ASSESSMENT OF DELAYED HYDRIDE CRACKING IN CANDU PRESSURE TUBE USING THE PROCESS ZONE WITH CREEP EQUATION FROM ARTIFICIAL NEURAL NETWORK MODELLING

被引:1
|
作者
Stoica, Livia [1 ]
Radu, Vasile [1 ]
Toma, Denisa [1 ]
Jinga, Alexandra [1 ]
机构
[1] RATEN Inst Nucl Res, Dept Nucl Mat & Corros, Pitesti, Romania
来源
JOURNAL OF SCIENCE AND ARTS | 2024年 / 03期
关键词
CANDU pressure tube; DHC phenomenon; process zone; creep; stress relaxation; neural network; INDUCED STRAINS; EMBRITTLEMENT; STRESSES;
D O I
10.46939/J.Sci.Arts-24.3-c02
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The pressure tubes of the CANDU 600 nuclear power plant at CNE Cernavoda Romania are made of Zr-2.5%Nb alloy, which is susceptible to hydrogen accumulation during normal operation. As part of the work, structural integrity analyses will be performed regarding the initiation of the Delayed Hydride Cracking (DHC) phenomenon at the complex flaws in the pressure tubes, which can be detected by the periodic inspections performed on the fuel channels. These flaws are described by the Canadian standard CAN/CSA N285.8 as a combination of a Bearing Pad Fretting Flaw (BPFF) with a Debris Fretting Flaw (DFF). The analysis of the mechanical stresses and strains field is obtained by finite element analysis (FEA) in the process zone of the flaws, that are located on the inner surface of the CANDU pressure tube. The work develops a method based on FEA, regarding the evaluation of the phenomenon of mechanical stress relaxation by creep in the process zone of flaws for the time interval between two periodic inspections of the CANDU fuel channels. This method allows obtaining the relaxation of mechanical stresses, by inserting the explicit function of the radial strain rate of the CANDU pressure tube (Zr-2.5%Nb alloy) into the algorithm for obtaining iterative numerical solutions in creep. The explicit function was obtained by the Multilayer Feedforward Neural Network (MFNN) method under the conditions of irradiation in-service specific to the CANDU fuel channels. The results of the work are used in the assessment of structural integrity by analysing the prevention of DHC initiation in the pressure tubes of a CANDU plant.
引用
收藏
页码:747 / 758
页数:12
相关论文
共 50 条
  • [1] COMMENTS ON THE PROCESS ZONE METHODOLOGY WHEN APPLIED TO DELAYED HYDRIDE CRACKING IN CANDU Zr-Nb PRESSURE TUBE MATERIAL
    Smith, E.
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE - 2008, VOL 6, PT A AND B, 2009, : 9 - 14
  • [2] Application of "Leak Before Break" Assessment for Pressure Tube in Delayed Hydride Cracking
    Dundulis, Gintautas
    Grybenas, Albertas
    Makarevicius, Vidas
    Janulionis, Remigijus
    JOURNAL OF DISASTER RESEARCH, 2010, 5 (04) : 378 - 384
  • [3] STATISTICAL ASSESSMENT OF EFFECT OF HYDRIDE NON-RATCHETING CONDITIONS ON DELAYED HYDRIDE CRACKING INITIATION IN CANDU PRESSURE TUBES
    Gutkin, Leonid
    Scarth, Douglas A.
    Bickel, Grant A.
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE 2010, VOL 6, PTS A AND B, 2010, : 559 - 570
  • [4] DELAYED HYDRIDE CRACKING INITIATION EVALUATION OF INTERACTING FLAWS IN A CANDU REACTOR ZR-NB PRESSURE TUBE
    Scarth, Douglas
    Doddihal, Preeti
    Ip, Monique
    PROCEEDINGS OF ASME 2021 PRESSURE VESSELS AND PIPING CONFERENCE (PVP2021), VOL 4, 2021,
  • [5] A probabilistic integrity assessment of flaw in zirconium alloy pressure tube considering delayed hydride cracking
    Kwak, SL
    Lee, JS
    Kim, YJ
    Park, YW
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2003, 17 (8-9): : 1587 - 1593
  • [6] A COMPARISON OF FINITE ELEMENT COHESIVE-ZONE MODELLING WITH THE PROCESS-ZONE APPROACH FOR THE PREDICTION OF DELAYED HYDRIDE CRACKING
    Martin, Michael
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE - 2013, VOL 6A: MATERIALS AND FABRICATION, 2014,
  • [7] Artificial neural network modelling for the removal of lead from wastewater by using adsorption process
    Mahdi, Ayat Hussein
    Jaid, Ghaidaa Majeed
    Alardhi, Saja Mohsen
    DESALINATION AND WATER TREATMENT, 2021, 244 : 110 - 119
  • [8] Modelling and simulation of desalination process using artificial neural network: a review
    Mahadeva, Rajesh
    Manik, Gaurav
    Verma, Om Prakash
    Sinha, Shishir
    DESALINATION AND WATER TREATMENT, 2018, 122 : 351 - 364
  • [9] Modelling and process optimization for biodiesel production from Nannochloropsis salina using artificial neural network
    Raj, J. Vinoth Arul
    Kumar, R. Praveen
    Vijayakumar, B.
    Gnansounou, Edgard
    Bharathiraja, B.
    BIORESOURCE TECHNOLOGY, 2021, 329
  • [10] Assessment of asphalt pavement remaining life using artificial neural network modelling
    Loizos, A.
    Georgiou, P.
    Plati, C.
    ADVANCED CHARACTERISATION OF PAVEMENT SOIL ENGINEERING MATERIALS, VOLS 1 AND 2, 2007, : 993 - 1002