基于改进加速粒子群APSO算法的弧形闸门结构优化

Structural Optimization of Radial Gate based on Improved Accelerated Particle Swarm Optimization APSO Algorithm

针对传统水工闸门设计中较为保守的设计方法造成钢材浪费的问题,建立了基于MATLAB的弧形闸门优化设计模型,该模型以闸门主框架结构各构件尺寸为优化变量,以结构整体质量最少为目标函数,并针对腹板厚度添加优化变量调整系数,使用优化后的加速粒子群APSO算法对闸门整体进行了优化设计,对优化结果赋予闸门各构件并进行有限元建模计算。计算结果表明:优化设计不仅达成了经济性目标,保障了闸门的安全运行,并验证了算法的可行性和有效性。

Aiming at the problem of steel waste caused by conservative design methods in traditional hydraulic gate design,A MATLAB-based optimization design model for arc gates is established.The model takes the dimensions of the main frame structure of the gate as the optimization variable,takes the minimum overall quality of the structure as the objective function,and adds the optimization variable adjustment coefficient for the web thickness,and uses the optimized The accelerated particle swarm APSO algorithm optimizes the design of the gate as a whole,assigns the optimization results to each component of the gate,and performs finite element modeling calculations.The calculation results show that the optimized design not only achieves the economic goal,but also guarantees the safe operation of the gate and verifies the feasibility and effectiveness of the algorithm.