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Adaptive BP-PID control for steam generator level using hardware-in-the-loop simulation 基于硬件在环仿真的蒸汽发生器液位自适应BP-PID控制
IF 3.2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2025-12-26 DOI: 10.1016/j.pnucene.2025.106203
YuLong Wang, Zhejun Sun, Qi Zhang, Peiwei Sun, Xinyu Wei
The steam generator, an essential component of a pressurized water reactor nuclear power plant, has level parameters that directly influence the safety and stability of the nuclear power unit. The nonlinearity of the steam generator, coupled with the ‘false level’ issue, complicates its level control. Therefore, research on steam generator level control is considered to be of great significance. Traditional level control in steam generators employs a fixed-parameter Proportional-Integral-Derivative (PID) scheme, a widely used control strategy, which can struggle to adapt to changes in operating conditions and system characteristics. By integrating the adaptive learning capability of the Backpropagation (BP) neural network into the PID framework, a BP-PID control scheme is developed, where the BP network dynamically adjusts the PID parameters in real-time based on system feedback, enabling adaptive adjustment to varying operating conditions and enhancing control effectiveness. The proposed control algorithm was tested on a hardware-in-the-loop simulation platform. Results indicate that the BP-PID control significantly outperforms the original fixed-parameter PID control, demonstrating its potential for engineering implementation.
蒸汽发生器是压水堆核电站的重要组成部分,其液位参数直接影响核电机组的安全稳定运行。蒸汽发生器的非线性,加上“假液位”问题,使其液位控制复杂化。因此,对蒸汽发生器液位控制的研究具有重要的意义。传统的蒸汽发生器液位控制采用定参数比例积分导数(PID)控制策略,这是一种应用广泛的控制策略,难以适应运行条件和系统特性的变化。将BP神经网络的自适应学习能力融入到PID框架中,提出了BP-PID控制方案,BP网络根据系统反馈实时动态调整PID参数,实现了对不同工况的自适应调整,提高了控制效果。在硬件在环仿真平台上对所提出的控制算法进行了测试。结果表明,BP-PID控制明显优于原来的定参数PID控制,显示了其在工程实施中的潜力。
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引用次数: 0
Study of oxygen control model based on electrochemical oxygen pumping in liquid lead-bismuth alloys 基于电化学抽氧的铅铋液态合金氧控制模型研究
IF 3.2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2025-12-25 DOI: 10.1016/j.pnucene.2025.106206
Zhenhua Sheng, Weihao Wu, Tengjun Geng, Shengfei Wang, Fang Liu, Huiping Zhu, Haicai Lyu, Wentao Guo, Zhangpeng Guo, Ruixian Liang, Fenglei Niu
To study the mass transfer characteristics of convection-enhanced oxygen transport in electrochemical oxygen pumps, a theoretical model of oxygen transport was developed based on reaction kinetics. Two-dimensional and three-dimensional mass transfer models were subsequently established using CFD software. The experimental validation showed that the model error was within 10 %. The oxygen transport process in the electrochemical oxygen pump can be broadly divided into two stages: the ion-transport-dominated mass transfer within the solid electrolyte and the diffusion-dominated mass transfer in the lead-bismuth. The oxygen enhancement rate and the minimum oxygen concentration during the oxygen reduction process were fitted to the Arrhenius equation, further confirming the accuracy of the theoretical model. Based on this validated model, flow fields were incorporated, and impeller stirring was employed to achieve convection-enhanced mass transfer, aligning closely with experimental conditions. The effects of impeller speed and temperature on oxygen transport in the lead-bismuth tank were evaluated using the multiphysics field model. The results show that convection enhancement can effectively enhance the mass transfer of electrochemical oxygen pumping in lead-bismuth without considering the limitations of solid electrolyte. By strengthening the convection effect in the lead-bismuth and the electrochemical oxygen pump, one can achieve a limited improvement in overall mass transfer efficiency.
