Research On Optimization Method of Fatigue Analysis for Nuclear Pipeline

Research On Optimization Method of Fatigue Analysis for Nuclear Pipeline

The initial design life of nuclear power plant is 40 years. In 60 year life extending license application, the fatigue of component should be evaluated under the influence of the fatigue factors of the pressurized water reactor coolant environment. Because the original design used a more conservativ...

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Main Authors: Liang Yuan, Shengyong Liu, Jie Yang, Qiang Zhou, Guihe Zhang
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_02017.pdf
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spelling doaj-89d85ac929ab4bc0bc5ce6b4440364cd2021-05-28T12:42:07ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012570201710.1051/e3sconf/202125702017e3sconf_aesee2021_02017Research On Optimization Method of Fatigue Analysis for Nuclear PipelineLiang Yuan0Shengyong Liu1Jie Yang2Qiang Zhou3Guihe Zhang4Suzhou Nuclear Power Research InstituteDaya Bay Nuclear Power Operations and Management Co., Ltd.Suzhou Nuclear Power Research InstituteChina Nuclear Power Design Co., Ltd.China Nuclear Power Design Co., Ltd.The initial design life of nuclear power plant is 40 years. In 60 year life extending license application, the fatigue of component should be evaluated under the influence of the fatigue factors of the pressurized water reactor coolant environment. Because the original design used a more conservative analysis method, the result could not meet the requirement of Cumulative usage fatigue factor of RCC-M. An optimizing analysis method is studied, and as an example of application, optimizing fatigue analysis of Safety Injection Nozzle of Main Coolant Line is performed. The evaluation results show that the optimized fatigue analysis results meet the requirements of RCC-M.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_02017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Liang Yuan
Shengyong Liu
Jie Yang
Qiang Zhou
Guihe Zhang
spellingShingle Liang Yuan
Shengyong Liu
Jie Yang
Qiang Zhou
Guihe Zhang
Research On Optimization Method of Fatigue Analysis for Nuclear Pipeline
E3S Web of Conferences
author_facet Liang Yuan
Shengyong Liu
Jie Yang
Qiang Zhou
Guihe Zhang
author_sort Liang Yuan
title Research On Optimization Method of Fatigue Analysis for Nuclear Pipeline
title_short Research On Optimization Method of Fatigue Analysis for Nuclear Pipeline
title_full Research On Optimization Method of Fatigue Analysis for Nuclear Pipeline
title_fullStr Research On Optimization Method of Fatigue Analysis for Nuclear Pipeline
title_full_unstemmed Research On Optimization Method of Fatigue Analysis for Nuclear Pipeline
title_sort research on optimization method of fatigue analysis for nuclear pipeline
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description The initial design life of nuclear power plant is 40 years. In 60 year life extending license application, the fatigue of component should be evaluated under the influence of the fatigue factors of the pressurized water reactor coolant environment. Because the original design used a more conservative analysis method, the result could not meet the requirement of Cumulative usage fatigue factor of RCC-M. An optimizing analysis method is studied, and as an example of application, optimizing fatigue analysis of Safety Injection Nozzle of Main Coolant Line is performed. The evaluation results show that the optimized fatigue analysis results meet the requirements of RCC-M.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_02017.pdf
work_keys_str_mv AT liangyuan researchonoptimizationmethodoffatigueanalysisfornuclearpipeline
AT shengyongliu researchonoptimizationmethodoffatigueanalysisfornuclearpipeline
AT jieyang researchonoptimizationmethodoffatigueanalysisfornuclearpipeline
AT qiangzhou researchonoptimizationmethodoffatigueanalysisfornuclearpipeline
AT guihezhang researchonoptimizationmethodoffatigueanalysisfornuclearpipeline
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