基于应变速率控制的冷却剂环境疲劳数值分析方法比较

Xuejiao Shao, Hai Xie, Yixion Zhang, Furui Xiong, Xin-Jian Wang, K. Shi, Mingdao Yu, Xuan Huang
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摘要

本文研究了考虑压水堆主冷剂环境对材料疲劳影响的环境疲劳修正系数(Fen)的变形应变率。RCC-M 2017年版第六卷的EPRI指南和AFCEN的试用相规则(RPP) No.3分别提供了两种不同的变形应变率计算方法。NUREG CR-6909给出了低合金钢、镍基合金和奥氏体不锈钢这三种初级回路系统主要材料的Fen预测模型。本文选取EPRI指南中样本2的模型和暂态进行计算对比,验证分析方法是否合理。首先进行空气环境下的疲劳分析,然后在此基础上进行应变率的详细计算,计算环境疲劳结果。将分析结果与指南的结果进行了比较,结果接近。然后选取压水堆主管线安全喷管疲劳裕度较小的部件进行环境疲劳分析。在分析中,采用了不同的修正应变率计算方法,并在CR-6909中采用了不同的预测模型。考虑了RPP3中Fen的积分系数,比较了各种计算方法对结果的影响。结果表明:对于奥氏体不锈钢,RCC-M RPP3方法的结果大多小于EPRI指南的结果;与NUREG CR-6909 0版本的预测模型相比,1版本的预测模型大大降低了Fen的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Numerical Analysis Methods of Coolant Environmental Fatigue Based on Strain Rate Control
In this paper, the transformed strain rate of environmental fatigue correction factor (Fen), which is used to consider the influence of PWR primary coolant environment on material fatigue, is studied. EPRI’s guideline and the AFCEN’s probationary phase rule (RPP) No.3 of Volume VI in RCC-M 2017 edition provide two different calculation methods of transformed strain rate separately. NUREG CR-6909 gives two versions of prediction models of Fen for Low alloy steel, nickel base alloy and austenitic stainless steel which are the three main materials of the primary circuit system. In this paper, the model and transients of Sample 2 in EPRI’s guideline are selected for calculation and comparison, so as to verify whether the analysis method is reasonable. Firstly, the fatigue analysis in air is carried out, and then based on the combination, the detailed calculation of strain rate is carried out to calculate environmental fatigue results. The analysis results are compared with the results of guideline, and the valuesare close. Then, the main pipeline safety injection nozzle components with small fatigue margin in PWR are selected to carry out environmental fatigue analysis. In the analysis, different methods of calculating modified strain rates are used, and different prediction models in CR-6909 are used. The coefficient of Fen integrated in RPP3 isconsidered, and the effects of various calculation methods on the results are compared. The results show that for austenitic stainless steel, the results of RCC-M RPP3 method are mostly less than those of EPRI guidelines. Compared with the prediction model of NUREG CR-6909 version 0, the prediction model version 1 greatly decreases the Fen results.
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