基于微型多目标遗传算法的布料机臂架结构优化

Design Optimization of the Telescopic Boom of Concrete Distributing Machine Based on Micro Multi-objective Genetic Algorithm

针对目前用于散料输送的大跨度布料机布料臂架结构重大、设计冗余度严重过剩等问题,采用一种微型多目标遗传算法对布料臂架主梁结构尺寸进行多目标优化.以各节臂架主梁的截面尺寸为优化变量,以增强臂架刚度和轻量化为优化目标,结合微型多目标遗传算法和参数化有限元建模技术,建立了布料臂架的优化设计模型.此方法既能高效率地解决增强臂架刚度和臂架减重等优化问题,又能仅通过一次计算就提供多组方案以满足对布料机性能控制的不同需要.该优化结果已用于该系列布料机的定型设计.

The telescopic boom of large-sized concrete distributing machine is usually enormous, and its design redundancy is serious. In order to solve these problems, a multi-objective optimization method based on the micro multi-objective genetic algorithm for the telescopic boom structure has been proposed. The optimization model was built with the micro multi-objective genetic algorithm and ANSYS parameter design language, in which the cross section parameters of telescopic boom were optimization variables, and the maximum stiffness and light weight were optimization objectives. Eventually, higher stiffness and lighter weight could be obtained. In the mean time, many alternatives,which could fulfill different needs, were acquired. Optimal solutions from calculations were applied to the stereotype of the concrete distributing machine.