Study On Morphological Control Method And Experimental Research Of Adaptive Cable Dome Structure

At present,artificial intelligence(AI)has become the focus of the international community and has also aroused the country’s high attention.Artificial intelligence theory and technology have become more and more mature since its birth,and the field of application has also been expanding.The application in civil engineering has been popularized gradually,especially in the field of space structure.At present,in the field of space structure,the new cable-strut tension structure system,represented by cable dome structure,which is composed of cable and bar elements,has become the focus of space structure.Therefore,how to apply artificial intelligence to cable domes deserves to be explored and in depth.The internal force control optimization and displacement control optimization of levy cable dome were studied.An experimental study on the internal force control of levy cable dome with a diameter of 5 m was carried out.The main work in this paper was as follows.Firstly,Actuators which could vary members’ length actively were introduced into cable dome for shape adjustment and reducing the interior forces.Then the internal force sensitivity analysis and displacement sensitivity analysis of the structure are carried out.The concepts of the working state coefficient of the member and the working state coefficient of the structure were introduced.On this basis,the internal force control optimization model and the displacement control optimization model are established respectively.The intelligent algorithm,i.e.ant colony algorithm and multiple colony genetic algorithm,which are used to solve the optimization model were described in detail.The internal force control optimization problem and the displacement control optimization problem were numerically simulated based on MATLAB,and the optimal control effects under various working conditions were described in detail.In this paper,the optimum control of internal force and displacement of levy cable dome with diameter of 120 m was studied.The internal forces,displacements,working state coefficient of each member and the working state coefficient of structure under different working conditions were calculated by ant colony algorithm and multi-colony genetic algorithm respectively considering different position and quantity of actuators.The effects of internal force control and displacement control under different working conditions were analyzed.The advantages and disadvantages of ant colony algorithm and multi-population genetic algorithm in internal force optimization control and displacement optimization control,as well as the optimal actuator layout scheme(including the number and position of layout)under different load conditions were discussed.A model of levy cable dome with a diameter of 5 m was designed.The actuator was used to replace the central strut in the original structure.At the same time,a set of actuation control system was designed and the internal force optimal control was studied.The strain and stress of the structure were collected by the dynamic and static strain measurement system.The optimal control effect of the internal force of the adaptive levy cable dome structure was further revealed by analyzing and comparing the experimental results with the theoretical numerical simulation results.