Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Harmonic Forcing of a Two-Segment Timoshenko Beam Read chapter Read first chapter

2019 | OriginalPaper | Chapter

17. Damage Detection Integrating ISHM and LWSHM Techniques

Authors : Lucas Altamirando de Andrade da Rocha, Roberto Mendes Finzi Neto, Valder Steffen Jr.

Published in: Special Topics in Structural Dynamics, Volume 5

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Currently, structural health monitoring (SHM) represents one of the main areas of interest in engineering, being applied both for maintenance cost reduction and operational safety. In this contribution, a hybrid SHM system is proposed as a complementary methodology for the damage diagnosis of a typical aeronautical material panel (aeronautical aluminum plate 2024-T3), through the integration of two SHM techniques, namely the electromechanical impedance technique and the Lamb waves. For the diagnosis, a damage metric extracted from the impedance signatures of the structure was used in conjunction with an algorithm for localization of the damage by considering Lamb waves. In addition, temperature compensation techniques were systematically employed to avoid false diagnoses and a statistical model was developed to establish threshold indices according to a predefined confidence level. Thus, this work presents an evaluation of the sensitivity of the proposed techniques, considering a success rate. Finally, the results show the great potential for the integration of the two techniques together with statistical approach.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Probability Distribution of von Mises Stress in the Presence of Pre-load
next chapter Structural Health Monitoring of Additively Manufactured Parts Using Fiber Bragg Gratings
Literature
1.
Abbate, A., Koay, J., Frankel, J., Schroeder, S.C.N., Das, P.: Signal detection and noise suppression using a wavelet transform signal processor: application to ultrasonic flaw detection. IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 44, 14–26 (1997)CrossRef
2.
An, Y.K., Sohn, H.: Integrated impedance and guided wave based damage detection. Mech. Syst. Signal Process. 28, 50–62 (2012)CrossRef
3.
Annamdas, V.G.M., Ian, L.S., Pang, H.L.J., Soh, C.K.: Monitoring of fatigue in welded beams using piezoelectric wafer based impedance technique. J. Nondestruct. Eval. 33(1), 124–140 (2014)
4.
Annamdas, V.G.M., Sohn, C.K.: Application of electromechanical impedance technique for engineering structures: review and future issues. J. Intell. Mater. Sys. Struct. 21(1), 41–59 (2010)CrossRef
5.
Baptista, F.G., Budoya, D.E., Almeida, V.A.D., Ulson, J.A.C.: An experimental study on the effect of temperature on piezoelectric sensors for impedance-based structural health monitoring. Sensors. 14, 1208–1227 (2014)CrossRef
6.
Bendat, J.S, Piersol, A.G.: Random Data – Analysis and Measurement Procedures. 4th ed. ISBN: 978–0470248775. Wiley, New York (2000)
7.
Cavalini Jr., A.A., Oliveira, D.D., Rabelo, D.S., Finzi Neto, R.M., Steffen Jr., V.: Fault detection in a rotating shaft by using the electromechanical impedance method and a temperature compensation approach. In: Proceedings of the XXXVI Ibero-Latin American congress on computational methods in engineering (CILAMCE 2015), Rio de Janeiro (2015)
8.
Cesnik, C.: Review of guided-wave structural health monitoring. Shock Vib. Dig. 39(2), 91–114 (2007)CrossRef
9.
Dao, P.B., Staszewski, W.J.: Cointegration approach for temperature effect compensation in lamb-wave-based damage detection. Smart Mater. Struct. 22, 095002 (2013)CrossRef
10.
Davis, G.D., Rich, M.J., Drzal, L.T.: Monitoring moisture uptake and delamination in CFRP reinforced concrete structures with electrochemical impedance sensors. J. Nondestruct. Eval. 23(1), 1–9 (2004)CrossRef
11.
Debnath, L.: Wavelet Transforms & Their Applications. Birkhäuser Press, Boston (2001)MATH
12.
Farrar, C.R., Lieven, N.A.J., Benent, M.T.: An Introduction to Damage Prognosis. In: Damage Prognosis for Aerospace, Civil and Mechanical System, p. 449. Wyle, Inglaterra (2005)
13.
Finzi Neto, R.M.: A Low-cost electromechanical impedance-based SHM architecture for multiplexed piezoceramic actuators. J. Struct. Heal. Monit. 10(4), 391--402 (2010)CrossRef
14.
Harley, J., Moura, J.: Scale transform signal processing for optimal ultrasonic temperature compensation. IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 59(10), 2226–2236 (2012)CrossRef
