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Introduction. Before repairing or reconstructing steel structures, it is necessary to obtain information about the strength capacities of the metal. The estimated service life of metal structures is tens of years, but it is known that the mechanical properties of the original metal change over time. Additionally, many facilities operate beyond these anticipated lifespans. As some researchers have noted, the challenge of obtaining such information is due to several factors. Firstly, in most cases, it is impossible to cut samples from existing structures. Secondly, the use of non-destructive testing methods needs to ensure sufficient accuracy in assessment. Thirdly, non-destructive testing may not be physically possible due to the design features of the object. Fourthly, survey work on the operating structure can be very laborious and expensive, requiring a reduction in volume and cost. Fifthly, when assessing the mechanical characteristics of the metal, it is important to apply an approach that guarantees the accuracy of results while minimizing work by utilizing previously obtained information on similar metals. Given these challenges, the development of a methodology that combines non-destructive testing with prior information is crucial.In non-destructive testing of structures, methods for qualitative assessment of the condition of metal or welded joints are used, such as ultrasonic, magnetic, and radiation techniques. There are also quantitative methods for evaluating mechanical characteristics, such as using portable hardness testers. However, most methods for assessing strength characteristics, such as yield strength and temporary tear resistance, are cumbersome and limited to laboratory settings.The methods of clarifying experimental information using a priori data by experts are conventionally divided into three categories:− according to the priority of the weight of a priori and experimental data;− extrapolation of past data to future periods;− based on Bayesian procedures.This article describes a non-destructive strength testing method based on indentation developed with the author's participation and repeatedly tested in actual surveys. The aim of this article is to justify the author's methodology to minimize the amount of required samples during survey work by combining non-destructive testing methods and Bayesian accounting for experimental information.Materials and Methods. The research plan involved analyzing experimental data on the mechanical properties of metals and developing an algorithm to minimize the number of samples of control objects. Before measuring, the metal of the structures was cleaned with a hand grinder. The method of non-destructive testing of the evaluation of mechanical characteristics according to the parameters of the impact insertion of the indenter into the surface under study was used. To minimize the amount of work, a Bayesian approach was used to reduce the variability of posterior values by utilizing additional experimental data on the mechanical characteristics of such steels. The material St3 of strength class KP 245 with yield strength of 245 MPa and tensile strength of 412 MPA was studied. Additional experimental data on this material's properties were available from a previously studied metal structure.Results. The method of non-destructive testing of the strength of metal in pipe structures has been implemented. This method used prior information obtained from previous surveys of similar materials. Based on a Bayesian approach, experimental and previous information was combined, in particular, the values of time resistance to rupture. A method for estimating the minimum required sample size of the examined structural elements was proposed provided there was minimal risk from an estimation error. As a result of calculations, it was shown that the use of such a technique was possible with a sample size of 2–3 elements.Discussion and Conclusion. The proposed methodology was developed based on an analysis of more than 20 surveys conducted to assess the strength of the existing metal structures. Using the non-destructive testing method, we were able to simultaneously determine the yield strength, tensile strength, elongation, and hardness. The article presents data on the values of tensile strength. It should be noted that although the duration of each measurement was 20–30 seconds, in some cases it took longer to inspect large structures, such as bridges, which could take weeks. The calculation performed using the proposed method, which combined experimental and pre-experimental information about one of the strength characteristics of steel, temporary tear resistance, showed the high efficiency and potential for further application in future surveys.
