COMPARISON OF DIFFERENT THERMAL AGING PREDICTION MODELS OF CAST AUSTENITIC STAINLESS STEEL

GAO HongBo; YU WeiWei; CHEN MingYa; WU DuAo; CHEN ZhiLin; XUE Fei; ZHEN HongDong; YOU Lei

doi:10.16579/j.issn.1001.9669.2019.05.026

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COMPARISON OF DIFFERENT THERMAL AGING PREDICTION MODELS OF CAST AUSTENITIC STAINLESS STEEL

更新时间：2022-09-22

- COMPARISON OF DIFFERENT THERMAL AGING PREDICTION MODELS OF CAST AUSTENITIC STAINLESS STEEL
- Journal of Mechanical Strength Vol. 41, Issue 5, Pages: 1183-1187(2019)
- 作者机构：
  
  1. 中广核苏州热工研究院
  2. 中广核工程有限公司
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2019.05.026
  CLC：
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GAO HongBo, YU WeiWei, CHEN MingYa, et al. COMPARISON OF DIFFERENT THERMAL AGING PREDICTION MODELS OF CAST AUSTENITIC STAINLESS STEEL. [J]. 41(5):1183-1187(2019)
DOI：

GAO HongBo, YU WeiWei, CHEN MingYa, et al. COMPARISON OF DIFFERENT THERMAL AGING PREDICTION MODELS OF CAST AUSTENITIC STAINLESS STEEL. [J]. 41(5):1183-1187(2019) DOI： 10.16579/j.issn.1001.9669.2019.05.026.

摘要

压水堆一回路主管道奥氏体不锈钢铸件(CASS)热老化问题在核电厂运行许可证延续论证中被广泛关注。采用三种断裂韧性预测模型对低Mo Z3CN20-09M材质以及美国核电厂高Mo材质CASS热老化后断裂韧性进行预测,并与400℃下加速老化后断裂韧性实验数据进行对比。案例分析表明:美国ANL模型不适用于对冲击韧性低于25 J/cm~2的低韧性CASS进行预测,日本H3T模型对较低韧性材料也会出现非保守预测,而法国EDF模型对高、低韧性材料均能得到较保守的预测结果,但对低韧性材料预测结果更加精确;相对于EDF模型,ANL模型和H3T模型更适合用于对Z3CN20-09M材质主管道的热老化评估。

Abstract

Firstly, the experimental J-R curve and the predicting curves by the three models of 400℃ thermally aged Z3 CN20-09 M pipe and elbow were compared. The results showed that ANL model and H3 T model aren’t suitable for the prediction of low toughness CASS components, however the EDF model is better for low toughness CASS components prediction. All the three models present non-conservative prediction for the early crack propagation, but it doesn’t affect the threshold judgment. According to the comparison between experimental J-R curves and the predicting curves, the ANL model and H3 T model are more suitable for the thermal aging assessment of CASS Z3 CN20-09 M.

关键词

奥氏体不锈钢铸件热老化断裂韧性预测模型

Keywords

Cast austenitic stainless steelThermal agingFracture toughnessPrediction models

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