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SSRN 2022年

作者： Li, Wenhan Ma, Zengyi Deng, Lilin Huang, Qianming Zhai, Zian Huang, Bochen Liu, Ting Wang, Shuang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China State Key Laboratory of Clean Energy Utilization Institute for Thermal Power Engineering Zhejiang University Hangzhou310027 China

In this study, chemical speciation distribution and thermal stability of heavy metals (As, Cd, Cr, Cu, Pb, Se, Zn, and Hg) along flue gas cleaning systems were investigated in a hazardous waste incinerator located in Zhejiang, china. The chemical speciation and thermal stability of heavy metals, environmental risk evaluation, and morphological and mineralogical characteristics of incineration residues were assessed before and after heat treatments at different temperatures. The results showed that As and Cr in the raw incineration residues mainly fractionated as the residual form with the proportion of over 48.9% and 74.5%, respectively, whereas most of Se was associated with the oxidizable and residual fraction. The chemical speciation of Cu and Pb in bag filter ashes was related to the chlorine content in the waste, and high chlorine availability favored the formation of acid soluble Cu and Pb. The residual fraction of Hg (over 68.0%) was the most dominant in bag filter ashes, which might exist in the form of HgS. During heat treatments at different temperatures, the vaporization of heavy metals increased with increasing temperature. As, Cr and Se showed high thermal stability due to the fact that As, Cr and Se were involved in the crystallization reaction, and heat treatment would promote the transformation from the mobile fractions into residual fraction. Hg and Cd displayed the worst thermal stability, and high temperature heat treatment would contribute to secondary volatilization from the incineration residues. Cu, Pb and Zn had moderate thermal stability, and heat treatment would cause the volatilization of the mobile fractions or transformation from the mobile fractions into residual fraction. With the increase of heat treatment temperature, the environmental risk of incineration residues displayed a decreasing trend and reached the medium risk level or below after heat treatment at 1200 °C without any additives or pretreatments. © 2022, The Authors. All ri

关键词： Heavy metals

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Simulation of Nuclear reactor Accident Scenarios using Physics-Informed Neural Networks and Transfer-Learning

Simulation of Nuclear Reactor Accident Scenarios using Physi...

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Electronic Information Engineering and Computer Science (EIECS), 2021 International Conference on

作者： Yang Yu Yufei Xie Wenlin Wang Guohua Wu Haitao Lan Enbo Lin Ping An Zibin Sun Haichuan Zhang Yixian Wu National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology Changsha China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China School of Automation Wuhan University of Technology Wuhan China Sino-German College of Intelligent Manufacturing Shenzhen Technology University Shenzhen China Institute of Automotive Engineers Hubei University of Automotive Technology Shiyan China Nuclear Power Institute of China Chengdu China

ISBN: (数字)9798331531409

ISBN: (纸本)9798331531416

In a Loss of Coolant Accident (LOCA), reactor core temperatures can rise rapidly, leading to potential fuel damage and radioactive material release. This research presents a groundbreaking method that combines the power of Monte Carlo Sampling and Physics-Informed Neural Networks (PINNs) to simulate and effectively address the challenging Loss of Coolant Accidents (LOCA) in nuclear reactors. In the event of a LOCA, reactor core temperatures can soar rapidly, posing a significant threat to fuel integrity and potentially leading to the release of radioactive materials. By leveraging the strengths of both Monte Carlo Sampling and PINNs, this approach aims to provide a comprehensive and accurate simulation framework for assessing and mitigating the consequences of such accidents. The method yields high prediction accuracy (MAE: 0.033, RMSE: 0.098, R2: 0.814) and demonstrates robustness through transfer learning, maintaining strong performance (MAE: 0.064, RMSE: 0.163, R 2 : 0.735).

