The structural health monitoring system with electromechanical impedance technique is studied numerically and experimentally in this article. A three-dimensional numerical model is developed to account for the electromechanical coupling effect between the structures and the piezoelectric ceramic lead zirconate titanate transducers, and it is verified by the experimental results. The proposed numerical model and experimental method are employed to analyze piezoelectric ceramic lead zirconate titanate impedance signature of the plate with transverse crack. The modal superposition is employed to determine the harmonic response analysis frequency range. The influences of the mesh density, the dielectric constants of piezoelectric ceramic lead zirconate titanates, and the positions of piezoelectric ceramic lead zirconate titanates are considered. The effects of the length of crack and the structural damping on the piezoelectric ceramic lead zirconate titanate impedance signatures are discussed. Based on this model, electromechanical impedance signatures can be used to identify cracks in a plate specimen. The value of the harmonic response peaks is seriously affected by the material parameters of piezoelectric ceramic lead zirconate titanate and the constant damping ratio. The resonant frequency is greatly influenced by the mesh sizes and the length of cracks.
AiDZhuHLuoHet al. (2014) An effective electromechanical impedance technique for steel structural health monitoring. Construction and Building Materials73: 97–104.
2.
AnnamdasVGMSohCK (2007) Three-dimensional electromechanical impedance model. I: formulation of directional sum impedance. Journal of Aerospace Engineering20(1): 53–62.
3.
AnnamdasVGMYangYSohC (2007) Influence of loading on the electromechanical admittance of piezoceramic transducers. Smart Materials and Structures16(5): 1888.
4.
BhallaSSohCK (2004) Structural health monitoring by piezo-impedance transducers. I: modeling. Journal of Aerospace Engineering17(4): 154–165.
5.
GiurgiutiuVZagraiA (2001) Electro-mechanical impedance method for crack detection in metallic plates. Journal of Intelligent Material Systems and Structures12(10): 709–718.
6.
GiurgiutiuVZagraiABaoJ (2004) Damage identification in aging aircraft structures with piezoelectric wafer active sensors. Journal of Intelligent Material Systems and Structures15(9): 673–687.
7.
HuYYangY (2007) Wave propagation modeling of the PZT sensing region for structural health monitoring. Smart Materials and Structures16(16): 706.
8.
KhatirSBenaissaBRobertoCet al. (2018a) Damage detection in CFRP composite beams based on vibration analysis using proper orthogonal decomposition method with radial basis functions and cuckoo search algorithm. Composite Structures187: 344–353.
9.
KhatirSDekemeleKLoccufierMet al. (2018b) Crack identification method in beam-like structures using changes in experimentally measured frequencies and particle swarm optimization. Comptes Rendus Mécanique346: 110–120.
10.
LiJLuoZLinLet al. (2012) Quantitative health monitoring of fatigue crack initiation and propagation in aluminium specimen based on electromechanical impedance technique. Insight—Non-Destructive Testing and Condition Monitoring54(5): 267–271.
11.
LiangCSunFPRogersCA (1994) Coupled electro-mechanical analysis of adaptive material system: determination of the actuator power consumption and system energy transfer. Journal of Intelligent Material Systems and Structures5: 12–20.
12.
LiangCSunFPRogersCA (1996) Electromechanical impedance modeling of active material systems. Smart Materials and Structures5(2): 171.
13.
LimYYSohCK (2012) Effect of varying axial load under fixed boundary condition on admittance signatures of electromechanical impedance technique. Journal of Intelligent Material Systems and Structures23(7): 815–826.
14.
MoharanaSBhallaS (2014) A continuum based modelling approach for adhesively bonded piezo-transducers for EMI technique. International Journal of Solids and Structures51(6): 1299–1310.
15.
MulliganKRQuaegebeurNOstiguyPCet al. (2013) Comparison of metrics to monitor and compensate for piezoceramic debonding in structural health monitoring. Structural Health Monitoring12(2): 153–168.
16.
NaWS (2017) Distinguishing crack damage from debonding damage of glass fiber reinforced polymer plate using a piezoelectric transducer based nondestructive testing method. Composite Structures159: 517–527.
17.
ParkG (2000) Impedance-based health monitoring of civil structural components. Journal of Infrastructure Systems6(4): 153–160.
