JIA Lixia, HAN Xu, BAI Bing, WANG Dongjie, YANG Wen. Effects of Alloy Elements on Irradiation Embrittlement of Reactor Pressure Vessel Steel: Insights from Neural Network Modelling[J]. Atomic Energy Science and Technology, 2020, 54(11): 2174-2181. DOI: 10.7538/yzk.2019.youxian.0856
Citation: JIA Lixia, HAN Xu, BAI Bing, WANG Dongjie, YANG Wen. Effects of Alloy Elements on Irradiation Embrittlement of Reactor Pressure Vessel Steel: Insights from Neural Network Modelling[J]. Atomic Energy Science and Technology, 2020, 54(11): 2174-2181. DOI: 10.7538/yzk.2019.youxian.0856

Effects of Alloy Elements on Irradiation Embrittlement of Reactor Pressure Vessel Steel: Insights from Neural Network Modelling

More Information
  • As one of the key components that can not be replaced in PWR, the safety and stability of reactor pressure vessel (RPV) steel determine the safety and economy of the reactor. The irradiation embrittlement of RPV steel is the limiting factors for the operation of PWR. The irradiation embrittlement of RPV steel is closely related to its alloy composition. Based on the machine learning method, the relationship between key alloy components (Cu/Mn/Ni/Si/P) and irradiation embrittlement of RPV steel was constructed. The results show that the relationship between the alloy composition and irradiation embrittlement is basically consistent with the traditional cognition. The irradiation embrittlement is sensitive to Cu content, and Cu-Ni has synergistic effect on irradiation embrittlement. In low Cu alloys, Mn-Ni and Ni-Si have synergistic effects on embrittlement.
  • [1]
    RACCUGLIA P, ELBERT K C, ADLER P D F, et al. Machine-learning-assisted materials discovery using failed experiments[J]. Nature, 2016, 533(7601): 73-79.
    [2]
    CASTIN N, MALERBA L, CHAOUADI R. Prediction of radiation induced hardening of reactor pressure vessel steels using artificial neural networks[J]. Journal of Nuclear Materials, 2011, 408(1): 30-39.
    [3]
    MATHEW J, PARFITT D, WILFORD K, et al. Reactor pressure vessel embrittlement: Insights from neural network modelling[J]. Journal of Nuclear Materials, 2018, 502: 311-322.
    [4]
    EASON E D, ODETTE G R, NANSTAD R K, et al. A physically-based correlation of irradiation-induced transition temperature shifts for RPV steels[J]. Journal of Nuclear Materials, 2013, 433(1-3): 240-254.
    [5]
    王英杰,赵宇强. 影响反应堆压力容器钢辐照脆性的因素及控制措施[J]. 核科学与工程,2011,31(4):327-330.WANG Yingjie, ZHAO Yuqiang. Influencing factors and control measures of reactor pressure vessel steel irradiation brittleness[J]. Chinese Journal of Nuclear Science and Engineering, 2011, 31(4): 327-330(in Chinese).
    [6]
    KRYUKOV A, ERAK D, DEBARBERIS L, et al. Extended analysis of VVER-1000 surveillance data[J]. International Journal of Pressure Vessels and Piping, 2002, 79(8-10): 661-664.
    [7]
    王荣山,徐超亮,刘向兵,等. 反应堆压力容器钢辐照脆化的影响因素分析[J]. 中国冶金,2014,24(7):1-5.WANG Rongshan, XU Chaoliang, LIU Xiangbing, et al. Influence factors of nuclear power plant reactor pressure vessel on irradiation embrittlement[J]. Chinese Metallurgy, 2014, 24(7): 1-5(in Chinese).
    [8]
    周邦新,楚大锋. 合金元素Ni对压力容器模拟钢中富Cu原子团簇析出的影响[C]∥中国核科学技术进展报告:中国核学会2009年学术年会论文集. 北京:中国核学会,2009:1839-1845.
    [9]
    CHAOUADI R, GÉRARD R, STERGAR E, et al. Neutron irradiation hardening of chemically-tailored RPV steels with respect to Cu/P and Ni/Mn elements[J]. Journal of Nuclear Materials, 2019, 519: 188-204.
    [10]
    ALMIRALL N, WELLS P B, YAMAMOTO T, et al. Precipitation and hardening in irradiated low alloy steels with a wide range of Ni and Mn compositions[J]. Acta Materialia, 2019: 119-128.
    [11]
    EFSING P, JANSSON C, MAGER T, et al. Analysis of the ductile-to-brittle transition temperature shift in a commercial power plant with high nickel containing weld material[C]∥Effects of Radiation on Materials: 23rd International Symposium. [S. l.]: ASTM International, 2008.
    [12]
    LUNDGREN M. Analysis of predictive models for correlation of irradiation effects on pressure vessel steels[M]. Sweden: Chalmers University of Technology, 2010.

Catalog

    Article views (152) PDF downloads (1106) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return