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Verification of the 2D/1D coupling 3D transport code TIGER with C5G7 benchmarks

International Journal of Advanced Nuclear reactor design and technology 2019年 1卷 43-50页

作者： Wu, Wenbin Yu, Yingrui Li, Qing Yao, Dong Luo, Qi Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

TIGER is a 2D/1D coupling 3D transport code developed by Nuclear Power Institute of China based on large-scale parallel computation. It employs 2D domain-decomposed parallel Matrix MOC in the radial direction and 1D finite difference diffusion in the axial direction. 2D domain-decomposed parallel Matrix MOC is accelerated with multi-group and multi-domain coupled PGMRES algorithm. Generally, 2D planar problem are solved independently and parallel degree is natural in the axial direction. Combination of the parallel degrees of both radial and axial directions is adopted in TIGER to achieve the large-scale parallel computation. In this paper, a few variations of C5G7 benchmarks were created based on the published benchmarks. Reference results of these variations were provided by the Monte Carlo code RMC. To demonstrate the accuracy and efficiency of TIGER, C5G7 benchmarks and these relevant variations were calculated by TIGER, and the comparisons were made with the published results and Monte Carlo results. © 2019 Xi'an Jiaotong University

关键词： Matrix algebra

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A digital image correlation method for strain measurement using higher-order X-ray optical field components

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Optics and Laser technology 2025年 189卷

作者： Li, Zixin Su, Yong Li, Jia Yuan, Yajun Xiao, Yu Xu, Feng CAS Key Laboratory of Mechanical Behaviour and Design of Materials Department of Modern Mechanics CAS Center for Excellence in Complex System Mechanics University of Science and Technology of China Anhui Hefei230027 China School of Biomedical Engineering Anhui Medical University Hefei230032 China

To achieve highly sensitive characterization of internal material strain fields, this study proposes a digital image correlation strain field measurement method based on higher-order X-ray optical field *** method utilizes random gratings to modulate the X-ray optical field, extracts the information of higher-order field components during material deformation based on the discrepancy between the theoretical transmission model and the experimental measurement, and combines the extracted information with Digital Image Correlation (DIC) technology to achieve precise measurement of internal material strain *** to the experimental comparison and verification, the relative displacement difference between the deformation field distribution obtained by the proposed method and the results of the traditional absorption phase method in the non-boundary and stress concentration area proves that the correlation information of the higher order components can truly reflect the deformation characteristics of the ***, compared to traditional methods, this method demonstrates higher sensitivity in strain field characterization. Particularly in the measurement of shear strain at crack tips, its computational results align more closely with linear elastic fracture mechanics theoretical predictions, providing a novel experimental approach for studying material damage evolution and failure mechanisms. © 2025 Elsevier Ltd

关键词： Crack tips

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Line laser measurement, evaluation and utilization of holistic gear deviations

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Measurement: Sensors 2025年

作者： Shi, Zhaoyao Sun, Yanqiang Yu, Bo Wang, Xiaoyi Zhao, Baoya Beijing Engineering Research Center of Precision Measurement Technology and Instruments Beijing University of Technology Beijing China School of Construction Machinery Shandong Jiaotong University Shandong Jinan China Henan Key Laboratory of Mechanical Design and Transmission System Henan University of Science and Technology Luoyang China School of Mechatronics Engineering North China Institute of Aerospace Engineering Langfang China

The measurement of holistic gear deviations (HGD) is a fast-developing field of gear measurement technology in recent years. Line laser measurement is an effective approach to measure the HGD, and is beginning to be applied. However, compared with the mature conventional gear measurement based on "point" and "line" measurement, the holistic gear deviations measurement is imperfect, especially in acquisition, evaluation and utilization. This paper introduces the line laser measurement model of HGD and puts forward the solutions to the problems such as the determination of the position and attitude parameters of the laser sensor, the influence of the incident angle of the measuring light, and the occlusion of the adjacent gear teeth in the measurement. The representation method of the three-dimensional deviations of the tooth flank is illustrated. According to the HGD, a unified model for calculating the elemental deviations of the gear, such as the involute and helix, is found. The HGD evaluation system is established by means of the statistical analysis method. The full use of the HGD is explored from two aspects of gear process error analysis and gear performance prediction, including tooth flank twist analysis, calculation of gear integrated error (GIE) and transmission error (TE), matching method of large batch of gears, etc. The analysis system of HGD is built on the cloud platform. The measurement, evaluation and utilization of HGD are the key technologies of the next generation gear measurement. © 2025