18.
ParkGCudneyHHInmanDJ (2010) Feasibility of using impedance-based damage assessment for pipeline structures. Earthquake Engineering & Structural Dynamics30(10): 1463–1474.
19.
ParkSAhmadSYunCBet al. (2006) Multiple crack detection of concrete structures using impedance-based structural health monitoring techniques. Experimental Mechanics46(5): 609–618.
20.
SamirKMagd AbdelW (2019) Fast simulations for solving fracture mechanics inverse problems using POD-RBF XIGA and Jaya algorithm. Engineering Fracture Mechanics205: 285–300.
21.
SamirKIdirBTawfiqKet al. (2017) Multiple damage detection in composite beams using particle swarm optimization and genetic algorithm. Mechanika23: 514–521.
22.
SamirTBouazzouniAKhatirSet al. (2018) Damage assessment in structures using combination of a modified Cornwell indicator and genetic algorithm. Engineering Structures177: 421–430.
23.
SunFPLiangCRogersCA (1995) Truss structure integrity identification using PZT sensor-actuator. Journal of Intelligent Material Systems & Structures6(1): 134–139.
24.
TalakokulaVSureshBAshokG (2018) Monitoring early hydration of reinforced concrete structures using structural parameters identified by piezo sensors via electromechanical impedance technique. Mechanical Systems and Signal Processing99: 129–141.
25.
TsengKKHNaiduASK (2002) Non-parametric damage detection and characterization using smart piezoceramic material. Smart Materials and Structures11(3): 317.
26.
WangDSongHZhuH (2014) Embedded 3d electromechanical impedance model for strength monitoring of concrete using a PZT transducer. Smart Materials and Structures23(11): 115019.
27.
XingKJFritzenCP (2007) Monitoring of growing fatigue damage using the E/M impedance method. Key Engineering Materials347: 153–158.
28.
XuJYangYSohCK (2004) Electromechanical impedance-based structural health monitoring with evolutionary programming. Journal of Aerospace Engineering17(4): 182–193.
29.
YanWChenWQLimCWet al. (2008) Application of EMI technique for crack detection in continuous beams adhesively bonded with multiple piezoelectric patches. Mechanics of Composite Materials and Structures15(1): 1–11.
30.
YangYHuY (2008) Electromechanical impedance modeling of PZT transducers for health monitoring of cylindrical shell structures. Smart Materials and Structures17(1): 015005.
31.
YangYMiaoA (2008) Effect of external vibration on PZT impedance signature of plate structure. Smart Materials V: 294–299.
32.
YangYMiaoA (2010) Two-dimensional modeling of the effects of external vibration on the PZT impedance signature. Smart Materials and Structures19(6): 065031.
33.
YangYHuYYongL (2008a) Sensitivity of PZT impedance sensors for damage detection of concrete structures. Sensors8(1): 327–346.
34.
YangYLimYYKiong SohC (2008b) Practical issues related to the application of the electromechanical impedance technique in the structural health monitoring of civil structures: I. Experiment. Smart Materials and Structures17(3): 035008.
35.
YangYXuJSohCK (2005) Generic impedance-based model for structure-piezoceramic interacting system. Journal of Aerospace Engineering18(2): 93–101.
36.
Yun-LaiZNunoMMRuiSet al. (2017) Structural damage detection using transmissibility together with hierarchical clustering analysis and similarity measure. Structural Health Monitoring16(6): 711–731.
37.
Yun-LaiZNunoMMMMagd AbdelW (2018) Damage detection using transmissibility compressed by principal component analysis enhanced with distance measure. Journal of Vibration and Control24(10): 2001–2019.
38.
ZhouSWLiangCRogersCA (1995) Integration and design of piezoceramic elements in intelligent structures. Journal of Intelligent Material Systems and Structures8(4): 363–373.
39.
ZhouSWLiangCRogersCA (1996) An impedance-based system modeling approach for induced strain actuator-driven structures. Journal of Vibration & Acoustics118(3): 323–331.
40.
ZuoCFengXZhouJ (2013) A three-dimensional model of the effective electromechanical impedance for an embedded PZT transducer. Mathematical Problems in Engineering2013(11): 708–717.
