List of publications in 2018, in which our employees participated:
V.A. Barat, D.V. Chernov, S.V. Elizarov. Method for Assessing the Likelihood of Fatigue Crack Detecting. Proceedings of the 33rd Conference of the European Working Group on Acoustic Emission, Senlis, France, 12-14 September 2018 https://www.ndt.net/article/ewgae2018/papers/76.pdf (full text)
Abstract
An estimation of the probability of defect detection (POD) is an actual task of acoustic emission (AE)testing. Despite the fact that AE testing is the most sensitive method of NDT, the POD is difficult to estimate. The probability depends on a set of random factors also not directly related to the size of the defect. The probability of detecting defects is currently being studied by many researchers, but the proposed approaches are not yet applied in practice. In the frame of this work, the method allowing to estimate the probability of fatigue crack with help of AE testing method was developed. This method allows to calculate the probability of fatigue defect detection taking into account the following factors: the stage of defect growing, the distance between AE source and sensor and the noise level.
V. Barat, D.A. Terentyev, S. Elizarov. Statistical non-parametrical algorithm for Acoustic Emission impulses detection adapted on the basis of modal analysis approach. Proceedings of the 33rd Conference of the European Working Group on Acoustic Emission, Senlis, France, 12-14 September 2018 https://www.ndt.net/article/ewgae2018/papers/78.pdf (full text)
Abstract
This work is devoted to the study of a nonthreshold method for detecting acoustic emission impulses.As a method of impulse detection, a statistical ranking algorithm based on comparing the ranks of samples in two neighboring sliding windows is considered. To select the setting parameters of the algorithm and verify its reliability, the modal analysis method is used. The modal analysis is a mathematically exact method that leads to a closed integral equation for the elastic fields in the waveguide and which naturally includes the problem of the selectivity of the mode, offering an idea of the physics of waveguide behavior. The non-threshold algorithm developed in the framework of this paper was tested using 10000 model signals. The results of the research showed its high reliability and accuracy. A numerical experiment based on model signals showed that using the proposed nonparametric rank detection algorithm, in comparison with the threshold method, the location error has decreased by 1.5-2 times.
Bardakov V.V., Barat V.A., Sagaidak A.I., Elizarov S.V. Acoustic Emission Behaviour of Overreinforced Concrete Beams. International Journal of Civil Engineering and Technology. 2018. Т. 9. № 8. С. 1583-1594. https://iaeme.com/MasterAdmin/Journal_uploads/IJCIET/VOLUME_9_ISSUE_8/IJCIET_09_08_159.pdf (full text). eLibrary ID: 38613439
Abstract
The paper presents the results of the conducted experimental studies on three-point bend testing of over-reinforced concrete beams with incremental cyclic load, up to destruction, using the acoustic emission method. In total 3 RC beams differ from each other in reinforcement type, concrete composition and ultimate load were tested. Special attention is paid to the investigation of the relationship between destructive processes occurring during the testing of reinforced concrete beams and the evolution of acoustic emission data registered during the test. The analysis described in the article makes it possible, on the basis of acoustic emission data, recorded during the tests, to distinguish the stages corresponding to the different technical state of over-reinforced concrete structures.
Bardakov V.V., Sagaidak A.I., Elizarov S.V., Barat V.A. Acoustic Emission Behaviour of Reinforcement Concrete Beams Subjected to 3 Point Bending. Proceedings of the 33rd Conference of the European Working Group on Acoustic Emission, Senlis, France, 12-14 September 2018. Pp. 523-534. https://www.ndt.net/article/ewgae2018/papers/77.pdf (full text)
Abstract
The paper presents the results of the conducted experimental studies on three-point bend testing of reinforced concrete beams with incremental cyclic load, up to destruction, using the acoustic emission method. Special attention is paid to the investigation of the relationship between destructive processes occurring during the testing of reinforced concrete beams and the evolution of acoustic emission data registered during the test. The analysis described in the article makes it possible, on the basis of acoustic emission data, recorded during the tests, to distinguish the stages corresponding to the different engineering status of reinforced concrete structures.
Bardakov V.V., Sagaidak A.I., Elizarov S.V., Barat V.A. Test of bending reinforced concrete structures by means of acoustic emission method. Journal of Acoustic Emission. 2018. Т. 35. С. S390-S401. http://www.aewg.org/jae/JAE-Vol_35-EWGAE-33.pdf (full text)
Abstract
The paper presents the results of the conducted experimental studies on three-point bend testing of reinforced concrete beams with incremental cyclic load, up to destruction, using the acoustic emission method. Special attention is paid to the investigation of the relationship between destructive processes occurring during the testing of reinforced concrete beams and the evolution of acoustic emission data registered during the test. The analysis described in the article makes it possible, on the basis of acoustic emission data, recorded during the tests, to distinguish the stages corresponding to the different engineering status of reinforced concrete structures.
