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A Power Regulation Strategy for Heat Pipe Cooled reactors Based on Deep Learning and Hybrid Data-Driven Optimization Algorithm

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SSRN 2023年

作者： Huang, Mengqi Peng, Changhong Du, Zhengyu Liu, Yu School of Nuclear Science and Technology University of Science and Technology of China Anhui Hefei230027 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Sichuan Chengdu610213 China

Heat pipe cooled reactors are suitable for deployment in remote or isolated areas as reliable small-scale power sources due to their good design characteristics. In order to cope with the real-time changing power demand in a dynamic environment, this study proposes a decision-making strategy for power regulation of heat pipe cooled reactors based on deep learning and hybrid data-driven optimization algorithm, which helps to achieve autonomous safe and efficient control of heat pipe cooled reactors under specific power demand. Firstly, an artificial neural network-based power prediction model for heat pipe cooled reactors is constructed;secondly, an evaluation criterion of power regulation schemes that integrates reactor safety and operational effectiveness is established based on utility theory, and finally, a hybrid data-driven optimization algorithm is proposed, which can quickly discover the power regulation scheme with the best utility under specific power demand. The strategy's effectiveness is verified by taking the power regulation process of the MegaPower heat pipe cooled reactor as an example. The results show that the strategy can make stable, accurate and near-optimal power regulation scheme decisions for arbitrary power demand within 20 seconds. © 2023, The Authors. All rights reserved.

关键词： Decision making

Quantitative Calculation of Bubble Pinning to Grain Boundaries in Uo2: A Phase-Field Study

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SSRN 2023年

作者： Liu, Wenbo La, Yongxiao Jiang, Yanbo Yun, Di Sun, Zhipeng Department of Nuclear Science and Technology Xi’an Jiaotong University Xi’an710049 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

A phase-field model was established to simulate the pinning effect of fission bubbles on moving grain boundaries (GBs) in UO2 nuclear fuel. It was found that the average velocity of the GB at different positions was obviously different during the movement of the GB with the participation of bubbles. The simulation results also showed that the maximum pinning force of bubbles to the GBs is related to the GB energy and the ratio of bubble diameter to bubble spacing (2r/L). The maximum pinning force decreases with the reduction of the 2r/L, which is consistent with the theoretical analysis results. In addition, the logarithm of the average grain size R has a linear relationship with the logarithm of the bubble volume fraction fv. © 2023, The Authors. All rights reserved.

关键词： Grain boundaries

Deep learning-enabled real-time personal handwriting electronic skin with dynamic thermoregulating ability

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npj Flexible Electronics 2022年第1期6卷 621-631页

作者： Shengxin Xiang Jiafeng Tang Lei Yang Yanjie Guo Zhibin Zhao Weiqiang Zhang Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an Jiaotong UniversityXi’an 710049China School of Aerospace Science and Technology Xidian UniversityXi’an 710049China

The rapid rise of the Internet of things(IoT)have brought the progress of electronic skin(e-skin).E-skin is used to imitate or even surpass the functions of human *** is one of the crucial functions of human skin,it is significant to develop a universal way to realize e-skin ***,inspired by the sweat gland structure in human skin,we report a simple method for achieving dynamic thermoregulating,attributing to the temperature of microencapsulated paraffin remains unchanged when phase change *** with the principle of triboelectric nanogenerator,a deep learning model is employed to recognize the output signals of handwriting different letters on ME-skin,and the recognition accuracy reaches 98.13%.Finally,realtime recognition and display of handwritings are successfully implemented by the ME-skin,which provides a general solution for thermoregulating e-skin and application direction for e-skin in the field of IoT.

关键词： IoT dynamic electronic

Research of the Neutronics Performance Improvement Based on the Small Lead-Based Fast reactor Slbr-50

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SSRN 2022年

作者： Zhao, Chen Lou, Lei Zhang, Bin Zhou, Bingyan Peng, Xingjie Wang, Lianjie Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China

design of high-performance lead-based fast reactor has already become a hotspot in the advanced reactor system. Research of the neutronics performance improvement is presented based on the small lead-based fast reactor SLBR-50. Parameter sensitivity analyses are conducted, including height-diameter ratio(H/D), reflector assembly arrangement, pitch-diameter ratio(P/D) in fuel assembly, fuel material and fuel enrichment partition. Numerical results of eigenvalue in burnup procedure, assembly power distribution and energy spectrum are analyzed. These results provide influences of these design parameters in quantity and the neutronics performance can be improved with parameter optimization. © 2022, The Authors. All rights reserved.

