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Data driven prediction of fragment velocity distribution under explosive loading conditions
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作者 Donghwan Noh Piemaan Fazily +4 位作者 Songwon Seo Jaekun Lee Seungjae Seo Hoon Huh Jeong Whan Yoon 《Defence Technology(防务技术)》 2025年第1期109-119,共11页
This study presents a machine learning-based method for predicting fragment velocity distribution in warhead fragmentation under explosive loading condition.The fragment resultant velocities are correlated with key de... This study presents a machine learning-based method for predicting fragment velocity distribution in warhead fragmentation under explosive loading condition.The fragment resultant velocities are correlated with key design parameters including casing dimensions and detonation positions.The paper details the finite element analysis for fragmentation,the characterizations of the dynamic hardening and fracture models,the generation of comprehensive datasets,and the training of the ANN model.The results show the influence of casing dimensions on fragment velocity distributions,with the tendencies indicating increased resultant velocity with reduced thickness,increased length and diameter.The model's predictive capability is demonstrated through the accurate predictions for both training and testing datasets,showing its potential for the real-time prediction of fragmentation performance. 展开更多
关键词 Data driven prediction Dynamic fracture model Dynamic hardening model FRAGMENTATION Fragment velocity distribution High strain rate Machine learning
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Effect of power supply parameters on discharge characteristics and sterilization efficiency of magnetically driven rotating gliding arc
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作者 Shaohua QIN Meizhi WANG +2 位作者 Jun DU Lanlan NIE Jie PAN 《Plasma Science and Technology》 SCIE EI CAS CSCD 2024年第9期61-68,共8页
Plasma sterilization is a new generation of high-tech sterilization method that is fast,safe,and pollution free.It is widely used in medical,food,and environmental protection fields.Home air sterilization is an emergi... Plasma sterilization is a new generation of high-tech sterilization method that is fast,safe,and pollution free.It is widely used in medical,food,and environmental protection fields.Home air sterilization is an emerging field of plasma application,which puts higher requirements on the miniaturization,operational stability,and operating cost of plasma device.In this study,a novel magnetically driven rotating gliding arc(MDRGA)discharge device was used to sterilize Lactobacillus fermentation.Compared with the traditional gas-driven gliding arc,this device has a simple structure and a more stable gliding arc.Simulation using COMSOL Multiphysics showed that adding permanent magnets can form a stable magnetic field,which is conducive to the formation of gliding arcs.Experiments on the discharge performance,ozone concentration,and sterilization effect were conducted using different power supply parameters.The results revealed that the MDRGA process can be divided into three stages:starting,gliding,and extinguishing.Appropriate voltage was the key factor for stable arc gliding,and both high and low voltages were not conducive to stable arc gliding and ozone production.In this experimental setup,the sterilization effect was the best at 6.6 kV.A high modulation duty ratio was beneficial for achieving stable arc gliding.However,when the duty ratio exceeded a certain value,the improvement in the sterilization effect was slow.Therefore,considering the sterilization effect and energy factors comprehensively,we chose 80%as the optimal modulation duty ratio for this experimental device. 展开更多