关键词： Metrology Gear Holistic gear deviations

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Distributed cooperative pursuit with encirclement guarantee via robust model predictive control

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Robotics and Autonomous systems 2025年 192卷

作者： Wang, Chen Chen, Hua Pan, Jia Zhang, Wei School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China Department of Computer Science The University of Hong Kong Hong Kong SAR Hong Kong Zhejiang University-University of Illinois Urbana-Champaign Institute Zhejiang University Haining China

This paper studies a cooperative pursuit-evasion problem with the encirclement guarantee. Inspired by the importance of forming an encirclement of the evader in practical applications such as surveillance, we explicitly consider the encirclement condition throughout the game in the synthesis of a cooperative pursuit strategy. Different from classical pursuit-evasion problems, the studied problem requires a careful balance between the capture and encirclement conditions. To solve this challenging problem, we exploit the geometric nature of the encirclement condition and develop a robust model predictive control (RMPC) based strategy to account for the encirclement and capture requirements jointly. To address the bilinearity of the centralized RMPC problem and to respect the communication constraint, we proposed a novel approach to decouple the pursuit-evasion problem among the pursuers. Such a distributed strategy relies on a novel Encirclement-Guaranteed Sectors Set (EGSS) concept that inner-approximates the original bilinear RMPC problem with a set of decoupled linear RMPC problems. These linear problems can be efficiently solved by Tube Model Predictive Control (TMPC) with only local information. To validate the effectiveness of the proposed framework, we provide extensive simulation experiments with realistic mobile robot models. Comparisons with the baseline Voronoi-based strategy demonstrate the robustness of the proposed approach in guaranteeing encirclement while achieving successful capture. © 2025 Elsevier B.V.

关键词： Predictive control systems

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Ballistic performance of CFRP under normal and oblique impacts by square fragments: Experimental, numerical, and theoretical investigations

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Thin-Walled Structures 2025年 215卷

作者： Feng, Bo Dong, Yongxiang Min, Qiang Liu, Jian Shi, Xinping Tian, Yumo An, Fengjiang State Key Laboratory of Explosion Science and Safety Protection Beijing Institute of Technology Beijing 100081 China National Key Laboratory of Digital and Agile Aircraft Design Chengdu Aircraft Design & Research Institute Chengdu610091 China Beijing Institute of Electronic System Engineering Beijing 1000854 China

High-performance carbon fibre-reinforced polymer (CFRP) composites are commonly used as external protective structures in military and aerospace applications and are frequently subjected to impact from fragments or projectiles. This study investigated the damage mechanisms of CFRP laminates under normal and oblique impacts from square fragments. Impact tests were conducted on 3–9 mm CFRP laminates using 4 g and 7 g square fragments at velocities ranging from 100 to 1300 m/s and impact angles from 0° to 60° Finite element simulations based on yarn-scale models were also performed. The results revealed that under oblique penetration conditions, the fragment edge initially contacting the target plate caused deeper shear damage. An analytical model was developed to predict the residual velocity of the fragments and the ballistic limit velocity (BLV) of the CFRP laminates. The average error between the model predictions and experimental results was 8.42 %, whereas that between the predictions and simulation results was 3.69 %. Interestingly, the analysis revealed a non-zero minimum resistance angle for the laminate under square fragment impact, at which the BLV of the target plate was minimised. The predicted distribution range of the minimum resistance angle in this study was 23–28° The developed predictive model and identified "minimum resistance angle" provide theoretical foundations for protective engineering design, bridging laboratory research to real-world high-risk applications such as military and aerospace. © 2025 Elsevier Ltd

关键词： Military applications

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In-process density measurement for model-based process optimization of functionally graded foam microcellular structures in material extrusion additive manufacturing

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Additive Manufacturing 2025年 106卷

作者： Zhao, Donghua Zhou, Zhaowei Ruan, Kaicheng Xu, Xuguang Zhang, Guoquan Chen, Ziwen Wang, Kui Xiong, Yi School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen518055 China Key Laboratory of Traffic Safety on Track of Ministry of Education School of Traffic and Transportation Engineering Central South University Changsha410075 China

