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结构的模态参数识别是结构健康监测系统的基本任务。随着工程结构的日益大型化和复杂化,振动测试时需要布置大量的传感器。传统的集中采集和处理技术将难以胜任海量数据的处理要求,采用无线智能传感器的结构健康监测系统正是应运而生的新方向,而分布式采集和处理是其特点。在无线智能传感网络拓扑结构中采用分布式算法求解结构整体振型,利用随机子空间法识别各子结构模态,结合粒子群优化算法调整子振型获取结构整体振型。通过混凝土钢管拱桥模型试验验证了分布式算法的可行性,并利用模态置信度(MAC)对比分析了由分布式模态识别方法和集中式模态识别方法得到的结果,结果表明两种算法吻合较好。
Structural modal parameter identification is the basic task of structural health monitoring system. With the increasingly large-scale engineering structure and complexity, the vibration test requires the deployment of a large number of sensors. The traditional centralized acquisition and processing technology will be difficult to meet the massive data processing requirements, the use of wireless intelligent sensor structure health monitoring system is the new direction came into being, and distributed acquisition and processing is its characteristics. In the topology structure of wireless intelligent sensor network, the distributed algorithm is used to solve the overall vibration mode of the structure, and the stochastic subspace method is used to identify the modal of each substructure. The particle swarm optimization algorithm is used to adjust the mode shape of vibration to obtain the overall mode shape of the structure. The feasibility of the distributed algorithm is verified by the model test of the concrete-filled steel tube arch bridge. The results obtained by the distributed modal recognition method and the centralized modal recognition method are compared and analyzed using the modal confidence (MAC). The results show that the two algorithms Good agreement.