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Influence of groundwater level changes on the seismic response of geosynthetic-reinforced soil retaining walls

Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2022年第11期23卷 850-862页

作者： fei-fan ren Qiang-qiang HUANG Xue-yu GENG Guan WANG Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Department of Geotechnical EngineeringTongji UniversityShanghai 200092China School of Engineering University of WarwickCoventry CV47ALUK School of Environment and Architecture University of Shanghai for Science and TechnologyShanghai 200093China

Geosynthetic-reinforced soil retaining walls(GSRWs)have been widely used in civil engineering ***,as the climate changes,extreme weather conditions and natural hazards are likely to become more frequent or intense,posing a huge threat to the stability of *** this paper,the effect of groundwater level fluctuations on the seismic response of GSRWs is ***,a dynamic numerical model was established and validated through centrifugal shaking-table test *** the established numerical model,the seismic response of GSRWs under four different groundwater level conditions was then investigated,i.e.,an earthquake occurring at a low groundwater level(Case LW),an earthquake occurring when the groundwater level rises(Case RW),an earthquake occurring at a high groundwater level(Case HW),and an earthquake occurring when the groundwater level drops(Case DW).The results show that the GSRW in Case DW has the worst seismic stability because of the drag forces generated by the water flowing to the outside of the *** Case RW,deformation of the GSRW under earthquake forces was prevented by the drag forces generated by the water flowing to the inside of the GSRW and the water pressure acting on the outside of the facing,giving the GSRW the best seismic stability in this *** with Case LW,the seismic stability of a GSRW in Case HW is worse,because the high groundwater level will generate excess pore-water pressure during an *** this basis,we provide engineering design suggestions to be considered by practitioners.

关键词： Geosynthetic-reinforced soil retaining walls(GSRWs) Groundwater level Earthquake Stability analysis

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Industrial solid wastes to environmental protection materials for removal of gaseous pollutants:A review

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Green Energy & Environment 2025年第1期10卷 34-83页

作者： Jiacheng Bao Xin Sun Ping Ning Kai Li Jie Yang fei Wang Lei Shi Maohong fan Faculty of Environmental Science and Engineering Kunming University of Science and TechnologyKunming650500China College of Engineering and Physical Sciences and School of Energy ResourcesUniversity of WyomingLaramieWY82071USA College of Engineering Georgia Institute of TechnologyAtlantaGA30332USA

The application of industrial solid wastes as environmentally functional materials for air pollutants control has gained much attention in recent years due to its potential to reduce air pollution in a cost-effective *** this review,we investigate the development of industrialwaste-based functional materials for various gas pollutant removal and consider the relevant reaction mechanism according to different types of industrial solid *** see a recent effort towards achieving high-performance environmental functional materials via chemical or physical modification,in which the active components,pore size,and phase structure can be *** review will discuss the potential of using industrial solid wastes,these modified materials,or synthesized materials from raw waste precursors for the removal of air pollutants,including SO_(2),NO_(x),Hg^(0),H_(2)S,VOCs,and CO_(2).The challenges still need to be addressed to realize this potential and the prospects for future research *** suggestions for future directions include determining the optimal composition of these materials,calculating the real reaction rate and turnover frequency,developing effective treatment methods,and establishing chemical component databases of raw industrial solid waste for catalysts/adsorbent preparation.

关键词： Industrial solid waste Reaction mechanism Modification method Air pollutants

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Optimizing the key parameter to accelerate the recovery of AMOC under a rapid increase of greenhouse gas forcing

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 39-45页

作者： Haolan ren fei Zheng Tingwei Cao Qiang Wang International Center for Climate and Environment Science(ICCES) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina College of Oceanography Hohai UniversityNanjingChina CAS Key Laboratory of Ocean Circulation and Waves Institute of OceanologyChinese Academy of Sciences and Pilot National Laboratory for Marine Science and Technology(Qingdao)QingdaoChina

Atlantic Meridional Overturning Circulation(AMOC)plays a central role in long-term climate variations through its heat and freshwater transports,which can collapse under a rapid increase of greenhouse gas forcing in climate *** studies have suggested that the deviation of model parameters is one of the major factors in inducing inaccurate AMOC *** this work,with a low-resolution earth system model,the authors try to explore whether a reasonable adjustment of the key model parameter can help to re-establish the AMOC after its *** a new optimization strategy,the extra freshwater flux(FWF)parameter is determined to be the dominant one affecting the AMOC’s *** traditional ensemble optimal interpolation(EnOI)data assimilation and new machine learning methods are adopted to optimize the FWF parameter in an abrupt 4×CO_(2) forcing experiment to improve the adaptability of model parameters and accelerate the recovery of *** results show that,under an abrupt 4×CO_(2) forcing in millennial simulations,the AMOC will first collapse and then re-establish by the default FWF parameter ***,during the parameter adjustment process,the saltier and colder sea water over the North Atlantic region are the dominant factors in usefully improving the adaptability of the FWF parameter and accelerating the recovery of AMOC,according to their physical relationship with FWF on the interdecadal timescale.