关键词 PLASMA magnetically driven rotating gliding arc STERILIZATION
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Data-driven modeling on anisotropic mechanical behavior of brain tissue with internal pressure
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作者 Zhiyuan Tang Yu Wang +3 位作者 Khalil I.Elkhodary Zefeng Yu Shan Tang Dan Peng 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第3期55-65,共11页
Brain tissue is one of the softest parts of the human body,composed of white matter and grey matter.The mechanical behavior of the brain tissue plays an essential role in regulating brain morphology and brain function... Brain tissue is one of the softest parts of the human body,composed of white matter and grey matter.The mechanical behavior of the brain tissue plays an essential role in regulating brain morphology and brain function.Besides,traumatic brain injury(TBI)and various brain diseases are also greatly influenced by the brain's mechanical properties.Whether white matter or grey matter,brain tissue contains multiscale structures composed of neurons,glial cells,fibers,blood vessels,etc.,each with different mechanical properties.As such,brain tissue exhibits complex mechanical behavior,usually with strong nonlinearity,heterogeneity,and directional dependence.Building a constitutive law for multiscale brain tissue using traditional function-based approaches can be very challenging.Instead,this paper proposes a data-driven approach to establish the desired mechanical model of brain tissue.We focus on blood vessels with internal pressure embedded in a white or grey matter matrix material to demonstrate our approach.The matrix is described by an isotropic or anisotropic nonlinear elastic model.A representative unit cell(RUC)with blood vessels is built,which is used to generate the stress-strain data under different internal blood pressure and various proportional displacement loading paths.The generated stress-strain data is then used to train a mechanical law using artificial neural networks to predict the macroscopic mechanical response of brain tissue under different internal pressures.Finally,the trained material model is implemented into finite element software to predict the mechanical behavior of a whole brain under intracranial pressure and distributed body forces.Compared with a direct numerical simulation that employs a reference material model,our proposed approach greatly reduces the computational cost and improves modeling efficiency.The predictions made by our trained model demonstrate sufficient accuracy.Specifically,we find that the level of internal blood pressure can greatly influence stress distribution and determine the possible related damage behaviors. 展开更多
关键词 Data driven Constitutive law ANISOTROPY Brain tissue Internal pressure
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Effects of counter-current driven by electron cyclotron waves on neoclassical tearing mode suppression
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作者 高钦 郑平卫 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第5期501-509,共9页
