Research of the parameters of acoustic emission signals during the destruction of the liner material and the power shell of a metal-composite high-pressure cylinder

To The article provides information on the results of studying the parameters of acoustic emission signals during the destruction of the liner material and micro-plastic of the power shell of a metal-composite high-pressure cylinder. B-200 within the framework of a complex of studies to create an acoustic-emission portrait of metal-composite high-pressure cylinders. It was found that the most informative parameter when carrying out technical diagnostics of a liner is the signal amplitude recorded in the private range of 60-80 kHz, and a sign of microplastic rupture is the emission of acoustic emission signals reaching 82 dB.

Evaluation of the Magnet Breakaway Force Measurement Accuracy of the NT-800 Sensors for Early Detection of Defects of Their Manufacturing

Сontrol of mechanical stresses formed with the deposition of nickel coatings plays an important role in the diagnosis of coatings’ technical condition. Large internal stresses can lead to cracking or flaking of coatings which is completely unacceptable for critical parts and assembly units used, for example, in space technology for which reliability is of paramount importance. An important aspect of internal stresses monitoring is the measurement error of the instruments used. The purpose of this work was to determine the characteristics of the device sensors, which make the assessment of their manufacturing possible at the preliminary stage of the measuring equipment assembling in order to maintain the required accuracy of subsequent measurements.In most cases the measurement error assessment is possible only after the equipment manufacture and calibration. In this paper it is proposed to evaluate the accuracy characteristics of device sensors based on the precision (repeatability and reproducibility) of the primary informative parameter recording. In the case of the NT-800 device that was developed at the Institute of Applied Physics of the National Academy of Sciences of Belarus the effect of precision characteristics deterioration on the eventual measurement error is demonstrated. Determining the precision parameters before establishing correlation dependences between the primary informative parameter and the measured characteristic is proposed in order to reject poorly manufactured sensors and reduce labor costs.In particular, measurements of the magnitude proportional to the magnetic breakaway force were carried out using the NT-800 device with nickel specimens simulating coatings with a thickness of 200 to 700 μm and a rolling value from 0 to 40 %. It was established that in the case of well-made sensors the variation coefficient calculated from the dispersion of repeatability is in the range 0.2–0.6 %, and the variation coefficient calculated from the dispersion of reproducibility does not exceed 0.9 %. In the case of a sensor with the sensitive element parameters worsened, the variation coefficient of repeatability and reproducibility were up by one and a half times. Deterioration of the precision characteristics resulted in significant changes in the readings of the calibrated instrument. Thus the absolute measurement error for a sensor with a poorly made sensitive element turned out to be approximately 3 times higher in the range of 200– 300 MPa than that for a sensor with good precision parameters.

Импульсный магнитный контроль толщины металлических покрытий

The research results of the characteristics of magneto-inductive thickness gauges measuring transducers using harmonic excitation currents for the case of inspecting electrically conductive coatings are presented, on the basis of which a transducing algorithm is proposed and described in detail, which involves pulsed excitation of a magnetic field and the use of the induced EMF area as a primary informative parameter when suppressing the influence of network and pulse noise, used in serial thickness gauges of metallic non-ferromagnetic coatings on ferromagnetic substrates.

Machine Learning-Based Classification and Regression Approach for Sustainable Disaster Management: The Case Study of APR1400 in Korea

During nuclear accidents, decision-makers need to handle considerable data to take appropriate protective actions to protect people and the environment from radioactive material release. In such scenarios, machine learning can be an essential tool in facilitating the protection action decisions that will be made by decision-makers. By feeding machines software with big data to analyze and identify nuclear accident behavior, types, and the concentrations of released radioactive materials can be predicted, thus helping in early warning and protecting people and the environment. In this study, based on the ground deposition concentration of radioactive materials at different distances offsite in an emergency planning zone (EPZ), we proposed classification and regression models for three severe accidents. The objective of the classification model is to recognize the transient situation type for taking appropriate actions, while the objective of the regression model is to estimate the concentrations of the released radioactive materials. We used the Personal Computer Transient Analyser (PCTRAN) Advanced Power Reactor (APR) 1400 to simulate three severe accident scenarios and to generate a source term released to the environment. Additionally, the Radiological Consequence Analysis Program (RCAP) was used to assess the off-site consequences of nuclear power plant accidents and to estimate the ground deposition concentrations of radionuclides. Moreover, ground deposition concentrations at different distances were used as input data for the classification and regression tree (CART) models to obtain an accident pattern and to establish a prediction model. Results showed that the ground deposition concentration at a near distance from a nuclear power plant is a more informative parameter in predicting the concentration of radioactive material release, while the ground deposition concentration at a far distance is a very informative parameter in identifying accident types. In the regression model, the R-square of the training and test data was 0.995 and 0.994, respectively, showing a mean strong linear relationship between the predicted and actual concentration of radioactive material release. The mean absolute percentage error was found to be 26.9% and 28.1% for the training and test data, respectively. In the classification model, the model predicted a scenario (1) of 99.8% and 98.9%, scenario (2) of 98.4% and 91.6%, and scenario (3) of 98.6% and 94.7% for the training and test data, respectively.