15.
Huynh, D., He, J., Tran, D.: Damage location vector: a non-destructive structural damage detection technique. Comput. Struct. 83(28--30), 2353--2367 (2005)CrossRef
16.
Incropera, F.P, Dewitt, D.P., Bergamn, T.L.: Fundamentals of Heat and Mass Transfer. Wiley edition 6, p. 272–275, California (2006)
17.
Kijanka, P., Radecki, R., Packo, P.W., Staszewski, J., Uhl, T.: GPU-based local interaction simulation approach for simplified temperature effect modelling in Lamb wave propagation used for damage detection. Smart Mater. Struct. 22(3), 035014 (2013)CrossRef
18.
Koo, K.Y., Park, S., Lee, J.J., Yun, C.B.: Automated impedance-based structural health monitoring incorporating effective frequency shift for compensating temperature effects. J. Intell. Mater. Syst. Struct. 20(4), 367–377 (2009)CrossRef
19.
Krishnamurthy, K., Lalande, F.; Rogers, C. A.: Effects of temperature on the electrical impedance of piezoelectric sensors. In: Proceedings of SPIE 2717, Smart Structures and Materials 1996: Smart Structures and Integrated Systems, 302 (mai. 1996); San Diego (1996). doi: https://​doi.​org/​10.​1117/​12.​239033
20.
Lemistre, M., Gouyon, R., Kaczmarek, H., Balageas, D.: Damage localization in composite plates using wavelet transform processing on lamb wave signals, Second International Workshop on Structural Health Monitoring, Stanford (1999)
21.
Liang, C., Sun, F.P., Rogers, C.A.: Coupled electromechanical analysis of adaptive material system – determination of actuator power consumption and system energy transfer. J. Intell. Mater. Syst. Struct. 5, 21–20 (1994)
22.
Lind, R., Kyle, S., Brenner, M.: Wavelet analysis to characterize non-linearities and predict limit cycles of an aeroelastic system. Mech. Syst. Signal Process. 15, 337–356 (2001)CrossRef
23.
Liu, G., Xiao, Y., Zhang, H., Ren, G.: Baseline signal reconstruction for temperature compensation in Lamb wave based, damage detection. Sensors. 16(8), 1273 (2016)CrossRef
24.
Lu, Y., Ye, L., Wang, D., Zhong, Z., Herszberg, I.: Damage detection in a large composite panel of five stiffeners using lamb wave signals. Mater. Forum. 33, 16 (2009)
25.
Marzani, A., Salamone, S.: Numerical prediction and experimental verification of temperature effect on plate waves generated and received by piezoceramic sensors. Mech. Syst. Signal Process. 30, 204–217 (2012)CrossRef
26.
Monnier, T.: Lamb waves-based impact damage monitoring of a stiffened aircraft panel using piezoelectric transducers. J. Intell. Mater. Syst. Struct. 17(5), 411–421 (2006)CrossRef
27.
Moura Jr., J.R.V.: Uma Contribuição aos Sistemas de Monitoramento de Integridade Estrutural Aplicada a Estruturas Aeronáuticas e Espaciais. 264f. Tese de Doutorado – Universidade Federal de Uberlândia, Uberlândia (2008)
28.
Moura Jr., J.R.V., Steffen Jr., V.: Impedance-based health monitoring for aeronautic structures using statistical meta-modeling. J. Intell. Mater. Syst. Struct. 17(11), 1023–1036 (2006)CrossRef
29.
Overly, T., Jacobs, L.D., Farinholt, K., Park, G., Farrar, C.R., Flynn, E., Todd, M.D.: Developing an integrated software solution for active-sensing SHM. Smart Struct. Syst. 5(4), 457–468 (2009)CrossRef
30.
Palomino, L.V.; Steffen Jr., V.: Damage metrics associated with electromechanical impedance technique for SHM applied to a riveted structure. In: Proceedings of the 20th International Congress of Mechanical Engineering – COBEM2009. Porto Alegre (2009)
31.
Palomino, L.V., Tsuruta, K.M., Moura Jr., J.R.V., Rade, D.A., Steffen Jr., V., Inman, D.J.: Evaluation of the influence of sensor geometry and physical parameters on impedance-based structural health monitoring. Shock. Vib. 19, 811–823 (2012)CrossRef
32.
Palomino, L.V., Steffen Jr., V., Finzi Neto, R.M.: Probabilistic neural network and fuzzy cluster analysis methods applied to impedance-based SHM for damage classification. Shock. Vib, vol. Article ID 401942 1--12 (2014)
33.
Park, C.Y.: Damage index comparison for a composite stiffened panel using lamb wave. Adv. Mater. Res. 26–28, 1265–1268 (2007)CrossRef
34.
Park, G., Cudney, H., Inman, D.J.: Based structural health monitoring using a miniaturized impedance measuring chip for corrosion detection. Am. Soc. Nondestruct. Test. Pesqui. Nondestruct. Eval. 18, 139–150 (2007)
35.
