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Application assessments of concrete piezoelectric smart module in civil engineering

  • Zhang, Nan (School of Civil and Construction Engineering, Oregon State University) ;
  • Su, Huaizhi (State Key Laboratory of Hydrology-Water Resources and Hydropower Engineering, Hohai University)
  • Received : 2016.08.06
  • Accepted : 2017.01.20
  • Published : 2017.05.25

Abstract

Traditional structural dynamic analysis and Structural Health Monitoring (SHM) of large scale concrete civil structures rely on manufactured embedding transducers to obtain structural dynamic properties. However, the embedding of manufactured transducers is very expensive and low efficiency for signal acquisition. In dynamic structural analysis and SHM areas, piezoelectric transducers are more and more popular due to the advantages like quick response, low cost and adaptability to different sizes. In this paper, the applicable feasibility assessment of the designed "artificial" piezoelectric transducers called Concrete Piezoelectric Smart Module (CPSM) in dynamic structural analysis is performed via three major experiments. Experimental Modal Analysis (EMA) based on Ibrahim Time Domain (ITD) Method is applied to experimentally extract modal parameters. Numerical modal analysis by finite element method (FEM) modeling is also performed for comparison. First ten order modal parameters are identified by EMA using CPSMs, PCBs and FEM modeling. Comparisons are made between CPSMs and PCBs, between FEM and CPSMs extracted modal parameters. Results show that Power Spectral Density by CPSMs and PCBs are similar, CPSMs acquired signal amplitudes can be used to predict concrete compressive strength. Modal parameter (natural frequencies) identified from CPSMs acquired signal and PCBs acquired signal are different in a very small range (~3%), and extracted natural frequencies from CPSMs acquired signal and FEM results are in an allowable small range (~5%) as well. Therefore, CPSMs are applicable for signal acquisition of dynamic responses and can be used in dynamic modal analysis, structural health monitoring and related areas.

