Modeling of Energy Spectrum of Acoustic-emission Signals in Dynamic Deformation Processes of Medium with Microstructure

Marasanov, V. V.; Sharko, A. V.; Sharko, Artem; Stepanchikov, Dmitry

doi:10.1109/elnano.2019.8783809

Cited by 10 publications

(7 citation statements)

References 14 publications

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“…The force constants that denote the properties of such a discrete model are determined through the parameters of the elastic bonds. The effective characteristics of the bonds are found from the interaction potential of atoms [33].…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Generation of Vibration Signals under Uniaxial Loading of Materials Using the Coherent Properties of Laser Radiation

Louda

Sharko

2020

Materials

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The present article describes the results of theoretical and experimental investigations of the force response of materials to external tensile stresses. The method used is based on remote precision measurements of the amplitudes of the harmonics of vibration signals and synchronous fixation of deformations under load. It was determined that the shape of the propagating acoustic signal depends not only on the bias time, but also on the frequency. In addition, fixation of the moments of occurrence of the vibrational signals and determination of the number of excesses in the amplitudes of harmonics over the discrimination level allows structural models to be studied in order to diagnose the strength properties of materials under dynamic loading of solids. The experimental setup consisted of a P100 Labtest-2 tearing machine providing a loading speed of 6.22 mm/min, a Polytech PSV–400 vibrometer including lasers, and a computer. Measurements were made at frequencies of 0.4, 1.6, and 40 kHz. An analysis of the mathematical models of the occurrence and propagation of acoustic signals in a material under load is presented, and the features of their application are reported. Transferring the moments of occurrence of vibrational signals to a strain diagram from the applied load allows the development of physical processes of hardening and destruction of materials to be traced. The occurrence of vibrational signals under load can be used as an information parameter for the diagnosis of developing defects in the structure of materials under load.

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Section: Discussionmentioning

confidence: 99%

Analysis of the Generation of Vibration Signals under Uniaxial Loading of Materials Using the Coherent Properties of Laser Radiation

Louda

Sharko

2020

Materials

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“…An acoustic emission sensor ( 12) is installed directly on the sample at its end. To assess the degree of loading of the sample, simultaneously with the timer (8), the signal is fed to the strain gauge (9) and to the digital deflection indicator (10) and then through the microprocessor (11) to the computer (16). A signal from the AE sensor ( 12) is also fed here through the information unit (13), the unit for accumulating and processing information (14), and the AE recording device (15).…”

Section: Methodsmentioning

confidence: 99%

“…During the operation of structures, periodic control of deformation deviations from the design values and static monitoring of deformations are performed [ 1 , 2 , 3 , 4 , 5 , 6 ]. There are several traditional methods for assessing stresses, e.g., the method of drilling holes, the method for determining stresses by measuring the surface hardness [ 7 ], methods using surface waves [ 8 , 9 ], the phenomenon of acoustoelasticity and interferometry [ 10 , 11 ], X-ray methods [ 12 ], electromagnetic methods [ 13 ], tensometric methods [ 14 ], magnetic resonance methods [ 15 ], and acoustic emission [ 16 ].…”

Section: Relative Workmentioning

confidence: 99%

An Acoustic Emission Method for Assessing the Degree of Degradation of Mechanical Properties and Residual Life of Metal Structures under Complex Dynamic Deformation Stresses

2021

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An acoustic emission method for assessing the degree of degradation of mechanical properties under conditions of complex dynamic deformation stresses is proposed. It has been shown that changing the operating conditions of metal structures, peak loads, external collisions, and thermally changing loads, which cannot be taken into account, leads to uncertainty and unpredictable structural changes in the material. This in turn makes it difficult to identify the state of the structure material to ensure trouble-free operation of the equipment. Changes in the mechanical properties under difficult loading conditions are identified by polynomial approximation of the results of AE measurements and the construction of boundary curves separating the operability region from the fracture region. This is achieved by approximating the experimental dependences of the acoustic parameters for various types of loading. This approach significantly expands the capabilities of the technical means of identification systems of metal structures, and in particular, allows the current state of the equipment and its suitability for further operation to be assessed without stopping the equipment in real time. It is of interest not only to fix the damage, but also to diagnose the processes of reducing the mechanical properties during the operation of the equipment.

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“…where S is the formed experienced reactions. At the same time, an important element of analyzing the situation context is the ability to deeply identify and process incoming signals from sensors [29,30]. In turn, the navigator's identification ability depends on the sequential concentration of attention on several information sources, which can be expressed in the form of p-adic structures [31].…”

Section: Research Materials and Methodsmentioning

confidence: 99%

Navigation safety control system development through navigator action prediction by data mining means

Nosov

Zinchenko

Ben

et al. 2021

EEJET

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Taking into account current trends in the development of ergatic maritime transport systems, the factors of the navigator’s influence on vessel control processes were determined. Within the framework of the research hypothesis, to improve navigation safety, it is necessary to apply predictive data mining models and automated vessel control. The paper proposes a diagram of the ergatic vessel control system and a model for identifying the influence of the navigator “human factor” during navigation. Within the framework of the model based on the principles of navigator decision trees, prediction by data mining means is applied, taking into account the identifiers of the occurrence of a critical situation. Based on the prediction results, a method for optimal vessel control in critical situations was developed, which is triggered at the nodes of the navigator decision tree, which reduces the likelihood of a critical impact on vessel control. The proposed approaches were tested in the research laboratory “Development of decision support systems, ergatic and automated vessel control systems”. The use of the Navi Trainer 5,000 navigation simulator (Wärtsilä Corporation, Finland) and simulation of the navigation safety control system for critical situations have confirmed its effectiveness. As a result of testing, it was determined that the activation of the system allowed reducing the likelihood of critical situations by 18–54 %. In 11 % of cases, the system switched the vessel control processes to automatic mode and, as a result, reduced the risk of emergencies. The use of automated data mining tools made it possible to neutralize the negative influence of the “human factor” of the navigator and to reduce the average maneuvering time during vessel navigation to 23 %

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Modeling of Energy Spectrum of Acoustic-emission Signals in Dynamic Deformation Processes of Medium with Microstructure

Cited by 10 publications

References 14 publications

Analysis of the Generation of Vibration Signals under Uniaxial Loading of Materials Using the Coherent Properties of Laser Radiation

Analysis of the Generation of Vibration Signals under Uniaxial Loading of Materials Using the Coherent Properties of Laser Radiation

An Acoustic Emission Method for Assessing the Degree of Degradation of Mechanical Properties and Residual Life of Metal Structures under Complex Dynamic Deformation Stresses

Navigation safety control system development through navigator action prediction by data mining means

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