A Comparison of Some Methods for Structural Damage Detection

Rezvani, Kamal; Maia, N. M. M.; Sabour, Mohammad Hossein

doi:10.24200/sci.2017.4494

Cited by 11 publications

(16 citation statements)

References 15 publications

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“…Accordingly, it has been documented that nano-HA and nanocarbonate apatite penetrate into the intercrystalline spaces and rod sheaths. Therefore, these nanoparticles enhance the superficial enamel smoothness and block up surface defects (16,17) .…”

Section: Discussionmentioning

confidence: 99%

“…It has been suggested that the Nano-HA would lead to a considerably superior remineralization. (16)(17)(18)(19)(20) Nano-Bioglass®45S5 (Nano-BG) is a bioactive implant material that stimulates bone repair. In an aqueous environment, this material undergoes a series of reactions, resulting in the formation of a surface layer made of hydroxy-apatite and/ or hydroxycarbonate apatite.…”

Section: Introductionmentioning

confidence: 99%

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The effect of different biomimetic materials as a remineralization protocol on microhardness and ultramorphology of bleached enamel

Hafez

Moussa

2018

Egyptian Dental Journal

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Aim: To compare the effect of Nano-HA and Nano-BG as remineralizing protocol on the microhardness and structural morphology of bleached enamel. Materials and methods: Two different biomimetic materials were used; Nano-bioactive glass powder and Nanohyroxyapatite powder. Five extracted sound human central incisors were selected. The labial of each tooth was divided longitudinal into two equal halves. The mesial half was assigned for BG group and the distal half was assigned for HA group. A total number of 20 Specimens were randomly divided into 4 groups (5specimens each). Group1 represent sound unbleached enamel, group2 represent bleaching enamel surface, and group3 represents remineralization by BG and group4 represents remineralization by HA. The specimens in group2 were bleached using 40% Hydrogen Peroxide following the manufacturers' instructions. For Nano-BG group: a mixture of bioactive glass 45S5 powder with particle size (25-120 um) with poly-acrylic acid powder was done (PAA-BAG). Then, one milliliter of the artificial saliva was added then was applied on the bleached enamel surface followed by rinsing for one minute.For Nano-HA group: HA mixed with distilled water then was applied to bleached enamel surface followed by rinsing. All specimens were subjected to de and remineralization cycles. Surface Micro-hardness of the specimens (before bleaching after bleaching and after remineralization protocol) was determined and the mean microhardness values of the specimens were calculated, tabulated and statistically analyzed using one way analysis of variance (ANOVA) and Tukey post hoc tests were used to study the significance. The surface morphology of two representative sample of each tested group were examined using scanning electron microscope attached with energy dispersive X-ray analyzer. Results: Microhardness results revealed that the greatest mean value was recorded in unbleached enamel, followed by remineralized enamel with Nano-BG, then remineralized enamel with Nano-HA, with the least value in bleached enamel. ANOVA test revealed that the difference was extremely statistically significant (p<0.0001). Tukey's post hoc test revealed no significant difference between unbleached enamel and remineralized enamel with Nano-BG. Moreover, there was no significant remineralized enamel with Nano-HA and remineralized enamel with Nano-BG. This was associated with some morphological changes in the enamel surfaces between different tested groups.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The effect of different biomimetic materials as a remineralization protocol on microhardness and ultramorphology of bleached enamel

Hafez

Moussa

2018

Egyptian Dental Journal

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“…Common SSI input matrix is pre and post multiplied with the before mentioned weight matrices to determine the system matrices, which is used for modal parameters extraction. For a detail description of the methods the reader is referred to [21,22].…”

Section: Data Acquisitionmentioning

confidence: 99%

Damping estimation of a double layer grid with ball joint system by output-only modal identification

et al. 2019

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Modal parameters of large civil engineering structures such as modal damping ratios (MDRs) are determined mainly by output-only modal identification. In this paper, MDRs of a double layer grid were obtained using output-only modal identification. For this purpose, a double layer grid constructed from ball-joint system was tested. Doing some random tapping on the structure, the acceleration response in multiple locations was measured. The acquired data was processed using output-only modal identification to arrive at MDRs. The MDRs corresponding to the first eight modes of the grid were extracted by five output-only modal identification techniques; namely enhanced frequency domain decomposition (EFDD), curve-fit frequency domain decomposition (CFDD) and three different methods of data-driven stochastic subspace identification. To determine the appropriate model order used in SSI methods, a sensitivity analysis was carried out and the resulting number of order was 200. The proper frequency resolution of 1600 was also determined to estimate the MDRs of the grid by EFDD and CFDD. The results showed that the MDRs of the grid, obtained from different methods, are in good agreement with each other. The grid has very low MDRs, as the MDRs of the modes measured from different methods varied from 0.06% to 0.11%.

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“…Haider et al [17] found the material properties of the circular piezoelectric sensor at varying temperatures (50 °C -250 °C). Rezvani et al [18] compared four different methods to identify the damages in the structures. A steel beam with constant rectangular cross-section was used to compare these methods.…”

Section: Introductionmentioning

confidence: 99%

Curve/Probabilistic Fitting of Damage Metrics for Al-7075 Materials Behavior by Using Electromechanical Impedance Method

2021

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The purpose of structural health monitoring is to provide information by making a simultaneous diagnosis of the status of the structure. Despite aging, environmental conditions and unforeseen circumstances, the construction should remain as specified in the design. Changing the environmental conditions causes the sensor and the host structure to change material properties. It is essential to take into account environmental conditions to prevent misdiagnosis. Therefore, the real cause of the change can be determined. In this study, the behavior of constrained piezoelectric wafer active sensor (PWAS)/Al 7075 was investigated by using electromechanical impedance method (EMI) under changing environmental conditions. Numerical studies on this material in the literature are limited and all the experimental/ numerical results are compensated for the temperature effect and analyzed using curve/probabilistic fitting approach for the first time. The sample used in the experimental work was modeled in ANSYS finite element program. In the experimental and numerical results, it has been observed that as the temperature decreases, the frequency shifts to the right and the amplitude increases. The experimental and simulation results were nearly the same. The temperature effect was compensated using the compensation algorithm for experimental and numerical studies. The results were compared using damage metrics. The experimental results analyzed using a curve/probabilistic fitting approach.

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A Comparison of Some Methods for Structural Damage Detection

Cited by 11 publications

References 15 publications

The effect of different biomimetic materials as a remineralization protocol on microhardness and ultramorphology of bleached enamel

The effect of different biomimetic materials as a remineralization protocol on microhardness and ultramorphology of bleached enamel

Damping estimation of a double layer grid with ball joint system by output-only modal identification

Curve/Probabilistic Fitting of Damage Metrics for Al-7075 Materials Behavior by Using Electromechanical Impedance Method

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