Study on wind vibration coefficient of single-layer cable-suspended photovoltaic support
The single-layer cable-suspended photovoltaic structure is wind sensitive structure.However,there is no provision for its wind vibration coefficient in the current Chinese code.Therefore,the value of wind vibration coefficient was studied.AR method was used to simulate wind load and dynamic time history analysis was carried out.According to the characteristics of nonlinear structure,the calculation method of wind vibration coefficient was proposed and the calculation program was compiled.The basic distribution law of wind vibration coefficient at different nodes was analyzed.The variation law of wind vibration coefficient with structural parameters was discussed.The static equivalent results of wind vibration coefficient at different control points were compared and the range of wind vibration coefficient of internal force and vertical displacement was given.The results show that the internal force wind vibration coefficient of different nodes of the cable is more concentrated than the displacement wind vibration coefficient.The vertical displacement wind vibration coefficient of each node is greater than the horizontal displacement wind vibration coefficient.The wind vibration coefficient is less affected by the photovoltaic plate angle,and the wind vibration coefficient is almost unchanged from 0° to 15°.The vertical displacement wind vibration coefficient is greatly affected by the steel frame spacing,and its overall trend increases with the increase of the steel frame spacing,but its value has a certain fluctuation.The increase of initial pre-tension of cable will greatly reduce the vertical displacement wind vibration coefficient.Taking the maximum point of wind vibration response as the control point can ensure the safety of the structure and the static equivalent effect of wind vibration coefficient is better.The values of internal force wind vibration coefficient and vertical displacement wind vibration coefficient are 2.0-2.3 and 3.2-5.5.
万方数据
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