基于混合粒子群优化算法的桥梁有限元模型修正  

Bridge Finite Element Model Modification Based on Hybrid Particle Swarm Optimization Algorithm

作　　者：邹旭东 雷建平[1] ZOU Xudong;LEI Jianping(School of Transportation, Wuhan University of Technology, Wuhan 430063, China)

机构地区：[1]武汉理工大学交通学院,武汉430063

出　　处：《交通科技》2018年第6期5-8,共4页Transportation Science & Technology

摘　　要：针对传统模型修正方法求解复杂、精度较差等问题,提出基于混合粒子群优化算法的模型修正策略。由于粒子群算法存在早熟收敛问题,采取自适应动态惯性权重策略改进粒子群算法,并引入差分进化算法进行混合优化。在模型修正时,对模型进行相关性分析并选取待修正参数,引入混合粒子群算法修正模型的参数,得到能够真实反映桥梁结构静、动力特性的有限元模型,为结构安全评估及健康监测提供科学依据。采用该方法对某简支梁模型进行修正,修正后的模型精度较高,验证了该算法的有效性。In view of the complexity and poor accuracy of the traditional model updating method,a model updating strategy based on hybrid particle swarm optimization algorithm is proposed.Due to the premature convergence of particle swarm optimization,the adaptive dynamic inertia weight strategy is adopted to improve the particle swarm optimization,and the differential evolution algorithm is introduced to optimize the hybrid optimization.In the model correction,the model is analyzed and the parameters to be corrected are selected.Then the hybrid particle swarm optimization is introduced to correct the parameters of the model,and the finite element model that can truly reflect the static and dynamic characteristics of the bridge structure is obtained,which provides a scientific basis for the safety assessment and health monitoring of the structure.Finally,a simple-supported beam model is modified by this method.The modified model has higher accuracy,which shows the effectiveness of the algorithm.

关 键 词：粒子群 差分进化 混合优化算法 模型修正 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] U441[自动化与计算机技术—控制科学与工程]