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Multi-physics coupling field finite element analysis on giant magnetostrictive materials smart component

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第5期10卷 653-660页

作者： zhang-rong zhao Yiojie WU Xin-jian GU Lei zhang Ji-feng YANG State Key Laboratory of Fluid Power Transmission and Control Modern Manufacture Engineering Institute Zhejiang University Hangzhou 310027 China Department of Mechanical & Electronic North China Institute of Science and Technology Beijing 101601 China

This study presents a new method to solve the difficult problem of precise machining a non-cylinder pinhole of a piston using embedded giant magnetostrictive material (GMM) in the component. We propose the finite element model of GMM smart component in electric, magnetic, and mechanical fields by step computation to optimize the design of GMM smart com-ponent. The proposed model is implemented by using COMSOL multi-physics V3.2a. The effects of the smart component on the deformation and the system resonance frequencies are studied. The results calculated by the model are in excellent agreement (relative errors are below 10%) with the experimental values.

关键词： Smart component Giant magnetostrictive Finite element method (FEM) modeling Non-cylinder piston pinhole Multi-physics coupling field

THE FLOW IN ROTATING CURVED CIRCULAR PIPE

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Journal of Hydrodynamics 2000年第1期12卷 108-116页

作者： zhang Jin suo, Shen Xin rong, zhang Ben zhao Department of Mechanics, Zhejiang University, Hangzhou 310027, P.R.China Zhejiang Univ Hangzhou China

The combined effects of the system rotation (Coriolis force) and curvature (centrifugal force) on the flow in rotating curved circular pipe with small curvature are examined by perturbation method. A second order perturbation solution is presented. The secondary flow structure and the primary axial velocity distributions are studied in detail. The loops of the secondary flow are more complex than those in a curved pipe without rotation or a rotating straight pipe. Its numbers depend on the body force ratio F which represents the ratio of the Coriolis to the centrifugal force. The maximum of the axial velocity is pushed to either outer bend or inner bend, which is also determined by F. The results are confirmed by the results of other authors who studied the same problem by different methods.

关键词： secondary flow curved pipe perturbation method

Recent Advances in Artificial Sensory Neurons:Biological Fundamentals,Devices,Applications,and Challenges

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Nano-Micro Letters 2025年第3期17卷 168-216页

作者： Shuai Zhong Lirou Su Mingkun Xu Desmond Loke Bin Yu Yishu zhang rong zhao Guangdong Institute of Intelligence Science and Technology HengqinZhuhai 519031People’s Republic of China College of Integrated Circuits Zhejiang UniversityHangzhou 3112000People’s Republic of China ZJU-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 310027People’s Republic of China Department of Science Mathematics and TechnologySingapore University of Technology and DesignSingapore 487372Singapore Department of Precision Instruments Tsinghua UniversityBeijing 100084People’s Republic of China Center for Brain‑Inspired Computing Research Tsinghua UniversityBeijing 100084People’s Republic of China IDG/McGovern Institute for Brain Research Tsinghua UniversityBeijing 100084People’s Republic of China

Spike-based neural networks,which use spikes or action potentialsto represent information,have gained a lot of attention because of their high energyefficiency and low power *** fully leverage its advantages,convertingthe external analog signals to spikes is an essential *** including analog-to-digital converters or ring oscillators,and sensorssuffer from high power and area *** efforts are devoted to constructingartificial sensory neurons based on emerging devices inspired by the biologicalsensory *** can simultaneously perform sensing and spike conversion,overcoming the deficiencies of traditional sensory *** review summarizesand benchmarks the recent progress of artificial sensory *** starts with thepresentation of various mechanisms of biological signal transduction,followed bythe systematic introduction of the emerging devices employed for artificial ***,the implementations with different perceptual capabilitiesare briefly outlined and the key metrics and potential applications are also ***,we highlight the challenges and perspectives for the future development of artificial sensory neurons.