关键词： Radioactive materials Accuracy Monte Carlo methods Transfer learning Neural networks Robustness Data models Fuels Inductors Accidents

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The bi-directional motion behavior of the vibration-driven locomotion robot excited by a dielectric elastomer actuator

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Sensors and Actuators A: Physical 2025年 392卷

作者： Meng, Lili Wang, Xiaojian Zhang, Shaochong Li, Fucai Li, Hongguang School of Mechatronic Engineering China University of Mining and Technology Xuzhou221116 China Shenyang Aircraft Design and Research Institute Shenyang110066 China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai200240 China

Most vibration-driven robots are designed based on asymmetrical structure or asymmetrical friction coefficient, which limit their applications. This investigation is aimed to study the bi-directional motion characteristic of a vibration-driven robot excited by the dielectric elastomer actuator without asymmetric friction, and can move in both directions. The electromechanical coupling dynamic model of the vibration-driven robot excited by the dielectric elastomer is established. The obtained results reveal the bi-directional driving mechanism of the vibration-driven system under the isotropic friction environment, and explain the role of the nonlinear behaviors of the planar anti-stretching dielectric elastomer actuators. First, the anti-stretching dielectric elastomer actuator is characterized, and the working principles of the robots excited by planar anti-stretching dielectric elastomer actuators are carefully examined. On this basis, the dynamic equations of the anti-stretching dielectric elastomer actuator and the locomotion robot are analyzed via the numerical solution, and the influence laws of various parameters of the robot are displayed. Finally, an experimental test system is established to verify the dynamic performance of the vibration-driven robot excited by the anti-stretching dielectric elastomer actuator. It is found that by utilizing the nonlinear characteristics of the material itself, the vibration-driven robot excited by dielectric elastomer can realize bi-directional motion under the isotropic friction environment. The proposed method can greatly simplify the design of vibration-driven robots, thereby expanding the application of soft materials in the field of vibration utilization. © 2025 Elsevier B.V.

关键词： Vibration analysis

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Effect of ECAP process on liquid distribution of AZ80M alloy during semi-solid isothermal heat treatment

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Transactions of Nonferrous Metals Society of china 2021年第6期31卷 1599-1611页

作者： Ling-ling FAN Ming-yang ZHOU Yang-yang GUO Yu-wen-xi ZHANG Gao-feng QUAN Key Laboratory of Advanced Technologies of Materials Ministry of EducationSchool of Materials Science and EngineeringSouthwest Jiaotong UniversityChengdu 610031China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of ChinaChengdu 610213China

Two kinds of semi-solid samples of AZ80−0.2Y−0.15Ca(wt.%)(AZ80M)magnesium alloy were prepared by semi-solid isothermal heat treatment of materials with and without equal channel angular pressing(ECAP)*** microstructures of initial and semi-solid treated samples were compared and *** results showed a significant difference in the liquid phase distribution between three-pass ECAP processed(3P)and as-received samples during the isothermal heating *** semi-solid 3P sample showed a more uniform liquid distribution due to its smaller dihedral ***,the coarsening processes of solid grains of as-received and 3P samples were dominated by the coalescence and Ostwald ripening mechanism,*** difference of coarsening processes was mainly related to the proportion of the high-angle grain boundaries in materials,which further affected the evolution behavior of the liquid pools.

关键词： AZ80M equal channel angular pressing semi-solid microstructure liquid phase distribution coarsening mechanism

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Research on Data Optimization technology of Multi-Source Sensing Signal in Nuclear Power Plants

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SSRN 2023年

作者： Liu, Yongchao Li, Tong Xiao, Kai Chen, Jie Tan, Xin Cheng, Jiahao Tan, Sichao Wang, Bo He, Zhengxi Shen, Jihong Gao, Puzhen Tian, Ruifeng College of Nuclear Science and Technology Harbin Engineering University Harbin150001 China Heilongjiang Provincial Key Laboratory of Nuclear Power System & Equipment Harbin Engineering University Harbin150001 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Insitute of China Chengdu610213 China College of Mathematical Sciences Harbin Engineering University Harbin150001 China

The sensor signals collected by the nuclear power plant system equipment are mixed with complex noise information. The uncertainty of sensing data directly affects the application effect of artificial intelligence on nuclear power data mining. Traditional denoising methods have poor adaptability to different noisy data, are highly dependent on researchers, and take a long time. This paper proposes a data optimization technology based on a hybrid adaptive real-time denoising model, which can realize data distribution self-adaptation and algorithm super-parameter self-optimization according to the characteristics of noisy source data. Partition denoising processing of source data. The application of examples and simulation experiments show that this technology can effectively realize the optimization of nuclear power operation data, and provide important technical support for the engineering application of artificial intelligence technology in the complex noise environment of nuclear power plants. © 2023, The Authors. All rights reserved.

