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Higher mode effects in hinged wall with BRBsin base-frame structures using distributed parameter models

Journal of Southeast University(English Edition) 2020年第1期36卷 56-66页

作者： Yang Xiaoyan Wu Jing Pang Xixi Wang Qiang Zhang Meng Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education Southeast University Nanjing 211189 China Xuzhou Survey and Design Center State Grid Economic and Technological Research Institute Co. Ltd. Xuzhou 221005 China Hong Kong Huayi Design Consultants (Shenzhen) Ltd. Shenzhen 518057 China Baosheng Integrated System Technology Co. Ltd. Baoying 225000 China

To investigate the effect of higher modes on the displacement and inner forces in HWBB(hinged wall with buckling-restrained braces in base)-frame structure,distributed parameter models for both the HWBB-hinged frame structure and the HWBB-MRF(moment resisting frame)structure are *** hinged wall is simplified as a flexural ***(bucking-restrained braces)are simplified to a rotational *** is simplified to a shear *** equations of distributed parameter models are *** periods,natural modes of vibration,inner forces and displacements of the distributed parameter models are derived based on the vibration equations using numerical *** effect of the relative stiffness ratio and the rotational stiffness ratio on the higher mode effects is *** elastic structures,the global displacement and shear in MRF are predominantly controlled by the first mode,while the shear and bending moment in the wall are significantly affected by higher mode *** effect of the yielding of BRB on the inner forces distribution in the HWBB-hinged frame is *** results indicate that the first mode will no longer contribute to the inner forces and the contribution from higher modes to inner forces increases after the BRBs *** is not sensitive to higher mode effects and it is controlled by the first mode after the BRBs *** analysis demonstrates that the displacement amplitudes are reduced with the increase in the flexural stiffness of the wall before the flexural stiffness reaches a certain *** first three periods decrease with the increase in the rotational *** the increase in the rotational stiffness ratio,the contribution from the first mode decreases while contributions from both the second mode and third mode increase.

关键词： hinged wall higher mode effects flexural beam rotational spring rotational stiffness ratio

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Agent-based MR Simulation as a Tool for Combat Search and Rescue Command and Control

Agent-based MR Simulation as a Tool for Combat Search and Re...

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作者： Xiang Ji Hu Liu Zizhao Wang Yuge Li Yongliang Tian Mingyu Huo School of Aeronautical Science &Engineering Beihang University State Key Laboratory of Virtual Reality Technology and System Aircraft Advanced Design Technology Key Laboratory of Ministry of Industry

Combat search and rescue（CSAR） is a significant part of joint combat operation. The isolated personnel in hostile territory is of great value to both sides. For the sake of extremely high cost and massive consumption of time in military exercises, virtual reality is a preferred way to conduct the experiment. Mixed reality, known as MR, allows users to interact with the virtual objects, as well as the real objects. With MR devices, commanders get a better awareness of both virtual combat and real environment. Agent-based modelling is a relatively new approach to modelling systems composed of interacting objects. By analyzing the decision-making process of agents, codes are written to drive the simulation. Finally, the whole system is applied to HoloLens to provide a holographic demonstration.

关键词： Combat search and rescue Mixed reality Agent-based modelling Kosovo war Finite-state machine

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Performance Analysis for Drone-Assisted HetNets with Flexible Cell Association

Performance Analysis for Drone-Assisted HetNets with Flexibl...

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IEEE International Conference on Communications (ICC)

作者： Hongguang Sun Xijun Wang Chao Xu Yan Zhang Tony Q.S. Quek School of Information Engineering Northwest A&F University Yangling Shaanxi China School of Electronics and Communication Engineering Sun Yat-sen University Guangzhou Guangdong China State Key Laboratory of Integrated Service Networks Xidian University Xi’an Shaanxi China Information System Technology and Design Pillar Singapore University of Technology and Design Singapore

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

Drone small cells (DSCs) are served as aerial base stations to complement the terrestrial cellular networks, in order to provide seamless wireless coverage and increased network capacity. In this paper, we study a drone-assisted downlink heterogeneous network (HetNet) consisting of a first tier of DSCs overlaid with a second tier of terrestrial small cells (TSCs), both of which operate on the same frequency band. By considering a flexible biased association policy, we develop an analytical framework to evaluate the network performance. After deriving the association probabilities, and the probability distribution functions (PDFs) of typical link length, we derive exact expressions for the per-tier and overall coverage probabilities. The proposed framework allows to quantify the impact on network performance of most important system parameters, such as the height of DSCs, the bias factor, and the base station density. In absence of interference management, our results show that very limited gains can be obtained in the dense network scenario and the improper deployment of DSCs can only degrade the coverage probability achieved by the single-tier TSC network. What's more, the unbiased cell association is shown to be optimal for the overall coverage probability in the interference-limited network regime.

