科研之友
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摘要
In recent years, the crane becomes more and more important in industrial production. The crane structure design is mostly based on the traditional experience method and static parameter design at present, the structure design level is not high, it makes some crane structures exist with heavy weight, poor dynamic performance and other problems. Because of the static load, dynamic load, alternating load, impact load, vibration load and other load, the dynamic optimisation design of the gantry crane structure become one of research hot spots in order to improve the dynamic performance of the gantry crane. In this study, addressing the complexity and high nonlinearity ofthe structural dynamic characteristic ofthe gantry crane, the parametric finite element model and experimental design methods were used to establish the mapping relationship between the design variables of the gantry crane steel structure and the maximum dynamic stresses, bending dynamic stiffness and maximum dynamic displacement on the truss girder at full load. The layout optimisation of the truss girder internode and their sizes were determined. Afterwards, the requirements of low-stress, high natural frequency and lightweight were met. The non-dominated sorting genetic algorithm was used to perform 6a reliability optimisation. Based on the high-precision response surface approximation model, the Monte Carlo simulation technique was also used to evaluate the robust performance of the optimisation program. Results indicated that the dynamic structural optimisation of the gantry crane could be effectively achieved, the design quality and efficiency are evidently improved. Providing a new design way to improve the structural design of a crane has an important practical value to the development of cranes.