Appraisal of perspecivity of growing of decorative perennials of genus Iris L. for introduction

The results of morpho-biological observations and biochemical indicators of decorative rhizomes of the genus Iris L. of the Iridaceous family growing in the conditions of the Kuzbass Botanical Garden are represented in the article. It was established the species-specifity in the duration of vegetation period and in the level of antioxidants accumulation of in leaves of decorative redivives: I. aphylla > I. halophile > I. chrysographes > I. ruthenica > I. pseudacorus. According to the results of the integral appraisal, all species are perspective for use in green building. The revealed restructuring in the functioning of the antioxidant system of irises allow considering them as adaptive and protective reactions aimed at their survival and decorative qualities in the environment. The studied figures can be used as an informative parameter to assess the plants condition in the introduction.

A Combined Study with 18F-FDG and 11C-Methionine Dynamic PET for the Grading of Brain Gliomas.

Purpose: Conventional MRI based on contrast enhancement and T2/FLAIR is often not sufficient in differentiating grade II from grade III and grade III from grade IV diffuse gliomas. Here we assessed advanced metabolic imaging using two well characterized PET tracers, namely 18F-FDG and 11C-Methionine.Methods: In this prospective study, 39 patients were enrolled with diffuse gliomas of grades II, III or IV underwent dynamic [18F]-FDF-PET and [11C]-Methionine. The first minutes were taken into accountResults: The use of 11C- Methionine provided significant differences between the different histologic subgroups with a higher number of parameters than did the use of 18 F-FDG. The most informative parameter is T/Np (T/N at the peak of the first maximum) with 11C- Methionine.Conclusion: The study of the first minute passage of 18F-FDG and/or 11C- Methionine through the tumor and healthy tissues in brain gliomas could not only allow improving the identification of the different glioma grades, but also to shorten the time spent by the patients under the camera. In case of using one tracer, methionine still would be the best choice. Otherwise, the use of 18F-FDG and SUVр (SUV at the peak of the first maximum) would provide results likely comparable to methionine T/N index.

Perspectives of growing decorative perennials of the genus Iris L. for introduction in the Kuzbass botanical garden

В статье представлены результаты морфо-биологических наблюдений и биохимических показателей декоративных корневищных многолетников рода Iris L. семейства Iridaceae, произрастающих в условиях Кузбасского ботанического сада. Установлена видоспецифичность по продолжительности вегетации и уровню накопления антиоксидантов в листьях декоративных травянистых многолетников: I. aphylla>I. halophila>I. chrysographes>I. ruthenica>I. pseudacorus. Выявленные перестройки в функционировании антиоксидантной системы ирисов позволяют рассматривать их, как приспособительные и защитные реакции, направленные на их выживание и декоративные качества в окружающей среде. Исследуемые показатели можно использовать в качестве информативного параметра для оценки состояния растений в интродукции. Here we present the results of morphological and biological observations and biochemical parameters of decorative rhizome perennials of the genus Iris L. of the Iridaceae family, growing in the Kuzbass Botanical Garden. We assess the duration of the growing season in relation to particular species. We also estimate the level of antioxidants in the leaves of decorative herbaceous perennials: I. aphylla> I. halophila> I. chrysographis> I. ruthenica> I. pseudacorus. The revealed rearrangements in the functioning of the antioxidant system of irises make it possible to consider them as adaptive and protective reactions aimed at their survival and preservation of decorative qualities. The studied indicators can be used as an informative parameter for assessing plants' state in the introduction.