为了研究电化学氧泵中对流强化氧输运的传质特性,建立了基于反应动力学的氧输运理论模型。随后利用CFD软件建立了二维和三维传质模型。实验验证表明,模型误差在10%以内。电化学氧泵中的氧传递过程大致可分为固体电解质中离子输运为主的传质过程和铅铋中扩散为主的传质过程两个阶段。将氧增强速率和氧还原过程中的最小氧浓度拟合到Arrhenius方程中,进一步证实了理论模型的准确性。在验证模型的基础上,加入流场,采用叶轮搅拌实现对流强化传质,与实验条件吻合较好。采用多物理场模型研究了叶轮转速和温度对铅铋槽内氧输运的影响。结果表明,对流增强可以在不考虑固体电解质限制的情况下有效地增强铅铋中电化学氧泵送的传质。通过加强铅铋和电化学氧泵中的对流效应,可以有限地提高整体传质效率。
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引用次数: 0
Experimental study on two-phase heat transfer enhancement in narrow rectangular channels during reflooding process 窄矩形通道回流过程中两相强化换热的实验研究
IF 3.2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2025-12-25 DOI: 10.1016/j.pnucene.2025.106207
Yuanlin Yao , Qianlong Zuo , Penghui Zhang , Jian Deng , Dan Wu , Jiayue Zhou , Deqi Chen
Reflooding serves as an essential emergency cooling strategy following reactor core exposure due to a loss of coolant accident. The compact architecture of advanced nuclear core, in contrast to conventional fuel rods, elevates the risk of localized heat flux peaks and imposes more stringent demands on reflooding heat transfer efficiency. This work experimentally investigates heat transfer enhancement methods during reflooding in narrow rectangular channels. The reflooding characteristic was firstly analyzed, then the effects of inlet parameters, nanofluids, and microstructured surfaces on the minimum film boiling temperature and cooling time were quantitatively evaluated. Experimental results demonstrate that increasing the coolant inlet velocity and subcooling significantly improve the minimum film boiling temperature and reduce the cooling time. In contrast, initial wall temperature and input heat flux exhibit negligible influence on minimum film boiling temperature but are positively correlated with cooling time. Nanofluid (Fe3O4 nanoparticles <1 wt%) exhibit negligible heat transfer enhancement due to the vapor film preventing their surface deposition. The microstructured surface achieved the minimum film boiling temperature improvements of 4.8 %–21.1 % relative to the flat surface across the tested inlet velocities and 6.5 %–12.6 % under varying subcooling conditions, while simultaneously reducing the cooling time by 1.8 %–2.7 %.
由于冷却剂损失事故,堆芯暴露后,再注入是一种必要的紧急冷却策略。与传统燃料棒相比,先进堆芯结构紧凑,增加了局部热流峰值的风险,并对回流传热效率提出了更严格的要求。本文通过实验研究了窄矩形通道回流过程中强化换热的方法。首先分析了回流特性,然后定量评价了进口参数、纳米流体和微结构表面对最低膜沸腾温度和冷却时间的影响。实验结果表明,提高冷却剂进口速度和过冷度可以显著提高膜的最低沸腾温度,缩短冷却时间。初始壁温和输入热流密度对最小膜沸腾温度的影响可以忽略不计,但与冷却时间呈正相关。纳米流体(Fe3O4纳米颗粒<; wt%)表现出可忽略不计的传热增强,因为蒸汽膜阻止了它们的表面沉积。与平面相比,微结构表面的最低膜沸腾温度提高了4.8% - 21.1%,在不同的过冷条件下提高了6.5% - 12.6%,同时减少了1.8% - 2.7%的冷却时间。
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引用次数: 0
Transformation of montmorillonite under thermal-saline conditions in HLW repositories: A systematic review 热盐条件下高沸石储存库中蒙脱石的转化:系统综述
IF 3.2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2025-12-23 DOI: 10.1016/j.pnucene.2025.106201
Cong Liu , Yong-Gui Chen , Rao-Ping Liao , Zhao Sun , Yu-Cheng Li , Sheng-Fei Cao , Wei-Min Ye
The long-term stability of montmorillonite under near-field thermal and saline conditions in a high-level radioactive waste (HLW) repository is a critical concern as potential transformation of montmorillonite may occur under such circumstances. This review aims to summarize current knowledge on the transformation of montmorillonite under thermal and saline conditions relevant to HLW repositories, highlighting key mechanisms and patterns reported in the literature. Laboratory and in-situ tests indicate that montmorillonite can undergo thermo-saline transformations into illite, kaolinite, chlorite, or other minerals, and may also exhibit changes in negative layer charge. The effects of changes in negative layer charge and interlayer cations on the swelling properties of montmorillonite were analyzed. In addition to temperature and salinity, factors such as montmorillonite type, accessory minerals, pressure, reaction time, and solid/liquid ratio influence these transformations of montmorillonite.
