statements)

References 21 publications

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“…It can be seen from that the gust factors of stationary wind speed model and nonstationary wind speed model have a similar fluctuation trend and amplitude size, but the gust factor of the stationary model is larger than that of the nonstationary model. Tao [21] and He [17] reported that the gust factor was closely related to the longitudinal turbulence intensity. Figure 9 shows the relationship between the gust factor and longitudinal turbulence intensity under the stationary model and nonstationary model.…”

Section: Gust Factormentioning

confidence: 99%

“…These researchers have done considerable work in the field of wind characteristics measurement and have developed their own wind field models, and their results have been widely used in wind engineering specifications in various countries [13][14][15]. Because typhoons have obvious nonstationary characteristics that differ from those of stationary wind models, researchers have turned their attention to the study of nonstationary random wind fields under extreme weather conditions [16][17][18][19]. Based on the above premise, various nonstationary characteristics methods have been devised and their feasibility has been demonstrated.…”

Section: Introductionmentioning

confidence: 99%

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Field Monitoring and Analysis of the Vibration of Stay Cables under Typhoon Conditions

Guo

Zhu²

2020

Sensors

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Structural health monitoring systems provide many advantages for full-scale measurements in bridge monitoring. In this study, a strong landing typhoon event recorded at the Jintang Bridge (Zhejiang Province, China) in 2019 was selected to study the nonstationary wind and cable vibration characteristics. To study the characteristics of the recorded typhoon, the time-varying mean wind was extracted based on the adaptive method of the wavelet-matrix transform. The nonstationary characteristics of Typhoon Lekima, including the turbulence intensity, gust factor, and fluctuating wind power spectral density, were analyzed and compared with the stationary model characteristics of a typhoon, and the typical characteristics and parameters were obtained. In addition, the measured vibration response of the cables was analyzed. The vibration characteristics of the cables and the energy distribution of the wind speed wavelet packet were investigated. The vibrations at different positions were compared. A power spectrum analysis and a wavelet packet energy analysis of the cable were performed. The results of this study can be used as a basis for wind-resistant design and performance evaluation of bridges under similar operational conditions.

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Section: Gust Factormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Field Monitoring and Analysis of the Vibration of Stay Cables under Typhoon Conditions

Guo

Zhu²

2020

Sensors

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“…Choi suggested that k 1 = 0.62 and k 2 = 1.27, whereas Ishizaki stated that k 1 = 0.5 and k 2 = 1.0. Many field measurements have revealed linear relations between the gust factor and longitudinal turbulence intensity, which means k 2 = 1.0 is widely accepted [22][23][24][25]. Gu et al [23] conducted a statistical analysis by comparing fitting parameter k 2 with Equation (9) or the constant 1, and the results show that the calculations of the two methods are nearly identical.…”

Section: Relations Between Fluctuating Parametersmentioning

confidence: 99%

Wind Characteristics Investigation on The Roofs of Three Adjacent High-Rise Buildings in a Coastal Area during Typhoon Meranti

Wang

et al. 2019

Applied Sciences

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This paper presents the study of the pulsating characteristics of three adjacent high-rise buildings A, B, and C under typhoon ‘Moranti’ (2016) based on the measurement of the actual top wind speed. The studied pulsating characteristics included mean wind speed and direction, turbulence intensity, gust factor, turbulence integral scale, wind speed spectrum and correlation. The relationships between each pulsating parameter and the relationship between the pulsating parameter and gust duration have been investigated. Results show that the mean wind speed and wind direction of three buildings are close. When U ≥ 10 m/s in three different sites at the same time, the turbulence intensity variation of three buildings is consistent and decreases when mean wind speed increases. Once only two locations are acquired simultaneously and the wind angle between 35° and 45°, the mean values of the along-wind and cross-wind turbulence of building A and building C are close. The along-wind turbulence of the three buildings is greater than the predicted Chinese codes for various terrains. The turbulence intensity and gust factors obtained through the analysis of the samples with the mean wind speed U ≥ 10 m/s are reasonable. The turbulence integral scales of buildings A and C are equal to the predicted values of ASCE-7 and AIJ-2004, whereas the turbulent integral scale of building B is evidently small. The gust factors of three buildings increase when the turbulence intensity increases; these two characteristics have a linear relationship. At the same time interval, building B has the maximum along-wind turbulence intensity and gust factors during the low wind speed period and building C achieves the minimum values. Building A acquires the maximum and building C obtains the minimum values in the high wind speed period. The turbulence intensity and gust factors of building B show a certain pulsation. Results show that turbulence intensity and gust factors are mainly affected by the short-term fluctuation of wind. The longitudinal wind speed spectrum of three buildings conforms well to the von Karman model. The correlation of along-wind speed depends on the wind speed, whereas the correlation of cross-wind direction is independent of wind speeds. The measured data and statistical parameters provide useful information for the wind resistance design of high-rise buildings in typhoon-prone areas.

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“…Compared to the land-based measurement tower, the WMS installed on the bridge is apparently more representative and accurate. Although the WMS has become very popular and been treated as an essential part of the united wind and structural health monitoring system (WSHMS) in major and important bridges around the world to enhance structural safety and verify the current wind-induced vibration theory [7][8][9][10][11][12][13][14][15][16][17][18], most of the available studies concentrate on the wind characteristics and buffeting response of cable-supported bridges under the service stage. On the other On the other hand, it is well known that the cable-stayed bridges are considerably more vulnerable to oncoming wind turbulence during construction than after completion [8,[18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Strong Wind Characteristics and Buffeting Response of a Cable-Stayed Bridge under Construction

Yan

Ren

et al. 2020

Sensors

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This study carries out a detailed full-scale investigation on the strong wind characteristics at a cable-stayed bridge site and associated buffeting response of the bridge structure during construction, using a field monitoring system. It is found that the wind turbulence parameters during the typhoon and monsoon conditions share a considerable amount of similarity, and they can be described as the input turbulence parameters for the current wind-induced vibration theory. While the longitudinal turbulence integral scales are consistent with those in regional structural codes, the turbulence intensities and gust factors are less than the recommended values. The wind spectra obtained via the field measurements can be well approximated by the von Karman spectra. For the buffeting response of the bridge under strong winds, its vertical acceleration responses at the extreme single-cantilever state are significantly larger than those in the horizontal direction and the increasing tendencies with mean wind velocities are also different from each other. The identified frequencies of the bridge are utilized to validate its finite element model (FEM), and these field-measurement acceleration results are compared with those from the FEM-based numerical buffeting analysis with measured turbulence parameters.

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Measurement of Non-Stationary Characteristics of a Landfall Typhoon at the Jiangyin Bridge Site

Cited by 12 publications

References 21 publications

Field Monitoring and Analysis of the Vibration of Stay Cables under Typhoon Conditions

Field Monitoring and Analysis of the Vibration of Stay Cables under Typhoon Conditions

Wind Characteristics Investigation on The Roofs of Three Adjacent High-Rise Buildings in a Coastal Area during Typhoon Meranti

Strong Wind Characteristics and Buffeting Response of a Cable-Stayed Bridge under Construction

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