基于量子粒子群与标准粒子群混合算法的框架结构异构体系模型参数辨识

Parameter identification of frame structure heterogeneous system model based on hybrid quantum particle swarm and standard particle swarm algorithm

为了研究相邻框架结构地震碰撞问题,经常将框架结构动力学模型简化为树形拓扑结构,以提高计算效率。该文提出了一种将量子粒子群与标准粒子群结合的参数辨识方法,基于结构的动力特性等效原则,对框架结构建立适应于多体系统传递矩阵法(MS-TMM)高效计算的树形拓扑系统动力学模型,模型的相关力学参数的确定是基于量子粒子群与标准粒子群混合算法,由有限元方法计算得到模态参数,通过参数辨识的方法来完成。为了验证所提出方法的有效性,以三层框架结构为工程算例,将三层框架结构转化为树形拓扑力学模型,通过提出的参数辨识方法和标准量子粒子群算法分别进行参数辨识,并将两种方法的辨识结果分别利用多体系统传递矩阵法(MS-TMM)计算频率,将频率计算结果分别与Ansys结果进行比较。结果表明,该文方法的识别精度优于标准量子粒子群算法。

In order to study the seismic collision problem of adjacent frame structures,the dynamic model of the frame structure is often simplified to a tree topology to improve its calculation efficiency.This paper proposes a parameter identification method that combines the quantum particle swarm and the standard particle swarm.Based on the principle of structural dynamic characteristic equivalence,the topological system dynamic model of the frame structure suitable for efficient calculation of the multibody system transfer matrix method(MS-TMM)is established.The relevant mechanical parameters of this dynamic model are calculated by the finite element method.The modal parameters are determined based on the parameter identification of the hydrid quantum particle swarm algorithm and the standard particle swarm algorithm.In this paper,a three-layer frame structure is used as an engineering example.The three-layer frame structure is transformed into a tree-topological mechanics model.The parameter identification method and standard quantum particle swarm algorithm proposed in this paper are used to identify the parameters.The multi-body system transfer matrix method(MS-TMM)is used to calculate the frequency,and the frequency calculation results of the two methods are compared with the frequencies calculated by the Ansys.The results show that the parameter identification method proposed in this paper is supperior to the standard quantum particle swarm algorithm in terms of identification accuracy.