A new damage quantification approach for shear-wall buildings using ambient vibration data

Abstract

This paper presents a new approach to estimate damage severity for shear-wall buildings using diagonal terms of a modal flexibility matrix estimated from dynamic properties. This study aims to provide a fundamental concept for quantifying the damage of realistic buildings by investigating an idealized shear-wall building. Numerical studies were performed on a 5-story shear-wall building model to validate the applicability of the presented approach, using two damage patterns. With the numerical simulations, the proposed approach accurately determined the damage ratio of the specimens. Experiments were also conducted on a 5-story shear-wall building model for which the system parameters were almost the same as those in numerical simulations. The estimated damage-quantification results from the experimental validations demonstrated that the performance of the presented method for shear-wall buildings was both suitable and accurate.

Keywords

damage identification / modal flexibility / damage quantification / shear-wall buildings

References

[1] Doebling S W, Farrar C R, Prime M B, Shevitz D W. Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review. Technical Report, 1996

[2] Sohn H, Farrar C R, Hemez F M, Shunk D D, Stinemates D W, Nadler B R. Review of structural health monitoring literature: 1996–2001. Technical Report, 2004

[3] Fan W, Qiao P. Vibration-based damage identification methods: a review and comparative study. Structural Health Monitoring, 2011, 10(1): 83–111

[4] Fritzen C P, Jennewein D, Kiefer T. Damage detection based on model updating methods. Mechanical Systems and Signal Processing, 1998, 12(1): 163–186

[5] Teughels A, Maeck J, De Roeck G. Damage assessment by FE model updating using damage functions. Computers & Structures, 2002, 80(25): 1869–1879

[6] Jaishi B, Ren W X. Damage detection by finite element model updating using modal flexibility residual. Journal of Sound and Vibration, 2006, 290(1–2): 369–387

[7] Moaveni B, He X, Conte J P, Restrepo J I. Damage identification study of a seven-story full-scale building slice tested on the UCSD-NEES shake table. Structural Safety, 2010, 32(5): 347–356

[8] Moaveni B, Stavridis A, Lombaert G, Conte J P, Shing P B. Finite-element model updating for assessment of progressive damage in a 3-Story infilled RC frame. Journal of Structural Engineering, 2013, 139(10): 1665–1674

[9] Fu Y Z, Lu Z R, Liu J K. Damage identification in plates using finite element model updating in time domain. Journal of Sound and Vibration, 2013, 332(26): 7018–7032

[10] Ghee Koh C, Ming See L, Balendra T. Damage detection of buildings: numerical and experimental studies. Journal of Structural Engineering, 1995, 121(8): 1155–1160

[11] Yang J N, Lin S, Huang H, Zhou L. An adaptive extended Kalman filter for structural damage identification. Structural Control and Health Monitoring, 2006, 13(4): 849–867

[12] Rytter A, Kirkegaard P. Vibration Based Inspection Using Neural Networks Structural Damage Assessment Using Advanced Signal Processing Procedures (DAMAS) (Sheffield: University of Sheffield), 1997, 97–108

[13] Sahin M, Shenoi R A. Quantification and localization of damage in beam-like structures by using artificial neural networks with experimental validation. Engineering Structures, 2003, 25(14): 1785–1802

[14] Choo J F, Ha D H, Koh H M. A neural network-based damage detection algorithm using dynamic responses measured in civil structures. The Fifth International Joint Conference on INC, IMS and IDC, 2009

[15] Reynders E, De Roeck G. A local flexibility method for vibration-based damage localization and quantification. Journal of Sound and Vibration, 2010, 329(12): 2367–2383

[16] Koo K Y, Sung S H, Jung H J. Damage quantification of shear-wall buildings using deflections obtained by modal flexibility. Smart Materials and Structures, 2011, 20(4): 045010

[17] Zare Hosseinzadeh A, Bagheri A, Ghodrati Amiri G, Koo K Y. A flexibility-based method via the iterated improved reduction system and the cuckoo optimization algorithm for damage quantification with limited sensors. Smart Materials and Structures, 2014, 23(4): 045019

[18] Sung S H, Koo K Y, Jung H Y, Jung H J. Damage-induced deflection approach for damage localization and quantification of shear buildings: validation on a full-scale shear building. Smart Materials and Structures, 2012, 21(11): 115013

[19] Peeters B, DeRoeck G. Reference-based stochastic subspace identification for output-only modal analysis. Mechanical Systems and Signal Processing, 1999, 13(6): 855–878

[20] Parloo E, Verboven P, Guillaume P, Overmeire M V. Sensitivity-based operational mode shape normalization. Mechanical Systems and Signal Processing, 2002, 16: 757–767

[21] Bernal D. Mass scaling from known mass perturbations. Journal of Engineering Mechanics, 2004, 130(9): 1083–1088

Acknowledgements

This research was supported by a grant (13SCIPA01) from Smart Civil Infrastructure Research Program funded by Ministry of Land, Infrastructure and Transport (MOLIT) of Korea government and Korea Agency for Infrastructure Technology Advancement (KAIA).

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg