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Moment Redistribution Effect of the Continuous Glass Fiber Reinforced Polymer-Concrete Composite Slabs Based on Static Loading Experiment

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Structural Durability & Health Monitoring 2025年第1期19卷 105-123页

作者： Zhao-Jun zhang wen-Wei Wang Jing-Shui Zhen Bo-Cheng li De-Cheng Cai Yang-Yang Du Hui Huang Offshore Oil Engineering Co.Ltd. Tianjin300461China Department of Bridge Engineering School of TransportationSoutheast UniversityNanjing211189China

This study aimed to investigate the moment redistribution in continuous glass fiber reinforced polymer(GFRP)-concrete composite slabs caused by concrete cracking and steel bar yielding in the negative bending moment *** experimental bending moment redistribution test was conducted on continuous GFRP-concrete composite slabs,and a calculation method based on the conjugate beam method was *** composite slabs were formed by combining GFRP profiles with a concrete layer and supported on steel beams to create two-span continuous composite slab *** methods,epoxy resin bonding,and stud connection,were used to connect the composite slabs with the steel *** experimental findings showed that the specimen connected with epoxy resin exhibited two moments redistribution phenomena during the loading process:concrete cracking and steel bar yielding at the internal *** contrast,the composite slab connected with steel beams by studs exhibited only one-moment redistribution phenomenon throughout the loading *** the concrete at the internal support cracked,the bending moment decreased in the internal support section and increased in the midspan *** the steel bars yielded,the bending moment further decreased in the internal support section and increased in the mid-span *** GFRP profiles do not experience cracking,there was no significant decrease in the bending moment of the mid-span *** test specimens experienced compressive failure of concrete at the mid-span *** results showed good agreement between the calculated and experimental values of bending moments in the mid-span section and internal support *** proposed model can effectively predict the moment redistribution behavior of continuous GFRP-concrete composite slabs.

关键词： Moment redistribution GFRP-concrete composite slabs bending moment experimental study analysis model

DDoS Attack Autonomous Detection Model Based on Multi-Strategy Integrate Zebra Optimization Algorithm

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Computers, Materials & Continua 2025年第1期82卷 645-674页

作者： Chunhui li Xiaoying Wang Qingjie zhang Jiaye liang Aijing zhang School of Information Engineering Institute of Disaster PreventionLangfang065201China Langfang Key Laboratory of Network Emergency Protection and Network Security Langfang065201China

Previous studies have shown that deep learning is very effective in detecting known ***,when facing unknown attacks,models such as Deep Neural Networks(DNN)combined with Long Short-Term Memory(LSTM),Convolutional Neural Networks(CNN)combined with LSTM,and so on are built by simple stacking,which has the problems of feature loss,low efficiency,and low ***,this paper proposes an autonomous detectionmodel for Distributed Denial of Service attacks,Multi-Scale Convolutional Neural Network-Bidirectional Gated Recurrent Units-Single Headed Attention(MSCNN-BiGRU-SHA),which is based on a Multistrategy Integrated Zebra Optimization Algorithm(MI-ZOA).The model undergoes training and testing with the CICDDoS2019 dataset,and its performance is evaluated on a new GINKS2023 *** hyperparameters for Conv_filter and GRU_unit are optimized using the Multi-strategy Integrated Zebra Optimization Algorithm(MIZOA).The experimental results show that the test accuracy of the MSCNN-BiGRU-SHA model based on the MIZOA proposed in this paper is as high as 0.9971 in the CICDDoS 2019 *** evaluation accuracy of the new dataset GINKS2023 created in this paper is *** to the MSCNN-BiGRU-SHA model based on the Zebra Optimization Algorithm(ZOA),the detection accuracy on the GINKS2023 dataset has improved by 5.81%,precisionhas increasedby 1.35%,the recallhas improvedby 9%,and theF1scorehas increasedby 5.55%.Compared to the MSCNN-BiGRU-SHA models developed using Grid Search,Random Search,and Bayesian Optimization,the MSCNN-BiGRU-SHA model optimized with the MI-ZOA exhibits better performance in terms of accuracy,precision,recall,and F1 score.

关键词： Distributed denial of service attack intrusion detection deep learning zebra optimization algorithm multi-strategy integrated zebra optimization algorithm

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铝合金热挤压过程中界面摩擦的研究进展

中国有色金属学报 2017年第7期27卷 1311-1322页

作者：刘志文李落星张明李世康湖南大学汽车车身先进设计制造国家重点实验室长沙410082 湖南大学机械与运载工程学院长沙410082

在铝合金热挤压过程中,工件与模具界面的摩擦对模具磨损、挤压载荷、产品表面质量等具有重要的影响。摩擦也是挤压数值仿真中一个重要的边界条件,影响因素多,难以定量确定。为得到精确的仿真结果,需采用合理的摩擦模型。揭示铝合金热挤... 详细信息