Additive manufacturing with in-process foaming enables the creation of complex, porous structures with graded density and porosity. However, the current process planning method, based on volume conservation principles, fails to accurately capture the nonlinear process-density relationship, thereby limiting the precision of density control. Herein, this study proposes a model-based process optimization approach that utilizes a non-contact in-process density measurement method, enabling optimization of both density and track width. First, this approach accelerates data collection and constructs a reliable process-density and process-width regression model, facilitating rapid process optimization of functionally graded foam. Then, the model captures the nonlinear effects of temperature and printing speed on thermally expandable microspheres, where high temperatures and low speeds promote foaming, and vice versa. Finally, foam samples with gradient densities, produced using optimized parameters, validate the regression model's accuracy and feasibility for customizing intralayer and interlayer density, investigating continuous density gradients, and pressure distribution-driven insoles. Generally, the results highlight the critical role of temperature and printing speed in determining foam density and microstructure, significantly advancing high-quality, controlled-density foam production via material extrusion additive manufacturing. Moreover, the study presents a framework for in-situ, in-process density measurement, aiding the rapid development of process parameter windows for density-variable novel materials based on mass conservation. © 2025 Elsevier B.V.

关键词： Process control

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A Unified Tensor-Based Joint AUD and ISAC Parameter Estimation With Large-Scale User Access

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IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Yang, Tiancheng He, Dongxuan Hou, Huazhou Wang, Hua Yin, Hao Huang, Yongming Wang, Zhaocheng Quek, Tony Q.S. Beijing Institute of Technology School of Information and Electronics Beijing100081 China Purple Mountain Laboratories Nanjing211111 China Institute of China Electronic System Engineering Beijing100141 China Southeast University School of Information Science and Engineering Nanjing210096 China Tsinghua University Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Beijing100084 China Tsinghua Shenzhen International Graduate School Shenzhen518055 China Singapore University of Technology and Design Singapore487372 Singapore

The integration of active user detection (AUD) and integrated sensing and communication (ISAC) enables the realization of communication and sensing functionalities over one hardware platform within the realm of ultra-massive machine-type communications (umMTC). However, the coupling of communication and sensing signals at the receiver poses challenges in accurately acquiring the respective parameters for both functionalities. In this paper, a unified tensor-based joint communication and sensing parameter estimation algorithm is proposed. First, leveraging CANDECOMP/PARAFAC decomposition (CPD), the channel model is converted into a unified tensor-based form, facilitating effective processing of the received signals. Subsequently, a two-stage CPD-based unified communication and sensing parameter estimation algorithm is developed. In the first stage, the factor matrix is estimated by utilizing the matrix subspace-based method and the Vandermonde property of the matrix. In the second stage, equivalent path parameters are extracted based on the estimated factor matrices. Furthermore, to solve the coupling problem of equivalent path parameters, a joint alternating iterative pilot-channel estimation (JAI-PCE) algorithm is proposed, effectively decoupling and accurately estimating the parameters. Simulation results verify the effectiveness of our proposed algorithm in terms of AUD, channel estimation, and radar sensing. © 2015 IEEE.

关键词： Channel estimation

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Research for the heat leakage caused by gaps on barrel insulation structure of reactor pressure vessel

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International Journal of Advanced Nuclear reactor design and technology 2019年 1卷 30-42页

作者： Tian, Qiu Ying, Luo Yang, Qiu Yu-guang, Li Guo-fu, Xie Li-cai, Yang Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China ChengduSichuan Province610213 China

Due to the function requirements of the Cavity Injection and Cooling system, the barrel insulation structure of HPR1000 reactor pressure vessel has been greatly improved compared with the previous projects. In the past, the empirical formula method was used to evaluate the thermal properties of the insulation, but the influences of the support structure and the excessive gap on insulation are difficult to evaluate. In this paper, the fitting formula of the equivalent thermal conductivity and the qualitative temperature of the insulation have been obtained firstly through the heat transfer test. Then, ANSYS Fluent was used to simulate the barrel insulation structure with gaps of HPR1000. A circumferential 15° model was established to obtain evaluation method for flow leakage with gaps in hot state, and then a whole model of the barrel insulation structure with gaps was established to obtain heat loss of insulation based on calculation of flow leakage. The sensitivity of gap size and ventilation parameters to heat leakage was further analyzed. Finally, it was indicated that, by minimizing joint gap length, setting of overlaps, controlling cold gap, optimizing structure of insulation support, the effect of heat leakage caused by gaps can be reduced. © 2019 Xi'an Jiaotong University