Through theoretical analysis,we construct a physical model that includes the influence of counter-external driven current opposite to the plasma current direction in the neoclassical tearing mode(NTM).The equation is ... Through theoretical analysis,we construct a physical model that includes the influence of counter-external driven current opposite to the plasma current direction in the neoclassical tearing mode(NTM).The equation is used with this model to obtain the modified Rutherford equation with co-current and counter-current contributions.Consistent with the reported experimental results,numerical simulations have shown that the localized counter external current can only partially suppress NTM when it is far from the resonant magnetic surface.Under some circumstances,the Ohkawa mechanism dominated current drive(OKCD)by electron cyclotron waves can concurrently create both co-current and counter-current.In this instance,the minimal electron cyclotron wave power that suppresses a particular NTM was calculated by the Rutherford equation.The result is marginally less than when taking co-current alone into consideration.As a result,to suppress NTM using OKCD,one only needs to align the co-current with a greater OKCD peak well with the resonant magnetic surface.The effect of its lower counter-current does not need to be considered because the location of the counter-current deviates greatly from the resonant magnetic surface. 展开更多
关键词 driven current neoclassical tearing mode modified Rutherford equation electron cyclotron waves
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Research on the Microstructure Construction Technology of Fully Degraded Polymer Vascular Stent Based on Electric Field Driven 3D Printing
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作者 Yanpu Chao Fulai Cao +3 位作者 Hao Yi Shuai Lu Yaohui Li Hui Cen 《Fluid Dynamics & Materials Processing》 EI 2024年第11期2489-2508,共20页
The so-called fourth-generation biodegradable vascular stent has become a research hotspot in thefield of bioengineering because of its good degradation ability and drug-loading characteristics.However,the preparation... The so-called fourth-generation biodegradable vascular stent has become a research hotspot in thefield of bioengineering because of its good degradation ability and drug-loading characteristics.However,the preparationof polymer-degraded vascular stents is affected by known problem such as poor processflexibility,low formingaccuracy,large diameter wall thickness,limited complex pore structure,weak mechanical properties of radial support and high process cost.In this study,a deposition technique based on a high-voltage electric-field-driven continuous rotating jet is proposed to fabricate fully degraded polymer vascular stents.The experimental results showthat,due to the rotation of the deposition axis,the deposition direction of PCL(polycaprolactone)micro-jet isalways tangent to the surface of the deposition axis.The direction of the viscous drag force is also consistent withthe deposition direction of the jet.It is shown that by setting different rotation speeds of deposition axisωandlinear motion speeds of the nozzle V,the direction of rotation,pitch and angle of the individual printed spiralcurve can be precisely tuned.In the process of multiple spiral curves matching the deposition forming thin walltube mesh,the mesh shape and size of the thin wall tube can be accurately controlled by changing the number ofmatching spiral curves and the size of the matching position bias distance.Finally,the characteristics of a PCLtubular stent sample(with uniform-size microfibers and mesh shape),fabricated under the appropriate processparameters are described in detail. 展开更多
