Damage identification in plate-like structure using mode shape derivatives

Navabian, Niusha; Bozorgnasab, Mohsen; Taghipour, Reza; Yazdanpanah, Omid

doi:10.1007/s00419-015-1064-x

Cited by 42 publications

(15 citation statements)

References 16 publications

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“…However, there is as yet a lack of advanced damage identification methods matched with such advanced sensing technologies. Existing SHM based damage detection methods employ dynamic characteristics such as natural frequencies [13,14,15,16,17], mode shapes [18,19,20,21], modal curvatures [22,23,24,25], and wavelet transform coefficients [26,27,28], to establish damage features. Among those methods, wavelet transform based diagnosis of damage has been adopted extensively with advantages in the time-frequency and multi-resolution analysis of measured dynamic responses of structures.…”

Section: Introductionmentioning

confidence: 99%

Wavelet Packet Singular Entropy-Based Method for Damage Identification in Curved Continuous Girder Bridges under Seismic Excitations

Cao

Deng

et al. 2019

Sensors

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Curved continuous girder bridges (CCGBs) have been widely adopted in the civil engineering field in recent decades for complex interchanges and city viaducts. Unfortunately, compared to straight bridges, this type of bridge with horizontal curvature is relatively vulnerable to earthquakes characterized by large energy and short duration. Seismic damage can degrade the performance of CCGBs, threatening their normal operation and even resulting in collapse. Detection of seismic damage in CCGBs is thus significantly important but is still not well resolved. To this end, a new method based on wavelet packet singular entropy (WPSE) is proposed to identify seismic damage by analyzing the dynamic responses of CCGBs to seismic excitation. This WPSE-based approach features characterizing damage using synergistic advantage of the wavelet packet transform, singular value decomposition, and information entropy. To testify the algorithm, a finite element model of a typical CCGB with two types of seismic damage is built, in which the seismic damage is individually modeled by stiffness reductions at the bottom of piers and at pier-girder connections. The displacement responses of the model to El Centro seismic excitation is used to identify the damage. The results show that damage indices in the WPSE-based approach can correctly locate the seismic damage in CCGBs. Furthermore, the WPSE-based method is competent to identify damage with higher accuracy in comparison with the wavelet packet energy based method, and has a strong immunity to noise revealed by robustness analysis. An array of responses used in this approach paves the way of developing practical technologies for detecting seismic damage using advanced distributed sensing techniques, typically the optical sensors.

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Section: Introductionmentioning

confidence: 99%

Wavelet Packet Singular Entropy-Based Method for Damage Identification in Curved Continuous Girder Bridges under Seismic Excitations

Cao

Deng

et al. 2019

Sensors

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“…Some mode shapes are better sensitive in damage but not all mode shapes [13]. Developed a new method from beam damage index is proposed (MSDBDI) for plate structure [14]. Sensors and logic controller used to identify defect in advanced level [15].…”

Section: Introductionmentioning

confidence: 99%

Novel TQWT Algorithm for Structural Damage Identification

Kumar K *,

Reddy D

2019

IJRTE

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In this paper tunable Q-factor wavelet transform is implemented into damage identification. Fixed – Fixed beam damage identification problem is demonstrated. Translation and Rotational mode shapes are used as an input signal, the TQWT algorithm depends Q-factor and asymptotic redundancy, when it matches with the oscillatory behavior of the input signal it is tuned. This method decomposes a signal into a high-Q-factor and low-Q-factor component, and it can be used to differentiate the damaged and undamaged mode shapes of the beam structure. TQWT coefficient is used as damage index to locate and quantify the damage. Proposed method evaluated experimentally and results shows TQWT algorithm has a potential to detect even a small damage (10% stiffness loss) present in the structure.

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“…To this end, the MSCs are adopted in this work as features that enable higher level SHM procedures. To the best of the knowledge of the authors, the MSCs have never been used thus far as a vibration feature in conjunction with the PCA. The aim of this study is to fill this gap and explore this issue by proposing a simple, straightforward, and effective framework for damage localization under changing operational conditions.…”

Section: Introductionmentioning

confidence: 99%

On the use of mode shape curvatures for damage localization under varying environmental conditions

Shokrani

Dertimanis

Chatzi

et al. 2018

Struct Control Health Monit

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SummaryA novel damage localization method is introduced in this study, which exploits mode shape curvatures as damage features, while accounting for operational variability. The developed framework operates in an output-only regime,that is, it does not assume availability of records from the influencing environmental/operational quantities but rather from response quantities alone. The introduced tool comprises 3 stages pertaining to training, validation, and diagnostics. During the training stage, a representation of the healthy, or baseline, structural state is acquired over varying operational conditions. A data matrix is formulated, whose individual columns correspond to mode shape curvatures at distinct operational conditions, and principal component analysis (PCA) is applied for extraction of the imprints of separate operational sources on these curvatures. To this end, a residual matrix between the original and the PCA mapped data is formed serving for statistical characterization of each mode.Subsequently, during the validation and diagnostics stages, the mode shape curvature matrices for the currently inspected structural state are assembled and the same PCA mapping is enforced. A typical hypothesis test and a corresponding damage index are then adopted in order to firstly detect damage, and to secondly localize damage, should this exist. The implementation of the proposed method in 2 numerical case studies confirms its effectiveness and the encouraging results suggest further investigation on operating structural systems.

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Damage identification in plate-like structure using mode shape derivatives

Cited by 42 publications

References 16 publications

Wavelet Packet Singular Entropy-Based Method for Damage Identification in Curved Continuous Girder Bridges under Seismic Excitations

Wavelet Packet Singular Entropy-Based Method for Damage Identification in Curved Continuous Girder Bridges under Seismic Excitations

Novel TQWT Algorithm for Structural Damage Identification

On the use of mode shape curvatures for damage localization under varying environmental conditions

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