高放废物(HLW)储存库中蒙脱土在近场高温和盐水条件下的长期稳定性是一个关键问题,因为在这种情况下可能发生蒙脱土的潜在转化。这篇综述旨在总结目前关于高沸石储存库在高温和盐水条件下蒙脱土转化的知识,重点介绍了文献报道的关键机制和模式。实验室和现场测试表明,蒙脱土可以经历热盐水转化为伊利石、高岭石、绿泥石或其他矿物,也可能表现出负层电荷的变化。分析了层间负电荷和层间阳离子变化对蒙脱土溶胀性能的影响。除温度和盐度外,蒙脱土类型、辅助矿物、压力、反应时间和固液比等因素也会影响蒙脱土的这些转化。
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引用次数: 0
A critical review of spent nuclear fuel drying 乏核燃料干燥技术综述
IF 3.2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2025-12-22 DOI: 10.1016/j.pnucene.2025.106196
Ji Hwan Lim
This review critically examines advanced methodologies for drying spent nuclear fuel (SNF), emphasizing the optimization of vacuum drying strategies and the role of forced helium drying (FHD). SNF drying is vital for safe storage and prevents issues like moisture-induced corrosion and hydrogen radiolysis. Traditional vacuum drying remains a staple, yet challenges like ice formation and ineffective moisture removal in damaged fuel necessitate innovations like FHD, which ensures thorough moisture elimination through active gas circulation. Empirical studies and enhanced simulations have refined understanding, showing automation and real-time moisture sensors could streamline drying, improve safety, and reduce time. Also, developments in hydride reorientation in zirconium cladding due to high temperatures during drying highlight the need for precise thermal management to prevent cladding embrittlement. Recent research emphasizes tailored drying criteria for diverse fuel types, focusing on damage-prone fuel requiring extended, heat-assisted drying strategies or supportive agents like hydrogen getters to mitigate gas build-up risks. Monitoring technologies are advancing to include dew point sensors and acoustic devices for real-time drying assessment. Thus, while vacuum methods are robust, an international collaborative effort is essential to standardize best practices for complex scenarios involving high-burnup and damaged SNF, ensuring fuel integrity and regulatory compliance across the nuclear industry.
本文综述了干燥乏核燃料(SNF)的先进方法,强调了真空干燥策略的优化和强制氦干燥(FHD)的作用。SNF干燥对于安全储存至关重要,可以防止湿气腐蚀和氢辐射分解等问题。传统的真空干燥仍然是主要的,但挑战,如冰的形成和无效的水分去除损坏的燃料需要创新,如FHD,确保通过主动气体循环彻底消除水分。经验研究和增强的模拟加深了人们的理解,表明自动化和实时湿度传感器可以简化干燥,提高安全性并缩短时间。此外,由于干燥过程中的高温,锆包层中氢化物重定向的发展突出了精确热管理以防止包层脆化的必要性。最近的研究强调了针对不同燃料类型量身定制的干燥标准,重点是需要扩展的热辅助干燥策略或氢吸收剂等辅助剂来减轻气体积聚风险的易损坏燃料。监测技术正在发展,包括露点传感器和用于实时干燥评估的声学设备。因此,尽管真空方法是强大的,但对于涉及高燃耗和SNF损坏的复杂场景的最佳实践标准化,确保整个核工业的燃料完整性和法规遵从性,国际合作的努力是必不可少的。
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引用次数: 0
Highly accurate and interpretable machine learning models for predicting HTC in the presence of NCG on outer vertical tubes 高度准确和可解释的机器学习模型,用于预测外垂直管上NCG存在时的HTC
IF 3.2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2025-12-20 DOI: 10.1016/j.pnucene.2025.106198
Huifang Zhang, Yapei Zhang, Shihao Wu, Wenxi Tian, Suizheng Qiu, Guanghui Su
Condensation widely exists in nature and engineering. Optimizing and modeling relevant processes heavily rely on accurate heat transfer coefficient (HTC) prediction. Nevertheless, obtaining precise HTC through empirical and numerical approaches continues to present significant challenges. This study aims to develop accurate and interpretable HTC prediction models using advanced machine learning (ML) techniques. A comprehensive database of 680 experimental data points was compiled to evaluate Support Vector Regression (SVR), ensemble learning models, and the AutoGluon platform against traditional correlations. The models predicted HTC based on total pressure Ptot, the mass fraction of non-condensable gas (NCG) wnc, the wall supercooling degree ΔT, and geometric parameters. Results demonstrate that all ML models exhibit superior performance compared to traditional correlations. Specifically, the AutoGluon platform outperforms other ML methods in predicting the HTC, according to the prediction accuracy and generalization ability comprehensively, with an MAPE of 3.16 %, RMSE of 69.46 and an R2 of 0.993. Furthermore, SHapley Additive exPlanations (SHAP) analysis identifies the NCG and total pressure as the dominant variables affecting HTC. These findings align well with experimental physical mechanisms, validating the interpretability of models.