关键词： Thermal insulation

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Multiscale microstructure-based constitutive modeling of high-temperature creep rupture in post-irradiated ODS steels

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Journal of Materials Research and technology 2025年 36卷 8037-8047页

作者： Xiaobao Fu Zhenyu Zhao Zeyuan Yan Yuntao Zhong Dengke Chen Ruiqian Zhang Bin Liu Qihong Fang Jia Li State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle Engineering Hunan University Changsha 410082 PR China State Key Laboratory of Powder Metallurgy Central South University Changsha 410083 PR China Science and Technology on Reactor Fuel and Materials Laboratory Nuclear Power Institute of China Chengdu 610213 PR China Department of Engineering Mechanics School of Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai 200240 PR China

Oxide dispersion strengthened (ODS) steel exhibits the great potential as structural materials in nuclear energy production, owing to the complex interface between the oxide particles and the matrix to enhance the resistance of radiation damage. However, the impact of irradiation-induced defects on the thermal creep rate and resistance of ODS steel currently remains inadequately understood. The point defect concentration with the increasing time is predicted, and the coarsening of oxide particles is quantitatively evaluated during the creep using the Ostwald ripening theory. Considering the irradiation-induced microstructure, a modified thermal creep rate model is proposed, and the thermal creep rate and creep strain of irradiated ODS steel are predicted at different temperatures. The results show that the thermal creep rate reaches 3 × 10 −5 s −1 at the temperature of 500 °C and stress of 200 MPa, while the thermal creep strain does not exceed 3 % at the temperature of 800 °C. The average size and number density of the irradiated ODS steel are 8.34 nm and 2.72 × 10 18 m −3 . Meanwhile, the effect of the activation energy on the thermal creep life is predicted at different temperatures. The thermal creep life is maintained in the higher temperature range, even exceeding 10,000 h at 600 °C for irradiated ODS steels. High temperature causes the increased dislocation activity, and the coarsened oxide particles effectively hinder dislocation motion, thereby maintaining structural stability. This work aims to shed light on the influence of post-irradiation microstructure on the thermal creep performance of irradiated ODS steels, ultimately leading to the improved prediction of creep life.

关键词： Irradiation Oxide dispersion strengthening Point defect Thermal creep rate

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Optimizing near-carbon-free nuclear energy systems:advances in reactor operation digital twin through hybrid machine learning algorithms for parameter identification and state estimation

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Nuclear science and Techniques 2024年第8期35卷 177-203页

作者： Li‑Zhan Hong He‑Lin Gong Hong‑Jun Ji Jia‑Liang Lu Han Li Qing Li Paris Elite Institute of Technology Shanghai Jiao Tong UniversityShanghai 200240China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of ChinaChengdu 610041China

Accurate and efficient online parameter identification and state estimation are crucial for leveraging digital twin simulations to optimize the operation of near-carbon-free nuclear energy *** previous studies,we developed a reactor operation digital twin(RODT).However,non-differentiabilities and discontinuities arise when employing machine learning-based surrogate forward models,challenging traditional gradient-based inverse methods and their *** study investigated deterministic and metaheuristic algorithms and developed hybrid algorithms to address these *** efficient modular RODT software framework that incorporates these methods into its post-evaluation module is presented for comprehensive *** methods were rigorously assessed based on convergence profiles,stability with respect to noise,and computational *** numerical results show that the hybrid KNNLHS algorithm excels in real-time online applications,balancing accuracy and efficiency with a prediction error rate of only 1%and processing times of less than 0.1 ***,algorithms such as FSA,DE,and ADE,although slightly slower(approximately 1 s),demonstrated higher accuracy with a 0.3%relative L_2 error,which advances RODT methodologies to harness machine learning and system modeling for improved reactor monitoring,systematic diagnosis of off-normal events,and lifetime management *** developed modular software and novel optimization methods presented offer pathways to realize the full potential of RODT for transforming energy engineering practices.

关键词： Parameter identification State estimation reactor operation digital twin Reduced order model Inverse problem

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