关键词： Artificial intelligence Emerging devices Artificial sensory neurons Spiking neural networks Neuromorphic sensing

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基于细-宏观数据交互的桥梁水毁数值仿真

中国公路学报 2022年第9期35卷 257-268页

作者：熊文张嵘钊石惠铎东南大学桥梁工程系江苏南京211189

为精细化探究桥梁水毁倒塌机理,基于计算流体力学与泥沙动力学数值仿真,得到桥梁冲刷形态演变与波流力时程数据,构建桥梁水毁全过程的连续倒塌数值模型;通过开发细-宏观数据交互接口,将冲刷所致边界条件改变与波流力对桥梁结构作用效应... 详细信息

为精细化探究桥梁水毁倒塌机理,基于计算流体力学与泥沙动力学数值仿真,得到桥梁冲刷形态演变与波流力时程数据,构建桥梁水毁全过程的连续倒塌数值模型;通过开发细-宏观数据交互接口,将冲刷所致边界条件改变与波流力对桥梁结构作用效应实时传递至结构域桥梁连续倒塌数值模型,高精度连续仿真冲刷发展与波流力作用下桥梁水毁全程力学响应与结构形态演化;最后,通过河源东江大桥倒塌案例分析,验证该仿真方法与数据交互接口的正确性和有效性。结果表明:河源东江大桥连续倒塌可能由冲刷掏空基础后倾斜、拱脚薄弱节点失效以及非制动墩承受不平衡水平推力所致;所提出的仿真方法可实现冲刷仿真、波流力计算与结构倒塌分析的同步交互实施,可为从水文源头探究桥梁水毁失效机理与倒塌模式提供精准高效的分析工具,为桥梁抗水设计、评估以及未来规范修订提供理论基础与技术手段。

关键词：桥梁工程桥梁水毁数值仿真连续倒塌数据交互失效模式

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桥梁水毁研究综述

中国公路学报 2021年第11期34卷 10-28页

作者：熊文蔡春声张嵘钊东南大学桥梁工程系江苏南京211189

近年来,桥梁水毁日益频发,已成为桥梁倒塌失效的首要因素。从冲刷、洪水2类最主要的水文因素出发,充分结合历史数据,分析并对比其对桥梁水毁的影响程度与规律;并按2类水文因素所对应的不同桥梁倒塌失效模式,对桥梁水毁现有的研究工作和... 详细信息

近年来,桥梁水毁日益频发,已成为桥梁倒塌失效的首要因素。从冲刷、洪水2类最主要的水文因素出发,充分结合历史数据,分析并对比其对桥梁水毁的影响程度与规律;并按2类水文因素所对应的不同桥梁倒塌失效模式,对桥梁水毁现有的研究工作和方法进行总结归纳;最后,聚焦实桥应用,对现有桥梁水毁监测和诊治手段进行全面梳理。综述可得以下结论:(1)冲刷是导致桥梁水毁的最主要因素,所致失效桥型以桁架桥、梁桥、拱桥为主,桥梁服役时间、结构安全状态、年平均径流量均与桥梁所受冲刷程度存在较强相关性;(2)冲刷坑空间形态数值仿真与试验结果仍有一定差距,其泥沙模型缺少考虑床沙级配的影响,经验公式法尚需突破计算维度的局限性,完善考虑时间因素和黏性土的冲刷深度预测;(3)现阶段洪水波流竖向升力计算公式较少考虑脉动压力,浪荷载水槽试验尚未完全探明波浪特性与作用力间的联系,桥梁可靠度研究多见以冲刷为主的多灾害下联合效应计算,仍缺少波流、浪力作用与地震动水作用等其他灾害联合作用的深入探讨;(4)桥梁抗水目前仍局限于流场与结构域的独立研究,未见不同水文因素下基于结构域-流场多场耦合的桥梁失效模式分析;(5)雷达、声波以及潜水员水下检测是现阶段桥梁冲刷主流监测方式,桥梁冲刷动力识别适用于复杂环境下大规模、区域性桥梁检测,但仍有待进一步的应用研究,而既有桥梁水毁诊治手段在具体实施时需因地制宜,避免反而加剧水文病害。

