Structure Analysis And Optimum Design Of Tuss Structure Bridge Inspecting Vehicle

Bridge inspection vehicle equipped with bridge inspection equipment is a special-purpose vehicle for flow testing and maintenance operation. Lightweight of boom structure can improve the dynamic characteristics of hydraulic system and reduce vehicle balance weight. Parallel seat structure is a composed plate welded frame structure, which is restricted by the arm frame related mechanism in real work process; the calculation of fatigue life nd optimization design has an important significance to improve the service life of the bridge detection vehicle.This paper takes the boom structural of16m truss type bridge detection vehicle as the object of study, combined with the finite element method, neural network and genetic algorithm to complete a lightweight design of the truss type detection boom structure; Based on the fatigue reliability theory, experimental design and response surface method, with the help of software integration automation method of ISIGHT to complete anti-fatigue optimization design of parallel seat structure.(1) FEA simulation model of boom structure is established in the ANSYS Workbench Static and modal analysis is solved to obtain its displacement and stress and check its stiffness and intensity.(2) Orthogonal experimentation is used in choosing the training sample data and trained by the BP neural network; the nonlinear neural network model between the design parameters and the objectives is constructed based on the test data. Aiming at the least weight of jib structure the genetic algorithm is used to accomplish the global optimization.(3) Taking the parallel seat structure as the key component, use the Fatigue Tool of WB to calculation of the fatigue life, determine the critical point of the structure fatigue.(4) Based on response of design variables on the weight and the fatigue life of the structure to establish response surface approximate model. By means of Automatic integration function of ISIGHT to set up structure optimization process, using the multi Island genetic algorithm for optimization in response surface modelLightweight design can save development cost and time, improve development quality, and make the product meet the design requirement in the utmust probability. Meanwhile, provide an efficient method of researching and developing on sililar products.