基于灰狼优化算法的阮桥闸底板尺寸优化设计

Optimization Design of Sluice Bottom Plate of Ruanqiao Sluice Based on Grey Wolf Optimization Algorithm

在保证水闸稳定的前提下,为了减小水闸底板的工程量,对底板尺寸进行优化设计。选取阮桥闸实际工程作为分析对象,对底板尺寸进行优化设计。首先,建立以底板截面面积为目标函数,底板抗滑稳定、底板基底应力为约束条件的水闸底板尺寸优化数学模型;然后,分别利用灰狼优化算法与差分进化算法对水闸底板尺寸优化数学模型进行优化求解;最后,将灰狼优化算法得到的结果与用差分进化算法得到的优化结果进行比较。结果表明,灰狼优化算法对于阮桥闸底板尺寸优化设计问题的优化效果更好。

On the premise of ensuring the stability of sluices,the size of the sluice bottom plate can be optimized and designed to reduce the construction quantity of the sluice bottom plate.The actual project of Ruanqiao sluice was selected as the analysis object,and the size of the bottom plate was optimized.Firstly,the mathematical model for optimizing the size of the sluice bottom plate was established,taking the floor area as the objective function,floor anti-sliding stability and floor base stress as the constraint conditions.Then,the mathematical model for optimizing the size of the sluice bottom plate was optimized through the Grey Wolf Optimization Algorithm and Differential Evolution Algorithm,respectively.Finally,the two results were compared.The results showed that the Grey Wolf Optimization Algorithm had better optimization effect on the optimization design of the sluice bottom plate of Ruanqiao sluice.