摘要
设计了相关实验并测出钢丝绳径向位移,并在Ansys中用APDL建立了与实验装置的约束和载荷相同的有限元模型,采用遗传算法并将钢丝绳的材料参数作为变量,利用最小二乘法建立目标函数,用Matlab中遗传算法工具箱计算出目标函数取最小值时的变量值,遗传算法得到的变量值即为反演出的钢丝绳径向结构参数。由钢丝绳的径向结构参数建立的有限元模型可以用于钢丝绳径向力学行为的研究。
In the paper, related experiments are designed, and the radial displacement of wire ropes is measured. A finite element model with the same constraints and load as those of the experimental device is established by using APDL in Ansys. Genetic algorithm is also used with material parameters of wire rope as variables. An objective function is created by using the least square method, and the variable when the objective function is of the minimum value is calculated using the genetic algorithm toolbox in Matlab. The variable obtained by the genetic algorithm is the inverted radial structural parameter of wire ropes. The finite element model based on the radial structural parameters of wire ropes can be used for studying the radial mechanical behavior of wire ropes.
出处
《起重运输机械》
2017年第8期4-7,共4页
Hoisting and Conveying Machinery
基金
国家自然科学基金项目(51275070)
关键词
钢丝绳
参数反演
径向弹性模量
遗传算法
wire rope
parameter inversion
radial elastic modulus
genetic algorithm