Local-global damage identification approach using hybrid network of self-powered sensors
This study presents a local-global damage identification approach for structural health monitoring(SHM).The proposed system is based on fusing data from strains and acceleration sensors to detect both local damage local damage events,such as cracking,and global damages,i.e.,bolt loosening.The developed hybrid sensing system is verified for two structures: an aluminium plate and steel frame under cyclic loadings.First,numerical and experimental studies are conducted on the plate with bolted connections to verify the method.Piezoelectric ceramic Lead Zirconate Titanate(PZT)ceramic discs and PZT-5H bimorph accelerometers are placed on the surface of the plate to measure the voltage changes due to damage progression.Thereafter,a more complicated case of a steel frame under cyclic loading is studied.The strain and acceleration time histories are obtained from the finite element(FE)model.Damage indicator features are defined by fitting a Gaussian mixture model(GMM)to the sensors output histograms.
Structural health monitoring hybrid network of sensors bolted connection cracking finite element method
H.Hasni N.Lajnef A.H.Alavi K.Aono S.Chakrabartty F.Faridazar
Department of Civil and Environmental Engineering,Michigan State University,East Lansing,MI 48824,US Department of Civil and Environmental Engineering,University of Missouri,Columbia,MO 65211,USA Department of Computer Science & Engineering,Washington University,Saint Louis,MO 63130,USA Turner-Fairbank Highway Research Center,FHWA,McLean,VA 22101,USA
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
2903-2910
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）