关键词： Recovery of AMOC 4×CO_(2) forcing Key parameter Parameter estimation Data assimilation Machine learning

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Estimation of Fine Dust Particles Distribution in Machining Workshop Based on COwZ Model

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Chinese Journal of Mechanical Engineering 2011年第3期24卷 346-354页

作者： ren fan LIU fei State Key Laboratory of Mechanical Transmission Chongqing University Chongqing 400030 China

Fine dust particles （diameter is less than 2.5 μm） generated during machining processes,especially dry cutting,are harmful to operators,because they remain suspended in the air for long time and have marked concentration gradients in *** studies about cutting dust source states and indoor air quality prediction have been ***,few researches focus on the distribution state of the cutting dust,dynamic status of fine dust particles,and environment estimating of the machining *** machining workshops have diversified architectural structures,complex working conditions,so the dust emission is sensitive *** to these features,after analysis of the static and dynamic influence factors,this paper proposes a method and establishes a model to estimate the fine dust particles distribution based on COwZ （COMIS （conjunction of multizone infiltration specialists） with sub-zones） model when only dry cutting is processed just needing various working *** two key technologies are discussed：the description of the machine tools using sub-zones of COwZ model considering the local obstacle effects of machine tools themselves;description and implementation of dynamic process of cutting dust emission with a new concept of equivalent source *** last,multi-point experiments in a hybrid ventilation machining workshop prove the method is *** agreement was observed between the estimation results and the experimental measurements for the investigated *** proposed method can supply reference data for green manufacturing.

关键词： COwZ model dry cutting fine dust particles dust emission green manufacturing

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控制方向未知的受限多智能体系统的预设时间模糊控制

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工程科学学报 2025年第1期47卷 121-129页

作者：李菲周超范利蓉王芳燕山大学理学院秦皇岛066004 河北农业大学海洋学院秦皇岛066003

综合考虑受控制方向未知、输入受限和状态时延影响的有领导者多智能体系统的编队控制问题,设计基于模糊逻辑系统的预设时间一致性控制策略.为了保证编队输出误差在预设时间内满足预定的约束范围要求,引入预设时间性能函数,构造Lyapunov-... 详细信息

综合考虑受控制方向未知、输入受限和状态时延影响的有领导者多智能体系统的编队控制问题,设计基于模糊逻辑系统的预设时间一致性控制策略.为了保证编队输出误差在预设时间内满足预定的约束范围要求,引入预设时间性能函数,构造Lyapunov-Krasovskii(L-K)泛函解决状态时延问题,将外界干扰和L-K泛函的导数中的部分项定义为未知非线性函数,并利用模糊逻辑系统对其进行估计,利用Nussbaum函数和均值定理分别处理控制方向未知和输入受限问题,基于以上设计,提出预设时间模糊控制策略,并通过Lyapunov稳定性理论,分析闭环系统的有界稳定性,数值对比仿真和两级化学反应器应用仿真说明控制方法的有效性.

关键词：多智能体系统状态时延输出误差约束输入受限控制方向未知

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FHL2 deficiency aggravates Candida albicans infection through decreased myelopoiesis

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Science China Life Sciences 2025年

作者： Rongmei Gao Kanchao Chen Yimin Wang Rongxia Guo Xiaoyu Zhang Peng Wu Weili Wang Qingxiang Huang Xuemei Xie Shangda Yang Yanling Lü Qian ren fei Liu Song Chen Fengxia Ma Tao Cheng Hui Cheng State Key Laboratory of Experimental Hematology National Clinical Research Center for Blood Diseases Haihe Laboratory of Cell Ecosystem Institute of Hematology & Blood Diseases Hospital Chinese Academy of Medical Sciences & Peking Union Medical College CAMS Center for Stem Cell Medicine PUMC Department of Stem Cell and Regenerative Medicine

Hematopoiesis is a finely tuned process that generates all blood cell types through self-renewal and differentiation, which is crucial for maintaining homeostasis. Acute infections can prompt a hematopoietic response known as emergency myelopoiesis. In this study, using a Candida albicans (C. albicans) infection model, we demonstrated for the first time that disruption of Fhl2 led to increased fungal burden,heightened inflammatory response and reduced survival rates. Impaired myeloid hematopoiesis and immune cell production were evident, as proved by the decreased numbers of hematopoietic stem and progenitor cells (HSPCs) and granulocytes in the bone marrow of Fhl2-deficient mice. In conclusion, FHL2 regulated emergency myelopoiesis in response to C. albicans, affecting the host’s defense against pathogens.

