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Numerical Simulation of Random Vibration Analysis for Ball Grid Array Package

IOP Conference Series: Earth and environmental science 2021年第3期769卷

作者： Wenhao Luo Wei Su Xianshan Dong Zhenhua Nie Agam Tomar MOE Key lab of Disaster Forecast and Control in Engineering Guangzhou China School of Mechanics and Construction Engineering Jinan University Guangzhou China Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China Faculty of Engineering and Mathematical Sciences University of Western Australia Perth Australia

This paper uses ANSYS Workbench (a finite element analysis software) to simulate BGA ceramic packing. The author models fixture, ceramic and metal steel. Then different thickness papers are laid on the BGA product. By random vibration analysis, the natural frequency and mode of the sample are obtained. According the results, the author discusses the relationship between different thickness papers and PSD-frequency curve. It provides a benefit instruction for the design of BGA packing.

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Dependency-based targeted attacks in interdependent networks

arXiv

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arXiv 2019年

作者： Zhou, Dong Bashan, Amir School of Reliability and Systems Engineering Beihang University Beijing100191 China National Key Laboratory of Science and Technology on Reliability and Environmental Engineering Beijing100191 China Department of Physics Bar-Ilan University Ramat Gan52900 Israel

Modern large network systems normally work in cooperation and incorporate dependencies between their components for purposes of efficiency and regulation. Such dependencies may become a major risk since they can cause small scale failures to propagate throughout the system. Thus, the dependent nodes could be a natural target for malicious attacks that aim to exploit these vulnerabilities. Here, we consider for the first time a new type of targeted attacks that are based on the dependency between the networks. We study strategies of attacks that range from dependency-first to dependency-last, where a fraction 1 − p of the nodes with dependency links, or nodes without dependency links, respectively, are initially attacked. We systematically analyze, both analytically and numerically, the percolation transition of partially interdependent Erdős-Rényi (ER) networks, where a fraction q of the nodes in each network are dependent upon nodes the other network. We find that for a broad range of dependency strength q, ‘dependency-first’ strategy, which intuitively is expected to increase the system’s vulnerability, actually leads to a more stable system, in terms of lower critical percolation threshold pc, compared with random attacks of the same size. In contrast, the ‘dependency-last’ strategy leads to a more vulnerable system, i.e., higher pc, compared with a random attack. By exploring the dynamics of the cascading failures initiated by dependency-based attacks, we explain this counter-intuitive effect. Our results demonstrate that the most vulnerable components in a system of interdependent networks are not necessarily the ones that lead to the maximal immediate impact but those which initiate a cascade of failures with maximal accumulated damage. Copyright © 2019, The Authors. All rights reserved.

关键词： Percolation (fluids)

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Experimental Study on the Ratio Model of Similar Materials in the Simulation Test of Coal and Gas Outburst

Research Square

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Research Square 2020年

作者： Sun, Peng Sun, Haitao Lin, Fujin Yang, Xuelin Jiang, Wangang Wu, Winbin Jia, Quanmin State Key Laboratory of Coal Mine Disaster Dynamics and Control College of Resources and Environmental Science Chongqing University Chongqing400044 China China Coal Technology Engineering Group Chongqing Research Institute No.55 Shangqiao No.3 Village Shapingba District Chongqing China

In order to obtain similar materials with specific physical and mechanical parameters and adsorption and desorption indexes used in coal and gas outburst simulation tests, pulverized coal was selected as aggregate, sodium humate as cementing agent and river sand as auxiliary materials. Based on this, an orthogonal test with 6 factors and 5 levels was designed, and the tests of weighing, uniaxial compression, firmness and adsorption and desorption were carried out. The parameters such as density, uniaxial compressive strength, elastic modulus, firmness coefficient and adsorption-desorption index of similar materials with different ratios were obtained, and the sensitivity of each factor was analyzed by range analysis. The influence law of various factors on the parameters of similar materials was studied, the ratio model of similar materials was obtained and the reliability of the model was verified, and a complete method for determining the ratio model of similar materials of outburst coal was put forward. The results show that the density of similar materials increases with the increase of river sand content, the uniaxial compressive strength and elastic modulus increase significantly with the increase of pulverized coal ratio and sodium humate content, and the firmness coefficient increases linearly with the increase of pulverized coal ratio. The adsorption constant an increases linearly with the increase of sodium humate content, while the adsorption constant b decreases linearly with the increase of sodium humate content. The initial elution rate ∆p of similar materials increases at first and then decreases with the increase of sodium humate content. © 2020, CC BY.

