A. V. Ilyakhinskii, V. Rodyushkin, D. Ryabov, A. A. Khlybov, V. Erofeev
{"title":"研究张力钢20的声发射信号","authors":"A. V. Ilyakhinskii, V. Rodyushkin, D. Ryabov, A. A. Khlybov, V. Erofeev","doi":"10.32326/1814-9146-2021-83-2-188-197","DOIUrl":null,"url":null,"abstract":"An investigation was made of acoustic emission signals during uniaxial tensile testing of flat specimens of steel 20 used for parts of welded structures with a large volume of welding, as well as pipelines, collectors and other parts operating at temperatures from –40 to 450 °C under pressure. Tensile testing with simultaneous registration of acoustic emission was carried out on a universal testing machine manufactured by Tinius OIlsen Ltd, model H100KU, at a movement speed of the active gripper of 0.05 meters per minute. Registration of AE signals was carried out using wideband GT350 sensors from GlobalTest and an analog-to-digital converter NationalInstruments 6363X with subsequent storage of the registration results in the form of a time series in the computer memory. A comparative analysis of the amplitude distribution of the AE signal for the area of the yield area and the area of destruction was carried out according to the value of information entropy, fractal dimension, and self-organization parameter. It was found that the parameter of self-organization of the amplitude distribution of the signal is the most informative in describing the processes associated with acoustic emission. As additional information, it is advisable to use data on the structure of the self-organization parameter. The results obtained indicate the possibility of using the statistical model of the Dirichlet distribution as a model of processes associated with the appearance of acoustic emission signals from sources of incipient and developing defects during routine tests of products made of structural carbon high-quality steels with a pearlite-ferrite structure.\n\nThe paper presents a version of the model and modeling algorithms for FE-modeling corrosion cracking processes in structural elements loaded by pressure and exposed to aggressive corrosion media. To assess the effectiveness of the present models and algorithms, the failure process of a thin-walled tubular specimen partly submerged into a chlorine-containing liquid and loaded by axial tension is numerically modeled.","PeriodicalId":340995,"journal":{"name":"Problems of strenght and plasticity","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"STUDY ACOUSTIC EMISSION SIGNALS AT TENSION STEEL 20\",\"authors\":\"A. V. Ilyakhinskii, V. Rodyushkin, D. Ryabov, A. A. Khlybov, V. Erofeev\",\"doi\":\"10.32326/1814-9146-2021-83-2-188-197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An investigation was made of acoustic emission signals during uniaxial tensile testing of flat specimens of steel 20 used for parts of welded structures with a large volume of welding, as well as pipelines, collectors and other parts operating at temperatures from –40 to 450 °C under pressure. Tensile testing with simultaneous registration of acoustic emission was carried out on a universal testing machine manufactured by Tinius OIlsen Ltd, model H100KU, at a movement speed of the active gripper of 0.05 meters per minute. Registration of AE signals was carried out using wideband GT350 sensors from GlobalTest and an analog-to-digital converter NationalInstruments 6363X with subsequent storage of the registration results in the form of a time series in the computer memory. A comparative analysis of the amplitude distribution of the AE signal for the area of the yield area and the area of destruction was carried out according to the value of information entropy, fractal dimension, and self-organization parameter. It was found that the parameter of self-organization of the amplitude distribution of the signal is the most informative in describing the processes associated with acoustic emission. As additional information, it is advisable to use data on the structure of the self-organization parameter. The results obtained indicate the possibility of using the statistical model of the Dirichlet distribution as a model of processes associated with the appearance of acoustic emission signals from sources of incipient and developing defects during routine tests of products made of structural carbon high-quality steels with a pearlite-ferrite structure.\\n\\nThe paper presents a version of the model and modeling algorithms for FE-modeling corrosion cracking processes in structural elements loaded by pressure and exposed to aggressive corrosion media. 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引用次数: 0
摘要
研究了在-40 ~ 450℃压力下工作的大焊接结构部件、管道、集热器等部件用20钢平面试件单轴拉伸时的声发射信号。在Tinius OIlsen Ltd生产的H100KU型万能试验机上进行声发射同步登记拉伸试验,主动夹持器运动速度为0.05 m / min。使用GlobalTest的宽带GT350传感器和NationalInstruments 6363X模数转换器进行声发射信号的配准,随后将配准结果以时间序列的形式存储在计算机存储器中。根据信息熵值、分形维数和自组织参数对屈服区和破坏区声发射信号的振幅分布进行了对比分析。研究发现,信号振幅分布的自组织参数在描述声发射相关过程中信息量最大。作为附加信息,建议使用有关自组织参数结构的数据。所获得的结果表明,在珠光体-铁素体结构的结构碳优质钢产品的常规测试中,使用Dirichlet分布的统计模型作为与来自初始和发展缺陷源的声发射信号出现相关的过程模型的可能性。本文提出了一种基于有限元模型的腐蚀开裂过程模型和建模算法,用于结构元件在压力载荷下暴露于腐蚀性介质中的腐蚀开裂过程。为了评估现有模型和算法的有效性,对部分浸入含氯液体并受轴向拉伸加载的薄壁管状试样的破坏过程进行了数值模拟。
STUDY ACOUSTIC EMISSION SIGNALS AT TENSION STEEL 20
An investigation was made of acoustic emission signals during uniaxial tensile testing of flat specimens of steel 20 used for parts of welded structures with a large volume of welding, as well as pipelines, collectors and other parts operating at temperatures from –40 to 450 °C under pressure. Tensile testing with simultaneous registration of acoustic emission was carried out on a universal testing machine manufactured by Tinius OIlsen Ltd, model H100KU, at a movement speed of the active gripper of 0.05 meters per minute. Registration of AE signals was carried out using wideband GT350 sensors from GlobalTest and an analog-to-digital converter NationalInstruments 6363X with subsequent storage of the registration results in the form of a time series in the computer memory. A comparative analysis of the amplitude distribution of the AE signal for the area of the yield area and the area of destruction was carried out according to the value of information entropy, fractal dimension, and self-organization parameter. It was found that the parameter of self-organization of the amplitude distribution of the signal is the most informative in describing the processes associated with acoustic emission. As additional information, it is advisable to use data on the structure of the self-organization parameter. The results obtained indicate the possibility of using the statistical model of the Dirichlet distribution as a model of processes associated with the appearance of acoustic emission signals from sources of incipient and developing defects during routine tests of products made of structural carbon high-quality steels with a pearlite-ferrite structure.
The paper presents a version of the model and modeling algorithms for FE-modeling corrosion cracking processes in structural elements loaded by pressure and exposed to aggressive corrosion media. To assess the effectiveness of the present models and algorithms, the failure process of a thin-walled tubular specimen partly submerged into a chlorine-containing liquid and loaded by axial tension is numerically modeled.