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IEEE Transactions on Intelligent Vehicles 2024年第9期9卷 1-12页

作者： Liu, Chunhong Zhao, Mengdi Wang, Huaichen Cheng, Bo Liu, Jialei Yuan, Peiyan Engineering Lab of Intelligence Business & Internet of Things and School of Computer and Information Engineering Henan Normal University Xinxiang China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle and School of Computer Engineering Hubei University of Arts and Science Xiangyang China

Vehicle edge computing (VEC) offers users low-latency and high-reliability services by using computational resources at the network's edge. Nevertheless, because of inadequate infrastructure and limited resources, computation-intensive and delay-sensitive vehicle applications cannot be performed efficiently at the edge. Therefore, several studies have used the idle resources of parked vehicles to assist in computation offloading. In this paper, we propose a parked vehicle-assisted vehicle edge computing architecture considering multi-agent collaboration, including intelligent vehicles and edge servers. Additionally, we propose a framework for a parallel Internet of Vehicles (IoV) utilizing computational experiment. The service provider is assigned the role of owning VEC resources and recruiting parking vehicle resources. The model was constructed by using the resource consumption-service relationship of both offloading parties to ensure service quality. First, a Stackelberg game model was constructed based on the interaction between requesting vehicles and a service provider. The latter was the leader, and the requesting vehicles were the followers. The Nash equilibrium for optimal pricing and offloading allocations was attained and verified, and a distributed gradient-based equilibrium algorithm was designed to solve the Stackelberg game model and obtain the final decision through mutual communication. The method also protects the privacy of participants and respects the willingness of requesting vehicles to offload. Finally, the simulation experiments confirmed that the proposed algorithm can achieve game equilibrium. Furthermore, it outperformed state-of-the-art algorithms in improving the service provider's utility. IEEE

关键词： Vehicles

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Metaheuristic-Based Beam Scheduling Strategies for LEO Multibeam Satellite: A Comparison

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IEEE Communications Letters 2025年第6期29卷 1166-1170页

作者： Zhang, Yingxi Jiang, Dapeng Shao, Fengwei Wu, Tong Liang, Xianling Chen, Jingfeng Shanghai Jiao Tong University Department of Electronic Engineering Shanghai200240 China China Ship Development and Design Center Wuhan430064 China Shanghai Spacecom Satellite Technology Ltd Shanghai200240 China State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis Shanghai201100 China

In this letter, the beam scheduling problem for Low Earth Orbit (LEO) multi-beam satellite systems are investigated. To fully exploit the flexibility of existing on-board phased array multi-beam antennas in the presence of non-uniform demand distribution, the beam scheduling optimization problem is formulated aiming to enhance coverage and interference mitigation performance. After the NP-hardness of the beam scheduling problem is proven, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA) methods are adopted to solve this problem. The efficiency of all proposed strategies are validated through numerical simulations, with PSO ultimately demonstrating the most favorable performance, particularly in convergence speed. © 1997-2012 IEEE.

关键词： Genetic algorithms

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Intelligent Fault Diagnosis Method of Train Axle Box Bearing Based on Improved Deep Reinforcement Learning

Intelligent Fault Diagnosis Method of Train Axle Box Bearing...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Meng, Zhangxuan Lei, Zihao Deng, Shuaiqing Gu, Shulong Zhang, Zhifen Su, Yu Wen, Guangrui National Key Lab of Aerospace Power System and Plasma Technology Xi’an Jiaotong University Xi’an 710049 China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Xi’an 710049 China Key Laboratory of Modern Design and Rotor Bearing System of the Ministry of Education Xi’an Jiaotong University Xi’an 710049 China

ISBN: (纸本)9789819639687

Axlebox bearings are the key components of rail transit train bogies, which are crucial to the operation of the train. However, the conditions of transit are relatively complex, coupled with the fact that the optimization of the deep neural network of the existing fault diagnosis methods requires a large number of manual modifications and experience of experts, which makes it difficult to effectively diagnose the faults of axlebox bearings. To address the above issues, this paper proposes an improved deep reinforcement learning strategy based on Dueling Double Deep Q-Network (D3QN) and Prioritized Experience replay (PER) for the fault diagnosis of axlebox bearings. Firstly, D3QN combines Double DQN and Dueling DQN to solve the problem of overestimation of the Q-value of Deep Q Network (DQN) and improve the stability of training. Secondly, by introducing the prioritized experience replay and the elevated reward mechanism, the efficiency of experience utilization and the speed of model convergence is improved. Finally, the proposed method is validated by using subway train transmission system fault simulation datasets of Beijing Jiaotong University (BJTU). The results show that compared with the original DQN method, PER-DR3QN has significant improvement in training efficiency, accuracy and stability. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Deep reinforcement learning