Park, G., Cudney, H., Inman, D.J.: Feasibility of using impedance-based damage assessment for pipeline systems. Earthq. Eng. Struct. Dyn. J. 30(10), 1463–1474 (2001)CrossRef
36.
Park, G., Inman, D.J.: Smart bolts: an example of self-healing structures. Smart Mater. Bouletin. 5--8 (2001)
37.
Park, G., Kabeya, K., Cudney, H.H., Inman, D.J.: Impedance-based structural health monitoring for temperature varying applications. JSME Int. J. 42(2), 249–258 (1999)CrossRef
38.
Park, S., Lee, J.-J., Yun, C.-B., Inman, D.J.: Electro-mechanical impedance-based wireless structural health monitoring using PCA-data compression and k-means clustering algorithms monitoring and path forward. J. Intell. Mater. Syst. Struct. 19, 509–520 (2008)CrossRef
39.
Rabelo, D. S.; Finzi Neto, R. M.; Steffen Jr., V.: Impedance-based Structural Health Monitoring incorporating compensation of temperature variation effects. In: Proceedings of the 23rd ABCM International Congress of Mechanical Engineering. Rio de Janeiro (2015b)
40.
Rabelo, D.S, Guimarães, C.G., Cavalini Jr., A.A, Steffen Jr., V.: A comparative study of temperature compensation techniques for impedance-based structural health monitoring systems In: Proceedings of the 1st Workshop in Industrial Mathematics, Modelling and Optimization. Catalão (2015c)
41.
Rabelo, D.S, Steffen Jr., V, Finzi Neto, R.M, Lacerda, H.B.: Impedance-based structural health monitoring and statistical method for threshold-level determination applied to 2024-T3 aluminum panels under varying temperature, Structural Health Monitoring, Online First, (2016). doi:https://​doi.​org/​10.​1177/​1475921716671038​ CrossRef
42.
Raghavan, A., Cesnik, C.E.S.: Lamb-Wave Based Structural Health Monitoring. Damage Prognosis for Aerospace, Civil and Mechanical System, Wiley, Cap. 11, pp. 235–274 (2005)CrossRef
43.
Raju, V.: Implementing Impedance-based Health Monitoring. Dissertation, Virginia Tech (1997)
44.
Ramadas, C., Balasubramaniam, K., Joshi, M., Krishnamurthy, C.V.: Interaction of Lamb mode (A0) with Structural Discontinuity and Generation of “Turning modes” in a T-joint. Elsevier. (2011)CrossRef
45.
Rizzo, P., Di Scalea, F.L.: Wavelet-based feature extraction for automatic defect classification in strands by ultrasonic structural monitoring. Smart Struct. Syst. 2(3), 253–274 (2006)CrossRef
46.
Rocha, L.A.A, Rabelo, D.S., Steffen Jr., V.: Identification of Damage in Structures with Rivets using Impedance techniques and controls of Lamb waves, CONEM 2014 no. 0503 (2014)
47.
48.
Salas, K.I, Cesnik, C.E.S.: Design and Characterization of the CLoVER transducer for structural health monitoring. In: Proceedings of the 15th SPIE Symposium on Smart Structures and Materials & Nondestructive Testing and Health Monitoring, March 2008, Paper #6935–11, San Diego (2008)
49.
Sohn, H.: Statistical Pattern Recognition Paradigm Applied to Defect Detection in Composite Plates in Damage Prognosis – for Aerospace, Civil and Mechanical Systems. Wiley, Hoboken (2005)
50.
Sorohan, S., Constantin, N., Gavan, M., Anghel, V.: Extraction of dispersion curves for waves propagating in free complex waveguides by standard finite element codes. Ultrasonics. 51, 503--515 (2011)CrossRef
51.
Su, Z., Ye, L., Lu, Y.: Guided lamb waves for identification of damage in composite structures: a review. J. Sound Vib. 295, 753–780 (2006)CrossRef
52.
Su, Z., Ye, L.: Identification of Damage Using Lamb Waves from Fundamentals to Applications, Springer, e-ISBN:978-1-84882-784-4, (2009)CrossRef
53.
Su, Z., Ye, L.: Lamb wave-based quantitative identification of delamination in CF/EP composite structures using artificial neural algorithm. Compos. Struct. 66, 627--637 (2004)CrossRef
54.
Sun, F.P., Chaudhry, Z., Liang, C., Rogers, C.A.: Truss structure integrity identification using PZT sensor–actuator. J. Intell. Mater. Syst. Struct. 6, 134–139 (1995)CrossRef
55.
Wang, C.S, Chang, F.K.: Diagnosis of Impact Damage in Composite Structures with built-in piezoelectric networks. In: Proceedings of SPIE, vol. 3990, pp. 13–19 (2000)
Metadata
Title
Damage Detection Integrating ISHM and LWSHM Techniques
Authors
Lucas Altamirando de Andrade da Rocha
Roberto Mendes Finzi Neto
Valder Steffen Jr.
Copyright Year
2019
Book
Special Topics in Structural Dynamics, Volume 5

Print ISBN: 978-3-319-75389-8

Electronic ISBN: 978-3-319-75390-4

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-75390-4_17

Premium Partners

    Image Credits