SS 24
Micro-reactors are compact, transportable, and designed for long-term unattended operation, which imposes stringent reliability and safety requirements. Their failures may originate from multiple levels, including system-level functional dependencies, equipment-level degradation, and component-level failure mechanisms in control rod drive systems, pump impellers, core internals, heat exchangers, narrow flow channels, fasteners, and support structures. These systems and components are subjected to coupled environmental and operational loads, such as seismic excitation, vibration induced by fluid–structure interaction, erosion and wear degradation, fretting wear, fatigue, and thermal cycling.
Reliability research for micro-reactors therefore requires cross-scale approaches that integrate system-level probabilistic safety assessment, seismic probabilistic risk assessment and fragility analysis, equipment-level degradation and life prediction, and component-level failure physics. Emerging artificial intelligence and machine-learning methods also provide new opportunities for seismic response prediction, condition monitoring, anomaly detection, surrogate modeling, and digital-twin-enabled real-time reliability assessment. Different from general nuclear power reliability topics, this special session focuses specifically on micro-reactor systems and components, emphasizing their cross-scale reliability challenges under seismic and coupled multi-physics loads. Contributions based on experimental, analytical, numerical, and data-driven approaches are welcome.
微型反应堆具有结构紧凑、可运输、长周期无人值守运行等特点，对系统、设备和关键部件的可靠性与安全性提出了严格要求。其失效可能来源于多个层级，包括系统级功能依赖关系、设备级退化过程，以及控制棒驱动系统、泵叶轮、堆芯内部构件、换热器、窄流道、紧固件和支承结构等关键部件的失效机理。这些系统和部件在服役过程中可能承受多种耦合的环境与运行载荷，例如地震激励、流固耦合诱发的振动、冲蚀与磨损退化、微动磨损、疲劳以及热循环等。
因此，微型反应堆可靠性研究需要发展跨尺度分析方法，将系统级概率安全评价、地震概率风险评价与易损性分析、设备级退化与寿命预测，以及部件级失效物理建模有机结合。同时，人工智能和机器学习方法的发展也为地震响应预测、状态监测、异常检测、代理模型构建以及基于数字孪生的实时可靠性评估提供了新的研究途径。
不同于一般核电系统可靠性或数字孪生专题，本专题聚焦微型反应堆系统及部件在地震与多物理场耦合载荷作用下的跨尺度可靠性问题，强调从系统级安全评价、设备级退化预测到部件级失效机理分析的融合研究。诚邀从事试验研究、理论分析、数值模拟和数据驱动方法研究的学者投稿交流。
Topics of interest include, but are not limited to:
Seismic probabilistic safety assessment and fragility analysis of micro-reactor structures, systems, and components
Reliability of control rod drop/insertion mechanisms under seismic and normal operating conditions
Flow-induced vibration and fretting wear of core components
Erosion and wear degradation of pump impellers and narrow flow channels
Vibration reliability and fretting fatigue under fluid–structure interaction
Reliability analysis under coupled thermal–mechanical–fluid–seismic loads
Integration of component-level failure mechanisms into probabilistic safety assessment models
Accelerated degradation and life testing of micro-reactor materials and components
Failure physics modeling and simulation of erosion, fretting, fatigue, and seismic damage
Machine-learning-based condition monitoring, anomaly detection, and remaining useful life prediction
Digital twins and surrogate models for real-time reliability assessment of micro-reactor systems
征稿主题包括但不限于
• 微型反应堆结构、系统及部件的地震概率安全评价与易损性分析
• 地震及正常运行工况下控制棒落棒/插入机构的可靠性评估
• 堆芯部件的流致振动与微动磨损
• 泵叶轮及窄流道的冲蚀与磨损退化
• 流固耦合作用下的振动可靠性与微动疲劳
• 热–力–流–地震等多物理场耦合载荷下的可靠性分析
• 部件级失效机理向概率安全评价模型的集成方法
• 微型反应堆材料与关键部件的加速退化及寿命试验方法
• 冲蚀、微动、疲劳与地震损伤的失效物理建模与仿真
• 基于机器学习的状态监测、异常检测与剩余寿命预测
• 面向微型反应堆系统实时可靠性评估的数字孪生与代理模型方法
