| 余热排出系统管道热疲劳分析模型及寿命预测 |
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| 引用本文： | 雷柏茂,高军,胡湘洪,周羽,吴莘馨,万力,何觅.余热排出系统管道热疲劳分析模型及寿命预测[J].原子能科学技术,2016,50(1):137-142. |
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| 作者姓名： | 雷柏茂 高军 胡湘洪 周羽 吴莘馨 万力 何觅 |
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| 作者单位： | 1.工业和信息化部电子第五研究所，广东 广州510610；2.清华大学，北京100084；3.华南理工大学，广东 广州510641；4.广东省电子信息产品可靠性技术重点实验室，广东 广州510610；5.法国电力公司 中国研发中心，北京100005 |
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| 摘 要： | 余热排出系统管道发现的热疲劳裂纹问题关系到压水堆的安全。本文基于开源有限元软件Code_Aster，采用Lagoda-Macha-Sakane模型预测了余热排出系统管道材料304L不锈钢的疲劳寿命，并根据预测结果提出了改进的Lagoda-Macha-Sakane模型。采用改进的Lagoda-Macha-Sakane模型对余热排出系统管道的热疲劳寿命进行了预测，结果表明预测热疲劳寿命与试验热疲劳寿命吻合。
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| 关 键 词： | 余热排出系统 304L不锈钢 疲劳分析模型 疲劳寿命预测 |
Thermal Fatigue Analysis Model and Life Prediction of Pipe in Residual Heat Removal System |
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| LEI Bai-mao,GAO Jun,HU Xiang-hong,ZHOU Yu,WU Xin-xin,WAN Li,HE Mi.Thermal Fatigue Analysis Model and Life Prediction of Pipe in Residual Heat Removal System[J].Atomic Energy Science and Technology,2016,50(1):137-142. |
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| Authors: | LEI Bai-mao GAO Jun HU Xiang-hong ZHOU Yu WU Xin-xin WAN Li HE Mi |
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| Affiliation: | 1.The Fifth Electronics Research Institute of Ministry of Industry and Information Technology, Guangzhou 510610, China; 2.Tsinghua University, Beijing 100084, China; 3.South China University of Technology, Guangzhou 510641, China; 4.Guangdong Provincial Key Laboratory of Electronic Information Products Reliability Technology, Guangzhou 510610, China; 5.R&D Center, China Division, Asia Pacific Branch, Electricity of France, Beijing 100005, China |
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| Abstract: | T he thermal fatigue crack problem discovered in the pipes of residual heat removal systems was related to the safety of pressurized water reactors .In this paper , the fatigue life of the 304L stainless steel ,which was the material of the pipes of residu‐al heat removal systems ,was predicted by using the Lagoda‐Macha‐Sakane’s model in the open‐source finite element software Code_Aster .Based on the result of fatigue life prediction ,a modified Lagoda‐Macha‐Sakane’ s model was proposed . The thermal fatigue life of the pipes of residual heat removal systems was predicted by using the modified Lagoda‐Macha‐Sakane’s model .The results show that the predicted thermal fatigue life is consistent with the experimental thermal fatigue life . |
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| Keywords: | residual heat removal system 304L stainless steel fatigue analysis model fatigue life prediction |
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