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建筑机械 2024年第5期 186-188页

作者：杨小武杨夏锋中交西安筑路机械有限公司陕西西安710200

文章介绍了同步纤维磨耗封层车沥青喷洒系统的控制流程,对沥青喷洒模式进行了研究改进,并进行了测试和工业性试验,研发出智能脉冲喷洒控制系统,并成功应用于公司NS车型,使用效果良好,对推动道路养护技术的发展有一定的作用。

关键词：同步纤维磨耗封层车脉冲喷洒数字PID

Effect of tin addition on microstructure and electrochemical properties of rolled AZ61-Sn magnesium anodic materials

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Rare Metals 2011年第6期30卷 639-643页

作者： WANG Ping LI Jianping GUOYongchun yang Zhong xia feng WANG Jianli School of Materials and Chemical Engineering Xi＇ an Technological University Xi＇ an 710032 China

Microstructure characterization, corrosion behavior, and electrochemical properties of magnesium anode materials containing 1-3 wt.% Sn in AZ61 alloy were studied by optical microscopy, X-ray diffraction （XRD）, scanning electron microscopy （SEM）, and energy-dispersive spec- troscopy （EDS）, constant current method, potential polarization, and drainage. The results showed that amount of Mg2Sn phase increased, and recrystallization ratio of Sn-contained Mg alloys during rolling process was improved with increasing of Sn content. This resulted in uniform and refined gains. The results also demonstrated that discharge potential was improved and hydrogen release rate was reduced with the addition of Sn. As the current density increased, the release hydrogen rate was rising, owing to negative variance effect of magnesium alloys. The current efficiency gets to 87% at 20 mA/cm2. The main components of the corrosion products are easy-to-peel-off MgO and Al2O3 that can lead to more negative and stable work potential and accelerate battery reaction continuously.

关键词： magnesium alloys anode material rolling seawater battery electrochemistry property

稻纵卷叶螟对氯虫苯甲酰胺的抗性监测及其抗氯虫苯甲酰胺种群对其他双酰胺类杀虫剂的交互抗性

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昆虫学报 2024年第4期67卷 498-506页

作者：王立董蓓蓓刘思彤陈韵箫杨凤霞张帅高聪芬南京农业大学植物保护学院绿色农药创制与应用技术国家地方联合工程研究中心南京210095 云南农垦产业研究院有限公司昆明650106 全国农业技术推广服务中心北京100026

【目的】本研究旨在明确稻纵卷叶螟Cnaphalocrocis medinalis对氯虫苯甲酰胺的抗性水平、抗性稳定性及其抗氯虫苯甲酰胺种群对其他双酰胺类杀虫剂是否存在交互抗性。【方法】采用稻苗浸渍法测定我国9省(自治区)稻纵卷叶螟32个田间种群... 详细信息

【目的】本研究旨在明确稻纵卷叶螟Cnaphalocrocis medinalis对氯虫苯甲酰胺的抗性水平、抗性稳定性及其抗氯虫苯甲酰胺种群对其他双酰胺类杀虫剂是否存在交互抗性。【方法】采用稻苗浸渍法测定我国9省(自治区)稻纵卷叶螟32个田间种群对氯虫苯甲酰胺和四唑虫酰胺的抗性,并测定了两个氯虫苯甲酰胺抗性种群对其他双酰胺类杀虫剂的交互抗性,以及湖南攸县、安徽潜山、安徽庐江和广西兴安田间种群在室内不接触药剂饲养后对氯虫苯甲酰胺的抗性稳定性。【结果】2019-2022年间,稻纵卷叶螟田间种群对氯虫苯甲酰胺的抗性逐年上升,2022年首次监测到庐江、兴安、武穴、丹阳和潜山种群对氯虫苯甲酰胺达到高水平抗性(102.3~135.1倍),其他种群亦达到中等水平抗性(10.3~97.1倍);2019-2021年监测的所有田间种群对四唑虫酰胺均表现为敏感,2022年所监测种群对四唑虫酰胺达到中等水平抗性(41.9~98.0倍)。交互抗性试验结果表明,对氯虫苯甲酰胺抗性约100倍的浙江嘉兴和安徽潜山种群对氟氯虫双酰胺、四唑虫酰胺、溴氰虫酰胺、环丙虫酰胺和四氯虫酰胺也表现出31.6~100.5倍中等至高水平抗性。稻纵卷叶螟田间种群在室内不接触药剂连续饲养2~4代后,对氯虫苯甲酰胺的抗性表现出快速下降的现象。【结论】稻纵卷叶螟田间种群对氯虫苯甲酰胺和四唑虫酰胺已产生中等至高水平抗性,且对氯虫苯甲酰胺产生抗性的稻纵卷叶螟田间种群对其他5种双酰胺类药剂也存在中等至高水平的交互抗性;鉴于当前稻纵卷叶螟田间种群对氯虫苯甲酰胺的抗性尚不稳定,建议可通过限制或暂停使用该类药剂,以延缓其抗性发展和延长使用寿命。