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Multi-Agent Control:A Graph-Theoretic Perspective

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Journal of Systems Science & Complexity 2021年第5期34卷 1973-2002页

作者： CHEN fei ren Wei State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110004China School of Control Engineering Northeastern University at QinhuangdaoQinhuangdao 066004China. Department of Electrical and Computer Engineering University of CaliforniaRiversideCA 92521USA

Progress in development of multi-agent control is *** approaches for multiagent control,estimation,and optimization are discussed in a systematic way with particular emphasis on the graph-theoretic *** is paid to the design of multi-agent systems via Laplacian dynamics,as well as the role of the graph Laplacian spectrum,the challenges of unbalanced digraphs,and consensus-based estimation of graph *** emergent issues,e.g.,distributed optimization,distributed average tracking,and distributed network games,are also reported,which have witnessed extensive development *** are over 200 references listed,mostly to recent contributions.

关键词： Consensus cooperative control distributed average tracking distributed optimization multi-agent system

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Metal Spray Forming Process Examined Using Mathematical Model

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Journal of Iron and Steel Research International 2008年第2期15卷 46-50页

作者： ZHANG Yin HE You-duo fan Jun-fei ren San-bin School of Rare Earth Inner Mongolia University of Science and Technology Baotou 014010 Nei Monggol China Baoshan Iron and Steel Co Ltd Research Institute Shanghai 201900 China

The metal spray forming process was examined using the mathematical model simulation by Baosteel＇s test and developed *** mathematical model comprised of the probability and statistical analysis of the droplet mass b... 详细信息

关键词： spray forming droplet mathematical model billet

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基于伪标签算法的地震事件分类识别方法研究

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地震工程学报 2025年第1期47卷 160-167,177页

作者：范晓易王夫运陈飞陈传华江苏省地震局南京地震监测中心站江苏南京210000 中国地震局地球物理勘探中心河南郑州450000 山东省地震局泰安地震监测中心站山东泰安271000

将伪标签算法引入地震类型识别领域,并设计伪标签神经网络法程序,对山东地区2019—2021年M L1.5以上的天然地震、爆破地震、塌陷地震三类事件开展试验。使用优选的有标签样本集预测无标签样本,将其标记为伪标签样本后加入联合训练,并对... 详细信息

将伪标签算法引入地震类型识别领域,并设计伪标签神经网络法程序,对山东地区2019—2021年M L1.5以上的天然地震、爆破地震、塌陷地震三类事件开展试验。使用优选的有标签样本集预测无标签样本,将其标记为伪标签样本后加入联合训练,并对比传统BP神经网络法和支持向量机法,以初步验证伪标签算法在地震类型识别领域的可行性和在小样本条件下的适用性。试验结果表明:影响伪标签神经网络法分类效果的主要因素有已知样本数量和伪标签样本占比。当已知样本数量介于60~120个、伪标签样本占比20%~30%时,其识别效果最佳。在小样本条件下,伪标签神经网络法的识别率相较于传统BP神经网络法提高了2%~8%,与支持向量机法的识别率差值集中在±4%以内。因此,采用伪标签算法弥补部分地区样本库匮乏的不足,实现小样本地震类型识别,具备一定的应用价值。

关键词：伪标签算法地震类型识别神经网络法小样本

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Adaptive Backstepping Slide Mode Control of Pneumatic Position Servo System

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Chinese Journal of Mechanical Engineering 2016年第5期29卷 1003-1009页

作者： ren Haipeng fan Juntao Shaanxi Key Laboratory Complex System Control and Intelligent Information Processing Xi'an University of Technology

With the price decreasing of the pneumatic proportional valve and the high performance micro controller, the simple structure and high tracking performance pneumatic servo system demonstrates more application potential in many fields. However, most existing control methods with high tracking performance need to know the model information and to use pressure sensor. This limits the application of the pneumatic servo system. An adaptive backstepping slide mode control method is proposed for pneumatic position servo system. The proposed method designs adaptive slide mode controller using backstepping design technique. The controller parameter adaptive law is derived from Lyapunov analysis to guarantee the stability of the system. A theorem is testified to show that the state of closed-loop system is uniformly bounded, and the closed-loop system is stable. The advantages of the proposed method include that system dynamic model parameters are not required for the controller design, uncertain parameters bounds are not need, and the bulk and expensive pressure sensor is not needed as well. Experimental performance, as compared with some existing methods. results show that the designed controller can achieve better tracking

关键词： pneumatic position servo system adaptive backstepping design slide mode control uncertain parameter tracking accuracy

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