在铝合金热挤压过程中,工件与模具界面的摩擦对模具磨损、挤压载荷、产品表面质量等具有重要的影响。摩擦也是挤压数值仿真中一个重要的边界条件,影响因素多,难以定量确定。为得到精确的仿真结果,需采用合理的摩擦模型。揭示铝合金热挤压过程中不同接触界面的摩擦学行为。分析工作带位置的摩擦磨损对型材表面质量的影响机理。综述模具材料的表面强化技术,并对各工艺作出评价。归纳总结铝合金热挤压过程中采用的摩擦理论模型及等效表征方法。最后指出热挤压过程中界面摩擦研究存在的主要问题。

关键词：铝合金热挤压界面摩擦摩擦学行为摩擦模型表征方法

Deciphering the role of mtH2O2 in hepatic ischemia-reperfusion injury mechanisms with low-background super-resolution fluorogenic probe

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Science China Chemistry 2025年第1期68卷 297-307页

作者： Bin Fang limin Wang Haoqin li Jiaxin zhang Yang Ding Pan Pan li Bo Peng Hua Bai lin li Frontiers Science Center for Flexible Electronics Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials &Engineering Northwestern Polytechnical University Institute of Flexible Electronics (IFE Future Technologies) Xiamen University

Hepatic ischemia-reperfusion injury（HIRI） is characterized by mitochondrial dysfunction and oxidative stress. Monitoring mitochondrial hydrogen peroxide（mtH2O2） levels in real-time through super-resolution imaging is crucial for elucidating its distribution in live cells and its mechanism of action during HIRI. However, low-background fluorogenic probes have been overlooked in the context of super-resolution imaging. In this study, we developed a low-background fluorogenic probe（MitoWG） with the potential for super-resolution morphology-correlated mitochondrial identification to track the fluctuates of mtH2O2in HIRI. Activation of the desirable fluorescence properties of the probe by mtH2O2was confirmed using structural illumination microscopy（SIM）, enabling high-quality mitochondrial imaging with exceptional specificity and *** in mtH2O2levels were successfully observed in both cellular and rat models of HIRI. Furthermore, we associated the decline in mitochondrial redox homeostasis with accelerated mtH2O2production during HIRI, which triggered mitophagy deficiency and led to cell death. In conclusion, Mito-WG possesses excellent photophysical and low-background properties for SIM imaging, making it a promising tool for mtH2O2tracking in HIRI research and clinical diagnosis.

关键词： hepatic ischemia-reperfusion injury low-background mtH2O2-activatable super-resolution imaging fluorogenic probe

High-throughput screening of CO_(2) cycloaddition MOF catalyst with an explainable machine learning model

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Green Energy & Environment 2025年第1期10卷 132-138页

作者： Xuefeng Bai Yi li Yabo Xie Qiancheng Chen Xin zhang Jian-Rong li Beijing Key Laboratory for Green Catalysis and Separation and Department of Chemical Engineering College of Materials Science&EngineeringBeijing University of TechnologyBeijing100124China

The high porosity and tunable chemical functionality of metal-organic frameworks(MOFs)make it a promising catalyst design ***-throughput screening of catalytic performance is feasible since the large MOF structure database is *** this study,we report a machine learning model for high-throughput screening of MOF catalysts for the CO_(2) cycloaddition *** descriptors for model training were judiciously chosen according to the reaction mechanism,which leads to high accuracy up to 97%for the 75%quantile of the training set as the classification *** feature contribution was further evaluated with SHAP and PDP analysis to provide a certain physical understanding.12,415 hypothetical MOF structures and 100 reported MOFs were evaluated under 100℃ and 1 bar within one day using the model,and 239 potentially efficient catalysts were *** them,MOF-76(Y)achieved the top performance experimentally among reported MOFs,in good agreement with the prediction.

关键词： Metal-organic frameworks High-throughput screening Machine learning Explainable model CO_(2)cycloaddition

基于Agent的集卡调度建模与仿真研究(英文)

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系统仿真学报 2008年第19期20卷 5158-5161,5198页

作者：李斌李文锋张煜武汉理工大学物流工程学院湖北武汉430063

日益大型化的集装箱船舶对集装箱码头的生产调度提出了较以往更加严格的要求。集装箱码头中的集卡调度是否合理对于提高整个码头的装卸效率具有重要意义。利用agent和哈佛体系结构对集卡动态调度进行建模,以AnyLogic仿真平台为实现工具... 详细信息

日益大型化的集装箱船舶对集装箱码头的生产调度提出了较以往更加严格的要求。集装箱码头中的集卡调度是否合理对于提高整个码头的装卸效率具有重要意义。利用agent和哈佛体系结构对集卡动态调度进行建模,以AnyLogic仿真平台为实现工具,基于数据库中实际的生产数据,融合黑板系统和消息通讯形成多agent之间的协同机制,引入操作系统中的资源分配算法调度集卡。最后仿真了具体的港口生产实例,其结果优于以往文献的仿真结果,充分验证了上述建模仿真思想的可行性和可信性。