关键词：稻纵卷叶螟抗药性监测氯虫苯甲酰胺交互抗性抗性稳定性

Evolution of mechanical parameters of Shuangjiangkou granite under different loading cycles and stress paths

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第4期16卷 1113-1126页

作者： Liangjie Gu xia-Ting feng Rui Kong Chengxiang yang Yuelin xia Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines Northeastern UniversityShenyang110819China State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan430071China

Surrounding rocks at different locations are generally subjected to different stress paths during the process of deep hard rock *** this study,to reveal the mechanical parameters of deep surrounding rock under different stress paths,a new cyclic loading and unloading test method for controlled true triaxial loading and unloading and principal stress direction interchange was proposed,and the evolution of mechanical parameters of Shuangjiangkou granite under different stress paths was studied,including the deformation modulus,elastic deformation increment ratios,fracture degree,cohesion and internal friction ***,stress path coefficient was defined to characterize different stress paths,and the functional relationships among the stress path coefficient,rock fracture degree difference coefficient,cohesion and internal friction angle were *** results show that during the true triaxial cyclic loading and unloading process,the deformation modulus and cohesion gradually decrease,while the internal friction angle gradually increases with increasing equivalent crack *** stress path coefficient is exponentially related to the rock fracture degree difference *** the stress path coefficient increases,the degrees of cohesion weakening and internal friction angle strengthening decrease *** cyclic loading and unloading under true triaxial principal stress direction interchange,the direction of crack development changes,and the deformation modulus increases,while the cohesion and internal friction angle decrease slightly,indicating that the principal stress direction interchange has a strengthening effect on the surrounding ***,the influences of the principal stress interchange direction on the stabilities of deep engineering excavation projects are discussed.

关键词： Triaxial cyclic loading and unloading test Stress path Deformation modulus and elastic deformation increment ratios Fracture degree Cohesion and internal friction angle

Data-driven Anomaly Detection Method Based on Similarities of Multiple Wind Turbines

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 803-818页

作者： xiangjun Zeng Ming yang Chen feng Mingqiang Wang Lingqin xia the College of Electrical Engineering&New Energy China Three Gorges UniversityYichang 443002China the Key Laboratory of Power System Intelligent Dispatch and Control Shandong UniversityJinan 250061China

The operating conditions of wind turbines(WTs)in the same wind farm(WF)may share similarities due to their shared manufacturing process,control strategy,and operating ***,the similarities of WTs are seldom considered in WT anomaly detection,resulting in the disregard of useful *** paper proposes a method to improve the reliability and accuracy of WT anomaly detection using the supervisory control and data acquisition(SCADA)data of multiple WTs in the same ***,a similarity assessment method based on a comparison of different observation time series is proposed,which objectively quantifies the similarities of WT operating ***,the SCADA data of the target WT and selected WTs that are similar are used to establish several estimation models through a long short-term memory(LSTM)*** models that exhibit good estimation performance are used to construct a combined estimation model that estimates the variations in the monitored variables of the target ***,an anomaly detection method that jointly compares the effective value and information entropy of the residuals is proposed to identify *** effectiveness and accuracy of the proposed method are verified using the data of two actual WFs.

