Vibration-based damage monitoring algorithms for prestress-loss in PSC girder bridges

Among many damage types, prestress-loss in tendon is the major one that should be monitored in its early stage in order to secure the safety of PSC girder bridges. This damage-type obviously change vibration characteristics, but with apparent difference depending on sensing mechanism as well as information analysis. Recently, there have been research efforts to develop wireless smart sensor nodes embedded damage monitoring algorithms for various sensing mechanisms. In this study, vibration-based damage monitoring algorithms which are appropriate for the smart sensor nodes to alarm the occurrence of prestress-loss in PSC girder bridges are presented. Firstly, two sensing mechanisms are considered for vibration characteristics: one is acceleration and the other is electro-mechanical impedance. Also, four acceleration-based algorithms and three impedance-based algorithms are selected to extract features from those signals. Secondly, the performances of those selected methods are evaluated using a large-scaled PSC girder for which a set of acceleration-impedance tests were measured for several prestress-loss scenarios by using both commercial instruments and a wireless smart sensor node.

[1]  M. Saiidi,et al.  Closure of "Prestress Force Effect on Vibration Frequency of Concrete Bridges" , 1996 .

[2]  Bernhard Elsener,et al.  Long-term monitoring of electrically isolated post-tensioning tendons , 2005 .

[3]  Chung Bang Yun,et al.  Identification of prestress-loss in PSC beams using modal information , 2004 .

[4]  Chung Bang Yun,et al.  Multiple Crack Detection of Concrete Structures Using Impedance-based Structural Health Monitoring Techniques , 2006 .

[5]  Gyuhae Park,et al.  Development of an impedance-based wireless sensor node for structural health monitoring , 2007 .

[6]  Won-Bae Na,et al.  Hybrid health monitoring of structural joints using modal parameters and EMI signatures , 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[7]  Jerome P. Lynch,et al.  Embedding damage detection algorithms in a wireless sensing unit for operational power efficiency , 2004 .

[8]  Rune Brincker,et al.  Modal identification of output-only systems using frequency domain decomposition , 2001 .

[9]  Julius S. Bendat,et al.  Engineering Applications of Correlation and Spectral Analysis , 1980 .

[10]  Suresh Bhalla,et al.  Structural impedance based damage diagnosis by piezo‐transducers , 2003 .

[11]  Ayaho Miyamoto,et al.  Behavior of Prestressed Beam Strengthened with External Tendons , 2000 .

[12]  Glauco Feltrin,et al.  Damage Identification Using Modal Data: Experiences on a Prestressed Concrete Bridge , 2005 .

[13]  Billie F. Spencer,et al.  Smart sensing technology: opportunities and challenges , 2004 .

[14]  Craig A. Rogers,et al.  An Impedance Method for Dynamic Analysis of Active Material Systems , 1997 .

[15]  Daniel J. Inman,et al.  IMPEDANCE-BASED HEALTH MONITORING OF CIVIL STRUCTURAL COMPONENTS , 2000 .

[16]  S. S. Law,et al.  Time domain responses of a prestressed beam and prestress identification , 2005 .

[17]  Norris Stubbs,et al.  Damage identification in beam-type structures: frequency-based method vs mode-shape-based method , 2003 .

[18]  G. De Roeck,et al.  Damage detection in bridges using modal curvatures: application to a real damage scenario , 1999 .