关键词：桥梁工程桥梁水毁综述冲刷洪水

Decision making module based on stochastic magnetic tunnel junctions

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 202-209页

作者： Yifan Miao Li zhao Yajun zhang Zhe Yuan Center for Advanced Quantum Studies and Department of Physics Beijing Normal University Institute for Nanoelectric Devices and Quantum Computing Fudan University Interdisciplinary Center for Theoretical Physics and Information Sciences Fudan University

In biological neural systems, noise is ubiquitous but does not affect the correct decisions made in the complex cognitive ***-making in biological neural system is typically achieved by accumulating input information over a period of *** by recent developments in neurosciences, we design a decision-making module based on spintronic devices, utilizing superparamagnetic tunnel junctions as artificial neurons. The feasibility of this decision-making module is verified through circuit simulations. Taking a multi-layer perceptron as an example, the module significantly improves the accuracy of the perceptron in the handwritten digit recognition task. Furthermore, the spintronic decision-making module offers advantages over the conventional pooling methods, such as adaptive decision time, high performance and the absence of analog-to-digital conversion. The decision-making module is flexible to be integrated into artificial neural networks and provides a general yet effective solution to enhance performance against device noise.

关键词： neuromorphic computing spintronics magnetic tunnel junction neural networks

Subretinal fibrosis secondary to neovascular age-related macular degeneration:mechanisms and potential therapeutic targets

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Neural Regeneration Research 2025年第2期20卷 378-393页

作者： Jingxiang zhang Xia Sheng Quanju Ding Yujun Wang Jiwei zhao Jingfa zhang Department of Ophthalmology People’s Hospital of Huangdao DistrictQingdaoShandong ProvinceChina Department of Urology People’s Hospital of Huangdao DistrictQingdaoShandong ProvinceChina Department of Ophthalmology Shanghai General Hospital(Shanghai First People’s Hospital)Shanghai Jiao Tong University School of MedicineShanghaiChina National Clinical Research Center for Eye Diseases Shanghai Key Laboratory of Ocular Fundus DiseasesShanghai Engineering Center for Visual Science and PhotomedicineShanghai Engineering Center for Precise Diagnosis and Treatment of Eye DiseasesShanghaiChina

Subretinal fibrosis is the end-stage sequelae of neovascular age-related macular *** causes local damage to photoreceptors,retinal pigment epithelium,and choroidal vessels,which leads to permanent central vision loss of patients with neovascular age-related macular *** pathogenesis of subretinal fibrosis is complex,and the underlying mechanisms are largely ***,there are no effective treatment options.A thorough understanding of the pathogenesis of subretinal fibrosis and its related mechanisms is important to elucidate its complications and explore potential *** current article reviews several aspects of subretinal fibrosis,including the current understanding on the relationship between neovascular age-related macular degeneration and subretinal fibrosis;multimodal imaging techniques for subretinal fibrosis;animal models for studying subretinal fibrosis;cellular and non-cellular constituents of subretinal fibrosis;pathophysiological mechanisms involved in subretinal fibrosis,such as aging,infiltration of macrophages,different sources of mesenchymal transition to myofibroblast,and activation of complement system and immune cells;and several key molecules and signaling pathways participating in the pathogenesis of subretinal fibrosis,such as vascular endothelial growth factor,connective tissue growth factor,fibroblast growth factor 2,platelet-derived growth factor and platelet-derived growth factor receptor-β,transforming growth factor-βsignaling pathway,Wnt signaling pathway,and the axis of heat shock protein 70-Toll-like receptors 2/*** review will improve the understanding of the pathogenesis of subretinal fibrosis,allow the discovery of molecular targets,and explore potential treatments for the management of subretinal fibrosis.

