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Journal of Structural and Construction engineering 2025年第828期90卷 230-239页

作者： Satoshi, Kake Yuji, Ishikawa Takenaka Research & Development Institute Japan College of System Engineering and Science Shibaura Institute of Technology Japan

The authors propose a new defined tensile stress distribution for steel fiber reinforced concrete (SFRC) to evaluate the flexural strength of SFRC beams. It is a simplified formula based on the SFRC tensile stress – tensile strain relationship curves. This study confirmed that the flexural strength of SFRC beams is influenced by the orientation factor of steel fibers which is in turn affected by the fiber amount. The authors also propose a formula for this orientation factor expressed by the fiber volume ratio. Using these proposed formulae, the flexural strength (allowable, yielding, ultimate levels) of SFRC beams could be accurately evaluated. © 2025 Architectural institute of Japan. All rights reserved.

关键词： Tensile stress

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Influence Factors on the Radiation Temperature Measurement Accuracy of Turbine Blades

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Journal of Thermal science 2025年第2期34卷 510-523页

作者： LI Xunfeng YAN Hao ZHAO Shu'nan CHENG Keyong CHEN Junlin HUAI Xiulan Institute of Engineering Thermophysics Chinese Academy of SciencesBeijing100190China School of Engineering Science University of the Chinese Academy of SciencesBeijing100049China Nanjing Institute of Future Energy System Nanjing211135China

Backward Monte Carlo method of the complicated and exact three-dimensional turbine with the spectral emission and reflection characteristics of the turbine blades materials and the spectral absorption and emission characteristics of combustion gas is *** factors affecting the accuracy of the radiation temperature measurement are *** results show that reducing the distance from the probe to the target surface can reduce the effect of the environment on the measurement *** the temperature and emissivity of the target surface can improve the measurement *** reflection characteristics of the surfaces have little influence on the radiation temperature measurement,so the blades can be considered as diffuse reflectors in order to improve the calculation *** temperature measurement accuracy decreases rapidly as the temperature of the combustion gas *** temperature measurement accuracy decreases with the increase of total gas pressure and H_(2)O *** measuring the temperature of rotating blades,the apparent emissivity of the target surface is inversely proportional to the measurement accuracy.

关键词： Monte Carlo method turbine blade radiation temperature measurement accuracy

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An improved NSGA-II algorithm for multi-sensor scheduling optimization 4

An improved NSGA-II algorithm for multi-sensor scheduling op...

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4th International Conference on Electronic Information and Communication engineering, EICE 2025

作者： Yin, Ting Wang, Sheng Zhang, Shusen Institute of System Engineering Academy of Military Science of PLA Beijing China

In this work, we investigate the issue of inadequate solution quality and insufficient convergence in multi-sensor scheduling algorithms for tracking aerial moving targets, and enhance the traditional Non-dominated Sorting Genetic Algorithm II (NSGA-II) through adaptive parameters for crossover and mutation. Taking tracking error and sensor resource consumption into account, we establish two task metrics for a multi-objective optimization problem. The refined algorithm is employed to solve the multi-sensor scheduling optimization problem. Simulation results indicate that the enhanced algorithm achieves superior solution quality compared to the conventional NSGA-II. © 2025 institute of Physics Publishing. All rights reserved.

关键词： Scheduling algorithms

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Spiking Reinforcement Learning Enhanced by Bioinspired Event Source of Multi-dendrite Spiking Neuron and Dynamic Thresholds

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IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 618-629页

作者： Xingyue Liang Qiaoyun Wu Yun Zhou Chunyu Tan Hongfu Yin Changyin Sun the School of Artificial Intelligence Anhui University Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education IEEE the Institute of Artificial Intelligence Hefei Comprehensive National Science Center the School of Automation Southeast University the Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education

