故障树求解中前处理技术的算法

Pre-treatment Strategy in Fault Tree Resolving

  • 摘要: 核电厂概率安全评价(PSA)技术已引起核电业主和核安全当局的广泛重视,随着PSA应用的广泛开展和深入,对分析软件的计算速度提出了更高的要求。核电厂系统复杂庞大,其完整的PSA模型十分巨大,随着工作的进一步细致,其规模仍在增加,这给计算机的运算带来一定压力。为解决这一问题,在自主开发的PSA软件NFRisk中,采用了两种故障树求解的前处理技术:故障树结构简化方法和故障树模块化方法。实践证明:该技术的应用能明显加快故障树计算速度,缩短故障树求解时间。

     

    Abstract: Probabilistic safety analysis (PSA) technology is attractive for the power plant owner and nuclear safety authority. While the application of PSA is used more widely and deeply, the demand for accelerating the calculation of software is more strict. However, the nuclear power plant is complex and its PSA model is very huge. As the work is more accurate, the model is expanding, which makes the calculation more difficult. NFRisk, an independent development software used for PSA, adapted two pre-treatment strategies, structure simplify and modularization, to handle this problem. It is proved that the strategies can accelerate the fault tree resolving and cut down the calculating time.

     

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