Elizarov S.V., Barat V.A., Terentyev D.A., Kostenko P.P., Bardakov V.V., Alyakritsky A.L., Koltsov V.G., Trofimov P.N. Acoustic emission monitoring of industrial facilities under static and cyclic loading. Applied Sciences (Switzerland). 2018. Т. 8. № 8. С. 1228. DOI: 10.3390/app8081228 (full text). https://www.mdpi.com/2076-3417/8/8/1228 (full text). https://www.ndt.net/article/ndt-review/papers/applsci-08-01228.pdf (full text). eLibrary ID: 35732329
Abstract
Acoustic emission (AE) testing is traditionally carried out on non-operating objects. Such requirement is associated both with the Kaiser effect, leading to the necessity for exceeding the test load above the working one and with a high level of noise during object operation. However, AE testing could be performed under operating conditions, if the AE data acquisition period is increased and a specialized method is developed, which should take account of the effect of various noise, features of the object loading under operating conditions, the effect of damaging factors and possible destruction mechanisms. This paper investigates the possibility to carry out structural health monitoring (SHM) of hydrotreaters, highway bridges, high-temperature pipelines, gas adsorbers, roller bearings of rotary kilns and draglines on the basis of AE method. Architecture of SHM-system and specific data analysis procedures are proposed.
Matuynin V.M., Barat V.A., Marchenkov A.Y., Chernov D.V., Elizarov S.V. Determination of the Residual Life of Steel Specimens According to Acoustic Emission Data with an Artificial Neural Network. International Journal of Mechanical Engineering and Technology. 2018. Т. 9. № 9. С. 1039-1047. https://iaeme.com/MasterAdmin/Journal_uploads/IJMET/VOLUME_9_ISSUE_9/IJMET_09_09_113.pdf (full text). eLibrary ID: 38629976
Abstract
In this paper, we consider one possible approach to solving the residual life prediction problem, based on the use of the acoustic emission (AE) method. With the development fatigue cracks generate AE waves. By the activity and energy of AE, it is possible to determine the stage of development of the fatigue defect and estimate the residual life. The object of the study in this paper was steel specimens, made of low-carbon alloyed steel. Specimens were subjected to cyclic loading up to failure, during the growth of fatigue cracks, AE signals were recorded. The parameters of the acoustic signals were used as informative signs for determining the state of the loaded object. An artificial neural network was used as a prognostic model.
Sagaydak A., Zimnukhov D., Krylov S., Konstantin S., Bardakov V. Adhesion Testing Between Concrete and Reinforcement by Acoustic Emission Method. 2nd International Workshop on Durability and Sustainability of Concrete Structures, DSCS 2018. Moscow, June 5-8, 2018. SP-326: American Concrete Institute, ACI Special Publication. 2018, V. 326, pp. 109.1-109.10. eLibrary ID: 38624903
Vasilev I.E., Matvienko Yu.G., Elizarov S.V., Chernov D.V. Method of acoustic-emission monitoring of degradation of material structure and predicting residual product strength. Russian patent №2690200 (2019). eLibrary ID: 39389050
Abstract
Field: physics. Substance: use: to monitor degree of degradation of material structure and to predict residual strength of product using acoustic emission diagnostics. Summary of invention consists in the fact that in process of acoustic-emission monitoring of article during breaking of registered acoustic-emission pulses into clusters of lower, average and upper energy level by value of relative energy is calculated not only accumulation of weight content of localized pulses, reflecting micro, meso and macro-structural processes of material destruction, but also the number of recorded location pulses per unit time (recording frequency) in clusters H, C, B, which are used together with weight parameters to assess degree of degradation of structure of material and forecast of residual strength and loss of bearing capacity by article. Effect: possibility of improving reliability and accuracy of assessment of degree of degradation of structure of article material and forecast of its residual strength without involving other methods of technical diagnostics and nondestructive testing.
Matvienko, Yu. G.; Vasil’ev, I. E.; Chernov, D. V.; Elizarov, S. V. Criterion Parameters for Assessing Degradation of Composite Materials by Acoustic Emission Testing. Russian Journal of Nondestructive Testing, 2018, 54, 12, pp. 811-819. DOI: 10.1134/S1061830918120070. eLibrary ID: 38702905
Abstract
A concept of monitoring the degree of degradation in the multilayered structure of polymer composite package has been developed at the laboratory for modeling damage and failure of machines at Mechanical Engineering Research Institute, RAS. The concept is intended for real-time acousticemission testing of products and employs new criterion parameters that reflect the percentage of location pulses in energy clusters characterizing the processes of destruction of material structure at the micro-, meso-, and macro-scale levels. The developed procedure, algorithm, and software for monitoring the process of degradation in the multilayered structure of polymer composite material package and predicting the residual strength of the product have been successfully tried in static tensile bench tests with a structurally similar sample of aircraft panel containing a honeycomb polymer filler.
Chernov, D. V.; Matyunin, V. M.; Barat, V. A.; Marchenkov, A. Yu.; Elizarov, S. V. Investigation of Acoustic Emission in Low-Carbon Steels during Development of Fatigue Cracks. Russian Journal of Nondestructive Testing , 2018, 54, 9, pp. 638-647. DOI: 10.1134/S1061830918090024. eLibrary ID: 38647792
Abstract
AE control results for cyclic tests of metal samples with a notch are presented. The main stages of the fatigue crack development and standard AE parameters are matched. A criterial plane which allows to separate clusters corresponding to the stages of stable and avalanche-like defect growth has been constructed. It is shown that the boundaries of clusters remain unchanged irrespectively to the differences in the kinetics of damage development.