Long-term structural health monitoring of an office building based on a recursive stochastic subspaceidentification algorithm

摘要：

　　A novel recursive algorithm was recently developed to enhance the computation efficiency of a stochastic subspace identification(SSI)methodology based on an alternative stabilization diagram.Exemplified by the measurements taken from the two investigated office buildings,it is first demonstrated that merely 1/6 of computation time and 1/5 of computer memory are required with the new recursive algorithm.Such a progress would enable the realization of on-line and almost real-time monitoring for these two steel framed structures.This recursive SSI algorithm is further applied to analyze 20 months of monitoring data and comprehensively assess the environmental effects.It is certified that the root-mean-square(RMS)response can be utilized as an excellent index to represent most of the environmental effects and its variation strongly correlates with that of the modal frequency.

关键词： Stochastic subspace identification Recursive algorithm Alternative stabilization diagram Office building Environmental effect

作者: W.-H.Wu J.-W.Jhou C.-C.Chen G.Lai

作者单位: Department of Construction Engineering,National Yunlin University of Science and Technology,Douliu,Yunlin,Taiwan

会议类型: 国际会议

会议名称: The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)

会议地点: 青岛

会议语种:英文

页码: 3127-3135

在线出版日期: 2018-07-22（万方平台首次上网日期，不代表论文的发表时间）