关键词： Nuclear energy

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Aeronautical Communication Traffic Simulation Based on Kernel Density Estimation Method

Aeronautical Communication Traffic Simulation Based on Kerne...

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Yingxi Zhang Dapeng Jiang Fengwei Shao Tong Wu Xianling Liang Jingfeng Chen Shanghai Jiao Tong University Shanghai China China Ship Development and Design Center Wuhan China Shanghai Spacecom Satellite Technology Ltd. Shanghai China State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis

ISBN: (数字)9798350351019

ISBN: (纸本)9798350351026

Low Earth Orbit (LEO) satellite networks have been emerging as a revolutionary solution for ubiquitous communication in the upcoming sixth generation (6 G) wireless communication network. Efficient resource allocation in these satellite networks requires precise analysis of communication traffic demand. To simulate an accurate representation of the spatial-temporal communication traffic pattern worldwide, this paper utilizes Kernel Density Estimation (KDE) to simulate aircraft positions and employs a time-varying communication intensity model. The effectiveness of this approach is validated through numerical simulation results.

关键词： Wireless communication Satellites Simulation Estimation Low earth orbit satellites Traffic control Resource management Kernel Satellite communications Optimization

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Experimental Study on Flow Patterns in Narrow Rectangular Channels

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SSRN 2022年

作者： Lv, Xindi Zhang, Dalin Song, Gongle Su, Guanghui Tian, Wenxi Qiu, Suizheng State Key Laboratory of Multiphase Flow in Power Engineering Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology School 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 Chengdu610041 China

Plate fuel elements are commonly used in compact nuclear reactors due to the advantages of high fuel consumption. In this paper, the two-phase flow pattern in the coolant channel of plate fuel elements, i.e. the rectangular narrow channel was studied. Visualization flow pattern experiments of upward steam-water two-phase flow in narrow rectangular channels, 745mm long and 67mm wide with gap widths of 1.3mm and 1.9mm, were investigated. The experiments were performed in the conditions of pressure ranging from 1 to 2MPa, mass flow rate ranging from 200 to 1500kg/(m2 ⋅s), inlet subcooling ranging from 20~100°C and tilt angle ranging from 0~ 45°. Three flow patterns, consisting of bubble flow, churn flow and annular flow, were obtained in a wide range of thermal parameters. Flow patterns maps were plotted and the influences of pressure, mass flow rate, inlet subcooling, channel gap and tilt angle on the flow pattern transformation of narrow rectangular channel were studied. This study is of great significance for investigating the subsequent heat transfer process of two-phase flow in compact nuclear reactors. © 2022, The Authors. All rights reserved.

关键词： Two phase flow

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MECaaS: Mobile Edge Computing as a Services Based on Blockchain 17th

MECaaS: Mobile Edge Computing as a Services Based on Blockch...

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17th Annual Conference of china Electrotechnical Society, CES 2022

作者： Li, Bo Lu, Jiangang Zhao, Ruifeng Hu, Rong Zhou, Huafeng Pang, Xueyue Xu, Yihang Electric Power Dispatching and Control Center of Guangdong Power Grid Co. Ltd. Guangzhou China China Southern Power Grid Power Dispatching and Control Center Guangzhou China China Energy Engineering Group Guangdong Electric Power Design Institute Co. Ltd. Guangzhou China State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing China

