Vibration Analysis Damage Detection in Structure

Authors

  • Sweta Verma Mtech Scholars, Department of Civil Engineering, RSR Rungta College of Engineering and Technology, Bhilai, Chhattisgarh, India Author
  • Pradeep Kumar Assistant Professor Department of Civil Engineering, RSR Rungta College of Engineering and Technology, Bhilai, Chhattisgarh, India Author
  • Novel Kumar Sahu HOD (Civil) Department of Civil Engineering, RSR Rungta College of Engineering and Technology, Bhilai, Chhattisgarh, India Author

DOI:

https://doi.org/10.32628/IJSRCE

Keywords:

Damage Indicator, Modal Analysis, Cantilever Beam Damage Detection, Sensitivity Analysis, Frame Structure, Modal Sensitivity

Abstract

Steel, Power, and construction are indispensable industries for progressive growth of economic and social development. For maintenance, purposes are inspected on regular basis. The main point is to examine and is useful for the detection of surface damages cracks, concrete spalling in the structure, corrosion of steel members, and incomplete failure components, they can be particularly limited at detecting embedded and minor damage, For example fatigue cracks in the structure, corrosion of reinforcement, and delamination Structural health monitoring systems to replace conventional non-destructive inspection techniques which require considerable down-time, human effort and cost .Vibration based damage detection is the most promising techniques for implementation in Structural Health Monitoring (SHM) In the modern era, the concept of detection of damages based on dynamic measurement of structures is critical in focusing on the power of the modern city it is based, on changes in natural frequencies, flexibility and modal curvatures. The measurement of frequency for both before and after the damage to locate the damage and estimate its severity in shear buildings.  These are the parameter to estimation are examined in detail reference to a masonry building affected by diffused damage. The changes induced by damage in the dynamic response are exploited to build a procedure for damage detection based on the variation of natural frequencies, both for continuous and discrete models.              

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References

A.M. Yan, G. Kerschen, P. De Boe, J.C. Golinval, “Structural damage diagnosis under varying environmental conditions - Part II: local PCA for non-linear cases”, Mech. Syst. Signal Process, 19 (4) (2005) 865–880, https://doi.org/10.1016/j.ymssp.2004.12.003.

O. Avci, O. Abdeljaber, S. Kiranyaz, M. Hussein, D.J. Inman, “Wireless and real-time structural damage detection: a novel decentralized method for wireless sensor networks”, J. Sound Vib. (2018).

M. Chaabane, A. Ben Hamida, M. Mansouri, H.N. Nounou, O. Avci, “Damage detection using enhanced multivariate statistical process control technique”, in: 2016 17th Int. Conf. Sci. Tech. Autom. Control Comput. Eng. STA 2016 - Proc., 2017, https://doi.org/10.1109/ STA.2016.7952052.

F.N. Catbas, O. Celik, O. Avci, O. Abdeljaber, M. Gul, N.T. Do, “Sensing and monitoring for stadium structures: a review of recent advances and a forward look”, Front. Built Environ., 3 (2017) 38, https://doi.org /10.3389/ fbuil.2017.00038.

M.M. Abdel Wahab, G. De Roeck, “Damage detection in bridges using modal curvatures: application to a real damage scenario”, J. Sound Vib. (1999), https://doi.org /10.1006/jsvi.1999.2295.

S. Park, C.B. Yun, Y. Roh, J.J. Lee, “PZT-based active damage detection techniques for steel bridge components”, Smart Mater. Struct. (2006), https://doi. org /10.1088/0964-1726/15/4/009.

Y.Y. Li, “Hypersensitivity of strain-based indicators for structural damage identification: a review”, Mech. Syst. Signal Process, 24 (3) (2010) 653–664,https://doi.org/ 10.1016/j.ymssp.2009.11.002.

A. Diez, N.L.D. Khoa, M. Makki Alamdari, Y. Wang, F. Chen, P. Runcie, “A clustering approach for structural health monitoring on bridges”, J. Civ. Struct. Heal. Monit. (2016), https://doi.org/10.1007/s13349-016-0160-0.

C.R. Farrar, S.W. Doebling, D.A. Nix, “Vibration-based structural damage identification”, Philos. Trans. R. Soc. A Math. Phys Eng. Sci. (2001), https://doi.org/10.1098/ rsta.2000.0717.

A.P. Adewuyi, Z.S. Wu, “Vibration-based structural health monitoring technique using statistical features from strain measurements”, J. Eng. Appl. Sci.(2009).

