Fragility analysis and probabilistic safety evaluation of the nuclear containment structure under different prestressing loss conditions

遏制(计算机编程) 脆弱性 泄漏 材料科学 结构工程 流离失所(心理学) 压力(语言学) 岩土工程 环境科学 地质学 工程类 计算机科学 环境工程 语言学 哲学 物理化学 化学 程序设计语言 心理治疗师 心理学
作者
Zhongcheng Li,Jun Guo,Song Jin,Zhaohua Peng,Jinxin Gong
出处
期刊:Annals of Nuclear Energy [Elsevier]
卷期号:167: 108862-108862 被引量:14
标识
DOI:10.1016/j.anucene.2021.108862
摘要

Nuclear containment structure as the leak proof boundary for preventing radioactive materials leak into the environment during abnormal conditions. Studies on performance evaluation of nuclear containment structure under accidental conditions become a hot issue. This study presents fragility analysis and probabilistic safety evaluation of nuclear containment structure under different prestressing loss conditions. Firstly, detailed three-dimensional finite element model of nuclear containment was established. Then displacement distribution, maximum tensile stress distribution of concrete and stress distribution of steel liner is analyzed in depth. Finally, fragility and probabilistic safety evaluation of nuclear containment structure under different prestressing loss conditions were discussed. Results indicated that before concrete cracking, displacement at the equipement hatch is obviously different from that of yield of the steel liner, ordinary reinforcing steel and prestressed tendon. When internal pressure is less than 0.9 MPa, and the difference between the displacement at different elevations of \ cylinder wall is small. When internal pressure exceeds 0.9 MPa, the difference of displacement at each elevation becomes obvious. With the increase of prestressing loss level, median pressure capacity of the containment structure decreases, and the logarithmic standard deviations are basically unchanged. The variation of the safety margin and the total failure probability of the containment structure under prestressing loss level larger than 30% condition are larger than that of prestressing loss level less than 30% condition.
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