关键词： Anomaly detection information entropy long short-term memory similarity assessment wind farm wind turbines

Collision Statistics of Driven Polydisperse Granular Gases

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Communications in Theoretical Physics 2008年第5期49卷 1333-1338页

作者： CHEN Zhi-Yuan ZHANG Duan-Ming LI Zhong-Ming yang feng-xia GUO Xin-Ping Department of Physics Huazhong University of Science and Technology Wuhan 430074 China Department of Physics Xianning College Xianning 437100 China

We present a dynamical model of two-dimensional polydisperse granular gases with fractal size distribution, in which the disks are subject to inelastic mutual collisions and driven by standard white noise. The inhomogeneity of the disk size distribution can be measured by a fractal dimension df. By Monte Carlo simulations, we have mainly investigated the effect of the inhomogeneity on the statistical properties of the system in the same inelasticity case. Some novel results are found that the average energy of the system decays exponentially with a tendency to achieve a stable asymptotic value, and the system finally reaches a nonequilibrium steady state after a long evolution time. Furthermore, the inhomogeneity has great influence on the steady-state statistical properties. With the increase of the fractal dimension df, the distributions of path lengths and free times between collisions deviate more obviously from expected theoretical forms for elastic spheres and have an overpopulation of short distances and time bins. The collision rate increases with df, but it is independent of time. Meanwhile, the velocity distribution deviates more strongly from the Gaussian one, but does not demonstrate any apparent universal behavior.

关键词： fractal dimension df of the disk size distribution restitution coefficient e standard white noise nonequilibrium steady state statistical properties

Prediction of Lubricant Physicochemical Properties Based on Gaussian Copula Data Expansion

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China Petroleum Processing & Petrochemical Technology 2024年第1期26卷 161-174页

作者： feng Xin yang Rui Xie Peiyuan xia Yanqiu School of Energy Power and Mechanical Engineering North China Electric Power UniversityBeijing 102206China

The composition of base oils affects the performance of lubricants made from *** paper proposes a hybrid model based on gradient-boosted decision tree(GBDT)to analyze the effect of different ratios of KN4010,PAO40,and PriEco3000 component in a composite base oil system on the performance of *** study was conducted under small laboratory sample conditions,and a data expansion method using the Gaussian Copula function was proposed to improve the prediction ability of the hybrid *** study also compared four optimization algorithms,sticky mushroom algorithm(SMA),genetic algorithm(GA),whale optimization algorithm(WOA),and seagull optimization algorithm(SOA),to predict the kinematic viscosity at 40℃,kinematic viscosity at 100℃,viscosity index,and oxidation induction time performance of the *** results showed that the Gaussian Copula function data expansion method improved the prediction ability of the hybrid model in the case of small *** SOA-GBDT hybrid model had the fastest convergence speed for the samples and the best prediction effect,with determination coefficients(R^(2))for the four indicators of lubricants reaching 0.98,0.99,0.96 and 0.96,***,this model can significantly reduce the model’s prediction error and has good prediction ability.

关键词： base oil data augmentation machine learning performance prediction seagull algorithm

Development of high-power microwave mechanical integrated continuous mining device

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第9期16卷 3365-3377页

作者： xia-Ting feng feng Lin Jiuyu Zhang Chengxiang yang Yuntan Ao Tianyang Tong Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines Northeastern UniversityShenyang110819China Key Laboratory of Liaoning Province on Deep Engineering and Intelligent Technology Northeastern UniversityShenyang110819China