R.P. Bandara, T.H.T. Chan, D.P. Thambiratnam, “Frequency response function based damage identification using principal component analysis”.

Brownjohn JMW. “Structural health monitoring of civil infrastructure”. Philos Trans R Soc A Math Phys Eng Sci. 2007; 365(1851): 589?622.

Sim SH, Spencer BF. “Decentralized identification and multimetric monitoring of civil infrastructure using smart sensors”, Newmark Structural Laboratory Report Series 2015; University of Illinois at Urbana? Champaign, Report 38.

Fan W, Qiao PZ. “Vibration?based damage identification methods: a review and comparative study”, Struct Health Monit. 2011; 10(1):83?111.

Reynders E, De Roeck G. “Continuous vibration monitoring and progressive damage testing on the Z24 bridge”, Encyclopedia of Structural Health Monitoring 2009; John Wiley and Sons, Ltd, 2149?2158.

Reynders E, De Roeck G., “Vibration?based damage identification: The Z24 Bridge benchmark”. In: Encyclopedia of Earthquake Engineering. Springer? Verlag Berlin Heidelberg; 2014.

Aguirre DA, Gaviria CA, Montejo LA. “Wavelet?based damage detection in reinforced concrete structures subjected to seismic excitations”, J Earthq Eng. 2013; 17(8):1103?1125.

M. Cao, Q. Pizhong, “Integrated Wavelet Transform and its application to vibration mode shapes for the damage detection of beam-type structures”, Smart Mater. Struc. 17 (2008) 055014, DOI: 10.1088/0964-1726/17/5/ 055014.

M. Solis, M. Algaba, P. Galvan, “A combined wavelet-modal analysis for damage location in beams”, Proc., Int. Conf. Noise Vib. Eng. ISMA 2012 (2013) 777–790, http://past.ismaisaac.be/downloads/isma2012/papers/isma2012_0780.pdf

P. Cawley, R.D. Adams, “The location of defects in structures from measurements of natural frequencies”, J. Strain Anal. Eng. Des. 14 (1979) 49–57, DOI: 10.1243/03093247V142049

O.S. Salawu, “Detection of structural damage through changes in frequency: a review”, Eng. Struct. 19 (1997) 718–723, DOI: 10.1016/S0141-0296(96)00149-6

R. Clara Serra, M. Raffy, C. Gontier, “A subspace fitting method for structural modal identification in time domain”, in: Proceedings of the 25th International Conference on Noise and Vibration engineering (ISMA25), Leuven, Belgium, 2000, https://www. researchgate.net/profile/Roger_Serra/publication/257297978_A_Subspace_Fitting_Method_For_Structure_Modal_Identification_in_Time_Domain/links/00b495253f3646e6ae000000.pdf&hl=fr&sa=X&scisig=AAGBfm1thGwyXo1CO8tG1vfjIKDP1ZmhGg&nossl=1&oi=scholarr&ved=0ahUKEwicooK6nOzXAhVGblAKHec2AnIQgAMIKigAMAA.

G. Gautier, R. Serra, J.-M. Mencik, “Vibratory diagnosis by finite element model updating and operational modal analysis”, Mechanics & Industry 14 (2013) 145–149, DOI: 10.1051%2fmeca%2f2013055

G. Gautier, J.-M. Mencik, R. Serra, “A finite element-based subspace fitting approach for structure identification and damage localization”, Mech. Sys. Signal Process. 58–59 (2015) 143–159, DOI: 10.1016%2fj.ymssp.2014.12.003

T. G. Chondros, A. D. Dimarogonas and J. Yao, “A continuous cracked beam vibration theory”, Journal of Sound and Vibration, vol. 215, no. 1, pp. 17–34, 1998.

P. F. Rizos, N. Aspragathos and A. D. Dimarogonas, “Identification of crack location and magnitude in a cantilever beam from the vibration modes”, Journal of Sound and Vibration, vol. 138, no. 3, pp. 381–388, 1990.

W. M. Ostachowicz and M. Krawcz “Analysis of the effect of cracks on the natural frequencies of a cantilever beam”, Journal of Sound and Vibration, vol. 150, no. 2, p. 191, 1991.

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Published

10-04-2022

Issue

Section

Research Articles

How to Cite

Sweta Verma, Pradeep Kumar Nirmal, & Novel Kumar Sahu. (2022). Vibration Analysis Damage Detection in Structure . International Journal of Scientific Research in Civil Engineering, 6(2), 223-227. https://doi.org/10.32628/IJSRCE

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