关键词： Base stations Rayleigh channels Cellular networks Downlink Heterogeneous networks Propagation losses

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sCompile: Critical Path Identification and Analysis for Smart Contracts 21st

sCompile: Critical Path Identification and Analysis for Smar...

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21st International Conference on Formal Engineering Methods, ICFEM 2019

作者： Chang, Jialiang Gao, Bo Xiao, Hao Sun, Jun Cai, Yan Yang, Zijiang Department of Computer Science Western Michigan University KalamazooMI49009 United States Pillar of Information System Technology and Design Singapore University of Technology and Design Singapore Singapore School of Information Systems Singapore Management University Singapore Singapore State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783030324087

Ethereum smart contracts are an innovation built on top of the blockchain technology, which provides a platform for automatically executing contracts in an anonymous, distributed, and trusted way. The problem is magnified by the fact that smart contracts, unlike ordinary programs, cannot be patched easily once deployed. It is important for smart contracts to be checked against potential vulnerabilities. In this work, we propose an alternative approach to automatically identify critical program paths (with multiple function calls including inter-contract function calls) in a smart contract, rank the paths according to their criticalness, discard them if they are infeasible or otherwise present them with user friendly warnings for user inspection. We identify paths which involve monetary transaction as critical paths, and prioritize those which potentially violate important properties. For scalability, symbolic execution techniques are only applied to top ranked critical paths. Our approach has been implemented in a tool called sCompile, which has been applied to 36,099 smart contracts. The experiment results show that sCompile is efficient, i.e., 5 s on average for one smart contract. Furthermore, we show that many known vulnerabilities can be captured if user inspects as few as 10 program paths generated by sCompile. Lastly, sCompile discovered 224 unknown vulnerabilities with a false positive rate of 15.4% before user inspection. © 2019, Springer Nature Switzerland AG.

关键词： Smart contract

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Temperature Field Simulation and Ampacity Calculation of Multi-loop Cable Tunnel with Ventilation 4

Temperature Field Simulation and Ampacity Calculation of Mul...

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4th IEEE Advanced Information technology, Electronic and Automation Control Conference, IAEAC 2019

作者： Luo, Chujun Heng, Liu Jian, Li Hao, Yang Fan, Yang Si, Zhanchao Li, Jinxian Central Southern China Electric Power Design Institute Co. Ltd. China Power Engineering Consulting Group Wuhan China Chongqing University State Key Laboratory of Power Transmission Equipment System Security and New Technology Chongqing China

ISBN: (纸本)9781728119076

The number of cable loops in the tunnel is the main factor that causes the cable temperature rise and limits the cable ampacity. In order to improve the cable ampacity of multi-loop cable tunnel, the electromagnetic - thermal - flow coupling calculation model of cable tunnel was established based on ANSYS finite element simulation software. The influence of tunnel ventilation speed and ventilation distance on cable temperature distribution was studied, and the ampacity was calculated according to temperature distribution. The results show that the temperature of the cable conductor decreases by less than 1°C for each 2m/s increase of wind speed when the speed is more than 6m/s. The larger the wind speed, the smaller the temperature difference of cable conductor between the air inlet and outlet. The longer the ventilation distance, the larger the temperature difference of cable conductor between the air inlet and outlet. The ampacity of 110kV, 220kV and 500kV cables is respectively 1645A, 2031A and 2238A when the wind speed is 6m/s. The ampacity of 110kV, 220kV and 500kV cables is 1141A, 1517A and 1678A respectively when the ventilation length is 4m. © 2019 IEEE.

关键词： Ventilation

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A pinacol boronate caged NIAD-4 derivative as a near-infrared fluorescent probe for fast and selective detection of hypochlorous acid

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Chinese Chemical Letters 2018年第1期29卷 139-142页

作者： Hongjuan Tong Yajun Zhang ShengnanMa Minghao Zhang Na Wang Rui Wang Kaiyan Lou Wei Wang Shanghai Key Laboratory of New Drug Design Shanghai Key Laboratory of Chemical Biology School of Pharmacy State Key Laboratory of Bioengineering Reactor East China University of Science & Technology Shanghai 200237 China Department of Chemistry and Chemical Biology University of New Mexico Albuquerque NM 87131-0001 USA