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Variable stiffness design optimization of fiber-reinforced composite laminates with regular and irregular holes considering fiber continuity for additive manufacturing

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Chinese Journal of Aeronautics 2025年第3期38卷 334-354页

作者： Yi LIU Zunyi DUAN Chunping ZHOU Yuan SI Chenxi GUAN Yi XIONG Bin XU Jun YAN Jihong ZHU School of Mechanics Civil Engineering&ArchitectureNorthwestern Polytechnical UniversityXi’an 710072China Research&Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518063China Key Lab for Airborne Hi-performance Electro-magnetic Window RISACJinan 130012China School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhen 518055China State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering MechanicsInternational Research Center for Computational MechanicsDalian University of TechnologyDalian 116024China State IJR Center of Aerospace Design and Additive Manufacturing MIIT Lab of Metal Additive Manufacturing and Innovative DesignNorthwestern Polytechnical UniversityXi’an 710072China

Fiber-reinforced composites are an ideal material for the lightweight design of aerospace structures. Especially in recent years, with the rapid development of composite additive manufacturing technology, the design optimization of variable stiffness of fiber-reinforced composite laminates has attracted widespread attention from scholars and industry. In these aerospace composite structures, numerous cutout panels and shells serve as access points for maintaining electrical, fuel, and hydraulic systems. The traditional fiber-reinforced composite laminate subtractive drilling manufacturing inevitably faces the problems of interlayer delamination, fiber fracture, and burr of the laminate. Continuous fiber additive manufacturing technology offers the potential for integrated design optimization and manufacturing with high structural performance. Considering the integration of design and manufacturability in continuous fiber additive manufacturing, the paper proposes linear and nonlinear filtering strategies based on the Normal Distribution Fiber Optimization (NDFO) material interpolation scheme to overcome the challenge of discrete fiber optimization results, which are difficult to apply directly to continuous fiber additive manufacturing. With minimizing structural compliance as the objective function, the proposed approach provides a strategy to achieve continuity of discrete fiber paths in the variable stiffness design optimization of composite laminates with regular and irregular holes. In the variable stiffness design optimization model, the number of candidate fiber laying angles in the NDFO material interpolation scheme is considered as design variable. The sensitivity information of structural compliance with respect to the number of candidate fiber laying angles is obtained using the analytical sensitivity analysis method. Based on the proposed variable stiffness design optimization method for complex perforated composite laminates, the numerical examples cons

关键词： Variable stiffness composite laminates Discrete material interpolation scheme Normal distribution fiber optimization Discrete fiber continuous filtering strategy Additive manufacturing of composite laminates

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Determining the nuclear temperature dependence on source neutron-proton asymmetry in heavy-ion reactions at intermediate energy

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Chinese Physics C 2023年第5期47卷 152-159页

作者：曲国峰黄宇郑华刘星泉 R.Wada 林炜平黄美容韩纪锋任培培杨振雷张鑫冷强钟 Key Laboratory of Radiation Physics and Technology of the Ministry of Education Sichuan UniversityChengdu 610064China Institute of Nuclear Science and Technology Sichuan UniversityChengdu 610064China School of Physics and Information Technology Shaanxi Normal UniversityXi'an 710119China Cyclotron Institute Texas A&M UniversityCollege StationTexas 77843USA College of Physics and Electronics information Inner Mongolia University for NationalitiesTongliao 028000China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of ChinaChengdu 610213China

In this article,we investigate the dependence of nuclear temperature on emitting source neutron-proton(N/Z)asymmetry with light charged particles(LCPs)and intermediate mass fragments(IMFs)generated from intermediate-velocity sources in thirteen reaction systems with different N/Z asymmetries,^(64)Zn on^(112)Sn,and^(70)Zn,^(64)Ni on^(112,124)Sn,^(58,64)Ni,^(197)Au,and^(232)Th at 40 MeV/*** apparent temperature values of LCPs and IMFs from different systems are deduced from the measured yields using two helium-related and eight carbon-related double isotope ratio thermometers,***,the sequential decay effect on the experimental apparent temperature deduction with the double isotope ratio thermometers is quantitatively corrected explicitly with the aid of the quantum statistical *** present treatment is an improvement compared to our previous studies in which an indirect method was adopted to qualitatively consider the sequential decay effect.A negligible N/Z asymmetry dependence of the real temperature after the correction is quantitatively addressed in heavy-ion reactions at the present intermediate energy,where a change of o.1 units in source N/Z asymmetry corresponds to an absolute change in temperature of an order of 0.03 to 0.29 MeV on average for LCPs and *** conclusion is in close agreement with that inferred qualitatively via the indirect method in our previous studies.

