This paper presents the sensitivity analysis of Hilbert-Huang transform (HHT) basedadaptive magnitude spectrum algorithm (AMSA) identified modal frequencies ofreinforced concrete frame structures in both undamaged and damaged states.Characterized by the a posteriori property, the recently proposed AMSA provides analternative frequency identification approach without resorting to the a prioriinformation about the frequencies to be identified which is needed for other HHTbased identification techniques. Such a property makes AMSA especially appropriatefor frequency identification and damage detection for civil engineering structures, asthe a priori knowledge of the modal frequencies is usually unavailable. To study thesensitivities of AMSA identified modal frequencies, various acceleration signalsgenerated by a series of reinforced concrete (RC) plane frame finite element modelswith different geometric and stiffness properties representing undamaged states areanalyzed. Then the acceleration signals corresponding to progressive damageseverities simulated by degradation in stiffness properties with two different lengthsof damaged regions are investigated. The results also demonstrate the potential ofapplying AMSA in structural health monitoring
This paper presents the sensitivity analysis of Hilbert-Huang transform (HHT) basedadaptive magnitude spectrum algorithm (AMSA) identified modal frequencies ofreinforced concrete frame structures in both undamaged and damaged states.Characterized by the a posteriori property, the recently proposed AMSA provides analternative frequency identification approach without resorting to the a prioriinformation about the frequencies to be identified which is needed for other HHTbased identification techniques. Such a property makes AMSA especially appropriatefor frequency identification and damage detection for civil engineering structures, asthe a priori knowledge of the modal frequencies is usually unavailable. To study thesensitivities of AMSA identified modal frequencies, various acceleration signalsgenerated by a series of reinforced concrete (RC) plane frame finite element modelswith different geometric and stiffness properties representing undamaged states areanalyzed. Then the acceleration signals corresponding to progressive damageseverities simulated by degradation in stiffness properties with two different lengthsof damaged regions are investigated. The results also demonstrate the potential ofapplying AMSA in structural health monitoring