OPERATIONAL MODAL ANALYSIS AND STRUCTURAL HEALTH MONITORING WITH SPARSE SENSOR ARRAYS
A primary challenge to implementing structural health monitoring techniques on civil infrastructure is the differentiation of effects of environmental variables on the behaviour of structures from other causes of structural change. When using dynamic response data from continuous measurements over long periods, advanced procedures for automated operational modal analysis need to be applied. Operational modal analysis techniques have advanced tremendously in the last decade and it is now possible to implement automated procedures to recover modal parameters that can then be tracked, also automatically, to identify anomalous structural performance. An application of covariance-driven stochastic subspace identification together with a fuzzy clustering algorithm has been used to extract parameters indicative of structural state for some example structures. The approach benefits from the lack of need for mode shape information and thus is applicable to structures monitored with spatially sparse sensor grids. The paper described some very recent experience with automated modal parameter extraction and then application of the fuzzy clustering procedure to a benchmark data set (224). The method is shown to provide very encouraging results.
J.M.W.Brownjohn P.Carden
Vibration Engineering, University of Sheffield UK
国际会议
长沙
英文
3-10
2007-11-19（万方平台首次上网日期，不代表论文的发表时间）