Damage Identification in Active Plates with Indices Based on Gaussian Confidence Ellipses Obtained of the Electromechanical Admittance
Source abstract
Abstract
Structural health monitoring (SHM) is an important area of study in the diagnosis of structural failures. Through SHM, structures can be diagnosed by electromechanical impedance (EMI) technique to detect changes in operative state. The signals of EMI obtained from piezoelectric transducers (PZT) are processed to quantify and classify damage severities by means of indices. These indices are studied and analyzed to recognize damage patterns in the electrical signals emitted by PZTs. In this research, an experimental analysis is carried out to identify structural damage in active plates with indices based on Gaussian confidence ellipses of the EM admittance. Three experimental tests are performed to assess the feasibility of the indices in the damage identification. A damage metric is depicted in each test together with the conductance (G) and susceptance (B), which were analyzed from different points of view. A probabilistic procedure is established to estimate Gaussian ellipses from a structure without damage with the aim to establish an alert baseline before that damage is induced. The results show that using the proposed methodology, the damage identification is a feasible procedure in the proposed case studies. Therefore, the presented analysis can be extrapolated to other applications to identify damage and so to test the feasibility of the methodology in other context.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Ultrasonics and Acoustic Wave Propagation · Non-Destructive Testing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (40)
Show source-provided references
1. Giurgiutiu, V.: Structural Health Monitoring with Piezoelectric Wafer Active Sensors. Academic Press, Amsterdam/Boston (2008)
2. Xu, Y.G., Liu, G.R.: A modified electro-mechanical impedance model of piezoelectric actuator-sensors for debonding detection of composite patches. J. Intell. Mater. Syst. Struct. 13(6), 389–396 (2002). doi: 10.1177/10453890276169673310.1177/104538902761696733 ↗
3. Giurgiutiu, V., Rogers, C.A.: Electro-mechanical (E/M) impedance method for structural health monitoring and non-destructive evaluation. Struct. Health Monit. 1997, 18–20 (1997)
4. Annamdas, V.G.M., Soh, C.K.: Application of electromechanical impedance technique for engineering structures: review and future issues. J. Intell. Mater. Syst. Struct. 21(1), 41–59 (2010). doi: 10.1177/1045389X0935281610.1177/1045389X09352816 ↗
5. Gresil, M., Yu, L., Giurgiutiu, V., Sutton, M.: Predictive modeling of electromechanical impedance spectroscopy for composite materials. Struct. Health Monit. 11(6), 671–683 (2012). doi: 10.1177/147592171245195410.1177/1475921712451954 ↗
6. Giurgiutiu, V., Reynolds, A., Rogers, C.A.: Experimental investigation of E/M impedance health monitoring for spot- welded structural joints. J. Intell. Mater. Syst. Struct. 10(9), 802–812 (1999). doi: 10.1106/N0J5-6UJ2-WlGV-Q8MC10.1106/N0J5-6UJ2-WlGV-Q8MC ↗
7. Liu, S.C., Tomizuka, M., Ulsoy, G.: Strategic issues in sensors and smart structures. Struct. Control Health Monit. 13(6), 946–957 (2006). doi: 10.1002/stc.8810.1002/stc.88 ↗
8. Pavelko, V., Ozolinsh, I. Kuznetsov, S., Pavelko, I.: Structural health monitoring of aircraft structure by method of electromechanical impedance. In: Proceedings of the 6th NDT in Progress 2011 International Workshop of NDT Experts, Prague, Czech Republic, October 2011
9. Liang, C., Sun, F.P., Rogers, C.A.: Coupled electro-mechanical analysis of adaptive material systems: determination of the actuator power consumption and system energy transfer. J. Intell. Mater. Syst. Struct. 5(1), 12–20 (1994). doi: 10.1177/1045389X940050010210.1177/1045389X9400500102 ↗
10. Liang, C., Sun, F., Rogers, C.A.: Electro-mechanical impedance modeling of active material systems. Smart Mater. Struct. 5(2), 171 (1996). doi: 10.1088/0964-1726/5/2/00610.1088/0964-1726/5/2/006 ↗
11. Adams, D.E.: Health monitoring of structural materials and components: methods with application. Wiley, Chichester (2007)10.1002/9780470511589 ↗
12. Naidu A.S.K.: Structural damage identification with admittance signatures of smart PZT transducers. PhD Thesis, Nanyang Technological University, Singapore (2004)
13. Rosiek, M., Martowicz, A., Uhl, T., Stępiński, T., Łukomski, T.: Electromechanical impedance method for damage detection in mechanical structures. In: Proceedings of 11th IMEKO TC, vol. 10, pp. 18–20 (2010)
14. Tinoco, H.A., Marulanda, D.J.: A new index for damage identification in active beams with electromechanical impedance technique (EMI) approach to SHM. In: Proceedings of II International Conference on Advanced Mechatronics, Design, and Manufacturing Technology (AMDM 2014), pp. 1–6, Bogota, Colombia (2014). doi: 10.13140/2.1.5000.1920