Keywords

References

  1. Aktan, A.E., Helmicki, A.J. and Hunt, V.J. (1998), "Issues in health monitoring for intelligent infrastructure", Smart Mater. Struct., 7(5), 674. https://doi.org/10.1088/0964-1726/7/5/011
  2. Achenbach, J. (2012), Wave Propagation in Elastic Solids (Vol. 16). Elsevier, Amsterdam, Netherlands.
  3. Bahei-El-Din, Y.A., Saleh, A.M., and Talaat, M.M. (2003), "Electro-mechanical impedance technique for health monitoring of concrete structures", J. Eng. Appl. Sci. Cairo, 50(6), 1111-1124.
  4. Bernard, O., Ulm, F.J. and Lemarchand, E. (2003), "A multiscale micromechanics-hydration model for the early-age elastic properties of cement-based materials", Cement Concrete Res., 33(9), 1293-1309. https://doi.org/10.1016/S0008-8846(03)00039-5
  5. Brigham, E.O. and Brigham, E.O. (1974), The fast Fourier transform (Vol. 7). Englewood Cliffs, NJ: Prentice-Hall.
  6. Caicedo, J.M. (2011), "Practical guidelines for the natural excitation technique (NExT) and the eigensystem realization algorithm (ERA) for modal identification using ambient vibration", Exper. Techniques, 35(4), 52-58. https://doi.org/10.1111/j.1747-1567.2010.00643.x
  7. Chang, P.C., Flatau, A. and Liu, S.C. (2003), "Review paper: health monitoring of civil infrastructure", Struct. Health Monit., 2(3), 257-267. https://doi.org/10.1177/1475921703036169
  8. Chang, K.C. and Kim, C.W. (2016), "Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge", Eng. Struct., 122, 156-173. https://doi.org/10.1016/j.engstruct.2016.04.057
  9. Chase, J.G., Barroso, L.R. and Hwang, K.S. (2004), "LMS-based structural health monitoring methods for the ASCE benchmark problem", Proceedings of the American Control Conference 2004, Boston, June.
  10. Clayton, E.H., Qian, Y., Orjih, O., Dyke, S.J., Mita, A. and Lu, C. (2006), "Off-the-shelf modal analysis: Structural health monitoring with motes", Proceedings of the 24th International Modal Analysis Conference. St. Louis, 2006, January.
  11. Doebling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1996), Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in their Vibration Characteristics: A Literature Review (No. LA--13070-MS), Los Alamos National Lab., NM, United States.
  12. Gentile, C., Saisi, A., and Cabboi, A. (2015), "Structural identification of a masonry tower based on operational modal analysis". Int. J. Architect. Heritage, 9(2), 98-110. https://doi.org/10.1080/15583058.2014.951792
  13. Gu, H., Song, G., Dhonde, H., Mo, Y.L. and Yan, S. (2006), "Concrete early-age strength monitoring using embedded piezoelectric transducers", Smart Mater. Struct., 15(6), 1837. https://doi.org/10.1088/0964-1726/15/6/038
  14. Guo, H., Xiao, G., Mrad, N. and Yao, J. (2011), "Fiber optic sensors for structural health monitoring of air platforms", Sensors, 11(4), 3687-3705. https://doi.org/10.3390/s110403687
  15. Giurgiutiu, V. (2007), Structural Health Monitoring: with Piezoelectric Wafer Active Sensors, Academic Press, Massachusetts, U.S.
  16. Haranki, B. (2009), "Strength, modulus of elasticity, creep and shrinkage of concrete used in Florida", Ph.D. Dissertation, University of Florida, Gainesville.
  17. Hearn, G. and Testa, R.B. (1991), "Modal analysis for damage detection in structures", J. Struct. Eng. - ASCE, 117(10), 3042-3063. https://doi.org/10.1061/(ASCE)0733-9445(1991)117:10(3042)
  18. Ibrahim, S.R. and Mikulcik, E.C. Mikulcik (1973), "A time domain modal vibration test technique", Shock Vib. Bul., 43, 21-37.
  19. Ibrahim, S.R. and Pappa, R.S. (1982), "Large modal survey testing using the Ibrahim time domain identification technique", J. Spacecraft Rockets, 19(5), 459-465. https://doi.org/10.2514/3.62285
  20. James III, G.H., Carne, T.G. and Lauffer, J.P. (1993), The Natural Excitation Technique (NExT) for Modal Parameter Extraction from Operating Wind Turbines (No. SAND--92-1666). Sandia National Labs., Albuquerque, NM (United States).
  21. Leung, C.K., Wan, K.T., Inaudi, D., Bao, X., Habel, W., Zhou, Z., and Imai, M. (2015), "Review: optical fiber sensors for civil engineering applications", Mater. Struct., 48(4), 871-906. https://doi.org/10.1617/s11527-013-0201-7
  22. Noguchi, T., Tomosawa, F., Nemati, K.M., Chiaia, B.M. and Fantilli, A.P. (2009), "A practical equation for elastic modulus of concrete", ACI Struct. J., 106(5), 690.
  23. Park, G., Cudney, H.H., and Inman, D.J. (2000), "Impedancebased health monitoring of civil structural components", J. Infrastruct. Syst., 6(4), 153-160. https://doi.org/10.1061/(ASCE)1076-0342(2000)6:4(153)
  24. Prashant, S.W., Chougule, V.N. and Mitra, A.C. (2015), "Investigation on modal parameters of rectangular cantilever beam using Experimental modal analysis", Mater. Today: Proceedings, 2(4), 2121-2130.
  25. Quinquis, A. (2010), Digital Signal Processing using MATLAB (Vol. 14). John Wiley & Sons, New Jersy.
  26. Roy, S., Ladpli, P. and Chang, F.K. (2015), "Load monitoring and compensation strategies for guided-waves based structural health monitoring using piezoelectric transducers", J. Sound Vib., 351, 206-220. https://doi.org/10.1016/j.jsv.2015.04.019
  27. Song, G., Gu, H., Mo, Y.L., Hsu, T.T.C. and Dhonde, H. (2007), "Concrete structural health monitoring using embedded piezoceramic transducers", Smart Mater. Struct., 16(4), 959. https://doi.org/10.1088/0964-1726/16/4/003
  28. Song, G., Gu, H. and Mo, Y.L. (2011), "Piezoceramic-based smart aggregate for unified performance monitoring of concrete structures". U.S. Patent No. 7,987,728. Washington, DC: U.S. Patent and Trademark Office.
  29. Stoica, P. and Moses, R.L. (2005), Spectral Analysis of Signals (Vol. 452). Upper Saddle River, NJ: Pearson Prentice Hall.
  30. Su, H., Zhang, N., Yang, M. and Cai, S. (2014), Testing device capable of identifying natural vibration frequency of hydraulic concrete structure, Chinese patent CN203432772 U, Nanjing, China.
  31. Su, H., Zhang, N., Yang, M., Wen, Z. and Xie, W. (2015), "Experimental study on natural vibration frequency identification of hydraulic concrete structure using concrete piezoceramic smart module", J. Vibroengineering, 17(7).
  32. Su, H., Zhang, N., Wen, Z. and Li, H. (2016), "Experimental study on obtaining hydraulic concrete strength by use of concrete piezoelectric ceramic smart module pairs", J. Intel. Mat. Syst. Str., 27(5), 666-678. https://doi.org/10.1177/1045389X15575089
  33. Tennyson, R.C., Mufti, A.A., Rizkalla, S., Tadros, G. and Benmokrane, B. (2001), "Structural health monitoring of innovative bridges in Canada with fiber optic sensors", Smart Mater. Struct., 10(3), 560. https://doi.org/10.1088/0964-1726/10/3/320
  34. Tomosawa, F. and Noguchi, T. (1993), "Relationship between compressive strength and modulus of elasticity of high-strength concrete", Proceedings of the 3rd International Symposium on Utilization of High-Strength Concrete, Lillehammer, June.
  35. Xu, D., Banerjee, S., Wang, Y., Huang, S. and Cheng, X. (2015), "Temperature and loading effects of embedded smart piezoelectric sensor for health monitoring of concrete structures", Constr. Build. Mater., 76, 187-193. https://doi.org/10.1016/j.conbuildmat.2014.11.067
  36. Zhang, X. and Jia, Y. (2005), "A soft decision based noise cross power spectral density estimation for two-microphone speech enhancement systems", Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, March.

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