关键词：基于Agent的建模与仿真集装箱码头哈佛体系结构集卡调度信号量

基于滚动时域强化学习的智能车辆侧向控制算法

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自动化学报 2023年第12期49卷 2481-2492页

作者：张兴龙陆阳李文璋徐昕国防科技大学智能科学学院长沙410073

针对智能车辆的高精度侧向控制问题,提出一种基于滚动时域强化学习(Receding horizon reinforcement learning,RHRL)的侧向控制方法.车辆的侧向控制量由前馈和反馈两部分构成,前馈控制量由参考路径的曲率以及动力学模型直接计算得出;而... 详细信息

针对智能车辆的高精度侧向控制问题,提出一种基于滚动时域强化学习(Receding horizon reinforcement learning,RHRL)的侧向控制方法.车辆的侧向控制量由前馈和反馈两部分构成,前馈控制量由参考路径的曲率以及动力学模型直接计算得出;而反馈控制量通过采用滚动时域强化学习算法求解最优跟踪控制问题得到.提出的方法结合滚动时域优化机制,将无限时域最优控制问题转化为若干有限时域控制问题进行求解.与已有的有限时域执行器-评价器学习不同,在每个预测时域采用时间独立型执行器-评价器网络结构学习最优值函数和控制策略.与模型预测控制(Model predictive control,MPC)方法求解开环控制序列不同,RHRL控制器的输出是一个显式状态反馈控制律,兼具直接离线部署和在线学习部署的能力.此外,从理论上证明了RHRL算法在每个预测时域的收敛性,并分析了闭环系统的稳定性.在仿真环境中完成了结构化道路下的车辆侧向控制测试.仿真结果表明,提出的RHRL方法在控制性能方面优于现有先进算法,最后,以红旗E-HS3电动汽车作为实车平台,在封闭结构化城市测试道路和乡村起伏砂石道路下进行了侧向控制实验.实验结果显示,RHRL在结构化城市道路中的侧向控制性能优于预瞄控制,在乡村道路中具有较强的路面适应能力和较好的控制性能.

关键词：滚动时域强化学习智能汽车侧向控制

Isobaric enzymatic assays reveal depth-dependent variation in microbial ectoenzyme activities in the deepest ocean on Earth

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Science China Earth Sciences 2025年第1期68卷 185-194页

作者： Junwei CAO Jiahua WANG Hongge zhang Junhao DENG Binbin PAN Jiawang CHEN li zhang Jiasong FANG College of Oceanography and Ecological Science Shanghai Ocean University Ocean College Zhejiang University Laboratory for Marine Biology and Biotechnology Qingdao National Laboratory for Marine Science and Technology

Microbial ectoenzymes play essential roles in the transformation and mineralization of organic matter in the ***, conventional methods for measuring microbial ectoenzyme activities(MEAs) in the deep ocean under atmospheric conditions can misrepresent the metabolic activities of indigenous microbial communities. To overcome this limitation, we measured the activities of three microbial ectoenzymes(aminopeptidase, α-glucosidase, and β-glucosidase) under both atmospheric and in situ pressure conditions in seawater collected using pressure-retaining and non-pressure-retaining samplers in the Challenger Deep, Mariana Trench. In the case of aminopeptidase and α-glucosidase, the highest isobaric MEAs were observed in the surface layer(50 m), followed by those at abyssopelagic depths(4,000–6,000 m) for aminopeptidase, hadal realm(10,903 m)for α-glucosidase, while β-glucosidase activity exhibited the highest value at 10,903 m. Furthermore, the isobaric MEAs in hadal waters were commonly found to be higher than the decompressed counterparts, highlighting the importance of pressure-retaining sampling and isobaric enzymatic assays. The half-saturation constant(Km) showed a general decreasing trend with depth,suggesting that the deep ocean microbes might have adapted to the high-pressure and oligotrophic environment by increasing their ectoenzyme's affinity to substrate. Furthermore, particle-free MEAs contribute more to the total MEAs in the deep ocean than particle-associated MEAs, suggesting the significance of cell-associated and dissolved ectoenzymes in ocean *** study provides a foundation for future investigations of MEAs in the ocean and has important implications for understanding the dynamics of microbially mediated biogeochemical cycling in marine ecosystems.

关键词： Pressure-retaining sampling Microbial ectoenzyme activity Deep-sea microbes High pressure Mariana Trench

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论大学在实现终身教育体系中的两大主体障碍

成人教育 2008年第1期28卷 89-90页

作者：李文章汕头大学高教所广东汕头515063

大学作为高等教育的主要承担者,在终身教育体系中有着特殊的重要作用。然而,大学在实现终身教育体系中并不是一拍即合的,它面临着大学自身两大主体的限制:一是大学教师学术态度偏见障碍;二是大学生内在惰性障碍。

关键词：大学终身教育障碍