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该文提出了将遗传算法(Genetic Algorithm)与有限元分析相结合的方法,用来解决反问题中壳体结构静荷载的作用位置及大小的识别。首先,利用有限元法计算出结构若干观测点的电荷,建立以该电荷为变量的目标函数,然后以荷载位置和大小作为参数进行遗传算法的二进制串编码,利用该优化方法迭代反算出施加在结构上的荷载位置和大小。另外,因计算电荷值和实验值之间存在一定误差,以一节点为研究对象,往计算电荷值中加入10%的白噪声干扰,计算结果表明有干扰和无干扰情况下的荷载的识别结果相对误差很小。
This paper presents a method of combining genetic algorithm with finite element analysis to solve the problem of the position and size of the static load in the shell structure. Firstly, the electric charge of several observation points in the structure is calculated by using the finite element method, and the objective function with the electric charge as the variable is established. Then the binary string coding of the genetic algorithm is carried out by taking the load position and size as parameters. By using this optimization method, Structural load location and size. In addition, due to the existence of a certain error between the calculated charge and the experimental value, a node is taken as the research object, 10% of the white noise interference is added to the calculated charge value, and the calculation result shows the recognition result of the load under the interference and the non-interference The relative error is small.