Deep reinforcement learning(DRL) achieves success through the representational capabilities of deep neural networks(DNNs). Compared to DNNs, spiking neural networks(SNNs),known for their binary spike information processing, exhibit more biological characteristics. However, the challenge of using SNNs to simulate more biologically characteristic neuronal dynamics to optimize decision-making tasks remains, directly related to the information integration and transmission in *** by the advanced computational power of dendrites in biological neurons, we propose a multi-dendrite spiking neuron(MDSN) model based on Multi-compartment spiking neurons(MCN), expanding dendrite types from two to multiple and deriving the analytical solution of somatic membrane *** apply the MDSN to deep distributional reinforcement learning to enhance its performance in executing complex decisionmaking tasks. The proposed model can effectively and adaptively integrate and transmit meaningful information from different sources. Our model uses a bioinspired event-enhanced dendrite structure to emphasize features. Meanwhile, by utilizing dynamic membrane potential thresholds, it adaptively maintains the homeostasis of MDSN. Extensive experiments on Atari games show that the proposed model outperforms some state-of-the-art spiking distributional RL models by a significant margin.

关键词： Deep reinforcement learning multi-compartment spiking neurons spiking neural network

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Successive Interference Cancellation-Enabled Timely Status Update in Linear Multi-hop Wireless Networks

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IEEE Transactions on Mobile Computing 2025年第6期24卷 5298-5311页

作者： Han, Xinhui Pan, Haoyuan Wang, Zhaorui Li, Jianqiang Shenzhen University College of Computer Science and Software Engineering Shenzhen China Future Network of Intelligence Institute The School of Science and Engineering Shenzhen China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology The College of Computer Science and Software Engineering Shenzhen China

We investigate the timely status update in linear multi-hop wireless networks, where a source tries to deliver status update packets to a destination through a sequence of half-duplex relays. Timeliness is measured by the age of information (AoI) metric. Maintaining a low AoI at the destination typically necessitates frequent transmission of update packets from the source. However, high packet transmission frequency in multi-hop scenarios can result in mutual wireless interference at intermediate relays. Specifically, when an intermediate relay receives wireless signals of a new packet from its previous node, simultaneous transmission of an old packet by its subsequent node to the next hop may cause wireless signals to interfere at the intermediate relay, conventionally leading to packet collision. A key motivation to solve this issue is that the intermediate relay has previously received the old packet (which can thus be forwarded to the subsequent node for further relaying). Hence, successive interference cancellation (SIC) can be employed to mitigate interference of the old packet and recover the new packet. This paper designs an SIC-enabled packet relaying scheme tailored to low AoI. Initially focusing on a three-hop network, we subsequently extend our approach to general multi-hop networks. We model the multi-hop relaying scheme using a Markov chain to derive the theoretical average AoI. Theoretical and simulation results indicate that the SIC-enabled packet relaying scheme significantly reduces the average AoI compared to the non-SIC approaches, owing to an increased packet transmission frequency at the source and the effectiveness of SIC techniques at the relays. © 2002-2012 IEEE.

关键词： Markov chains

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Fractal autoencoder with redundancy regularization for unsupervised feature selection

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science China(Information sciences) 2025年第2期68卷 89-102页

作者： Meiting SUN Fangyu LI Honggui HAN School of Information Science and Technology Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Digital Community Ministry of Education Beijing Institute of Artificial Intelligence

Feature selection is a crucial step in data preprocessing because feature selection reduces the dimensionality of data by eliminating irrelevant and redundant features. Since manual labeling is expensive, unsupervised feature selection has received increasing attention in recent years. However, existing unsupervised feature selection methods tend to prioritize selecting highly correlated features over exploring feature diversity. Thus, a regularized fractal autoencoder(RFAE) method is proposed to select informative features in an unsupervised way. Specifically, the fractal autoencoder network extends autoencoders to construct a correspondence neural network and a selection neural network. The correspondence neural network exploits interfeature correlations and the selection neural network selects the informative features. A redundancy regularization strategy consists of a redundancy elimination regularization term based on the dependency between features and a sparse regularization term based on the group lasso. The redundancy regularization strategy eliminates feature subset redundancy and enhances network generalization ability. Extensive experimental results on six publicly available datasets show that the proposed RFAE outperforms the compared methods regarding clustering accuracy and classification accuracy. Moreover, the proposed RFAE achieves acceptable computation efficiency.