关键词： Coal

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Design and Development of a 3D Position-Sensitive Detector for 4π View Gamma Imager Based on Dual-Ended Readout Technique

Design and Development of a 3D Position-Sensitive Detector f...

引用

IEEE Symposium on Nuclear science (NSS/MIC)

作者： Peng Fan Zhenlei Lyu Tianpeng Xu Yifan Hu Qingyang Wei Chenglin Zhu Lixiang Jiang Yan Xia Yaqiang Liu Tianyu Ma National key Laboratory of Science and Technology on Reliability and Environmental Engineering Beijing Institute of Spacecraft Environment Engineering Beijing China Department of Engineering Physics Tsinghua University Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing China Beijing Institute of Spacecraft Environment Engineering Beijing China

The following topics are dealt with: medical image processing; positron emission tomography; image reconstruction; nuclear electronics; readout electronics; position sensitive particle detectors; solid scintillation d... 详细信息

ISBN: (数字)9781728141640

ISBN: (纸本)9781728141657

关键词： Detectors Crystals Three-dimensional displays Calibration Energy resolution Energy measurement Fans

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Foundation models and intelligent decision-making: Progress, challenges, and perspectives

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Innovation 2025年第6期6卷 100948页

作者： Huang, Jincai Xu, Yongjun Wang, Qi Wang, Qi [Cheems] Liang, Xingxing Wang, Fei Zhang, Zhao Wei, Wei Zhang, Boxuan Huang, Libo Chang, Jingru Ma, Liantao Ma, Ting Liang, Yuxuan Zhang, Jie Guo, Jian Jiang, Xuhui Fan, Xinxin An, Zhulin Li, Tingting Li, Xuefei Shao, Zezhi Qian, Tangwen Sun, Tao Diao, Boyu Yang, Chuanguang Yu, Chenqing Wu, Yiqing Li, Mengxian Zhang, Haifeng Zeng, Yongcheng Zhang, Zhicheng Zhu, Zhengqiu Lv, Yiqin Li, Aming Chen, Xu An, Bo Xiao, Wei Bai, Chenguang Mao, Yuxing Yin, Zhigang Gui, Sheng Su, Wentao Zhu, Yinghao Gao, Junyi He, Xinyu Li, Yizhou Jin, Guangyin Ao, Xiang Zhai, Xuehao Tan, Haoran Yun, Lijun Shi, Hongquan Li, Jun Fan, Changjun Huang, Kuihua Harrison, Ewen Leung, Victor C.M. Qiu, Sihang Dong, Yanjie Zheng, Xiaolong Wang, Gang Zheng, Yu Wang, Yuanzhuo Guo, Jiafeng Wang, Lizhe Cheng, Xueqi Wang, Yaonan Yang, Shanlin Fu, Mengyin Fei, Aiguo Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China Department of Automation Tsinghua University Beijing100084 China Huazhong University of Science and Technology Wuhan430074 China School of Automation Beijing Institute of Technology Beijing100081 China School of Information Science and Engineering Dalian Polytechnic University Dalian116034 China National Engineering Research Center for Software Engineering Peking University Beijing100871 China Department of Oral Implantology Peking University School and Hospital of Stomatology Beijing100081 China Guangzhou511453 China College of Information and Electrical Engineering China Agricultural University Beijing100083 China IDEA Research International Digital Economy Academy Shenzhen518057 China Institute of Automation Chinese Academy of Sciences Beijing100190 China The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China College of Science National University of Defense Technology Changsha410073 China Center for Systems and Control College of Engineering Peking University Beijing100871 China Gaoling School of Artificial Intelligence Renmin University of China Beijing100872 China College of Systems Engineering National University of Defense Technology Changsha410073 China Laboratory for Big Data and Decision National University of Defense Technology Changsha410073 China College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore School of Electrical Engineering Chongqing University Chongqing400044 China Department of Mathematics The University of Hong Kong Hong Kong SAR999077 China School of Food Science and Technology Dalian Polytechnic University Dalian116034 China Centre for Medical Informatics University of Edinburgh EdinburghEH16 4UX United Kingdom Department of Stomatology Peking Union Medical College Hospital Chinese Academ

