Measurement of downburst storm wind field and wind response of transmission tower

PDF(3262 KB)

Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (24) : 267-276.

WANG Zhisong1,2, XU Qinglu1, FANG Zhiyuan2, YANG Fei1

Author information +

History +

Abstract

Downburst is a common extreme wind climate, which is destructive to transmission lines. It is of great significance to study the wind field and wind effect of downburst in order to understand the characteristics of wind field and carry out the design of structure anti-thunder storm reasonably. This study is based on the field measurement project of transmission towers in southern Zhejiang Province. Suspected downburst wind speed data were selected. The measured model of transmission tower is established, and the wind-induced vibration response of transmission tower under the measured wind field is analyzed. The research results show that The measured time-varying average wind speed of downburst can be extracted quickly and accurately by using the moving average method and using the average time distance of 60s. The turbulence intensity of the pulsating wind speed during suspected downburst events, particularly during periods of extreme wind speed, was measured to be approximately 0.2, indicating a close resemblance to a Gaussian distribution. Upon analyzing the temporal variation of turbulence intensity in two wind speed time series, it was observed that the turbulence intensity tends to increase as the measured wind speed becomes larger, especially when the wind field weakens during wind speed reductions. The measured inclination, second and top layer acceleration responses are mainly provided by the first two orders of modes. The foot strain of transmission tower is greatly affected by temperature in a long time range and wind speed in a local short time range. The structural response is mainly provided by the first two orders of modes; Using the nonlinear planning genetic algorithm to record the wind speed timescale through a limited number of measurement points can be a good inverse performance of the wind field parameters, and the reconstructed wind field is better restored to the measured wind field wind speed timescale; The dynamic response of the transmission tower under the effect of the reconstructed wind field is close to the measured data with the same trend and magnitude.

Key words

Downburst / Transmission tower / Measurement / Numerical Simulation / Measured response / Reconstruction of Wind Field

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

WANG Zhisong1, 2, XU Qinglu1, FANG Zhiyuan2, YANG Fei1. Measurement of downburst storm wind field and wind response of transmission tower[J]. Journal of Vibration and Shock, 2024, 43(24): 267-276

