Vibration data analysis reserves a significant place in structural health monitoring practice since it can be employed for certain engineering problems such as locating damage and assessing damage severity by means of vibration signature interpretation. In this study, a damage detection study is carried out in light of vibration data analysis methods on a four-span bridge model by exploiting strain measurements. The concept of strain operating deflection shape along with an extraction method based on frequency and spatial domain decomposition is proposed. The damage-induced state of the bridge model is compared with the baseline state to detect and locate the damage. The result of strain analysis is also compared with acceleration analysis by simultaneous measurements of strain and acceleration. The power spectrum matrix of responses is estimated using digital signal processing principles. Besides the operating deflection shape analysis, operational modal analysis and correlation analysis of strain modes are conducted to identify and locate the damage.
AsnaashariESinhaJK (2013) Operational deflection shape for crack detection in structures. In: Proceedings of the 10th international conference on damage assessment of structures, Dublin, 8–10 July.
2.
AsnaashariESinhaJK (2014) Development of residual operational deflection shape for crack detection in structures. Mechanical Systems and Signal Processing43(1–2): 113–123.
3.
CardenEPBrownjohnJM (2008) ARMA modelled time-series classification for structural health monitoring of civil infrastructure. Mechanical Systems and Signal Processing22(2): 295–314.
4.
CatbasFNAktanAE (2002) Condition and damage assessment: issues and some promising indices. Journal of Structural Engineering ASCE128(8): 1026–1036.
5.
GaneriwalaSNSchwarzBRichardsonMH (2009) Using operating deflection shapes to detect unbalance in rotating equipment. In: Proceedings of the IMAC XXVII, Orlando, FL, 9–12 February.
6.
GulMCatbasFN (2008) Ambient vibration data analysis for structural identification and global condition. Journal of Engineering Mechanics134(8): 650–662.
7.
GulMCatbasFN (2009) Statistical pattern recognition for structural health monitoring using time series modeling: theory and experimental verifications. Mechanical Systems and Signal Processing23(7): 2192–2204.
8.
GulMCatbasFN (2011) Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering. Journal of Sound and Vibration330(6): 1196–1210.
9.
HesterDGonzalezA (2012) A wavelet-based damage detection algorithm based on bridge acceleration response to a vehicle. Mechanical Systems and Signal Processing28: 145–166.
10.
LaflammeSKolloscheMConnorJJ. (2012) Soft capacitive sensor for structural health monitoring of large-scale systems. Structural Control and Health Monitoring19(1): 70–81.
11.
LiJLawSSHaoH (2013) Improved damage identification in bridge structure subject to moving loads: numerical and experimental studies. International Journal of Mechanical Sciences74: 99–111.
12.
MalekzadehMGMCatbasFN (2012) Use of FBG sensors to detect damage from large amount of dynamic measurements. In: Proceedings of the IMAC XXX, Jacksonville, FL, 30 January - 2 February.
13.
OmenzetterPBrownjohnJM (2006) Application of time series analysis for bridge monitoring. Smart Materials and Structures15: 129–138.
14.
PaiPFJinS (2000) Locating structural damage by detecting boundary effects. Journal of Sound and Vibration231(4): 1079–1110.
15.
PaiPFYoungLG (2001) Damage detection of beams using operational deflection shapes. International Journal of Solids and Structures38(18): 3161–3192.
16.
PalJBanerjeeS (2015) A combined modal strain energy and particle swarm optimization for health monitoring of structures. Journal of Civil Structural Health Monitoring5(4): 427–439.
SundaresanMJSchulzMJHillJ. (1999) Damage detection on a wind turbine blade section. In: Proceedings of the IMAC XVII, Orlando, FL.
20.
WangTZhangLMTamuraY (2005) An operational modal analysis method in frequency and spatial domain. Earthquake Engineering and Engineering Vibration4(2): 295–300.
21.
XuXHuangH (2012) Battery-less wireless interrogation of microstrip patch antenna for strain sensing. Smart Materials and Structures21(12): 125007.
22.
YanWJRenWXHuangTL (2012) Statistic structural damage detection based on the closed-form of element modal strain energy sensitivity. Mechanical Systems and Signal Processing28: 183–194.
23.
YanYJYangHFWuZY. (2010) Damage detection method for composite structures based on a combined technique of cross modal strain energy and niche genetic algorithms. Journal of Vibration and Control16(11): 1673–1683.
24.
YiXChoCCooperJ. (2013) Passive wireless antenna sensor for strain and crack sensing—electromagnetic modeling, simulation, and testing. Smart Materials and Structures22(8): 085009.
25.
ZhangQW (2007) Statistical damage identification for bridges using ambient vibration data. Computers & Structures85(7–8): 476–485.
26.
ZhangYLieSTXiangZ (2013) Damage detection method based on operating deflection shape curvature extracted from dynamic response of a passing vehicle. Mechanical System and Signal Processing35(1–2): 238–254.
27.
ZhengHMitaA (2007) Two-stage damage diagnosis based on the distance between ARMA models and pre-whitening filters. Smart Materials and Structures16(5): 1829–1836.
