A damage identification method for a thin plate structure based on PVDF sensors and strain mode

Cui, Hongyu; Peng, Weiqiang; Xu, Xin; Hong, Minghui

doi:10.1177/0954406219838579

Cited by 7 publications

(6 citation statements)

References 26 publications

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“…The structural displacement vibration response equation for a multi-degree-of-freedom vibration system can be expressed as follows, using the theory of mode superposition [45,46]:…”

Section: The Strain Mode Vibration Pattern's Derivationmentioning

confidence: 99%

Wooden Beams Modal Damage Identification Parameters Based on Strain

Cao,

Meng,

Gao

et al. 2023

Buildings

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This study completely investigates the damage detection problem based on strain modal characteristics using simply supported wooden beams as the research object. First, modal analysis was performed, and finite element models of both damaged and undamaged timber beams were created using ABAQUS. Second, a number of strain modal characteristics (strain modal, strain modal difference, and strain modal curvature difference) were used to identify the damage to the wooden beam construction. Lastly, the modal parameters of the wooden beam under various damage scenarios were ascertained using damage identification experiments, and the test results were contrasted with those obtained from a numerical simulation. The findings showed that, while each of the three damage identification indices has a distinct identification effect, they can all locate the damage to wooden beams. Strain mode curvature difference > strain mode difference > strain mode is the order of them. The results of this study can be used as a reference to identify damage to timber beams in the future.

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“…The structural displacement vibration response equation for a multi-degree-of-freedom vibration system can be expressed as follows, using the theory of mode superposition [45,46]:…”

Section: The Strain Mode Vibration Pattern's Derivationmentioning

confidence: 99%

Wooden Beams Modal Damage Identification Parameters Based on Strain

Cao,

Meng,

Gao

et al. 2023

Buildings

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show abstract

“…ω i , and ζ i are the ith-order natural frequency and damping ratio, respectively. It is worth mentioning that the strain response is more sensitive to local damage than the displacement response [29][30][31][32] because the strain mode shape is a second-order differentiation of the displacement mode shape, while the differentiation operation further amplifies the abrupt changes in the curve caused by damage. Consequently, the strain response data are selected for the damage identification study.…”

Section: Second-order Strain Statistical Moments (Sssm)mentioning

confidence: 99%

A Feature of Mechanics-Driven Statistical Moments of Wavelet Transform-Processed Dynamic Responses for Damage Detection in Beam-Type Structures

et al. 2022

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Multiple damage detection using structural responses only is a problem unresolved that is in the field of structural health monitoring. To address this problem, a novel feature of mechanics-driven statistical moments of wavelet transform-processed dynamic responses is proposed for multi-damage identification in beam-type structures. This feature is referred to as a continuous wavelet transform (CWT)-second-order strain statistical moment (SSSM), with CWT-SSSM in the abbreviation. The mechanical connotation of CWT-SSSM lies in that the SSSM of each order principal vibration contains strain mode shapes, inducing greater sensitivity to local damage. With this method, the CWT is used to extract and amplify the singularities caused by damage in each order SSSM curve, following which the data fusion technology and three-sigma rule in statistics are adopted to construct the damage index. The presence of damage is characterized by the abrupt change in the damage index. The soundness and characteristics of the CWT-SSSM feature are verified by identifying multiple damages in a cantilever beam bearing two breathing cracks. The results show that the proposed feature can accurately designate multiple cracks free of baseline information on the intact counterpart; moreover, it has robustness against noise and applicability under excitations of approximately uniform spectra.

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“…Anastasopoulos et al [16] performed modal analysis by improving the fiber optic strain sensing technique and identified structural damage by using strain mode shapes and strain ratio. Cui et al [17] suggested a novel damage identification index for thin plates based on the LU decomposition of the strain flexibility matrix. However, it was noted that the measurement of the point-strain sensor is too local for SHM as these point strain sensors only collect structural local information and are unable to adequately capture structural damage information unless they are installed close enough to the damage areas [18,19].…”

Section: Introductionmentioning

confidence: 99%

Structural damage detection based on structural macro-strain mode shapes extracted from non-stationary output responses

Chen,

Zheng,

Yang

et al. 2024

Meas. Sci. Technol.

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Long-gauge Fiber Bragg grating (FBG) strain sensors have been widely employed because of their broader measuring range and higher sensitivity. However, current structural damage detection methods using macro-strain modal parameters are based on structural frequency response function or stationary power spectrum density, which are not applicable to non-stationary responses. To overcome this limitation, an improved method is proposed in this paper for structural damage detection based on structural macro-strain responses under unknown multi-point non-stationary excitations. First, a new concept of macro-strain energy spectrum transmissibility (MEST) is proposed using structural non-stationary macro-strain responses, and it is derived that MEST at a certain system pole equals the ratio of macro-strain mode shape. Then, the singular value decomposition (SVD) technique is adopted for the MEST matrix to identify structural natural frequencies and macro-strain mode shapes. Finally, two damage detection indicators are constructed based on the identified normalized macro-strain mode shape (NMMS). The first indicator is the difference in structural NMMS before and after structural damage. The second one is based on the curvatures of structural NMMS, which can be used for structures without intact baseline. Numerical verifications are conducted to identify beam-type structural damage under multi-point nonstationary excitations or vehicle loads. Five damage scenarios with different measurement noise levels are investigated, and damage detection results validate the effectiveness of the proposed method.

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A damage identification method for a thin plate structure based on PVDF sensors and strain mode

Cited by 7 publications

References 26 publications

Wooden Beams Modal Damage Identification Parameters Based on Strain

Wooden Beams Modal Damage Identification Parameters Based on Strain

A Feature of Mechanics-Driven Statistical Moments of Wavelet Transform-Processed Dynamic Responses for Damage Detection in Beam-Type Structures

Structural damage detection based on structural macro-strain mode shapes extracted from non-stationary output responses

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