ISBN: (纸本)9789819904501

As a new generation of computing paradigm for Internet of things (IoT), edge computing has been proved to be promising in solving the problems of insufficient centralized computing power, bandwidth congestion and transmission delay by distributing traditional cloud resources down to edges. While so, massive of computing resources have not been utilized due to the physical heterogeneity and allocation issues. Addressing on the two major challenges, in this paper, we propose a blockchain-based edge computing solution (MECaaS), which integrates smart contract, component interface, distributed allocation algorithm and other elements as a service. Comparing with the existing blockchain-edge computing solutions, we focus more on technical implementation than just the theoretical framework, by distributing this service to inspire devices’ self-potential in interaction, perception and decision, in further forms a distributed intelligent system. The service is deployed in a heterogeneous IoT scenario, and proved to be efficient for edge computing. Also, experimental results show that distributed resource allocation strategies perform better than centralized ways to some extent. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Blockchain

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Thermionic Conversion Performance Analysis of the Single-Cell Thermionic Fuel Element Based on Froba-Thermion Code

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SSRN 2022年

作者： Lu, Kailin Yao, Hao He, Yanan Wu, Yingwei Zhang, Jing Liao, Haoyu Su, Guanghui H. Qiu, Suizheng School of Nuclear Science and Technology Shaanxi Key Laboratory of Advanced Nuclear Energy and Technology State Key Laboratory of Multiphase Flow in Power Engineering Xi’an Jiaotong University Xi’an710049 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610041 China

The thermionic conversion performance of the single-cell thermionic fuel element (TFE) is influenced by fuel mass transfer and other parameters. With the consideration of current flow and heat transfer, the thermionic conversion model and the modified heat transfer model were implemented in FROBA-THERMION. Afterward, both implemented models were verified by comparing with experiments or KATET calculation results. Further, a steady-state performance simulation of the single-cell TFE was carried out. The results indicate that the thermionic conversion efficiency will be decreased due to the emitter temperature flattening caused by fuel mass transfer. In addition, the influence of several key parameters on thermionic conversion efficiency and measures to improve the thermionic conversion efficiency were analyzed. © 2022, The Authors. All rights reserved.

关键词： Mass transfer

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Identification of the non-stationarity of extreme temperature events and teleconnections with solar activity and large-scale atmospheric circulation: A case study in the Yangtze River Economic Belt

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Journal of Earth Science 2024年

作者： Lin Zhang Jingyun Ling Shengzhi Huang Hongbin Zhan Yi Wu Menggui Jin Qiang Huang State Key Laboratory of Eco-hydraulics in Northwest Arid Region， Xi'an University of Technology College of Design and Engineering， National University of Singapore Yinshanbeilu Grassland Eco-Hydrology National Observation and Research Station， China Institute of Water Resources and Hydropower Research Department of Geology and Geophysics， Texas A&M University， College Station School of Earth System Science， Tianjin University School of Environmental Studies， China University of Geosciences

In recent decades， extreme climate events have become a major problem worldwide. To understand the uncertainty in the response of extreme events to global warming， regional assessments are required for various climatic and geographic regions. The spatiotemporal distribution of extreme temperature events in the Yangtze River Economic Belt (YREB) from 1960 to 2019， including interannual changes and their teleconnections with solar activity and large-scale atmospheric circulation， were analyzed using eight indices of extreme temperature events. Over the past six decades， the climate in the YREB region has seen a warming trend， characterized by an increase in extreme warm events and a decrease in extreme cold events. The extreme temperature indices exhibit strong spatial variability. The warm extremes display a significant upward trend across the YREB， while cold extremes are primarily concentrated in the western part of the region. In recent decades， both warm and cold extremes have significant interannual variations， and these events predominantly oscillate over periods of less than four years. After 1985， the relationship between El Ni?o-Southern Oscillation (ENSO)， Arctic Oscillation (AO)， Pacific Decadal Oscillation (PDO) and extreme temperature events has changed significantly compared with pre-1985， and the direction of the phase angle can determine the positive and negative effects of the two time-series. ENSO， AO and PDO mainly have positive impacts on extreme temperature events， with ENSO and AO exerting greater impacts than PDO. In contrast， solar activity mainly has a negative impact on these events. Furthermore， the notable interdecadal changes in extreme temperature events， especially warm extremes， may be caused by the shift in the PDO phase. Therefore， the results of the study are important for the YREB region to take effective measures to mitigate the potential impacts of human activities on regional warming.

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