Surface strain distribution method for delamination detection using piezoelectric actuators and sensors

Gu, Ying; Tong, Liyong; Tan, Ping

doi:10.1088/1742-6596/305/1/012077

Cited by 9 publications

(8 citation statements)

References 17 publications

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“…In beam structures, the kinematic assumptions are such that the curvatures are proportional to the longitudinal strains at a given height in a section. In general, for any type of structure, this local sensitivity can be generalized for strains, and the localization is improved when the length of the damage is small compared to the wavelength of the mode, as demonstrated numerically in [2] and experimentally by Gu et al in [13]. In previous works by the authors of this work, it was therefore proposed to use strain sensors in order to detect and localize very small damages [37,36,3].…”

Section: Acceleration and Strains Measurements For Damage Localizationmentioning

confidence: 81%

Local modal filters for automated data-based damage localization using ambient vibrations

Tondreau¹,

Deraemaeker²

2013

Mechanical Systems and Signal Processing

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a b s t r a c tThe motivation of the paper is to develop a fully automated data-based technique for damage localization using in-service ambient vibrations. The idea is an extension of the modal filtering technique previously developed for damage detection. A very large network of dynamic strain sensors is deployed on the structure to be monitored and split into several independent local sensor networks. Simple and fast signal processing techniques are coupled to statistical control charts for efficient and fully automated damage localization. The efficiency of the method is demonstrated using time-domain simulated data on a simply supported beam and a three-dimensional bridge structure. The method is able to detect and locate very small damages (2% stiffness reduction in an area corresponding to 1/100th of the length of the structure) even in the presence of noise on the measurements and variability of the baseline structure.

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Section: Acceleration and Strains Measurements For Damage Localizationmentioning

confidence: 81%

Local modal filters for automated data-based damage localization using ambient vibrations

Tondreau¹,

Deraemaeker²

2013

Mechanical Systems and Signal Processing

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“…The network of n sensors is divided in m spatial filters, and the modal filters coefficients {α} are computed so that they are orthogonal to the projection of all mode shapes on the sensors of each local filter, except mode l. Therefore, monitoring independently each local filter allows to locate the damage in a particular local filter by checking the appearance of a spurious peak in the filtered frequency response, as depicted in Figure 2: The efficiency of the method relies on the assumption according to which the change of the mode shape due to a small damage is concentrated in the close vicinity of the damage. Such a property has been observed with curvatures in beam-like structures in [10], and it has been generalized to any kind of structures by considering strain measurements more recently, both numerically [3] and experimentally [7].…”

Section: Damage Localization Using Local Filtersmentioning

confidence: 99%

Experimental Localization of Small Damages Using Modal Filters

Tondreau¹,

Deraemaeker²

2013

Special Topics in Structural Dynamics, Volume 6

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This work investigates the experimental application of a damage localization technique based on local modal filters on a small clamped-free steel plate equipped with 8 piezoelectric (PVDFs) sensors, and excited with a PZT patch. A small damage responsible of a small shift of the eigenfrequencies (less than 4%) is introduced at different locations by fixing a stiffener. By following the guidelines established in previous numerical studies, the modal filters are applied on three local filters in order to locate damage, and a new feature extraction procedure is proposed. Univariate control charts are used to locate automatically all the damage positions correctly. The very nice results obtained with this first experimental application of modal filters based on strains show the real interest of this very simple method for output-only non-model based automated damage localization of real structures.

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“…Unlike conventional adhesive structure or repair patch repair technique, as the piezoelectric material has good effect on electromechanical coupling with piezoelectric properties and high sensitivity, it can be used as intelligent drive components and the structure of sensing element. Thus, the piezoelectric patch repair technique can be applied to the piezoelectric film actuation voltage to achieve the active intelligent control of structure containing defect [6][7][8] . However, the piezoelectric patch repair technique has its shortcomings and deficiencies, such as the mismatch between the piezoelectric properties of composite materials, and the small adhesive interface cracks resulting from the greater stress concentration during the process of manufacturing.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis for the Interlayer Toughening of Piezoelectric Smart Composite Plate

Bai

Wang

2014

Polymers and Polymer Composites

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The piezoelectric composite material could engender stress concentration resulting from small cracks during layers easily, as the cracks growth will lead to the failure of the whole structure. In this paper, a finite element model for piezoelectric composite materials by ABAQUS including interlayer crack was established, and the J integral and crack tip stress of different types PZT patches were calculated by using the equivalent integral method. Then, the J integral for adhesive layers with different thickness, elastic modulus considering and not considering piezoelectricity was investigated. The results show that the J integral of mode I, II reduces with thicker adhesive layer and lower elastic modules, and the J integral of mode II decreases more sharply than that of mode I.

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Surface strain distribution method for delamination detection using piezoelectric actuators and sensors

Cited by 9 publications

References 17 publications

Local modal filters for automated data-based damage localization using ambient vibrations

Local modal filters for automated data-based damage localization using ambient vibrations

Experimental Localization of Small Damages Using Modal Filters

Numerical Analysis for the Interlayer Toughening of Piezoelectric Smart Composite Plate

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