This article introduces a high-power microwave mechanical integrated continuous mining device,which can achieve synchronous cutting of hard rocks by microwave and *** device includes a cutting system,a rotary translation system,a loading system,a high-power microwave system,and a control and monitoring *** technology of“master-slave follow-up”disc cutter alternating side cutting of rock was proposed,which could improve the effectiveness of rock *** integrated structure of a microwave-cut system was then proposed,and synchronous motion of the microwave-cut system and adjustment of the loading system could be *** automatic adjustment technology of the microwave working distance was developed to dynamically control the optimal microwave working *** basic functions of the equipment were verified by *** comparing the two types of disk cutters,it is found that the master-slave follow-up disk cutter can improve significantly the dust removal effect and rock breaking efficiency in rock breaking process versus the conventional large disc *** tests of slate with or without microwave were conducted using a master-slave follow-up disk *** results show that the cutting patterns of slates change from intermittent chunks(without microwave irradiation)to persistent debris(with microwave irradiation),and the cutting speed is significantly improved(170%).The development of the device provides a scientific basis for changing the conventional mining technology of metal mines and realizing the mechanical continuous mining in hard metal mines.

关键词： Hard metal mine Microwave machinery Continuous mining Master-slave follow-up disc cutter

Global Pressure of One-Dimensional Polydisperse Granular Gases Driven by Gaussian White Noise

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Communications in Theoretical Physics 2007年第3X期48卷 481-486页

作者： CHEN Zhi-Yuan ZHANG Duan-Ming yang feng-xia HUANG Ming-Tao LI Rui ZHANG Ling ZHU Hong-Ying Department of Physics Huazhong University of Science and Technology Wuhan 430074 China Department of Physics Xianning College Xianning 437005 China

We study the global pressure of a one-dimensional polydisperse granular gases system for the first time, in which the size distribution of particles has the fractal characteristic and the inhomogeneity is described by a fractal dimension D. The particles are driven by Gaussian white noise and subject to inelastic mutual collisions. We define the global pressure P of the system as the impulse transferred across a surface in a unit of time, which has two contributions, one from the translational motion of particles and the other from the collisions. Explicit expression for the global pressure in the steady state is derived. By molecular dynamics simulations, we investigate how the inelasticity of collisions and the inhomogeneity of the particles influence the global pressure. The simulation results indicate that the restitution coefficient e and the fractal dimension D have significant effect on the pressure.

关键词： global pressure restitution coefficient e fractal dimension D Gaussian white noise polydisperse granular gases

An improved deep dilated convolutional neural network for seismic facies interpretation

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Petroleum Science 2024年第3期21卷 1569-1583页

作者： Na-xia yang Guo-Fa Li Ting-Hui Li Dong-feng Zhao Wei-Wei Gu State Key Laboratory of Petroleum Resources and Engineering CNPC Key Lab of Geophysical ExplorationChina University of Petroleum(Beijing)Beijing 102249China Dagang Branch Research InstituteBGPTianjin300280China

With the successful application and breakthrough of deep learning technology in image segmentation,there has been continuous development in the field of seismic facies interpretation using convolutional neural *** intelligent and automated methods significantly reduce manual labor,particularly in the laborious task of manually labeling seismic ***,the extensive demand for training data imposes limitations on their wider *** overcome this challenge,we adopt the UNet architecture as the foundational network structure for seismic facies classification,which has demonstrated effective segmentation results even with small-sample training ***,we integrate spatial pyramid pooling and dilated convolution modules into the network architecture to enhance the perception of spatial information across a broader *** seismic facies classification test on the public data from the F3 block verifies the superior performance of our proposed improved network structure in delineating seismic facies *** analysis against the traditional UNet model reveals that our method achieves more accurate predictive classification results,as evidenced by various evaluation metrics for image ***,the classification accuracy reaches an impressive 96%.Furthermore,the results of seismic facies classification in the seismic slice dimension provide further confirmation of the superior performance of our proposed method,which accurately defines the range of different seismic *** approach holds significant potential for analyzing geological patterns and extracting valuable depositional information.

关键词： Seismic facies interpretation Dilated convolution Spatial pyramid pooling Internal feature maps Compound loss function