Superstructure Parameter Optimization of Green and Energy-saving Subway based on Grey Correlation Method
As urban land resources are becoming more and more tense,the subway construction area is relatively large,and the superstructure of the subway can effectively improve the efficiency of urban land use.However,the frequent operation of the subway will cause vibration of the superstructure of the subway and reduce the stability of the building structure.Aiming at this problem,this paper proposes a study on parameter optimization of green and energy-saving subway superstructure based on grey relational method.First,monitoring points in the subway superstructure are set up,and a vibration tester are used to monitor the change of vibration source.The grey correlation method is introduced to establish a green and energy-saving subway superstructure model to obtain the correlation degree of building parameters.The weight value of the superstructure parameters is calculated,and the objective weight and risk characteristics of the parameters are obtained.Finally,the vibration isolation bearing is set to optimize the parameters of the superstructure.Experiments show that the frame stiffness and lateral stiffness of the subway superstructure optimized by parameters are better performed,and the overall structure has higher lateral force resistance performance.
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