关键词 Electricfield driven micro-jet spiral curve polymer vascular stent
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Data-model coupling driven stress field measurements
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作者 Guangbo Wang Jian Zhao +1 位作者 Jiahui Liu Dong Zhao 《Theoretical & Applied Mechanics Letters》 CAS CSCD 2024年第4期280-290,共11页
This paper presents a method for measuring stress fields within the framework of coupled data models,aimed at determining stress fields in isotropic material structures exhibiting localized deterioration behavior with... This paper presents a method for measuring stress fields within the framework of coupled data models,aimed at determining stress fields in isotropic material structures exhibiting localized deterioration behavior without relying on constitutive equations in the deteriorated region.This approach contributes to advancing the field of intrinsic equation-free mechanics.The methodology combines measured strain fields with data-model coupling driven algorithms.The gradient and Canny operators are utilized to process the strain field data,enabling the determination of the deterioration region's location.Meanwhile,an adaptive model building method is proposed for constructing coupling driven models.To address the issue of unknown datasets during computation,a dataset updating strategy based on a differential evolutionary algorithm is introduced.The resulting optimal dataset is then used to generate stress field results.Validation against finite element method calculations demonstrates the accuracy of the proposed method in obtaining full-field stresses in specimens with local degradation behavior. 展开更多
关键词 Stress field measurements Data-model coupling driven Differential evolutionary algorithm Material dataset
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Investigation of system parameters towards safer impact based shock-to-detonation transition in a novel laser driven flyer plate prototype
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作者 Gonca Saglam Ozkasapoglu Selis Onel 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第9期103-113,共11页
Laser driven flyer plate technology offers improved safety and reliability for detonation of explosives in industrial applications ranging from mining and stone quarrying to the aerospace and defense industries.This s... Laser driven flyer plate technology offers improved safety and reliability for detonation of explosives in industrial applications ranging from mining and stone quarrying to the aerospace and defense industries.This study is based on developing a safer laser driven flyer plate prototype comprised of a laser initiator and a flyer plate subsystem that can be used with secondary explosives.System parameters were optimized to initiate the shock-to-detonation transition(SDT)of a secondary explosive based on the impact created by the flyer plate on the explosive surface.Rupture of the flyer was investigated at the mechanically weakened region located on the interface of these subsystems,where the product gases from the deflagration of the explosive provide the required energy.A bilayer energetic material was used,where the first layer consisted of a pyrotechnic component,zirconium potassium perchlorate(ZPP),for sustaining the ignition by the laser