References

[1] Fujita T T, The downburst:Microburst and macroburst:Report of projects NIMROD and JAWS[R]. Chicago: Satellite and Mesometeorology Research Project, Department of the Geophysical Sciences, University of Chicago, 1985.
[2] Fujita T T. Objectives, operations, and results of Project NIMROD[C]// proceedings of the 11th Conf on Severe Local Storms, Kansas City, 1979.
[3] Mccarthy J, Wilson J W, Fujita T T. The Joint Airport Weather Studies Project[J]. Bulletin of the American Meteorological. Society,1982,63:15-22.
[4] J. M. The Classify, Locate, and Avoid Wind Shear (CLAWS) Project at Denver's Stapleton International Airport: Operational testing of terminal weather hazard warnings with an emphasis on microburst wind shear[C]// proceedings of the Second International Conference on the Aviation Weather system in Montreal, 1985.
[5] Wolfson M M. The FLOWS automatic weather station network[J]. Journal of Atmospheric and Oceanic Technology, 1989, 6(2): 307-326.
[6] Gunter W S, Schroeder J L. High-resolution full-scale measurements of thunderstorm outflow winds[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2015, 138: 13-26.
[7] Repetto M P, Burlando M, Solari G, et al. Integrated tools for improving the resilience of seaports under extreme wind events - ScienceDirect[J]. Sustainable Cities and Society, 2017, 32: 277-294.
[8] 彭留留. 非平稳极端风实测,建模和模拟及高层建筑风致响应研究[D]. 成都: 西南交通大学, 2017.
PENG Liu-liu. Nonstationary extreme winds: Field measurement, modeling, simulation and wind-induced response of high-rise buildings[D]. Chengdu: Southwest Jiaotong University, 2017.
[9] Zhang S, Yang Q, Solari G, et al. Characteristics of thunderstorm outflows in Beijing urban area[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 195: 104011.
[10] 刘志文, 李书琼, 刘勇, 等. 大跨度斜拉桥下击暴流风致振动响应实测[J]. 湖南大学学报:自然科学版, 2021, 48(11): 1-11.
LIU Zhi-wen, LI Shu-qiong, LIU Yong, et al. Field Measurement of Wind-induced Vibration Response of Long-span Cable-stayed Bridge under Downburst[J]. Journal of Hunan University: Natural Sciences, 2021, 48(11): 1-11.
[11] 何宏明, 雷旭, 聂铭, 等. 台风作用下输电塔塔周风场与动力响应实测分析[J]. 建筑结构学报, 2018, 39(8): 1-9.
HE Hong-ming, LEI Xu, NIE Ming, et al. Measurement and analysis of nearby wind field characteristics and dynamic response of transmission tower during typhoon[J]. Journal of Building Structures, 2018, 39(8): 1-9.
[12] 崔磊, 何运祥, 汪大海. 台风"海鸥"的风场实测与输电塔风振响应分析[J]. 防灾减灾工程学报, 2016, 36(6): 1-8.
CUI Lei, HE Yun-xiang, WANG Da-hai, et al. The Wind Field Measurement in the Typhoon “Seagull” and the Wind-induced Dynamic Responses of the Transmission Tower[J]. Journal of Disaster Prevention and Mitigation Engineering, 2016, 36(6): 1-8.
[13] 刘慕广,胡家锴,余先锋,等.下击暴流风特性及其对高耸桅杆动力作用的实测分析[J].建筑结构学报,2023,44(03):157-166.
LIU Mu-guang, HU Jia-kai, YU Xian-feng, et al. Observational study of wind characteristics of thunderstorm and dynamic effects on high-rise masts[J]. Journal of Building Structures, 2023,44(03):157-166.
[14] 卞荣,徐卿,俞恩科,等.台风作用下输电塔线体系多元状态监测及风偏可靠度分析[J].振动与冲击,2020,39(03):52-59.
BIAN Rong, XU Qing, YU En-ke, et al. Multi-variate state monitoring and wind bias reliability analysis of a transmission tower-line system under action of typhoon[J]. Journal of Vibration and Shock, 2020,39(03):52-59.
[15] 赵桂峰, 李杰, 谢强, 等. 高压输电塔线耦联体系风振响应有限元分析与现场实测对比研究[J]. 自然灾害学报, 2014, 23(1): 11.
ZHAO Gui-feng, LI Jie, XIE Qiang, et al. Finite element analysis and field measurement of wind-induced vibration response of high-voltage transmission tower-ine coupling system[J]. Journal of Natural Disasters, 2014, 23(1): 11.
[16] 李宏海. 下击暴流时空分布统计与风场特性和结构风荷载实验研究[D]. 哈尔滨: 哈尔滨工业大学, 2015.
LI Hong-hai. Spatio-temporal distribution statistic analysis and experiments of wind field characteristics and wind loads on structures of downburst [D]. Haerin: Harbin Institute of Technology, 2015.
[17] 庞加斌. 沿海和山区强风特性的观测分析与风洞模拟研究[D]. 上海: 同济大学, 2006.
PANG Jia-bin. Field investigation and wind tunnel simulation of strong wind characteristics in coastal and mountainous regions[D]. Shanghai: Tongji University, 2006.
[18] Kareem A, Kijewski T. Time-frequency analysis of wind effects on structures[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2002, 90(12-15): 1435-1452.
[19] Su Y, Huang G, Xu Y L. Derivation of time-varying mean for non-stationary downburst winds[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2015, 141: 39-48.
[20] Gilles, J. Empirical Wavelet Transform[J]. IEEE Transactions on Signal Processing, 2013, 61(16): 3999-4010.
[21] Chen L, Letchford C W. A deterministic–stochastic hybrid model of downbursts and its impact on a cantilevered structure[J]. Engineering Structures, 2004, 26(5): 619-629.
[22] Wang L, Kareem A. Modeling of non-stationary winds in gust fronts[C]// proceedings of the 9th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability, New Mexico, 2004.
[23] Holmes J D, Hangan H M, Schroeder J L, et al. A forensic study of the Lubbock-Reese downdraft of 2002[J]. Wind and Structures, 2008, 11(2): 137-152.
[24] Choi E. Wind characteristics of tropical thunderstorms[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2000, 84(2): 215-226.
[25] Liang H, Xu Y L, Huang W F. Typhoon-induced non-stationary buffeting response of long-span bridges in complex terrain[J]. Engineering Structures, 2013, 57(4): 406-415.
[26] Le V, Caracoglia L. Generation and characterization of a non-stationary flow field in a small-scale wind tunnel using a multi-blade flow device[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2019, 186: 1-16.
[27] Lombardo F T, Smith D, Schroeder J L, et al. Thunderstorm characteristics of importance to wind engineering[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2014, 125: 121–132.
[28] Kaimal J C, Wyngaard J C, Izumi Y, et al. Spectral characteristics of surface‐layer turbulence[J]. Quarterly Journal of the Royal Meteorological Society, 1972, 98(417): 563-589.
[29] Davenport A G. The dependence of wind loads on meteorological parameters[C]// proceedings of the Wind Effects on Buildings and Structures, Ottawa, 1967.
[30] Xhelaj A, Burlando M, Solari G. A general-purpose analytical model for reconstructing the thunderstorm outflows of travelling downbursts immersed in ABL flows[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 207: 104373.
[31] Abd-Elaal E-S, Mills J E, Ma X. A coupled parametric-CFD study for determining ages of downbursts through investigation of different field parameters[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2013, 123: 30-42.
[32] 方智远. 移动型下击暴流的模型化、参数反演及输电塔线体系风振响应研究[D]. 重庆: 重庆大学, 2021.
FANG Zhi-yuan. Moving downburst: Modeling, parameter inversion and wind-induced response of transmission tower line system[D]. Chongqing: Chongqing University, 2021.