SS 16
Passive safety system and digital control system are widely used in new generation reactor design to enhance the nuclear power plant safety, and the new methods are needed to satisfy the request of reliability evaluation of such systems. For passive safety system, which operates based on natural circulation, the uncertainties of input paramters and Thermal-Hydraulic (T-H) models can influence the output of the model, then the physical process failure is one of the important contributors to system failure, needing to be considered in the system reliability evaluation and PSA model，the subject includes: new method for physical process failure probability evaluation, for passive safety system reliability evalustion, for intregrate physical process failure into PSA model, and so on. The methods for system reliability/ usability/creditability evaluation, equipment life estimation and operating optimization are developed for digital control system and key equipment, such as control cabinet, control circuit, protection channel, special sub-system, instrument on spot, instrument board card, software and so on, the subject includes: FMEA based on knowledge base/large model, dynamic reliability, accelerated degradation and life test, degradation/ failure physics analysis and simulation, stress-life/life prabilistic distribution model, life estimation based on data driven and machine learning, optimization for test and update period, control system software reliability evaluation, intelligent control system creditability evaluation, and so on.
为提高核电站安全性，非能动安全系统和数字化仪控系统已在新一代核电站设计中得到广泛应用，对非能动安全系统和数字化仪控系统可靠性评估也提出了新的挑战。针对依靠自然循环运行的非能动安全系统，输入参数及热工模型本身的不确定性，都将对模拟计算结果产生影响，进而影响系统可靠性评估，物理过程失效成为系统失效的重要贡献因素之一，需要在系统可靠性评估及概率安全评价模型中予以考虑。针对数字化仪控系统及其关键设备，如控制机柜、控制回路、保护通道、专用子系统、现场仪表、板卡、软件等，开展系统可靠性、可用性、可信性评估、设备寿命预测与运维优化。
Topics of interest include, but are not limited to:
- Physical process failure assessment method
- Passive system reliability assessment method
- Integrate physical process failure into probabilistic safety assessment models
- Knowledge base/large model based FMEA
- Dynamic reliability modeling
- Accelerated degradation/life test
- Degradation/failure physics analysis and simulation
- Stress-life/life probability distribution modeling
- Data-driven/machine learning based life prediction
- Periodic inspection and replacement cycle optimization
- Control system software reliability evaluation
- Intelligent control system credibility evaluation
征稿主题包括但不限于：
- 物理过程失效评估方法
- 非能动系统可靠性评估方法
- 将物理过程失效融入概率安全评价模型
- 基于知识库\大模型的FMEA
- 动态可靠性建模
- 加速退化\寿命试验
- 退化\失效物理分析与仿真
- 应力-寿命\寿命概率分布建模
- 基于数据驱动\机器学习的寿命预测
- 定检\更换周期优化
- 控制系统软件可靠性评估
- 智能控制系统可信性评估等