Intelligent decision-making (IDM) is a cornerstone of artificial intelligence (AI) designed to automate or augment decision processes. Modern IDM paradigms integrate advanced frameworks to enable intelligent agents to make effective and adaptive choices and decompose complex tasks into manageable steps, such as AI agents and high-level reinforcement learning. Recent advances in multimodal foundation-based approaches unify diverse input modalities—such as vision, language, and sensory data—into a cohesive decision-making process. Foundation models (FMs) have become pivotal in science and industry, transforming decision-making and research capabilities. Their large-scale, multimodal data-processing abilities foster adaptability and interdisciplinary breakthroughs across fields such as healthcare, life sciences, and education. This survey examines IDM's evolution, advanced paradigms with FMs and their transformative impact on decision-making across diverse scientific and industrial domains, highlighting the challenges and opportunities in building efficient, adaptive, and ethical decision systems. © 2025 The Authors

关键词： Reinforcement learning

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Spin density matrix for spin-23 particles

arXiv

引用

arXiv 2019年

作者： Song, Jiao Jiao Chang, Wan Ling Han, Ran Yang, Wei Hua School of Physics Shandong University Jinan Shandong250100 China Institute of High Energy Physics Beijing100049 China National Key Laboratory of Science and Technology on Reliability and Environmental Engineering Beijing Institute of Spacecraft Environment Engineering Beijing100094 China

The description of particles with spin can be attained by using a spin density matrix in high energy reaction. In this paper we present a parametrization of the spin density matrix for spin-3/2 particles in the Cartesian form. Comparing the standard form which is given by the spherical tensor operator with the Cartesian form yields four equations for the spin polarizations. These four equations can be used to eliminate the dependent spin polarizations. We also present the probabilistic interpretations of these spin polarizations by defining the spin operator in the spherical coordinate frame. These results can be used in the cross section to calculate the hadron polarizations. To illustrate this, we calculate the inclusive electron-positron annihilation process in terms of spin polarizations. Copyright © 2019, The Authors. All rights reserved.

关键词： Spin polarization

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reliability evaluation of stress in the direction of thickness based on ultrasonic measurement method 15

Reliability evaluation of stress in the direction of thickne...

引用

15th IEEE International Conference on Mechatronics and Automation, ICMA 2018

作者： Zhou, Kun Pan, Qinxue Shao, Chang Pan, Ruipeng School of Reliability and System Engineering Beihang University Beijing100191 China Southwest Technology and Engineering Research Institute Chongqing Engineering Research Center for Environmental Corrosion and Protection Chongqing400039 China Key Laboratory of Fundamental Science for National Defense for Advanced Machining Technology School of Mechanical Engineering Beijing Institute of Technology 5 South Zhongguancun Street Haidian District China

ISBN: (纸本)9781538660720

Based on the acoustoelastic theory, the ultrasonic nondestructive testing method of stress distribution in the thickness direction or bolt axial direction (which is called the Z axis after) is studied. The detection formula was deduced by combining the shear wave and the longitudinal wave, and the stress coefficient is replaced by the acoustoelasticity coefficient to reduce the impacts of the test principle, the uneven thickness and inaccurate stress coefficient. Then the software of ultrasonic testing stress in Z axis direction is compiled by combining interpolation with cross-correlation algorithm, and the detection system is constructed. Tensile tests are conducted with bolts of different specification and length. Error of tensile stress detection, compared with the calculation, is extremely subtle. When the stress increases to over 100MPa, the relative error is less than 5%. The experiment results show that this reliability evaluation method for stress in the direction of thickness is feasible. © 2018 IEEE.

关键词： Ultrasonic testing

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Sub-percent precision measurement of neutrino oscillation parameters with JUNO