Introduction. Before repairing or reconstructing steel structures, it is necessary to obtain information about the strength capacities of the metal. The estimated service life of metal structures is tens of years, but it is known that the mechanical properties of the original metal change over time. Additionally, many facilities operate beyond these anticipated lifespans. As some researchers have noted, the challenge of obtaining such information is due to several factors. Firstly, in most cases, it is impossible to cut samples from existing structures. Secondly, the use of non-destructive testing methods needs to ensure sufficient accuracy in assessment. Thirdly, non-destructive testing may not be physically possible due to the design features of the object. Fourthly, survey work on the operating structure can be very laborious and expensive, requiring a reduction in volume and cost. Fifthly, when assessing the mechanical characteristics of the metal, it is important to apply an approach that guarantees the accuracy of results while minimizing work by utilizing previously obtained information on similar metals. Given these challenges, the development of a methodology that combines non-destructive testing with prior information is crucial.In non-destructive testing of structures, methods for qualitative assessment of the condition of metal or welded joints are used, such as ultrasonic, magnetic, and radiation techniques. There are also quantitative methods for evaluating mechanical characteristics, such as using portable hardness testers. However, most methods for assessing strength characteristics, such as yield strength and temporary tear resistance, are cumbersome and limited to laboratory settings.The methods of clarifying experimental information using a priori data by experts are conventionally divided into three categories:− according to the priority of the weight of a priori and experimental data;− extrapolation of past data to future periods;− based on Bayesian procedures.This article describes a non-destructive strength testing method based on indentation developed with the author's participation and repeatedly tested in actual surveys. The aim of this article is to justify the author's methodology to minimize the amount of required samples during survey work by combining non-destructive testing methods and Bayesian accounting for experimental information.Materials and Methods. The research plan involved analyzing experimental data on the mechanical properties of metals and developing an algorithm to minimize the number of samples of control objects. Before measuring, the metal of the structures was cleaned with a hand grinder. The method of non-destructive testing of the evaluation of mechanical characteristics according to the parameters of the impact insertion of the indenter into the surface under study was used. To minimize the amount of work, a Bayesian approach was used to reduce the variability of posterior values by utilizing additional experimental data on the mechanical characteristics of such steels. The material St3 of strength class KP 245 with yield strength of 245 MPa and tensile strength of 412 MPA was studied. Additional experimental data on this material's properties were available from a previously studied metal structure.Results. The method of non-destructive testing of the strength of metal in pipe structures has been implemented. This method used prior information obtained from previous surveys of similar materials. Based on a Bayesian approach, experimental and previous information was combined, in particular, the values of time resistance to rupture. A method for estimating the minimum required sample size of the examined structural elements was proposed provided there was minimal risk from an estimation error. As a result of calculations, it was shown that the use of such a technique was possible with a sample size of 2–3 elements.Discussion and Conclusion. The proposed methodology was developed based on an analysis of more than 20 surveys conducted to assess the strength of the existing metal structures. Using the non-destructive testing method, we were able to simultaneously determine the yield strength, tensile strength, elongation, and hardness. The article presents data on the values of tensile strength. It should be noted that although the duration of each measurement was 20–30 seconds, in some cases it took longer to inspect large structures, such as bridges, which could take weeks. The calculation performed using the proposed method, which combined experimental and pre-experimental information about one of the strength characteristics of steel, temporary tear resistance, showed the high efficiency and potential for further application in future surveys.
Introduction. After hardening, a product has residual stresses: structural and thermal. The magnitude of the total stresses in the finished part determines its crack resistance under the influence of operational loads. Quenching in a constant magnetic field affects the process of martensite nucleation, and the kinetics of martensite transformation, as well as the processes of martensite decomposition. However, there is currently no data available on how these changes in structure affect the stress diagram in a heat-treated product. The aim of this study was to investigate the influence of a constant magnetic field during hardening of iron-carbon alloys on the stress distribution across the cross-sectional area of parts.Materials and Methods. The studies were conducted on samples of technical iron, steel 45, and ferritic malleable cast iron. Cylindrical samples with a diameter of 16 mm and ring samples with an outer diameter of 20 and 55 mm were used. The samples were heated in an electric furnace or an induction heating lamp generator LZ-13, and quenched in water or mineral oil. A constant magnetic field with strength of 768 to 1600 kA/m during hardening was created in the bore of a FL-1 electromagnet. Residual stresses were determined using the original method developed by V.A. Blinovskii based on measuring bending deformations in hollow bodies of revolution.Results. The change in temperature on the surface, in the core, and the temperature difference across the cross-section of a cylindrical sample during cooling in water with and without a magnetic field was obtained. The distribution of stresses over the cross-section after quenching with and without a field for industrial iron in still water was studied. The stress distribution over the cross-section was studied after quenching in a field and without a field in calm water, as well as during spray cooling of steel 45 and ferritic ductile cast iron at different rates.Discussion and Conclusion. The obtained calculated and experimental data allowed us to evaluate possible changes in the residual stress diagrams under the influence of a magnetic field after quenching with volumetric and surface heating. A study of the kinetics of cooling in water under the influence of a magnetic field showed that the temperature difference across the cross-section remained practically unchanged, but there was a decrease in the cooling capacity of the water, which contributed to a reduction in the level of thermal stress. Hardening in a magnetic field led to a reduction of residual stresses in iron-carbon alloys. The change in the distribution of total residual stresses during magnetic tempering was due to a change in their structural component. The magnetic field influenced the distribution of structural, thermal and total residual stresses. The reason for the observed effects was the change in the structural state of steel and cast iron and the cooling ability of water-based quenching liquids under the influence of a magnetic field. The reduction of the level of residual stresses during heat treatment in a magnetic field reduced the likelihood of brittle fracture and cracking, led to a decrease in deformation and warping of hardened steels, and created favorable conditions for the operation of parts under conditions of alternating loads and abrasive friction.
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