凝结现象在自然界和工程中广泛存在。优化和建模相关过程在很大程度上依赖于准确的传热系数(HTC)预测。然而,通过经验和数值方法获得精确的HTC仍然存在重大挑战。本研究旨在利用先进的机器学习(ML)技术开发准确且可解释的HTC预测模型。构建了680个实验数据点的综合数据库,以评估支持向量回归(SVR)、集成学习模型和AutoGluon平台与传统相关性的关系。该模型基于总压Ptot、不凝气体质量分数(NCG) wnc、壁面过冷度ΔT和几何参数来预测HTC。结果表明,与传统的相关性相比,所有ML模型都表现出优越的性能。其中,AutoGluon平台在预测精度和泛化能力方面综合优于其他ML方法,MAPE为3.16%,RMSE为69.46,R2为0.993。此外,SHapley加性解释(SHAP)分析发现NCG和总压是影响HTC的主要变量。这些发现与实验物理机制一致,验证了模型的可解释性。
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引用次数: 0
Experimentation and simulation research on foreign object wear of cladding-rods interface in high-temperature pressurized water 高温加压水中包层-棒界面异物磨损试验与仿真研究
IF 3.2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2025-12-19 DOI: 10.1016/j.pnucene.2025.106188
Yanke Wen , Hongyang Chen , Chuangming Ning , Yuhan Zheng , Zhengyang Li , Zhenbing Cai
The high-speed flow of coolant in a nuclear reactor flushes the fuel rods, causing them to undergo flow-induced vibration (FIV). Additionally, tiny metal impurity particles are captured by the grid as the coolant flows, resulting in fretting wear. These foreign objects are primarily swarf generated during the machining of components in the nuclear reactor. Prolonged fretting can lead to localized wear of the fuel rod cladding, potentially resulting in fuel breakage and the release of fission products, thereby compromising the safety of the nuclear power plant. Foreign object wear is currently an important cause of fuel rod failure, yet little research has been done in this area. The small size of foreign particles renders the experimental studies of foreign object wear challenging. The finite element method (FEM) was employed to simulate the positions and quantities of variously shaped foreign object particles captured in the high-temperature pressurized water environment. In this paper, a new experimental method for foreign object wear was proposed, and the behavior of fretting wear between different foreign objects and cladding tubes is simulated by combined experimental and simulation studies. The study focused on analyzing the effects of particle shape and normal force on abrasion performance. The simulation results indicate that some foreign objects become lodged between the rigid support protrusion and the fuel rod cladding tube, remaining in place despite coolant flushing. Experimental data closely match simulation results at low loads.
