Experimental Research on Shear Failure Monitoring of Composite Rocks Using Piezoelectric Active Sensing Approach

Liu, Yang; Ye, Yicheng; Wang, Qihu; Wang, Weiqi

doi:10.3390/s20051376

Cited by 7 publications

(5 citation statements)

References 62 publications

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“…In structural health monitoring, the damage degree of structure or component is defined as damage index, which is a quantitative measure. Generally, the parameters related to the structural characteristic parameters, such as the elastic modulus and the energy of monitoring signal, are selected to judge the damage degree quantitatively [67]. Finally, the damage index can be defined as [68]:…”

Section: Wavelet Packet-based Damage Identification Approachmentioning

confidence: 99%

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Experimental Study on Damage Identification of Nano-SiO2 Concrete Filled GFRP Tube Column Using Piezoceramic Transducers

Chen

2020

Sensors

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This paper proposes a new approach to damage detection of nano-SiO2 concrete-filled glass fiber reinforced polymer (GFRP) tube column using piezoceramic transducers. Stress waves are emitted and received by a pair of piezoceramic transducers embedded in the concrete-filled GFRP tube, and the energy and damage indices at different levels of loading in the tube are obtained by wavelet packet to evaluate the damage degree of GFRP tube nano-SiO2 concrete column. Through the experimental studies, the effects of different nano-SiO2 contents, concrete grades, and superplasticizer on the damage were analyzed to gain load–displacement curves, load–energy index curves, and load–damage index curves. The results show that the wave method can be adopted to monitor the damage of GFRP tube nano-SiO2 concrete column. The specimens with 3% nano-SiO2 content have the smallest energy change rate, indicating that adding 3% nano-SiO2 content into concrete can effectively delay the development of damage. After the addition of superplasticizer, with the increase in the strength grade of concrete, the cracks in the specimen tend to develop slowly, and therefore the specimens have a stronger resistance to damage. The damage of the specimens with the nano-SiO2 content of 1% appeared the latest, while the damage without the nano-SiO2 specimen appeared the fastest. The experimental results show that this method can better monitor the damage of the Nano-SiO2 concrete in the glass fiber reinforced polymer (GFRP) tube.

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Section: Wavelet Packet-based Damage Identification Approachmentioning

confidence: 99%

“…Sensors 2020, 20, x FOR PEER REVIEW 5 of 21 selected to judge the damage degree quantitatively [67]. Finally, the damage index can be defined as [68]:…”

Section: Specimen Designmentioning

confidence: 99%

Experimental Study on Damage Identification of Nano-SiO2 Concrete Filled GFRP Tube Column Using Piezoceramic Transducers

Chen

2020

Sensors

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“…One research areaisthe study of CM destruction processes under shear force [4,5]. In studies of the destruction of CM by transverse force, the concept of the destruction of CM represented as a bundle of fibers (FBM model) has become widespread [6,7].…”

Section: Introductionmentioning

confidence: 99%

Amplitude-Energy Parameters of Acoustic Radiation with Composite Properties Changing and Mieses Destruction

Filonenko,

Stakhova

2023

JAMRIS

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The paper considers the modeling results influence of parameter that characterize composite properties on acoustic emission energy parameters during the composite material destruction by shear forces according to von Mises criterion. It is shown that the analyzed parameter increases a non-linear decrease of acoustic radiation maximum and total energy is occurs. It is determined that obtained patterns decrease of acoustic emission signals maximum and total energy are well described by power functions. It is shown that the most sensitive parameter of acoustic radiation to change the parameter characterizing composite properties is the acoustic emission signals total energy. It is determined that a decrease of acoustic emission signals maximum energy is ahead to decrease the maximum amplitude, and a decrease of acoustic emission signals total energy is ahead to decrease the maximum energy.

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“…Some scholars use the maximumlikelihood estimation (MLE) technology to determine the target angle of arrival (DOA) under main lobe interference, study the adaptive main lobe interference suppression technology for monopulse radar, and propose a digital beamforming structure and processing algorithm. One main lobe interference and multiple side lobe interferences are reset to zero to ensure the accuracy of the monopulse radar's estimation of the target DOA [22].…”

Section: Introductionmentioning

confidence: 99%

Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm

Wu¹

2021

Discrete Dynamics in Nature and Society

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Based on the active interference suppression algorithm, this study combines the radar working mode and the interference type and realizes the effective detection of the flaw detection signal by successively processing the radar receiving signal and the filtering processing. Firstly, this article builds a simulation platform similar to the actual situation to verify the existing conventional active interference suppression algorithms. Secondly, for the detection of chirp active deception jamming signals entering from the main lobe, a radar active deception jamming detection method based on the characteristic parameter matching of the harmonic components of active deception jamming signals is proposed. After that, the spectral characteristics of the harmonic components of the deception interference signal are analyzed, and the center frequency and the tuning frequency of the real target echo are obtained. Finally, by establishing a frequency modulation parameter library for possible interference harmonic signal components, the acquisition phase of the radar gate by the jammer matched analysis with the preestablished frequency modulation parameter library is implemented to achieve active deception interference detection. This method can effectively detect active deception jamming signals in a complex tunnel environment. The interference suppression algorithms verified by simulation include noise FM interference suppression algorithm based on cancellation and distance false target interference suppression algorithm based on LFM radar summary processing. Through actual measurement data processing and analysis, the effectiveness of the method is verified and the idea of interference suppression is expanded. The construction of the simulation platform is obtained by appropriately modifying the actual parameters, a certain type of suppression jammer, and a certain type of deception jammer used in a certain countermeasure field test at a radar station.

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Experimental Research on Shear Failure Monitoring of Composite Rocks Using Piezoelectric Active Sensing Approach

Cited by 7 publications

References 62 publications

Experimental Study on Damage Identification of Nano-SiO2 Concrete Filled GFRP Tube Column Using Piezoceramic Transducers

Experimental Study on Damage Identification of Nano-SiO2 Concrete Filled GFRP Tube Column Using Piezoceramic Transducers

Amplitude-Energy Parameters of Acoustic Radiation with Composite Properties Changing and Mieses Destruction

Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm

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