关键词： unsupervised feature selection fractal autoencoder correspondence neural network selection neural network redundancy regularization strategy

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Rapid acquisition of a unique combination of strength and ductility in La-Fe-Co-Si magnetocaloric alloy: Eutectic interface construction by selective laser melting

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Journal of Manufacturing Processes 2025年 141卷 1098-1108页

作者： Zhang, Ruochen Yuan, Bo Qian, Mingfang Zhang, Xuexi Liu, Zhengxian School of Materials Science and Engineering Shenyang Ligong University Shenyang110159 China Institute of Intelligent Manufacturing Technology Shenzhen Polytechnic University Guangdong Shenzhen518055 China School of Materials Science and Engineering Harbin Institute of Technology Harbin150001 China Beijing System Design Institute of Electro-mechanic Engineering Beijing100854 China

In this work, La,Cu,Si-rich eutectic interfaces consisting of the refined α-Fe and LaCuSi phases are primarily constructed via adding Cu by selective laser melting to rapidly acquire a combination of strength and ductility in La-Fe-Co-Si alloy. As a result, the ingot exhibits a decreased porosity from 2.52 vol% to 1.84 vol%. It is also the lowest porosity that has been reported among the La-Fe-Si-based ingots fabricated by laser additive manufacturing until now compared to those without eutectic interfaces， so these as-built ingots exhibit the enhanced hardness. More importantly, due to the ductility of α-Fe and LaCuSi phases, the ductility of the ingot is significantly increased to 6 % and a yield stage is first discovered with a yield strength 549.43 MPa and ductility 6 % in the as-built ingot. Simultaneously, the compression strength is as large as 583.88 MPa. After a short annealing process at 1323 K for 12 h, large amounts of the refined magnetocaloric La(Fe,Co,Si)13 phases are formed. The interfacial phases are transformed to LaCu2 phases semi-coherent to La(Fe,Co,Si)13 phases and ductile LaCuSi phases. It causes an extra 36 % enhancement of compression strength to 918.98 MPa without any ductility sacrifice thanks to the combined impact of the refinement and second-phase strengthening. It is the highest strength that has ever been reported in this material. Simultaneously, a wide working temperature interval 300 K–340 K with high magnetocaloric cyclicity is obtained. © 2025 The Society of Manufacturing Engineers

关键词： Silicon alloys

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Development of a high-resolution near-surface meteorological forcing dataset for the Third Pole region

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science China Earth sciences 2025年第4期68卷 1274-1290页

作者： Yaozhi JIANG Wenjun TANG Kun YANG Jie HE Changkun SHAO Xu ZHOU Hui LU Yingying CHEN Xin LI Jiancheng SHI School of Resources and Environment University of Electronic Science and Technology of ChinaChengdu611731China Department of Earth System Science Ministry of Education Key Laboratory for Earth System ModelingInstitute for Global Change StudiesTsinghua UniversityBeijing100084China National Tibetan Plateau Data Center State Key Laboratory of Tibetan Plateau Earth SystemEnvironment and ResourcesInstitute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing100101China State Key Laboratory of Hydroscience and Engineering Tsinghua UniversityBeijing100084China Tsinghua University(Department of Earth System Science)-Xi’an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping Beijing100084China National Space Science Center Chinese Academy of SciencesBeijing100190China

