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针对大型建筑结构集中处理庞大数据获得结构模态参数的不便性,提出适用于密集布排的传感器网络结构的分布式模态参数识别方法.以混凝土钢管拱桥为实验平台,按不同子结构划分工况,通过随机子空间方法有效地从环境激励下的响应中提取子结构模态参数,结合稳定图进行子结构系统定阶,去除虚假模态.利用粒子群优化算法和平均技术调整子结构振型,获取桥梁结构的整体振型.以模态置信度为判据对比分析该分布式算法和集中式算法的识别结果.结果表明,该方法具有良好的识别效果,可用于不同形式复杂结构的模态振型识别.
Aiming at the inconvenience of large-scale building structure centralized processing of large data to obtain modal parameters of structure, a distributed modal parameter identification method is proposed for sensor network structure of densely-arranged row. With concrete-filled steel tube arch bridge as experimental platform, In this paper, the substructure modal parameters are effectively extracted from the responses under environmental excitation through the stochastic subspace method, and the substructure system is ranked by the stability graph to remove the false modal.Using PSO and averaging techniques to adjust the substructure vibration The modal confidence is taken as the criterion to compare the recognition results of the distributed algorithm and the centralized algorithm.The results show that the proposed method has a good recognition effect and can be used in different forms of complex structures Modal shape recognition.