关键词： Fast reactors

Study on Diffusion and Migration Characteristics of Impurities in Secondary Side of Simplified U-Tube Steam Generator

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SSRN 2023年

作者： Li, Meng Cheng, Kun Wen, Jiming Tian, Ruifeng Fundamental Science on Nuclear Safety Simulation Technology Laboratory Harbin Engineering University Harbin150001 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

In the operation process of nuclear power system, leakage accidents of main and auxiliary condensers are easy to occur, which leads to seawater entering the secondary loop from the condenser, and impurities such as Cl- enter the steam generator with the feed water of the secondary loop, and are enriched near the heat transfer tube. It is easy to cause wear and corrosion of steam generator heat transfer tube, which threatens the safety of nuclear power plant. In order to study the migration and diffusion process of impurity Cl- in the secondary side of steam generator, a multi-bundle three-dimensional physical model of fluid-solid coupling heat transfer in the primary and secondary loop of steam generator and heat transfer tube was established respectively. The fluid flow and heat transfer process between Ushaped tube bundles were simulated numerically to reveal the distribution law of key thermo-hydraulic parameters between Ushaped tube bundles, such as volume vapor fraction, temperature, velocity, etc. The diffusion and migration of Cl- in two-phase flow were also investigated. The influence of thermalhydraulic parameters on impurity migration, two-phase flow in the secondary side and effective diffusion coefficient of chloride ions on chloride ion concentration distribution were *** concentration of chloride ions changes with the change of effective diffusion coefficient of chloride ions. The effective diffusion coefficient of chloride ions is affected by the boiling intensity of coolant and the flow velocity of coolant. The synergistic effect of the boiling intensity of coolant and the flow velocity of coolant affects the migration and diffusion of chloride *** above phenomena may lead to impurity deposition and stress corrosion of heat transfer tubes near the surface. © 2023, The Authors. All rights reserved.

关键词： Steam generators

POST-HOC INTERPRETABILITY BASED PARAMETER SELECTION for DATA ORIENTED NUCLEAR reactor ACCIDENT DIAGNOSIS system

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arXiv

arXiv 2022年

作者： Li, Chengyuan Li, Meifu Qiu, Zhifang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China

During applying data-oriented diagnosis systems to distinguishing the type of and evaluating the severity of nuclear power plant initial events, it is of vital importance to decide which parameters to be used as the system input. However, although several diagnosis systems have already achieved acceptable performance in diagnosis precision and speed, hardly have the researchers discussed the method of monitoring point choosing and its layout. For this reason, redundant measuring data are used to train the diagnostic model, leading to high uncertainty of the classification, extra training time consumption, and higher probability of overfitting while training. In this study, a method of choosing thermal hydraulics parameters of a nuclear power plant is proposed, using the theory of post-hoc interpretability theory in deep learning. At the start, a novel Time-sequential Residual Convolutional Neural Network (TRES-CNN) diagnosis model is introduced to identify the position and hydrodynamic diameter of breaks in LOCA, using 38 parameters manually chosen on HPR1000 empirically. Afterwards, post-hoc interpretability methods are applied to evaluate the attributions of diagnosis model's outputs, deciding which 15 parameters to be more decisive in diagnosing LOCA details. The results show that the TRESCNN based diagnostic model successfully predicts the position and size of breaks in LOCA via selected 15 parameters of HPR1000, with 25% of time consumption while training the model compared the process using total 38 parameters. In addition, the relative diagnostic accuracy error is within 1.5% compared with the model using parameters chosen empirically, which can be regarded as the same amount of diagnostic reliability. Copyright © 2022, The Authors. All rights reserved.