Recently,the Third Pole(TP)region has experienced rapid environmental *** data are essential for hydrometeorological and ecological applications but still have large uncertainties on the TP owing to the heterogeneous land surface,complex terrain,and sparse weather *** this study,a long-term(1979–2020)high-resolution(1/30°)meteorological forcing dataset for the TP(TPMFD)was developed,as a sister to the widely used China Meteorological Forcing Dataset(CMFD).The TPMFD comprises seven components necessary for driving land surface *** have previously contributed precipitation and downward shortwave radiation data for the TPMFD,and this study presents the development of five other components and focuses on validations for all ***,2-meter air temperature,2-meter specific humidity,10-meter wind speed,and surface air pressure were generated by combining the fifth-generation atmospheric reanalysis for European Center for Medium-Range Weather Forecasts(ERA5),a short-term high-resolution atmospheric simulation,and in situ observations,and the downward longwave radiation was calculated using semi-physical *** cross-validation and independent-validation demonstrated that most variables in the developed dataset outperformed those in widely used reanalysis datasets,including ERA5,ERA5-Land,and the Global Land Data Assimilation system(GLDAS).This dataset is expected to be beneficial for climate analyses and modeling applications of land-surface processes on the TP.

关键词： Meteorological data Third Pole High-resolution Data downscaling and merging

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Propagation of Laguerre - Gaussian beam in turbulent plasma sheaths 4

Propagation of Laguerre - Gaussian beam in turbulent plasma ...

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4th International Computational Imaging Conference, CITA 2024

作者： Zhang, Lirong Dong, Jiduo Zhang, Hao Liu, Yang Shi, Hongyan Zang, Qing Department of Physics Harbin Institute of Technology Harbin China Institute of System Engineering Academy of Military Science Beijing China

ISBN: (纸本)9781510688834

Laser communication provides a promising solution for solving the communication blackout problem in reentry and hypersonic flight. Application of the orbital angular momentum (OAM) of laser has advantages in communication capacity and security. This paper has investigated the propagation of Laguerre - Gaussian beam in plasma sheaths for different turbulence intensity, in order to evaluate the feasibility of OAM communication. Through numerical simulation, basic characteristics of Laguerre - Gaussian beam are gotten, such as the distribution of laser intensity and phase, the scintillation coefficient, the spiral spectrum and detection probability. The effects of turbulence intensity and topological charge number on laser intensity scintillation coefficient and OAM detection probability are analyzed. The results show that when the variance of refractive index fluctuation is below 10-14, the above characteritics of laser propagation are less influenced by sheath turbulence, which shows the potential feasibility of OAM communication in alleviating the blackout problem. For more intense turbulence, intersymbol interference is predicted to be obvious, and compensation measures are necessary. When the refractive index variance is greater than 10-11, the weight of original OAM state is smaller than 0.01, and the OAM communication through plasma sheaths is difficult. © 2025 SPIE.

关键词： Gaussian beams

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Scattering of laser by ablation particles in hypersonic plasma flow

Scattering of laser by ablation particles in hypersonic plas...

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2024 Advanced Fiber Laser Conference, AFL 2024

作者： Dong, Jiduo Zhang, Lirong Wei, Binbin Zhang, Hao Shi, Hongyan Liu, Chunheng Liu, Yang Zang, Qing Department of Physics Harbin Institute of Technology Harbin China Institute of System Engineering Academy of Military Science Beijing China

ISBN: (数字)9781510688889

ISBN: (纸本)9781510688872

Laser communication has potential to solve the communication blackout problem during hypersonic flight of reentry capsule or hypersonic vehicles. The influence of ablation particles from thermal protection materials of the vehicles is an important factor for the laser communication design. This paper firstly estimates the basic parameters of ablation particles from previous experimental reports. On this basis, attenuation by Mie and Debye scattering is calculated. It is indicated that the attenuation caused by Debye scattering is far less than 1. And the attenuation by Mie scattering is obvious when the particle number density exceeds 104 /cm3. From the results in this paper, 5 dB redundancy corresponding to the influence of ablation particles is suggested for the laser communication system design. © 2025 SPIE.

关键词： Hypersonic vehicles

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