Login Register Cart 0
Generic placeholder image

Recent Patents on Engineering

Editor-in-Chief

ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

A Virtual Load Method for Damage Identification of Beam Structures

Author(s): C.H. Li, Q.W. Yang*, B.X. Sun and C.F. Liang

Volume 12, Issue 2, 2018

Page: [117 - 126] Pages: 10

DOI: 10.2174/1872212111666170517101706

Price: $65

Abstract

Background: Damage identification at the earliest possible stage is very important for beam structures to ensure safety, extend serviceability, and reduce maintenance costs according to recent patents.

Methods: The goal of this work is to develop a virtual load method for beam damage identification by using only the vibration modes of the current structure. Central to the damage identification approach is the construction of the virtual load according to the support conditions of the structure. A virtual quasistatic deformation of the structure can be obtained by multiplying its modal flexibility matrix with the virtual force vector. And then the possible damage location in the structure can be determined by sudden increases in curvatures of the virtual quasi-static deformation. Subsequently the damage extent can be simply computed if necessary.

Results: Three types of beams are used as examples to demonstrate the efficiency of the presented virtual load method in structural damage identification. For comparison, damage localization was also conducted by the existing uniform load surface (ULS) curvature method. The results showed that the proposed virtual load method is applicable to all types of beams but the ULS curvature method is only applicable to the simple supported beam.

Conclusion: It was found that the proposed method can successfully determine damage location and extent only using the partial modes of the current structure.

Keywords: Damage identification, virtual load, vibration mode, beam structures, curvature, flexibility matrix.

Graphical Abstract

[1]
S.W. Doebling, C.R. Farrar, and M.B. Prime, "A summary review of vibration-based damage identification methods", Shock Vib. Dig., vol. 30, pp. 91-105, 1998.
[2]
E.P. Carden, and P. Fanning, "Vibration based condition monitoring: a Review", Struct. Health Monit., vol. 3, pp. 355-377, 2004.
[3]
A. Prinaris, S. Alampalli, and M. Ettouney, "Review of remote sensing for condition assessment and damage identification after extreme loading conditions", Proceedings of the 2008 Structures Congress, 2008
[4]
R. Ashokkumar, and N.G.R. Lyengar, "Partial eigenvalue assignment for structural damage mitigation", J. Sound Vibrat., vol. 330, pp. 9-16, 2011.
[5]
Z.C. Yang, and L. Wang, "Structural damage detection by changes in natural frequencies", J. Intell. Mater. Syst. Struct., vol. 21, pp. 309-319, 2010.
[6]
H.P. Zhu, L. Li, and X.Q. He, "Damage detection method for shear buildings using the changes in the first mode shape slopes", Comput. Struc., vol. 89, pp. 733-743, 2011.
[7]
Q.W. Yang, "A new damage identification method based on structural flexibility disassembly", J. Vib. Control, vol. 17, pp. 1000-1008, 2011.
[8]
Q.W. Yang, and J.K. Liu, "Damage identification by the eigenparameter decomposition of structural flexibility change", Int. J. Numer. Methods Eng., vol. 78, pp. 444-459, 2009.
[9]
J. Zhao, and J.T. DeWolf, "Sensitivity study for vibrational parameters used in damage detection", J. Struct. Eng. ASCE, vol. 125, pp. 410-416, 1999.
[10]
R. Perera, A. Ruiz, and C. Manzano, "An evolutionary multiobjective framework for structural damage localization and quantification", Eng. Struct., vol. 29, pp. 2540-2550, 2007.
[11]
A.K. Pandey, and M. Biswas, "Damage detection in structures using changes in flexibility", J. Sound Vibrat., vol. 169, pp. 3-17, 1994.
[12]
K. Pandey, and M. Biswas, "Experimental verification of flexibility difference method for locating damage in structures", J. Sound Vibrat., vol. 184, pp. 311-328, 1995.
[13]
Z. Zhang, and A.E. Aktan, "Application of modal flexibility and its derivatives in structural identification", Res. Nondestruct. Eval., vol. 10, pp. 43-61, 1998.
[14]
D. Wu, and S.S. Law, "Damage localization in plate structures from uniform load surface curvature", J. Sound Vibrat., vol. 276, pp. 227-244, 2004.
[15]
D. Wu, and S.S. Law, "Sensitivity of uniform load surface curvature for damage identification in plate structures", J. Vib. Acoust., vol. 127, pp. 84-92, 2005.
[16]
S.H. Sung, H.J. Jung, and H.Y. Jung, "Damage detection of beam-like structures using the normalized curvature of a uniform load surface", J. Sound Vibrat., vol. 332, pp. 1501-1519, 2013.
[17]
Q.W. Yang, S.G. Du, C.F. Liang, and L.J. Yang, "A universal model-independent algorithm for structural damage localization", CMES: Comput. Model. Eng. Sci., vol. 100, pp. 223-248, 2014.
[18]
E. Reynders, and G. De Roeck, "A local flexibility method for vibration-based damage localization and quantification", J. Sound Vibrat., vol. 329, pp. 2367-2383, 2010.
[19]
E. Carrera, A. Pagani, and M. Petrolo, "Free vibrations of damaged aircraft structures by component-wise analysis", AIAA Journal, vol. 54, pp. 3091-3106, 2016.
[20]
L. Y. Li, Z. H. Xiang, Q. H. Lu, H. Wang, C. Zhang, Z. Shen, and M. Zhou, Knocking scan type bridge damage detecting and positioning system. CN Patent 103076399A, 2013.
[21]
B. Huang, H. Zhang, L. L. Zhang, H. Zhu, X. Shu, G. Wang, and W. Li, Damage identification method based on genetic algorithm and static data for random structures. CN Patent 103164627A, 2013.
[22]
P. Liang, X. N. Wu, M. L Ren, Q. Zhang, X. Dong, H. Wei, Y. Xue, and B. Lin, Bridge structure multi-system damage identification method. CN Patent 102938068A, 2013.
[23]
Q. W. Yang, L. J. Yang, and C. H. Li, A damage identification method based on the virtual derivative structures. CN Patent 102998367B, 2015.
[24]
Z.Y. Shi, S.S. Law, and L.M. Zhang, "Optimum sensor placement for structural damage detection", J. Eng. Mech., vol. 126, pp. 1173-1179, 2000.

Rights & Permissions Print Cite
Article Metrics
19
3
© 2024 Bentham Science Publishers | Privacy Policy