Hypochlorous acid （HOCI） is one of highly reactive oxygen species （ROS）. It is involved in both immune defense against invading microbes and the progression of many diseases including cardiovascular disease and neurodegeneration disorders. It is generated from hydrogen peroxide （H2O2） and chloride ions in the presence of myeloperoxidase in activated neutrophils. To illustrate HOCI＇s biological functions, fluorescent probes, particularly those fluorescence emissions are in the near-infrared range, are highly needed for in vivo applications. Herein, we reported the design of a pinacol boronate caged near-infrared （NIR） fluorescent probe I derived from an Aft binding fluorophore NIAD-4 for fast and selective detection of HOC1/C10 over other ROS. Upon exposure to HOCI/CIO-, the pinacol boronate caging group of the probe 1 was quickly converted to electron-donating hydroxyl group, which increased intramolecular charge transfer OCT） in the excited state and resulted in the red-shift and intensity enhancement of fluorescence emission. The probe bears several unique features：（1） It could be used as either a ratiomatic or turn-on fluorescent probe; （2） Reaction of the caging group boronate with HOCI is very fast and finishes within seconds, which provides the selectivity over H2O2; （3） The NIAD-4 fluorophore provides additional selectivity for detection of HOCl over peroxynitrite. Moreover, the utility of the probe in imaging HOCllClO- was demonstrated in in vitro phantom imaging studies using mouse brain homogenate as biological relevant media.

关键词： Fluorescent probeHypochlorous acidBoronateReactive oxygen species （ROS）Near-infrared （NIR） imaging

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Preparation and Properties of Rice Hull Ash as the catalysis supporter in the fluidized-bed reactor

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IOP Conference Series: Earth and Environmental Science 2021年第1期766卷

作者： Zhaohui Teng Shan Huang Heng Xu Na Li Qulan Zhou College of energy Chengdu University of Tecnoogy Chengdu 610059 China National Key Laboratory of Nuclear Reactor System Design Technology Nuclear Power Institute of China Chengdu 610200 China shenzhen ILNG energy technology CO. LTD Shenzhen 518061 China State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Xi'an 710049 China

This research focuses on the preparation and properties of rice hull ash(RHA). We prepared RHA from combustion of rice husk in the fluidized-bed reactor. The temperature field of the furnace was steady and bellow 850°C to keep SiO2 amorphous. XRD, BET and SEM were applied in the characterization tests to investigate the effect of flow rate(u), the higher primary-secondary wind ratio(i) and relative height of bed material. The optimal combustion condition for preparing RHA was discussed. RHA obtained from rice hull contains abundant amorphous SiO2 (>90%) and the characterization results of RHA show its potential to be a good catalyst supporter.

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Aerodynamic load extraction in the real-time hybrid model test for floating wind turbine

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Ocean Engineering 2025年 333卷

作者： Jiang, Zhihao Gao, Yuning Tian, Xinliang Chen, Gang Wen, Binrong Peng, Zhike Zhang, Wei Yang, Mindong Gao, Yang State Key Laboratory of Ocean Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU Yazhou Bay Institute of Deepsea Technology Sanya57200 China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai200240 China School of Mechanical Engineering Ningxia University Yinchuan750021 China CPI Xinjiang Energy & Chemical Group Bozhou Co. Ltd Bozhou833400 China China Energy Engineering Group Guangdong Electric Power Design Institute Co. Ltd. Guangzhou510663 China Goldwind Sci & Tech Co. Ltd. Beijing100176 China

Physical model test is of great importance in testing new concepts in the field of ocean engineering, and floating wind turbine (FWT), a newly emerging renewable energy developing equipment, is of no exception. However, with the development trend of FWTs towards deeper waters and larger sizes, challenges and higher demands of physical model test are raised. Therefore, the real-time hybrid testing (RTHT) method is a new approach to breakthrough. And the RTHT method in wind tunnel can be applied to evaluate the aerodynamic performance, the control strategy of the wind turbine and the coupling effects between the wind turbine and floating support. This technical route highly relies on the real-time data interaction and aerodynamic load extraction. In the work of this paper, the aerodynamic load extraction method based on load and acceleration measurements is adopted. The performance of the method was evaluated under both steady wind and turbulent wind cases. Then the influence of parametric errors in mass and inertia of the model wind turbine on the RTHT system operation was studied through turbulent wind and irregular wave joint cases. The results indicate that the adopted load extraction method can properly identify the aerodynamic load in the real time. The studied RTHT system is more sensitive to gravitational parameter error than to the inertial parameter error. Under the same level of error, the reproduction of pitch motion is more sensitive among the 3 main discussed degrees of freedom. The study in this paper provides references and support for the data interaction and processing during the practice of the RTHT in wind tunnel. © 2025 Elsevier Ltd

关键词： Ocean engineering

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Experimental investigation of abnormal transverse flow enhancement of α particles in heavy-ion collisions

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Physical Review C 2021年第4期104卷 044611-044611页

