Design And Analysis Of Tension-type Space Cabin Skeleton Structure

With the deep development of aerospace and planets exploration,many scientists have proposed the idea of building a manned exploration base,such as the moon and Mars.Compared to the existing manned cabin structure,the tension-type cabin structure has the advantages of light weight,deplayable,scalable and high material utilization rate.The configuration,mechanical properties and parameters optimization of the tension type cabin structure are designed and analyzed,besides,the theoretical verification is carried out with the principle prototype model.This thesis proposed a double helix topology structure with the inspiration of origami art,and established the node matrix,component matrix and component connection matrix of the structure.The cylindrical structure and the hollow annular structure are obtained by adding the boundary conditions,then changing the position coordinates of nodes and obtaining different cross section structures to enrich the configuration types.On this basis,proposed three folding methods and analyzed their advantages and disadvantages.Aimed to the nonlinear large deformation of the tensegrity structure and the mechanical properties of the structure itself,this thesis derived the tangent stiffness matrix.This thesis also proposed a method of superposition of tiny external loads for statics analysis,and the theoretical calculation and software analysis are verified each other with the aid of an example of a three bar basic unit.Finally,use ANSYS to complete the static analysis of the double helix tensegrity structure,and obtain the change trend of the node displacement under the different loads compression,bending and torsion.In order to obtain the optimal structure,genetic algorithm is used to optimize the structure.Firstly,the minimum mass design is carried out based on the constraint conditions of yield and buckling,and it is expressed by the basic parameters.Then the BP neural network of each parameter and the first order natural frequency is established,and bring the trained neural network into the fitness function of the multi-objective optimization design.Finally,the objective functions such as mass,fundamental frequency and volume are optimized,and calculated the optimized structural parameters.According to the optimization results,the deplayable mode is determined.The structure of the retractable rod in the structure is designed in detail,and the parameters ofthe locking device and the driving spring are analyzed emphatically.Finally,the principle prototype model is developed and tested,including the model test and the static stiffness test.The test was carried out to verify the principle.