关键词： nuclear temperature N/Z asymmetry dependence Albergo thermometer sequential decay correction heavy-ion reactions at intermediate energy

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Numerical investigation of the critical heat flux in a 5 × 5 rod bundle with multi-grid

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Nuclear Engineering and technology 2022年第5期54卷 1914-1928页

作者： Liu, Wei Shang, Zemin Yang, Shihao Yang, Lixin Tian, Zihao Liu, Yu Chen, Xi Peng, Qian State Key Laboratory of Reactor System Design Technology Nuclear Power Institute of China Chengdu 610213 China School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing 100044 China

To improve the heat transfer efficiency of the reactor fuel assembly, it is necessary to accurately calculate the two-phase flow boiling characteristics and the critical heat flux (CHF) in the fuel assembly. In this paper, a Eulerian two-fluid model combined with the extended wall boiling model was used to numerically simulate the 5 × 5 fuel rod bundle with spacer grids (four sets of mixing vane grids and four sets of simple support grids without mixing vanes). We calculated and analyzed 11 experimental conditions under different pressure, inlet temperature, and mass flux. After comparing the CHF and the location of departure from the nucleate boiling obtained by the numerical simulation with the experimental results, we confirmed the reliability of computational fluid dynamic analysis for the prediction of the CHF of the rod bundle and the boiling characteristics of the two-phase flow. Subsequently, we analyzed the influence of the spacer grid and mixing vanes on the void fraction, liquid temperature, and secondary flow distribution. The research in this article provides theoretical support for the design of fuel assemblies. © 2021 Korean Nuclear Society

关键词： 5 × 5 rod bundle Critical heat flux Eulerian two-fluid model Flow boiling

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APPLICATION OF THE METHOD OF MANUFACTURED SOLUTIONS TO VERIFY A NUCLEAR reactor PHYSICS COMPUTATIONAL CODE USING THE METHOD OF CHARACTERISTICS 30

APPLICATION OF THE METHOD OF MANUFACTURED SOLUTIONS TO VERIF...

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30th International Conference on Nuclear Engineering, ICONE 2023

作者： Ge, Wenjia Wen, Peizheng Li, Zhuofan Luo, Qi Zhao, Chen Wang, Jipu Yang, Ming Institute for Advanced Study in Nuclear Energy & Safety College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Nuclear Reactor System Design Technology Key Laboratory China Nuclear Power Research and Design Institute Chendu China

ISBN: (纸本)9784888982566

The method of characteristics (MoC) has become an accepted tool for lattice physics calculations. MoC has many advantages such as accurate representations of both the lattice geometry and the boundary conditions. The flat source (FS) approximation is most commonly used, and the linear source (LS) approximation can improve the accuracy by preserving higher order spatial moments of the neutron source. However, as a non-standard spatial discretization method, the order of accuracy of the spatial discretization is more difficult to obtain, especially for analyzing linear source approximation, because the MoC method utilizes two sets of spatial meshes - the FS mesh and the set of characteristic rays that integrate the transport equation over the FS mesh. In this work, we analyze the order of accuracy with spatial resolution in MoC in planar geometry for both FS and LS approximations and verify our predictions with the Method of Manufactured Solutions (MMS). It is shown that the flat source approximation is second order accurate and that the linear source approximation has a fourth order accuracy. © 2023 by JSME.

关键词： Nuclear reactors

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Controlling antifungal activity with light:Optical regulation of fungal ergosterol biosynthetic pathway with photo-responsive CYP51 inhibitors

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Acta Pharmaceutica Sinica B 2023年第7期13卷 3080-3092页

作者： Zhuang Li Na Liu Wanzhen Yang Jie Tu Yahui Huang Wei Wang Chunquan Sheng State Key Laboratory of Bioengineering Reactor And Shanghai Key Laboratory of New Drug DesignSchool of PharmacyEast China University of Science&TechnologyShanghai 200237China School of Pharmacy Second Military Medical University(Naval Medical University)Shanghai 200433China Department of Pharmacology and Toxicology College of PharmacyAnd BIO5 InstituteUniversity of ArizonaTucsonAZ 85721USA

