Fatigue Reliability Test and Evaluation of Main Pump Spindle of Nuclear Power Plant Reactor

Zhang Jianxin; Gu Jipin; Chen Shuming; Pu Enshan; Guo Xiaoxian; Li Hailiang; Fang Jinghui

doi:10.13832/j.jnpe.2022.02.0219

Volume 43 Issue 2

Apr. 2022

Turn off MathJax

Article Contents

Article Navigation > Nuclear Power Engineering > 2022 > 43(2): 219-225

Zhang Jianxin, Gu Jipin, Chen Shuming, Pu Enshan, Guo Xiaoxian, Li Hailiang, Fang Jinghui. Fatigue Reliability Test and Evaluation of Main Pump Spindle of Nuclear Power Plant Reactor[J]. Nuclear Power Engineering, 2022, 43(2): 219-225. doi: 10.13832/j.jnpe.2022.02.0219

Citation:

Zhang Jianxin, Gu Jipin, Chen Shuming, Pu Enshan, Guo Xiaoxian, Li Hailiang, Fang Jinghui. Fatigue Reliability Test and Evaluation of Main Pump Spindle of Nuclear Power Plant Reactor[J]. Nuclear Power Engineering, 2022, 43(2): 219-225. doi: 10.13832/j.jnpe.2022.02.0219

Citation:

Zhang Jianxin, Gu Jipin, Chen Shuming, Pu Enshan, Guo Xiaoxian, Li Hailiang, Fang Jinghui. Fatigue Reliability Test and Evaluation of Main Pump Spindle of Nuclear Power Plant Reactor[J]. Nuclear Power Engineering, 2022, 43(2): 219-225. doi: 10.13832/j.jnpe.2022.02.0219

PDF( 11986 KB)

Fatigue Reliability Test and Evaluation of Main Pump Spindle of Nuclear Power Plant Reactor

doi: 10.13832/j.jnpe.2022.02.0219

1.
China Institute of Atomic Energy, Beijing, 102413, China
2.
Zhefu Holding Group Co., Ltd., Hangzhou, 310013, China

Received Date: 2021-03-10
Rev Recd Date: 2021-03-22
Publish Date: 2022-04-02

Abstract

Abstract

In order to obtain the fatigue reliability data of the main spindle material of the nuclear power plant reactor under a given confidence level and different reliability levels, a simulation spindle with the same inner and outer diameter dimensions and processing technology as the product spindle was manufactured for sampling. The fatigue lives of six kinds of specimens including room temperature smooth, room temperature weld, room temperature notch, high temperature smooth, high temperature weld and high temperature notch were tested. The lower confidence limit equation of the fatigue reliability life with different reliability levels and the reliability fatigue limit of the six kinds of specimens were determined by reliability statistical methods when the confidence level was 0.9 or 0.95. The differences and revised methods between the fatigue life of the specimens and the spindle were analyzed. Using the revised specimen data, the reliability assessment of the spindle fatigue failure weak links were carried out. The results show that the reliability of the spindle without fatigue failure during the lifetime exceeds 0.9999 when the confidence level is 0.9 or 0.95. In this paper, a more accurate reliability assessment of spindle fatigue failure of reactor main pump is achieved.
- Nuclear power plant,
- Main pump,
- Spindle,
- Fatigue,
- Reliability

FullText(HTML)

References(18)

References

[1]	陈侃,刘伟,郭逸,等. 1080MW核电厂主泵轴封浮动O圈失效试验研究及优化[J]. 核动力工程,2021, 42(1): 148-153.
[2]	李振,袁少波. 核电厂主泵轴振异常分析[J]. 核动力工程,2019, 40(1): 167-171.
[3]	初永越,黄志超,依岩,等. 核电厂PSA数据库平台的创建与应用[J]. 核安全,2016, 15(3): 21-26.
[4]	罗娅彬,祁军,刘志军,等. 核电厂PSA可靠性数据采集问题分析[J]. 机电产品开发与创新,2013, 26(5): 49-51. doi: 10.3969/j.issn.1002-6673.2013.05.019
[5]	李松梅,吴凌飞,刘建华,等. 应力比和腐蚀环境对超高强度钢AerMet100疲劳裂纹扩展的影响[J]. 航空材料学报,2014, 34(3): 74-80. doi: 10.11868/j.issn.1005-5053.2014.3.012
[6]	王春生,王雨竹,崔冰,等. 应力比对钢桥腹板间隙面外变形疲劳性能的影响试验[J]. 中国公路学报,2017, 30(3): 72-81. doi: 10.3969/j.issn.1001-7372.2017.03.008
[7]	谢里阳. 疲劳强度可靠性设计[M]. 第二版. 北京: 化学工业出版社, 2020: 22-26.
[8]	叶南海, 戴宏亮. 机械可靠性设计与MATLAB算法[M]. 北京: 机械工业出版社, 2018: 127-129.
[9]	中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. 金属材料疲劳试验数据统计方案与分析方法: GB/T 24176—2009[S]. 北京: 中国标准出版社, 2010: 8-10.
[10]	KEISLER J M, CHOPRA O K, SHACK W J. Statistical models for estimating fatigue strain-life behavior of pressure boundary materials in light water reactor environments[J]. Nuclear Engineering and Design, 1996, 167(2): 129-154. doi: 10.1016/S0029-5493(96)01293-9
[11]	TODINOV M T. Probability distribution of fatigue life controlled by defects[J]. Computers & Structures, 2001, 79(3): 313-318.
[12]	程祥军,黄国龙,魏涛,等. 缸盖材料P-S-N曲线测试及疲劳模型选用方法[J]. 车用发动机,2019(6): 33-37.
[13]	谢金标,姚卫星. 建立P-S-N曲线的双加权最小二乘法[J]. 实验力学,2010, 25(5): 611-616.
[14]	谭秀峰,谢里阳,马洪义,等. 基于对数正态分布的多部位疲劳结构的疲劳寿命预测方法[J]. 航空学报,2017, 38(2): 220376.
[15]	许巍,陈新,李旭东,等. 发动机材料高周疲劳P-S-N曲线优化处理方法[J]. 航空材料学报,2020, 40(5): 96-103.
[16]	嵇应凤,姚卫星,夏天翔. 线性疲劳累积损伤准则适用性评估[J]. 力学与实践,2015, 37(6): 674-682. doi: 10.6052/1000-0879-14-331
[17]	翁海平,陈棋. 兆瓦级风机主轴疲劳分析方法研究[J]. 太阳能学报,2013, 34(10): 1714-1719. doi: 10.3969/j.issn.0254-0096.2013.10.008
[18]	许卫宝, 钟涛. 机械产品可靠性设计与试验[M]. 北京: 国防工业出版社, 2015: 93-94.