beam and the second layer consisted of an insensitive explosive,cyclotetramethylene-tetranitramine(HMX),for deflagration.A plexiglass interface was used to enfold the energetic material.The focal length of the laser beam from the diode was optimized to provide a homogeneous beam profile with maximum power at the surface of the ZPP.Closed bomb experiments were conducted in an internal volume of 10 cm^(3) for evaluation of performance.Dependency of the laser driven flyer plate system output on confinement,explosive density,and laser beam power were analyzed.Measurements using a high-speed camera resulted in a flyer velocity of 670±20 m/s that renders the prototype suitable as a laser detonator in applications,where controlled employment of explosives is critical. 展开更多
关键词 Laser driven flyer plate Shock to detonation transition DETONATION Secondary explosives Pyrotechnic materials CONFINEMENT
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Data Driven Vibration Control:A Review
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作者 Weiyi Yang Shuai Li Xin Luo 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第9期1898-1917,共20页
With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing,aviation,and healthcare,the data driven vibration control(DDVC)has attracted broad interests... With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing,aviation,and healthcare,the data driven vibration control(DDVC)has attracted broad interests from both the industrial and academic communities.Input shaping(IS),as a simple and effective feedforward method,is greatly demanded in DDVC methods.It convolves the desired input command with impulse sequence without requiring parametric dynamics and the closed-loop system structure,thereby suppressing the residual vibration separately.Based on a thorough investigation into the state-of-the-art DDVC methods,this survey has made the following efforts:1)Introducing the IS theory and typical input shapers;2)Categorizing recent progress of DDVC methods;3)Summarizing commonly adopted metrics for DDVC;and 4)Discussing the engineering applications and future trends of DDVC.By doing so,this study provides a systematic and comprehensive overview of existing DDVC methods from designing to optimizing perspectives,aiming at promoting future research regarding this emerging and vital issue. 展开更多
关键词 Data driven vibration control(DDVC) data science designing method feedforward control industrial robot input shaping optimizing method residual vibration
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Analysis of Vibration Characteristics of Electro-hydraulic Driven 3-UPS/S Parallel Stabilization Platform
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作者 Xiaoming Yuan Weiqi Wang +1 位作者 Haodong Pang Lijie Zhang 《Chinese Journal of Mechanical Engineering》 CSCD 2024年第6期212-224,共13页
With the development of fluid-power transmission and control technology,electro-hydraulic-driven technology can significantly improve the load-carrying capacity,stiffness,and control accuracy of stabilization platform... With the development of fluid-power transmission and control technology,electro-hydraulic-driven technology can significantly improve the load-carrying capacity,stiffness,and control accuracy of stabilization platforms.However,compared with mechanically driven platforms,the stiffness and damping of the fluid,as well as the coupling effect between the fluid and the structure need to be considered for electro-hydraulic-driven