15. Ai, D., Zhu, H., Luo, H., Yang, J.: An effective electromechanical impedance technique for steel structural health monitoring. Constr. Build. Mater. 73, 97–104 (2014). doi: 10.1016/j.conbuildmat.2014.09.02910.1016/j.conbuildmat.2014.09.029 ↗
16. Moharana, S., Bhalla, S.: Influence of adhesive bond layer on power and energy transduction efficiency of piezo-impedance transducer. J. Intell. Mater. Syst. Struct. 26(3), 247–259 (2014). doi: 10.1177/1045389X1452385810.1177/1045389X14523858 ↗
17. Pavelko, V., Kuznetsov, S., Ozolinsh, I., Pavelko, I.: Some applications of electromechanical impedance technology for SHM. In: Proceedings of 11th European Conference on Non-Destructive Testing, Prague, Czech Republic (2014)
18. Giurgiutiu, V., Kropas-Hughes, C.V.: Comparative study of neural network damage detection from a statistical set of electro-mechanical impedance spectra. In: Proceedings of NDE for Health Monitoring and Diagnostics, pp. 108–109, International Society for Optics and Photonics (2003)10.1117/12.484050 ↗
19. Giurgiutiu, V., Zagrai, A.: Damage detection in thin plates and aerospace structures with the electro-mechanical impedance method. Struct. Health Monit. 4(2), 99–118 (2005)10.1177/1475921705049752 ↗
20. Agilent Technologies.: Impedance measurement handbook. Agilent Technologies, Palo Alto (2003). http://cp.literature.agilent.com/litweb/pdf/5950-3000.pdf , 25 May 2014
21. Agilent Technologies.: A data sheet of Agilent E4980A precision LCR meter, Agilent Technologies, USA (2008). http://cp.literature.agilent.com/litweb/pdf/5989-4435EN.pdf , 23 May 2014
22. HP LF 4192A: Impedance Analyzer Operation Manual HP LF 4192A. Hewlett Packard, Tokyo (1996)
23. Pearis, D.M., Grisso, B.L., Margasahayam, R.N., Page, K.R., Inman, D.J.: Impedance-based health monitoring of space shuttle ground structures. In: Proceedings of SPIE, vol. 5394, pp. 99–107, San Diego, CA, USA (2004a)10.1117/12.539771 ↗
24. Peairs, D.M., Park, G., Inman, D.J.: Improving accessibility of the impedance-based structural health monitoring method. J. Intell. Mater. Syst. Struct. 15(2), 129–139 (2004b)10.1177/1045389X04039914 ↗
25. Analog Devices: Datasheet AD5933. Analog Devices (2014). http://www.analog.com/static/imported-files/data_sheets/AD5933.pdf
26. Berney, H., O’Riordan, J.J.: Impedance measurement monitors blood coagulation. Analog Dialogue. 42(3), 42–08 (2008)
27. Ferreira, J., Seoane, F., Ansede, A., Bragos, R.: AD5933-based spectrometer for electrical bioimpedance applications. J. Phys. 224(1), 012011 (2010)
28. Watkins, A.J., Kitcher, C.: Electrical Installation and Calculations, 6th edn. Elsevier, Jordan Hill (2006)10.4324/9780080460017 ↗
29. Tinoco, H.A., Serpa, A.L.: Voltage relations for debonding detection of piezoelectric sensors with segmented electrode. Mech. Syst. Signal Process. 31, 258–267 (2012). doi: 10.1016/j.ymssp.2012.03.01810.1016/j.ymssp.2012.03.018 ↗
30. Sirohi, J., Chopra, I.: Fundamental understanding of piezoelectric strain sensors. J. Intell. Mater. Syst. Struct. 11(4), 246–257 (2000). doi: 10.1106/8BFB-GC8P-XQ47-YCQ010.1106/8BFB-GC8P-XQ47-YCQ0 ↗
31. Tinoco, H.A., Serpa, A.L.: Bonding influence in the electromechanical (EM) admittance of piezoelectric sensors bonded to structures based on EMI technique. In: Proceedings of the 14th International Symposium on Dynamic Problems of Mechanics (DINAME XIV), pp. 335–344, Maresias, Brazil (2011). doi: 10.13140/2.1.5150.4967
32. Fu, Z.F., He, J.: Modal Analysis. Butterworth-Heinemann, Oxford (2011)
33. Ribeiro, M.I.: Gaussian probability density functions: properties and error characterization, Instituto Superior Técnico, Lisboa, Portugal, Tech. Rep, 1049-00 (2004)
34. Piezoelectric plate: Datasheet of piezoelectric sound components. Sparkfun electronics (2014). https://www.sparkfun.com/datasheets/Sensors/Flex/p37e.pdf
35. Pereira, D.A., Serpa, A.L.: Bank of H $$\infty $$ ∞ filters for sensor fault isolation in active controlled flexible structures. Mech. Syst. Signal Process. 60, 678–694 (2015). doi: 10.1016/j.ymssp.2015.01.03610.1016/j.ymssp.2015.01.036 ↗
36. Tseng, K.K., Naidu, A.S.K.: Non-parametric damage detection and characterization using smart piezoceramic material. Smart Mater. Struct. 11(3), 317 (2002)10.1088/0964-1726/11/3/301 ↗
37. Park, G., Sohn, H., Farrar, C.R., Inman, D.J.: Overview of piezoelectric impedance-based health monitoring and path forward. Shock Vib. Dig. 35(6), 451–464 (2003)10.1177/05831024030356001 ↗
38. Tawie, R., Lee, H.K.: Monitoring the strength development in concrete by EMI sensing technique. Constr. Build. Mater. 24(8), 1746–1753 (2010)10.1016/j.conbuildmat.2010.02.014 ↗
39. Overly, T.G., Park, G., Farinholt, K.M., Farrar, C.R.: Piezoelectric active-sensor diagnostics and validation using instantaneous baseline data. Sens. J. IEEE 9(10), 1414–1421 (2009)10.1109/JSEN.2009.2018351 ↗
40. Lilliefors, H.W.: On the Kolmogorov–Smirnov test for normality with mean and variance unknown. J. Am. Stat. Assoc. 62(318), 399–402 (1967)10.1080/01621459.1967.10482916 ↗