在核反应堆中,冷却剂的高速流动会冲刷燃料棒,导致燃料棒发生流致振动(FIV)。此外,当冷却剂流动时,微小的金属杂质颗粒被网格捕获,导致微动磨损。这些异物主要是核反应堆部件加工过程中产生的碎屑。长时间的微动会导致燃料棒包壳的局部磨损,可能导致燃料断裂和裂变产物的释放,从而危及核电站的安全。异物磨损是目前燃料棒失效的重要原因,但这方面的研究很少。外来颗粒的小尺寸使得外来物磨损的实验研究具有挑战性。采用有限元方法模拟了高温加压水环境中捕获的各种形状的异物颗粒的位置和数量。本文提出了一种新的异物磨损实验方法,采用实验与仿真相结合的方法模拟了不同异物与包层管之间的微动磨损行为。研究重点分析了颗粒形状和法向力对磨损性能的影响。仿真结果表明,在刚性支撑突出部分和燃料棒包壳管之间存在异物,尽管有冷却液冲洗,但异物仍然存在。实验数据与低负荷下的仿真结果吻合较好。
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引用次数: 0
Multidisciplinary design optimization of a conceptual used nuclear fuel packaging plant 概念性乏燃料包装装置的多学科设计优化
IF 3.2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2025-12-19 DOI: 10.1016/j.pnucene.2025.106092
Grant Minor , Chantal Medri , Kamran Behdinan
Multidisciplinary design optimization (MDO) employing a genetic algorithm (GA) is explored as a tool to optimize a conceptual used fuel packaging plant (UFPP), which will be part of a deep geological repository (DGR) for used CANDU reactor fuel. A plant model comprised of seven sequential processing nodes is described. Each node represents a hot cell environment within which steps of the fuel encapsulation process occur. The reliability of the equipment at each processing node in the plant is mathematically modelled considering radiation damage to the limiting sensitive components. The design space includes options for redundant processing cell configurations at each node, which increase capital and operating costs, but improve reliability, reduce downtime, and reduce failure costs. Also considered are the size and capacity of the long-lived used fuel container (UFC) within which the used fuel is encapsulated. The fuel capacity and structural wall thickness of the UFC affect the radiation fields emitted towards the limiting sensitive components at each plant processing node, the lifecycle cost of the equipment assumed at each node, and the UFC material and manufacturing costs. Thus, the disciplinary interdependency between UFC structural design, cost, radiation, and processing node reliability is considered in this novel MDO application for a used nuclear fuel encapsulation facility. The design objective in this study is to minimize lifecycle capital and operating costs for the UFPP and UFC. Considering the input assumptions, an optimum design is found and discussed, and sensitivity studies are performed and evaluated.
采用遗传算法(GA)的多学科设计优化(MDO)作为优化概念乏燃料包装工厂(UFPP)的工具进行了探索,该工厂将成为CANDU反应堆乏燃料深层地质储库(DGR)的一部分。描述了一个由7个顺序处理节点组成的工厂模型。每个节点代表一个热电池环境,在其中燃料封装过程的步骤发生。考虑到辐射对极限敏感元件的损伤,对核电站各处理节点设备的可靠性进行了数学建模。设计空间包括每个节点的冗余处理单元配置选项,这增加了资本和操作成本,但提高了可靠性,减少了停机时间,并降低了故障成本。还需要考虑封装乏燃料的长寿命乏燃料容器(UFC)的尺寸和容量。UFC的燃料容量和结构壁厚影响每个工厂加工节点向限制敏感部件发射的辐射场、每个节点假定的设备的生命周期成本以及UFC的材料和制造成本。因此,UFC结构设计、成本、辐射和处理节点可靠性之间的学科相互依存关系被考虑在这个新的MDO应用于乏燃料封装设施中。本研究的设计目标是最小化UFPP和UFC的生命周期资本和运营成本。考虑输入假设,找到并讨论了最优设计,并进行了灵敏度研究和评估。
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引用次数: 0
Uniform approach to validation of codes in application for conservative and realistic accidents modeling 统一的代码验证方法在保守和现实事故建模中的应用
IF 3.2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2025-12-19 DOI: 10.1016/j.pnucene.2025.106195
E.V. Moiseenko, N.A. Mosunova, V.F. Strizhov, D.S. Synitcyn
Modern best-estimate codes can be applied for both conservative and realistic accident modeling. Furthermore, the same experiments can be used for code validation with respect to both these approaches. However, conservative and realistic numerical simulations serve distinct purposes and thus require different validation strategies. For realistic modeling, the goal of validation is to estimate the code's error relative to the “true” value. In contrast, for conservative modeling, validation should demonstrate that the code provides sufficient conservatism or quantify how far the results deviate from conservative values. We propose a method that uses the same set of multivariate simulations, combined with different statistical post-processing, to obtain both types of estimates. These estimates can then be applied to nuclear installations simulations to determine either realistic or conservative values for the parameters of interest.