关键词： Nuclear power plants

Study of the Sensing Characteristics of Irradiated Fiber Bragg Gratings and Fabry-Perot Interferometers Under Gamma Radiation

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Photonic Sensors 2022年第1期12卷 91-98页

作者： Zhuoyue LI Zengling RAN Xianguo QING Zhengxi HE Yaqin XIAO Tingting YANG Xiu HE Jialiang ZHU Peng HE Sijie XU Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of ChinaChengdu 610213China Key Laboratory of Optical Fiber Sensing&Communications(Ministry of Education) University of Electronic Science and Technology of ChinaChengdu 611731China China Aerodynamics Research and Development Center Mianyang 621000China

The sensing characteristics of irradiated fiber Bragg gratings(FBGs)and Fabry-Perot interferometers(FPIs)were investigated under a 2MGy dose of gamma *** study found that the pressure sensitivity of FP sensors after irradiation was stable,while the temperature sensitivity of FBG sensors was unstable,and both wavelengths displayed a *** findings offer the possibility for the application of FP pressure sensors in the gamma radiation environments,and FBG sensors require further research to be suitable for application in the nuclear radiation environments.

关键词： Fiber Bragg gratings Fabry-Perot interferometers gamma radiation

Corrosion Behavior of Alumina-Forming Austenitic Steel in Supercritical Carbon Dioxide Conditions: Effects of Nb Content and Temperature

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SSRN 2023年

作者： Ma, Zhaodandan Cong, Shuo Chen, Huan Liu, Zhu Dong, Yuanyuan Tang, Rui Chen, Yong Guo, Xianglong Science and Technology on Reactor System Design Technology Laboratory Chengdu610041 China Science and Technology on Reactor Fuel and Materials Laboratory Chengdu610041 China Nuclear Power Institute of China Chengdu610041 China Shanghai Jiao Tong University Shanghai200030 China

The corrosion behavior of alumina-forming austenitic (AFA) stainless steels with different Nb additions in supercritical carbon dioxide environment at 500℃, 600℃ and 20 MPa were investigated. A novel structure with a double oxide was identified as outer Cr2O3 oxide film and inner Al2O3 oxide scale with discontinuous Fe-Cr spinel outermost in the steels with low Nb content and a transitional layer, consisting of Cr spinel and γ`-Ni3Al phase was distributed randomly below the oxide scale. The oxidation resistance was improved by decreasing diffusion of oxygen after adding 0.6wt.% Nb. However, the corrosion resistance ability degraded significantly at higher Nb level due to the accelerated diffusion rate of ions through the refined grain boundaries, which resulted in the formation of a continuous thick outer FeCr2O4 layer on the surface and an internal oxide zone. Fe2(Mo, Nb) Laves phase were discovered as well with high Nb addition, which promoted the production of cracks inside the oxide film. Fewer spinel and thinner oxide scales were found after exposure at 500℃. The specific mechanism was discussed. © 2023, The Authors. All rights reserved.

关键词： Alumina

Uncertainty Quantification of Spray Nozzle Fatigue Analysis Under Transient Load 1

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作者： Liu, Zhenyu Li, Lijuan Zhang, Liping Li, Hui Shao, Xuejiao Jiang, Lu Zhang, Ying Science and Technology On Reactor System Design Technology Laboratory Nuclear Power Institute of China No. 328 Changshun Avenue Chengdu Sichuan610200 China

ISBN: (数字)9783030683030

ISBN: (纸本)9783030683023;9783030683054

In this paper, the randomness concept of input parameters is introduced into the design of nuclear equipment, and the uncertainty analysis of input parameters is carried out for fatigue analysis. Taking the pressurizer spray nozzle as the research object, considering the random fluctuation of temperature and pressure of the transient load, the reliability and distribution of the fatigue usage are obtained by performing fatigue analysis according to the fatigue analysis method of nuclear power equipment with Monte Carlo sampling method. Taking section No.3 as an example, the thermal analysis and stress analysis models are established. Through the parameter sensitivity analysis, the relative sensitivity of the fatigue usage to each input parameter is obtained. From the results, it is clear which parameters have a significant impact on the results. The results can further optimize the structural design of the nuclear power equipment and improve its fatigue resistance, which has great application value to the life extension of nuclear power equipment. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Uncertainty analysis