The random vibration of saddle membrane structures under wind load is studied theoretically and experimentally.
First, the nonlinear random vibration differential equations of saddle membrane structures under wind loads are established
based on von Karman's large deflection theory, thin shell theory and potential flow theory. The probabilistic density function
(PDF) and its corresponding statistical parameters of the displacement response of membrane structure are obtained by using the
diffusion process theory and the Fokker Planck Kolmogorov equation method (FPK) to solve the equation. Furthermore, a wind
tunnel test is carried out to obtain the displacement time history data of the test model under wind load, and the statistical
characteristics of the displacement time history of the prototype model are obtained by similarity theory and probability statistics
method. Finally, the rationality of the theoretical model is verified by comparing the experimental model with the theoretical
model. The results show that the theoretical model agrees with the experimental model, and the random vibration response can
be effectively reduced by increasing the initial pretension force and the rise-span ratio within a certain range. The research
methods can provide a theoretical reference for the random vibration of the membrane structure, and also be the foundation of
structural reliability of membrane structure based on wind-induced response.
Rongjie Pan:1)School of Civil Engineering, Guangzhou University, Guangzhou, 510006, China 2)Guangdong Provincial Key Laboratory of Earthquake Engineering and Applied Technology, Guangzhou University,
Guangzhou 510006, China
Changjiang Liu:1)School of Civil Engineering, Guangzhou University, Guangzhou, 510006, China
2)School of Civil Engineering, Fuzhou University, Fuzhou, 350116, China
Dong Li:School of Civil Engineering, Fuzhou University, Fuzhou, 350116, China
Yuanjun Sun:1)School of Civil Engineering, Guangzhou University, Guangzhou, 510006, China 2)Guangdong Provincial Key Laboratory of Earthquake Engineering and Applied Technology, Guangzhou University,
Guangzhou 510006, China
Weibin Huang:1)School of Civil Engineering, Guangzhou University, Guangzhou, 510006, China 2)Guangdong Provincial Key Laboratory of Earthquake Engineering and Applied Technology, Guangzhou University,
Guangzhou 510006, China
Ziye Chen:1)School of Civil Engineering, Guangzhou University, Guangzhou, 510006, China 2)Guangdong Provincial Key Laboratory of Earthquake Engineering and Applied Technology, Guangzhou University,
Guangzhou 510006, China
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