基于改进粒子群算法的管道动强度可靠性优化设计

Pipe Dynamic Reliability Optimization Based on Improved Particle Swarm Algorithm

本文对某型飞机液压管道采用的带压缩因子的粒子群算法(PSO)进行了改进,并对其支撑位置进行动力学优化。使用映射方法来离散粒子的位置,分别利用"和声搜索"法和"飞回技术"法对粒子群算法的边界条件和约束条件进行处理,改进了粒子群算法。并有效结合有限元(FEM)和改进的粒子群算法,以管道的疲劳累积损伤可靠度为约束,以一阶固有频率最大为目标对支撑位置进行动力学优化。经过优化,提高了管道的一阶固有频率,降低了振动水平,增强了系统的抗振能力。

For a certain type of aircraft hydraulic pipe,the discrete particle swarm algorithm with constriction factor is adopted to optimize the locations of supports.The particle swarm optimization is improved by using the mapping method to discrete the positions of particles,using the 'fly-back mechanism' technique to handle the boundary constraints and the harmony search algorithm to handle the problem-specific constraints.An interface program between the improved particle swarm optimization algorithm and ANSYS is developed.Under the constraints of reliability,the locations of the supports are optimized with the first natural frequency as the objective function.The optimized pipeline has higher first natural frequency,lower dynamic stress and better anti-vibration capability.