作者： Y. Huang W. Lin H. Zheng R. Wada A. Bonasera Z. Chen J. Han R. Han M. Huang K. Hagel T. Keutgen X. Liu Y. G. Ma C. W. Ma Z. Majka G. Qu L. Qin P. Ren G. Tian J. Wang Z. Yang J. B. Natowitz Key Laboratory of Radiation Physics and Technology of the Ministry of Education Sichuan University Chengdu 610064 China School of Physics and Information Technology Shaanxi Normal University Xi'an 710119 China Cyclotron Institute Texas A&M University College Station Texas 77843 USA School of Physics Henan Normal University Xinxiang 453007 China Laboratori Nazionali del Sud INFNvia Santa Sofia 62 95123 Catania Italy Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China College of Physics and Electronics Information Inner Mongolia University for Nationalities Tongliao 028000 China FNRS and IPN Université Catholique de Louvain B-1348 Louvain-Neuve Belgium Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE) Institute of Modern Physics Fudan University Shanghai 200433 China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China Jagiellonian University Krakow Poland School of Science Huzhou University Huzhou 313000 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu 610213 China

The mass dependence of the transverse flow for Z=1–5 fragments from the collisions of Ar40+Al27, Ar40+Ti48, and Ar40+Ni58 at 47 MeV/nucleon is investigated experimentally in this article. The transverse flow values are determined using the in-plane components of the fragment transverse momenta, where three conventional methods, i.e., the kinetic flow tensor method, the transverse momentum analysis method, and the azimuthal correlation method, are applied to reconstruct the reaction plane in an event-by-event basis. It is demonstrated from the comparison of the present experimental mass dependent flow measurements and the model simulations using an improved antisymmetrized molecular dynamics model that the experimentally observed abnormal α transverse flow enhancement is closely related to the reaction plane reconstruction procedure in the flow extraction. We further investigate the physical existence of the abnormal α flow behavior using a two-particle azimuthal correlation method, which allows us to provide the relative flow magnitude information with an identification of fragment charge number without the knowledge of the reaction plane differing from the three conventional methods. It is found that the relative flow magnitudes deduced from the two-particle azimuthal correlation functions with an identification of Z, with the correction for the recoil effect imposed by the momentum conservation, show a monotonically increasing trend as a function of fragment charge number, with no exception of the α flow enhancement. These results, in addition to those from the improved antisymmetrized molecular dynamics model simulations, definitely provide experimental evidences for the inexistence of the abnormal α flow behavior in the heavy-ion collisions at the present incident energy region in nature.

关键词： Collective flow Low & intermediate energy heavy-ion reactions Nuclear reaction analysis

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Determining impact parameters of heavy-ion collisions at low-intermediate incident energies using deep learning with convolutional neural network

arXiv

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arXiv 2021年

作者： Zhang, X. Huang, Y. Lin, W. Liu, Xingquan Zheng, H. Wada, R. Bonasera, A. Chen, Z. Chen, L. Han, J. Han, R. Huang, M. Hu, Q. Leng, Q. Ma, C.W. Qu, G. Ren, P. Tian, G. Xu, Z. Yang, Z. Zhang, L. Key Laboratory of Radiation Physics and Technology The Ministry of Education Sichuan University Chengdu610064 China School of Physics and Information Technology Shaanxi Normal University Xi’an710119 China Cyclotron Institute Texas A&M University College StationTX77843 United States Laboratori Nazionali del Sud INFN via Santa Sofia 62 Catania95123 Italy Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China College of Physics and Electronics information Inner Mongolia University for Nationalities Tongliao028000 China School of Physics Henan Normal University Xinxiang453007 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China School of Information Sciences and Engineering Lanzhou University Lanzhou730000 China

A deep learning based method with the convolutional neural network (CNN) algorithm for determining the impact parameters is developed using the constrained molecular dynamics model simulations, focusing on the heavy-ion collisions at the low-intermediate incident energies from several ten to one hundred MeV/nucleon in which the emissions of heavy fragments with the charge numbers larger than 3 become crucial. To make the CNN applicable in the task of the impact parameter determination at the present energy range, specific improvements are made in the input selection, the CNN construction and the CNN training. It is demonstrated from the comparisons of the deep CNN method and the conventional methods with the impact parameter-sensitive observables, that the deep CNN method shows better performance for determining the impact parameters, especially leading to the capability of providing better recognition of the central collision events. With a proper consideration of the experimental filter effect in both training and testing processes to keep consistency with the actual experiments, the good performance of the deep CNN method holds, and shows significantly better in terms of predicting the impact parameters and recognizing the central collision events, compared to that of the conventional methods, demonstrating the superiority of the present deep CNN method. The deep CNN method with the consideration of the filter effect is applied in the deduction of nuclear stopping power. Higher accuracy for the stopping power deduction is achieved benefitting from the better impact parameter determination using the deep CNN method, compared to using the the conventional methods. This result reveals the importance to select a reliable impact parameter determination method in the experimental deduction of the nuclear stopping power as well as other observables. © 2021, CC BY.

关键词： Molecular dynamics

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