The Theory of Similarity and Analysis of Dimensions for Determining the State of Operation of Structures under Difficult Loading Conditions
Status PubMed-not-MEDLINE Language English Country Switzerland Media electronic
Document type Journal Article
PubMed
35161135
PubMed Central
PMC8838286
DOI
10.3390/ma15031191
PII: ma15031191
Knihovny.cz E-resources
- Keywords
- complex loads, modeling efficiency, residual life, similarity theory,
- Publication type
- Journal Article MeSH
A simulation mathematical model of the state of operability of metal structures under difficult operating conditions without stopping the equipment was developed in the form of similarity criteria found on the basis of the laws of conservation of data obtained experimentally during tensile and four-point bending tests. Criteria are proposed for the similarity of the state of the material of the samples and the products in service, in which the kinetics of destruction are determined through the rate of damage accumulation and the movement of the structural components of the material. The residual life of the equipment under conditions of complex deformation effects was determined based on the theory of similarity and the analysis of the dimensions of the parameters of acoustic emission in real time. The use of concepts and models of fracture mechanics when creating methods and criteria for assessing the results of diagnostics and monitoring allows important information about the technical state of objects to be obtained.
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Diagnostic of Machine of Using Performance Parameter. General Guidelines. International Organization for Standardization; Geneva, Switzerland: 2002.
Standard Guide for Acoustic Emission System Performance Verification. ASTM; West Conshohocken, PA, USA: 2004.
Peng X., Zhao Y., Small M. Identification and prediction of bifurcation tipping points using complex networks based on quasi-isometric mapping. Phys. A Stat. Mech. Appl. 2020;560:125108. doi: 10.1016/j.physa.2020.125108. DOI
Sajadi A., Preece R., Milanovi’c J. Identification of transient stability boundaries for power systems with multidimensional uncertainties using index-specific parametric space. Int. J. Electr. Power Energy Syst. 2020;123:106152. doi: 10.1016/j.ijepes.2020.106152. DOI
Ghimbaseanu I. Comparative analysis of an method for calculating the Parametres of Mecahnical tensile strength testing. Metal. Int. 2012;17:110–112.
Marasanov V., Stepanchikov D., Sharko A., Sharko O. Technology for Determining the Residual Life of Metal Structures Under Conditions of Combined Loading According to Acoustic Emission Measurements; Proceedings of the Data Stream Mining & Processing. DSMP Communications in Computer and Information Science; Lviv, Ukraine. 21–25 August 2020; Cham, Switzerland: Springer; 2020. pp. 202–217.
Lyasota I., Sarniak Ł., Kustra P. Acoustic emission analysis of the plastic deformation stages of degraded low-carbon steel after long-term operation in the oil refining and petrochemical processing. Arch. Metall. Mater. 2019;64:143–151.
Porziani S., Augugliaro G., Brini F., Brutti C., Chiappa A., Groth C., Mennuti C., Quaresima P., Salvini P., Zanini A., et al. Structural integrity assessment of pressure equipment by Acoustic Emission and data fractal analysis. Procedia Struct. Integr. 2020;25:246–253. doi: 10.1016/j.prostr.2020.04.029. DOI
Chisari C., Guarnaccia C., Rizzano G. Numerical simulation of acoustic emission activity in reinforced concrete structures by means of finite element modelling at the macroscale. Struct. Health Monit. 2020;19:537–551. doi: 10.1177/1475921719856833. DOI
Buj-Corral I., Álvarez-Flórez J., Domínguez-Fernández A. Acoustic emission analysis for the detection of appropriate cutting operations in honing processes. Mech. Syst. Signal Processing. 2018;99:873–885. doi: 10.1016/j.ymssp.2017.06.039. DOI
Dai C., Cheng T., Zong L., Luo X. A study on spectrum characteristics of red sandstone acoustic emission signals based on improved EEMD. Zhendong Yu Chongji/J. Vib. Shock. 2018;37:118–123.
Sause M.G.R., Schmitt S., Kalafat S. Failure load prediction for fiber-reinforced composites based on acoustic emission. Compos. Sci. Technol. 2018;164:24–33. doi: 10.1016/j.compscitech.2018.04.033. DOI
Hudramovich V.S., Sirenko V.N., Klimenko D.V., Daniev Y.F., Hart E.L. Development of the Normative Framework Methodology for Justifying the Residual Resource of Starting Buildings’ Constructions of Space Launch Vehicles. Strength Mater. 2019;51:333–340. doi: 10.1007/s11223-019-00079-4. DOI
Korolkov D., Bolodyan G., Gravit M. Estimation Residual Resource of Unreinforced Stone Structures by Changing the Parameters Masonry. Lect. Notes Civ. Eng. 2022;180:335–346.
Li H., Dong Y., Huang Z., Gao H., Tao S. Similarities Detection and Analysis of Tire Patterns Based on Similarity Theory. Zhongguo Jixie Gongcheng/China Mech. Eng. 2021;32:1646–1652.
Cao X., Wang Z., Wang W., Dong X. Application of Similarity Theory for Dynamic Characteristics Prediction of Crane Flexible Truss Boom. Math. Probl. Eng. 2020;2020:4273810. doi: 10.1155/2020/4273810. DOI
Korobiichuk I., Kuzmych L., Kvasnikov V. The system of the assessment of a residual resource of complex technical structures. Adv. Intell. Syst. Comput. 2020;1044:350–357.
Kobayashi A.S., editor. Handbook on Experimental Mechanics. John Wiley & Sons, Incorporated; Hoboken, NJ, USA: 1992. 1074p
Louda P., Sharko A., Stepanchikov D. An Acoustic Emission Method for Assessing the Degree of Degradation of Mechanical Properties and Residual Life of Metal Structures under Complex Dynamic Deformation Stresses. Materials. 2021;14:2090. doi: 10.3390/ma14092090. PubMed DOI PMC
Marasanov V.V., Sharko A.V., Sharko A.A. Boundary problems of determining the energy spectrum of acoustic emission signals in conjugated continuous media. Cybern. Syst. Anal. 2019;55:170–179. doi: 10.1007/s10559-019-00195-8. DOI
Aleksenko V., Sharko A., Smetankin S., Stepanchikov D., Yurenin K. Detection of Acoustic-Emission Effects During Reloading of St3sp Steel Specimens. Tech. Diagn. Non-Destr. Test. 2017;4:25–31. doi: 10.15407/tdnk2017.04.04. DOI
Aleksenko V., Sharko A., Sharko A., Stepanchikov D., Yurenin K. Identification by Acoustic Emission Method of Structural Features of Deformation Mechanisms at Bending. Tech. Diagn. Non-Destr. Test. 2019;1:32–39.