parallel stabilization platforms,making the modal and dynamic response characteristics of the mechanism more complex.With the aim of solving the aforementioned issues,we research the electro-hydraulic driven 3-UPS/S parallel stabilization platform considering the hinge stiffness.Moreover,the characteristic vibration equation of the mechanism is established using the virtual work principle.Subsequently,the variation characteristics of the natural frequency and the vibration response according to the position of the mechanism are analyzed based on the dynamic equation.Finally,the correctness of the model is verified by a modal test and Runge-Kutta methods.This study provides a theoretical basis for the dynamic design of electrohydraulic-driven parallel mechanisms. 展开更多
关键词 Electro-hydraulic driven 3-UPS/S parallel stabilization platform Kinetic equation Vibration mode Vibration response Modal test
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融合知识驱动和数据驱动的混合决策模型构建:以室性心动过速病因诊断为例
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作者 王敏 胡兆 +3 位作者 徐晓巍 郑思 李姣 姚焰 《协和医学杂志》 北大核心 2025年第2期454-461,共8页
目的构建一个融合知识驱动和数据驱动的混合决策模型,并将其应用于室性心动过速的病因诊断。方法检索2018—2023年心律失常疾病领域的临床实践指南、专家共识和医学文献作为知识源,并回顾性收集2013—2023年中国医学科学院阜外医院室性... 目的构建一个融合知识驱动和数据驱动的混合决策模型,并将其应用于室性心动过速的病因诊断。方法检索2018—2023年心律失常疾病领域的临床实践指南、专家共识和医学文献作为知识源,并回顾性收集2013—2023年中国医学科学院阜外医院室性心动过速(ventricular tachycardia,VT)患者的电子病历信息作为数据集。采用基于知识规则的方法构建临床路径作为知识驱动模型;基于真实世界数据构建VT病因诊断三分类机器学习模型,并选取其中的最佳模型作为数据驱动模型代表;以临床路径为基本框架,将机器学习模型以自定义运算符的形式嵌入临床路径的决策节点中,作为混合模型。评价上述3种模型的精确率、召回率和F1分数。结果共纳入3部临床实践指南作为知识驱动模型的知识源;收集了1305条患者数据作为数据集,构建了5种机器学习模型,其中XGBoost模型最佳。混合模型采用知识驱动的决策思维,分别将XGBoost模型嵌入2层分类的决策节点中。3种模型的精确率、召回率和F1分数如下:知识驱动模型为80.4%、79.1%和79.7%;数据驱动模型分别为88.4%、88.5%和88.4%;混合模型分别为90.4%、90.2%和90.3%。结论融合知识与数据驱动的混合模型展现出更高的准确性,且混合模型的所有决策结果均基于循证证据,这更接近临床医生的实际诊断思维。未来需更严格地验证混合模型广泛应用于医学领域的可行性。 展开更多
关键词 室性心动过速 知识驱动 数据驱动 混合模型 决策支持
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磁驱动固体套筒实验模拟中的电流系数
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作者 阚明先 陈涵 +4 位作者 吴凤超 贾月松 张南川 傅贞 段书超 《高压物理学报》 CAS 北大核心 2025年第1期79-85,共7页
采用不可压缩理论模型,对FP-2装置上开展的磁驱动固体套筒实验进行了模拟分析。模拟结果表明,无论是二维磁流体力学理论模型,还是其他不可压缩理论模型,回流罩结构磁驱动固体套筒的边界磁感应强度公式中都包含一个小于1的套筒电流系数... 采用不可压缩理论模型,对FP-2装置上开展的磁驱动固体套筒实验进行了模拟分析。模拟结果表明,无论是二维磁流体力学理论模型,还是其他不可压缩理论模型,回流罩结构磁驱动固体套筒的边界磁感应强度公式中都包含一个小于1的套筒电流系数。对不同套筒厚度、不同套筒半径条件下磁驱动固体套筒实验的电流系数进行了模拟,发现电流系数不仅与套筒内半径有关,还与套筒厚度有关;套筒内半径越大,套筒电流系数越小;套筒厚度越大,套筒电流系数越小。准确掌握磁驱动固体套筒电流系数的变化规律,可使磁流体程序从磁驱动固体套筒实验的后验模拟发展为精确预测,使磁流体力学模型真正具备正确设计和指导磁驱动固体套筒相关实验的理论能力。 展开更多
关键词 磁驱动固体套筒实验 二维磁驱动数值模拟程序 磁流体力学 电流系数 回流罩结构
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知识数据双驱动的感潮河网水动力智能模拟方法
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作者 袁赛瑜 陈逸鸿 +2 位作者 罗霄 张汇明 唐洪武 《水科学进展》 北大核心 2025年第1期28-38,共11页
感潮河网地区大量水闸、泵站智慧高效的联合调度是实现河网活水提质的重要保障,但以往的智能模拟方法缺乏物理可解释性,难以准确描述感潮河网复杂的水动力过程。本文提出了一种知识数据双驱动的感潮河网水动力智能模拟方法,应用于概化... 感潮河网地区大量水闸、泵站智慧高效的联合调度是实现河网活水提质的重要保障,但以往的智能模拟方法缺乏物理可解释性,难以准确描述感潮河网复杂的水动力过程。本文提出了一种知识数据双驱动的感潮河网水动力智能模拟方法,应用于概化感潮河网和上海蕰南片感潮河网的水动力模拟。结果表明:以人工神经网络为主干、以河网水流控制方程作为物理约束,构建包含控制方程残差的人工神经网络损失函数,不断迭代优化神经网络权重集直至损失函数满足要求,从而实现同时具备物理可解释性和高效计算效率的感潮河网水动力智能模拟;该方法区别于传统人工神经网络,表现在所需的训练数据大幅度减少,还可以得到没有训练数据断面的水动力过程;该方法具有良好的模拟精度、计算效率以及鲁棒性。 展开更多
关键词 水动力模拟 感潮河网 智能模拟 知识驱动 数据驱动
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我国统一数据要素大市场框架体系与建设路径研究 被引量:1
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作者 陈晓红 肖粲然 +2 位作者 曹文治 张威威 刘咏梅 《中国工程科学》 北大核心 2025年第1期40-50,共11页