Invasive fungal infections(IFIs)have been associated with high mortality,highlighting the urgent need for developing novel antifungal *** the first light-responsive antifungal agents were designed by optical control of fungal ergosterol biosynthesis pathway with photocaged triazole lanosterol 14a-demethylase(CYP51)*** photocaged triazoles completely shielded the *** content of ergosterol in fungi before photoactivation and after photoactivation was 4.4%and 83.7%,***,the shielded antifungal activity(MIC80≥64μg/m L)could be efficiently recovered(MIC80=0.5—8μg/m L)by light *** new chemical tools enable optical control of fungal growth arrest,morphological conversion and biofilm *** ability for highprecision antifungal treatment was validated by in vivo *** light-activated compound A1 was comparable to fluconazole in prolonging survival in Galleria mellonella larvae with a median survival of 14 days and reducing fungal burden in the mouse skin infection ***,this study paves the way for precise regulation of antifungal therapy with improved efficacy and safety.

关键词： Antifungal agents Ergosterol biosynthesis Triazoles Photocaged Optical control

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Effect of Different Laser Energy Nitriding on the Fretting Wear Performance of Zr Alloy

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摩擦学学报（中英文） 2024年第9期44卷 1306-1321页

作者： NING Chuangming TANG Guocan YU Shijia ZHOU Junbo REN Quanyao ZENG Bing CAI Zhenbing Key Laboratory of Advanced Technologies of Materials Tribology Research InstituteSouthwest Jiaotong UniversitySichuan Chengdu 610031China School of Mechanical and Electrical Engineering Chengdu University of TechnologySichuan Chengdu 610031China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of ChinaSichuan Chengdu 610213China

The zirconium(Zr)alloy fuel cladding is one of the key structural components of a nuclear reactor and the first and most important line of defense for accommodating fission *** the operation of nuclear reactors,Zr alloy fuel cladding is subjected to extreme harsh environments,such as high temperature,high pressure and high flow rate for a long period of *** wear and corrosion resistance of Zr alloys is important for the safe operation of nuclear *** modification can effectively improve the corrosion and wear resistance of fuel *** with coating technology,nitriding technology does not have problems for bonding between the coating and the *** research on surface nitriding of Zr alloys mainly focuses on plasma nitriding and ion implantation *** on laser nitriding of Zr alloy surfaces and their fretting wear characteristics is *** this study,the surface of Zr alloy was treated with laser nitriding at different laser *** microstructure of Zr alloy treated with different laser energies and its fretting wear performance were *** results showed that after nitriding with different laser energies,the surface of the Zr alloy showed a typical molten state after melting,vaporizing and cooling under the thermal effect of the laser,and this state was more obvious with the increase of the laser *** the same time,doping of N atoms and formation of the ZrN phase led to different cooling rates in the molten zone that produced large tensile stresses after *** led to cracks on the surface of Zr alloys after laser nitriding at different energies,and the crack density increased with increasing laser *** also led to an increase in the surface roughness of the Zr alloy with increasing laser energy after laser nitriding *** to the presence of water in the industrial nitrogen,nitrides were generated on the surface of the sample along with some *** the laser

关键词： zirconium alloy fretting wear laser nitriding delamination laser energy

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Super-resolution DOA estimation for correlated off-grid signals via deep estimator

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Journal of systems Engineering and Electronics 2022年第6期33卷 1096-1107页

作者： WU Shuang YUAN Ye ZHANG Weike YUAN Naichang Facility Design and Instrumentation Institute China Aerodynamics Research and Development CenterMianyang 621000China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense TechnologyChangsha 410073China

This paper develops a deep estimator framework of deep convolution networks(DCNs)for super-resolution direction of arrival(DOA)*** addition to the scenario of correlated signals,the quantization errors of the DCN are the major *** our deep estimator framework,one DCN is used for spectrum estimation with quantization errors,and the remaining two DCNs are used to estimate quantization *** propose training our estimator using the spatial sampled covariance matrix directly as our deep estimator’s input without any feature extraction ***,we reconstruct the original spatial spectrum from the spectrum estimate and quantization errors ***,the feasibility of the proposed deep estimator is analyzed in detail in this *** the deep estimator is appropriately trained,it can recover the correlated signals’spatial spectrum fast and *** results show that our estimator performs well in both resolution and estimation error compared with the state-of-the-art algorithms.

关键词： off-grid direction of arrival(DOA)estimation deep convolution network(DCN) correlated signal quantization error super-resolution

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