引用

Chinese Physics C 2022年第12期46卷 28-49页

作者： Angel Abusleme Thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram Abid Aleem Fengpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Weidong Bai Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Antonio Bergnoli Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Jose Busto Ilya Butorov Anatael Cabrera Barbara Caccianiga Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Riccardo Callegari Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Chi Chan Jinfan Chang Yun Chang Guoming Chen Pingping Chen Po-An Chen Shaomin Chen Xurong Chen Yixue Chen Yu Chen Zhiyuan Chen Zikang Chen Jie Cheng Yaping Cheng Yu Chin Cheng Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso Olivia Dalager Christophe De La Taille Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko Jianmeng Dong Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Ran Du Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Donghua Fan Lei Fan Jian Fang Wenxing Fang Marco Fargetta Dmitry Fedoseev Zhengyong Fei Li-Cheng Feng Qichun Feng Richard Ford Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar Guanghua Gong Hui Gong Yuri Gornushkin Alexandre Göttel Marco Grassi Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Yuduo Guan Nunzio Guardone Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera YuenKeung Ho Yerevan Physics Institute YerevanArmenia UniversiéLibre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro Rio de JaneiroBrazil Pontificia Universidad Católica de Chile SantiagoChile Universidad Tecnica Federico Santa Maria ValparaisoChile Beijing Institute of Spacecraft Environment Engineering BeijingChina Beijing Normal University BeijingChina China Institute of Atomic Energy BeijingChina Institute of High Energy Physics BeijingChina North China Electric Power University BeijingChina School of Physics Peking UniversityBeijingChina Tsinghua University BeijingChina University of Chinese Academy of Sciences BeijingChina Jilin University ChangchunChina College of Electronic Science and Engineering National University of Defense TechnologyChangshaChina Chongqing University ChongqingChina Dongguan University of Technology DongguanChina Jinan University GuangzhouChina Sun Yat-Sen University GuangzhouChina Harbin Institute of Technology HarbinChina University of Science and Technology of China HefeiChina The Radiochemistry and Nuclear Chemistry Group in University of South China HengyangChina Wuyi University JiangmenChina Shandong University JinanChinaand Key Laboratory of Particle Physics and Particle Irradiation of Ministry of EducationShandong UniversityQingdaoChina Institute of Modern Physics Chinese Academy of SciencesLanzhouChina Nanjing University NanjingChina Guangxi University NanningChina East China University of Science and Technology ShanghaiChina School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghaiChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghaiChina Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuangChina Nankai University TianjinChina Wuhan University WuhanChina Xi'an Jiaotong University Xi'anChina Xiamen University XiamenChina School of Physics and Microelectronics Zhengzhou UniversityZhengzhou

JUNO is a multi-purpose neutrino observatory under construction in the south of *** publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the *** sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite *** is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data *** the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering *** new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.

关键词： neutrino oscillation reactor antineutrino precision measurement JUNO

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A Cascade Failure Model with Topology Variation

A Cascade Failure Model with Topology Variation

引用

Chinese Control Conference

作者： Hao Fan Ning Huang Guoyi Wen School of Reliability and Systems Engineering Beihang University Beijing Key Laboratory of Science & Technology on Reliability & Environmental Engineering Beihang University Beijing

The exsiting cascade failure models mostly focus on the network paralysis caused by the removal of the nodes or edges. However, in a transportation network, traffic accidents happened on edges create new nodes. In this paper, a model with topology variation is established by adopting the method of topology variation in biomolecular network. To establish the cascade failure model with network topology variation, we introduced a congestion coefficient into the user equilibrium distribution model. The proposed cascade failure model can be used to evaluate and quantify cascade failures caused by traffic accidents in a transportation network.

关键词： Topology variation Coupling Flow distribution Cascade failure

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Study on the wireless transmission method of cosmic ray detector in NPPs

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IOP Conference Series: Earth and environmental science 2020年第4期440卷

作者： Qian Yu Xiaolei Cheng Zhong Yi Lixiang Jiang Jipeng Sun National key Laboratory of Science and Technology on Reliability and Environmental Beijing 100094 China Beijing Institute of Spacecraft Environment Engineering Beijing 100094 China School of Nuclear Science and Engineering North China Electric Power University Beijing 102206 China

The data detected by the cosmic-ray imaging detector used to imaging the distribution of nuclear fuel cannot be transmitted outside the vessel. An ultrasonic through-wall communication system is designed to support the true-wireless monitoring in NPPs. This system could transmit data through the Steel Lining or the concrete wall of the containment wirelessly without cables and penetration, which could protect the leakproofness and integrity of the containment and enhance the safety of NPPs. With 40 kHz ultrasonic carrier waves, this system could communicate at 4.8kbits/s baud rate through over 10cm concrete wall, over 10cm steel liner and 10cm lead + 5cm steel combination wall. An application test has been finished on the 20:1 experiment containment to AP1000 in the Beijing key laboratory of Passive Safety technology for Nuclear Energy, this system could operate steadily with 0 error rate.

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