现代最优估计代码既适用于保守的事故模型,也适用于现实的事故模型。此外,对于这两种方法,可以使用相同的实验进行代码验证。然而,保守的和现实的数值模拟有不同的目的,因此需要不同的验证策略。对于现实建模,验证的目标是估计代码相对于“真实”值的误差。相反,对于保守建模,验证应该证明代码提供了足够的保守性,或者量化结果偏离保守值的程度。我们提出了一种方法,使用相同的多变量模拟集,结合不同的统计后处理,以获得两种类型的估计。然后可以将这些估计应用于核设施模拟,以确定感兴趣的参数的现实值或保守值。
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引用次数: 0
Development and validation of a pin-by-pin neutronics/thermal-hydraulics transient coupling code for PWRs based on the SP3 method 基于SP3方法的压水堆中热工瞬态耦合代码的开发与验证
IF 3.2 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Pub Date : 2025-12-18 DOI: 10.1016/j.pnucene.2025.106194
Zhigang Li , Wenbo Zhao , Bangyang Xia , Xiaoming Chai , Wei Zeng , Junjie Pan , Xiafeng Zhou , Shenglong Qiang , Wei Lu
Solving the neutron transport equation by using the SPn method to achieve full-core pin-by-pin calculation represents a significant research direction in nuclear reactor numerical simulation. This work builds upon CORCA-SPn's existing capability to solve the steady-state SP3 equations using the Two-Node Method combined with Coarse Mesh Finite Difference (CMFD) and Fine Mesh Finite Difference (FMFD). This solution methodology was extended to solve the 3-dimensional(3D) SP3 space-time kinetics equations in this paper. The backward Euler scheme and theta method are respectively used for the discretization of neutron dynamics SP3 equations and fuel thermal conductivity equations in CORCA-SPn. Furthermore, leveraging the Multi-physics Object-oriented Reactor Engineering (MORE) framework developed by the Nuclear Power Institute of China (NPIC), the newly developed SP3 transient transport module is coupled with the existing single-channel thermal-hydraulics module TH1D. This integration enables transient full-core pin-by-pin neutronics/thermal-hydraulics(N-TH) coupling calculation code. The Picard method and the operator splitting(OS) method are respectively employed to govern the iterative procedures for steady-state and transient N-TH coupling calculations in CORCA-SPn. The code's capability for solving SP3 space-time kinetics problems was validated by using C5G7-TD benchmark. Its transient N-TH coupling capability was validated by using PWR MOX/UO2 benchmark. The results demonstrate that: 1) CORCA-SPn exhibits good accuracy in solving SP3 space-time kinetics equations and performing transient N-TH coupled calculations, reliably predicting key transient parameters such as core relative power, reactivity, and fuel Doppler temperature. 2) Validation against the neutron kinetics benchmark of C5G7-TD shows a maximum relative deviation in transient peak power of 6.41 % compared to MPACT. 3) Validation against the control rod ejection benchmark of PWR MOX/UO2 shows the maximum relative deviation in transient peak power is 20.1 %, the maximum deviation in peak reactivity is −0.05 $, the maximum deviation in fuel Doppler temperature is 3.39 °C, and the maximum deviation in average coolant temperature is 0.19 °C compared to PARCS and Serpent/SCF.
利用SPn方法求解中子输运方程,实现全芯逐针计算,是核反应堆数值模拟的一个重要研究方向。这项工作建立在CORCA-SPn现有的能力上,利用结合粗网格有限差分(CMFD)和细网格有限差分(FMFD)的双节点方法求解稳态SP3方程。本文将该方法推广到三维SP3时空动力学方程的求解中。分别采用反向欧拉格式和θ法对CORCA-SPn中子动力学SP3方程和燃料导热系数方程进行离散化。此外,利用中国核电研究院(NPIC)开发的多物理场面向对象反应堆工程(MORE)框架,新开发的SP3瞬态传输模块与现有的单通道热工液压模块TH1D相耦合。这种集成实现了瞬态全芯pin-by-pin中子/热力学(N-TH)耦合计算代码。采用Picard方法和算子分裂(OS)方法分别控制CORCA-SPn稳态和瞬态N-TH耦合计算的迭代过程。通过C5G7-TD基准测试,验证了该代码求解SP3时空动力学问题的能力。通过压水堆MOX/UO2基准测试验证了其瞬态N-TH耦合能力。结果表明:1)CORCA-SPn在求解SP3时空动力学方程和进行瞬态N-TH耦合计算方面具有良好的精度,可靠地预测了堆芯相对功率、反应性和燃料多普勒温度等关键瞬态参数。2) C5G7-TD中子动力学基准验证表明,与MPACT相比,瞬态峰值功率的最大相对偏差为6.41%。3)通过对PWR MOX/UO2控制棒喷射基准的验证,与PARCS和Serpent/SCF相比,瞬态峰值功率最大偏差为20.1%,峰值反应性最大偏差为- 0.05美元,燃料多普勒温度最大偏差为3.39℃,平均冷却剂温度最大偏差为0.19℃。
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引用次数: 0
期刊
Progress in Nuclear Energy
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