Analysis Method for LOFT L2-5 LBLOCA Experiment
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摘要: 采用保守评价模型与电厂状态参数最佳估算相结合的方法对大破口冷却剂丧失事故(LBLOCA)进行认证分析。以RELAP5/MOD3为分析工具,结合非参数统计方法,对电厂状态参数进行不确定性量化分析,对LOFT L2-5冷段双端剪切断裂LBLOCA整体试验进行了冷却剂丧失事故(LOCA)分析。分析表明,引入保守分析模式与最佳参数估算混合的LOCA分析方法,相对于传统保守LOCA认证分析能额外提供88.7 K的燃料包壳峰值温度裕度。Abstract: The methodology for Large Break Loss of Coolant Accident（LBLOCA） licensing analysis with conservative Appendix K models plus statistical plant parameters analysis is presented in this paper.With the Appendix K version of RELAP5,which has been modified in compliance with the requirements of 10CFR50 Appendix K evaluation model,the quantification of the effect of plant status uncertainty on the safety parameter is carried out,based on a non-parametric statistical method.To demonstrate the new LOCA methodology,the LOFT L2-5 double-ended cold leg guillotine large break loss of coolant accident integral test is analyzed.It is revealed that this deterministic-realistic hybrid methodology can provide more PCT margin than the traditional Appendix K LOCA analysis by 88.7 K.
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Key words:
- LOCA analysis /
- Evaluation model /
- Uncertainty analysis /
- Initial operating condition /
- PCT
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