Impact of saddle membrane structure by hail with combined particle sizes: Numerical simulation and experimental investigation

Liu, Changjiang; Wang, Mengfei; Deng, Xiaowei; Liu, Dong; Liu, Jian; Wang, Xing

doi:10.1016/j.engstruct.2022.114477

Cited by 9 publications

(1 citation statement)

References 29 publications

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“…It is often designed into various negative Gaussian curvature spatial shapes [3][4][5], which is very ornamental and widely used in modern large-span spatial structures. The structure will be affected by wind load, rain load, and hail impact load in daily use [6][7][8][9]. For example, Cui et al [10] established a reducedorder modeling procedure to simulate the wind-induced buffeting vibration of long-span bridges.…”

Section: Introductionmentioning

confidence: 99%

Study on Wind-Induced Dynamic Response and Statistical Parameters of Skeleton Supported Saddle Membrane Structure in Arching and Vertical Direction

Chen,

Liu,

et al. 2024

Buildings

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Wind tunnel tests and numerical simulations are the mainstream methods to study the wind-induced vibration of structures. However, few articles use statistical parameters to point out the differences and errors of these two research methods in exploring the wind-induced response of membrane structures. The displacement vibration of a saddle membrane structure under the action of wind load is studied by wind tunnel tests and numerical simulation, and statistical parameters (mean, range, skewness, and kurtosis) are introduced to analyze and compare the displacement data. The most unfavorable wind direction angle is 0° (arching direction). The error between experiment and simulation is less than 10%. The probability density curve has a good coincidence degree. Both the test and simulation show a certain skewed distribution, indicating that the wind-induced vibration of the membrane does not obey the Gaussian distribution. The displacement response obtained by the test has good stability, while the simulated displacement response has strong discreteness. The difference between the two research methods is quantitatively given by introducing statistical parameters, which is helpful to improve the shortcomings of wind tunnel tests and numerical simulations.

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