关键词： choroidal neovascularization epithelial-mesenchymal transition mesenchymal transition myofibroblast neovascular age-related macular degeneration submacular fibrosis subretinal fibrosis therapeutic targets transforming growth factor-β vascular endothelial growth factor

A Generative Model-Based Network Framework for Ecological Data Reconstruction

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Computers, Materials & Continua 2025年第1期82卷 929-948页

作者： Shuqiao Liu zhao zhang Hongyan Zhou Xuebo Chen School of Electronic and Information Engineering University of Science and Technology LiaoningAnshan114051China School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan114051China

This study examines the effectiveness of artificial intelligence techniques in generating high-quality environmental data for species introductory site selection *** Strengths,Weaknesses,Opportunities,Threats(SWOT)analysis data with Variation Autoencoder(VAE)and Generative AdversarialNetwork(GAN)the network framework model(SAE-GAN),is proposed for environmental data *** model combines two popular generative models,GAN and VAE,to generate features conditional on categorical data embedding after SWOT *** model is capable of generating features that resemble real feature distributions and adding sample factors to more accurately track individual sample *** data is used to retain more semantic information to generate *** model was applied to species in Southern California,USA,citing SWOT analysis data to train the *** show that the model is capable of integrating data from more comprehensive analyses than traditional methods and generating high-quality reconstructed data from them,effectively solving the problem of insufficient data collection in development *** model is further validated by the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)classification assessment commonly used in the environmental data *** study provides a reliable and rich source of training data for species introduction site selection systems and makes a significant contribution to ecological and sustainable development.

关键词： Convolutional Neural Network(CNN) VAE GAN TOPSIS data reconstruction

HNRNPC as a pan-cancer biomarker and therapeutic target involved in tumor progression and immune regulation

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Oncology research 2025年第1期33卷 83-102页

作者： Yuezhou zhang zhao zhang Jinxin Dong Changan Liu Department of Hepatobiliary Surgery The Second Affiliated Hospital of Chongqing Medical University Chongqing 400016 China. Department of Hepatobiliary Surgery The First Affiliated Hospital of Chongqing Medical University Chongqing 400016 China.

Background:Aberrant expression of RNA-binding proteins (RBPs) has been linked to a variety of diseases, including hematological disorders, cardiovascular diseases, and multiple types of cancer. Heterogeneous nuclear ribonucleoprotein C (HNRNPC), a member belonging to the heterogeneous nuclear ribonucleoprotein (hnRNP) family, plays a pivotal role in nucleic acid metabolism. Previous studies have underscored the significance of HNRNPC in tumorigenesis; however, its specific role in malignant tumor progression remains inadequately characterized.Methods:We leveraged publicly available databases, including The Cancer Genome Atlas (TCGA), to explore the potential involvement of HNRNPC across various cancers. Additionally, we performed experimental validation studies focused on liver cancer.Results:Our analysis revealed that HNRNPC is overexpressed in a wide range of common malignancies, including liver and lung cancers, and is strongly linked to unfavorable outcomes. Furthermore, HNRNPC was observed to be closely linked to tumor immunity. Through immune checkpoint analysis and immune cell infiltration assessment, HNRNPC emerged as a potential target for modulating tumor immunotherapy. Notably, silencing of HNRNPC markedly inhibited the proliferation, metastasis, and infiltration of liver cancer cells.Conclusion:In summary, our findings highlight HNRNPC as a prognostic marker in various cancers, including liver cancer, and suggest its involvement in shaping the tumor immune microenvironment. These insights offer potential avenues for improving clinical outcomes in tumors with elevated HNRNPC expression, particularly through immunotherapeutic strategies.

关键词： Hepatocellular carcinoma Heterogeneous nuclear ribonucleoprotein C (HNRNPC) Immunotherapeutic target Pan-cancer analysis Prognostic biomarker Tumor immunity