数字经济成为时代发展潮流,建设全国统一数据要素大市场是推动数字经济发展、加快构建新发展格局的关键性举措。本文探讨了统一数据要素大市场的概念和内涵,结合我国数据要素市场发展现状总结了统一数据要素大市场建设面临的制度体系、... 数字经济成为时代发展潮流,建设全国统一数据要素大市场是推动数字经济发展、加快构建新发展格局的关键性举措。本文探讨了统一数据要素大市场的概念和内涵,结合我国数据要素市场发展现状总结了统一数据要素大市场建设面临的制度体系、基础设施、技术服务、市场标准等方面的问题;构建了多层次的数据要素市场,针对性提出了我国统一数据要素大市场体系框架以及市场生态、交易平台、保障体系等建设要点。研究认为,我国统一数据要素大市场建设可采取“两阶段、四步走”的发展路径,突出市场基础建设阶段的数据要素高质量供给、安全存储管理,场景驱动服务阶段的高效交易流通、实际应用效能。为此建议,深化政策扶持、强化设施建设、规范数据标准、破除数据壁垒、培育良好生态,加快建设健康、稳定、高效的数据市场,促进数字经济高质量发展。 展开更多
关键词 数据要素 统一大市场 市场生态 场景驱动 数据交互 数据标准
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基于简易冲击分解模型的爆轰驱动硅橡胶数值模拟及实验解读
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作者 刘军 殷建伟 张凤国 《爆炸与冲击》 EI CAS 北大核心 2025年第1期123-132,共10页
为了反映爆轰驱动下硅橡胶发生冲击分解反应的物理过程,提出了一种简易的硅橡胶冲击分解模型。基于该模型,对爆轰驱动含硅橡胶夹层钢板实验进行了模拟,并分析解读了钢板的自由面速度。结果表明,实验中硅橡胶发生了冲击分解反应,导致钢... 为了反映爆轰驱动下硅橡胶发生冲击分解反应的物理过程,提出了一种简易的硅橡胶冲击分解模型。基于该模型,对爆轰驱动含硅橡胶夹层钢板实验进行了模拟,并分析解读了钢板的自由面速度。结果表明,实验中硅橡胶发生了冲击分解反应,导致钢板的自由面速度曲线出现了首次起跳中间速度平台及首次起跳速度峰值降低的现象。受硅橡胶冲击分解影响,首次入射波压力将在临界冲击分解压力附近弛豫一段时间,再继续升高至最高压力。该压力波作用于钢板的自由面后,出现了自由面速度在中间速度平台停留一段时间,之后继续升高至速度峰值的现象。硅橡胶冲击分解后的气相物质可压缩性较高,首次加载波内较多的能量被用于压缩气体做功,导致首次波传播至自由面时能量衰减,峰值压力降低,首次起跳速度峰值降低。 展开更多
关键词 硅橡胶 爆轰驱动 冲击分解 分解压力
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Temperature-Driven Zika Virus Risk Prediction Model and Control Strategies: A Case Study of Brazil
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作者 Zongmin Yue Xiangrui Ji Yingpan Zhang 《Journal of Applied Mathematics and Physics》 2024年第12期4213-4241,共29页
Climate is a major driver of vector proliferation and arbovirus transmission, with temperature being a primary focus of research. Unlike other mosquito-borne diseases, Zika virus transmission involves both sexual tran... Climate is a major driver of vector proliferation and arbovirus transmission, with temperature being a primary focus of research. Unlike other mosquito-borne diseases, Zika virus transmission involves both sexual transmission between humans and environmental transmission pathways, a characteristic largely overlooked in existing studies. This paper develops a temperature-dependent transmission model based on the unique transmission characteristics of the Zika virus. We estimated the historical transmission of Zika virus in Brazil using a temperature-dependent basic reproduction number to assess the impact of climate change on Zika virus spread in the region. Results indicate that the temperature range for Zika virus outbreaks is between 23.34˚C and 33.99˚C, peaking at 3.2 at 29.4˚C. This range and peak temperature are approximately 1˚C lower than those found in models that do not consider environmental transmission pathways. By incorporating seasonal variations into the model and categorizing ten Brazilian cities into five climatic types based on temperature changes, we simulated historical and future daily average temperatures using the GFDL-ESM4 temperature model. We analyzed the control periods and virus risks across different regions and projected Zika virus transmission risk in Brazil under four Shared Socioeconomic Pathways (SSP126, SSP245, SSP370, and SSP585). The results suggest that under the SSP126 scenario, the control periods will extend by 2 - 3 months with rising temperatures. This study concludes by discussing the impact of temperature changes on control measures, emphasizing the importance of reducing adult mosquito populations through the Sterile Insect Technique (SIT) to mitigate future risks. 展开更多
关键词 Zika Virus Basic Reproduction Number Temperature-driven Risk Prediction
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基于卷积-长短记忆神经网络的页岩气井短期产量预测与概率性评价
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作者 郭建春 任文希 +3 位作者 曾凡辉 刘彧轩 段又菁 罗扬 《钻采工艺》 北大核心 2025年第1期130-137,共8页
页岩气赋存方式多样、渗流机理复杂,气井生产制度多变,准确预测页岩气井产量难度大。针对这一问题,文章基于数据驱动的思想,对历史生产数据进行了预处理,建立了由产量、油嘴尺寸、生产时间和关井时间组成的多维时间序列,结合卷积神经网... 页岩气赋存方式多样、渗流机理复杂,气井生产制度多变,准确预测页岩气井产量难度大。针对这一问题,文章基于数据驱动的思想,对历史生产数据进行了预处理,建立了由产量、油嘴尺寸、生产时间和关井时间组成的多维时间序列,结合卷积神经网络(CNN)和长短记忆神经网络(LSTM),基于混合式深度学习架构,建立了基于卷积-长短记忆神经网络的页岩气井短期产量预测模型(CNN-LSTM)。CNN-LSTM采用CNN提取高维特征之间的交互作用信息,并利用LSTM提取这些特征的时序信息,实现了交互作用信息和时序信息的融合。生产数据测试表明:CNN-LSTM考虑了生产制度的影响,因此其产量预测精度高于单变量LSTM和多变量LSTM。进一步发展了基于核密度估计理论的产量概率性预测方法,实现了产量预测结果的不确定分析,获得了未来气井产量的变化范围。研究成果有望为页岩气井生产动态分析、产量预测和生产管理提供支撑。 展开更多
关键词 页岩气井 产量预测 神经网络 不确定分析 数据驱动
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基于真问题驱动的城市轨道交通学科研究生培养模式
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作者 黄世泽 孙章 +3 位作者 张毅 肖军华 邹亮 伍丹 《城市轨道交通研究》 北大核心 2025年第1期6-9,14,共5页
[目的]城市轨道交通系统作为城市交通的重要组成部分,与人们出行和城市发展紧密相关。城市化进程的不断加快和人们对出行效率的不断追求,对城市轨道交通领域的人才培养提出了更高的要求。目前城市轨道交通学科研究生的培养模式存在与产... [目的]城市轨道交通系统作为城市交通的重要组成部分,与人们出行和城市发展紧密相关。城市化进程的不断加快和人们对出行效率的不断追求,对城市轨道交通领域的人才培养提出了更高的要求。目前城市轨道交通学科研究生的培养模式存在与产业需求脱节、选题脱离实际需求、产学融合度低等问题,不仅制约了学生的全面发展和专业素养的提升,也将影响城市轨道交通领域技术的创新和发展,需对城市轨道交通学科研究生创新培养模式进行研究。[方法]对真问题驱动培养模式的特点进行分析,结合城市轨道交通学科研究生培养模式的现状及问题,以中国城市轨道交通科技创新创业大赛为例,提出了一种真实问题驱动的研究生培养创新模式。[结果及结论]在引入真实问题情境后,学生能够深度参与实际项目,并进一步与企业合作,从而培养其实践能力和创新精神。真问题驱动的城市轨道交通学科研究生培养模式能够激发学生的学习兴趣和实践动力,锻炼学生创新思维,并提升学生解决实际问题以及创新思维方面的能力。 展开更多
关键词 城市轨道交通 学科教育 真问题驱动 研究生培养 创新训练
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给排水专业课程建设与教学改革探索——以水质工程学课程为例
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作者 欧阳二明 赵瑞 +3 位作者 陈战利 黄小华 杨宏伟 石磊 《高教学刊》 2025年第8期154-157,162,共5页
随着社会和科技的飞速发展,作为传统工科的给排水科学与工程专业正面临着新时代的机遇与挑战。该文针对当前给排水科学与工程专业现状展开探讨,分析目前给排水科学与工程专业课教学存在的主要问题,提出相应的教学改革原则,归纳总结翻转... 随着社会和科技的飞速发展,作为传统工科的给排水科学与工程专业正面临着新时代的机遇与挑战。该文针对当前给排水科学与工程专业现状展开探讨,分析目前给排水科学与工程专业课教学存在的主要问题,提出相应的教学改革原则,归纳总结翻转课堂、项目驱动、问题驱动和电子学习这几种教学方法的定义、特点,并以此构建新型立体教学模式,结合其在水质工程学课程中的应用与效果,进行效果评价并揭示这一模式对提升教学效果的积极作用,总结教改成果并展望未来给排水科学与工程专业课程建设与教学改革的发展方向。 展开更多
关键词 水质工程学 教学方法 翻转课堂 问题驱动 项目驱动 电子学习
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旅游驱动乡村治理——城乡要素流动视角的动力学机制分析
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作者 刘民坤 邓小桂 《旅游学刊》 北大核心 2025年第2期15-29,共15页
城乡融合发展是中国式现代化的必然要求。通过乡村旅游促进城乡要素平等交换、双向流动,能够推进乡村全面振兴,促进城乡共同繁荣发展。文章从城乡要素流动视角,基于“驱动力-状态-响应”的分析框架,构建了旅游驱动乡村治理的模型,借助Ve... 城乡融合发展是中国式现代化的必然要求。通过乡村旅游促进城乡要素平等交换、双向流动,能够推进乡村全面振兴,促进城乡共同繁荣发展。文章从城乡要素流动视角,基于“驱动力-状态-响应”的分析框架,构建了旅游驱动乡村治理的模型,借助Versim系统动力学建模软件揭示旅游驱动乡村治理的复杂内在机制。通过对驱动力子系统的主要参数进行调节,预测状态子系统和响应子系统的仿真变化,模拟6种不同驱动力情景下乡村治理水平受到各种因素共同影响的作用机制和演化趋势。研究结果表明:单要素驱动模式中创新要素的驱动效果最为明显,多要素综合驱动模式中乡村旅游驱动模式的仿真结果为最优,此模式既能有效激活城乡各要素的协同驱动力,又能规避生态环境风险,有效提升乡村治理水平。文章初步搭建了旅游驱动乡村治理的系统动力学研究框架,完善、深化了对乡村旅游通过城乡要素流动驱动乡村治理内在作用机制的研究,为乡村旅游驱动乡村治理实践提供了路径参考。 展开更多
关键词 旅游驱动 乡村治理 要素流动 系统动力学 内在机制
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前驱站立式椭圆机的结构设计及仿真分析
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作者 栗永非 尹周杨 +1 位作者 秦盛伟 刘向辉 《机械设计》 北大核心 2025年第3期143-149,共7页
为充分锻炼人体上下肢,文中设计了一种前驱站立式椭圆机,采用解析法建立了椭圆机的运动方程,一方面获得脚踏板中心点J和扶手中心点S的轨迹,并据此确定各杆件最优长度;另一方面获得点J和点S的速度和加速度,并通过运动学仿真进行验证,从... 为充分锻炼人体上下肢,文中设计了一种前驱站立式椭圆机,采用解析法建立了椭圆机的运动方程,一方面获得脚踏板中心点J和扶手中心点S的轨迹,并据此确定各杆件最优长度;另一方面获得点J和点S的速度和加速度,并通过运动学仿真进行验证,从而确保椭圆机运动平稳;最后,对运动过程双脚站立时和上下椭圆机单脚站立时的受力情况进行静力学仿真,确保两种情况下满足强度要求。结果表明:点J和点S轨迹、速度和加速度解析值与仿真值吻合,验证了运动方程的准确性;当l_(1)=200 mm,l_(2)=800 mm,l_(3)=265 mm,l_(5)=65 mm,l_(8)=350 mm,l_(J)=360 mm和l_(S)=350 mm时,点J和点S轨迹最优,其速度和加速度波动也较小;两种情况下的最大应力均位于飞轮连接轴处,因此该轴直径须大于26 mm。 展开更多
关键词 前驱站立式 椭圆机 结构设计 运动特性 仿真
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