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Flow field simulation and establishment for mathematical models of flow area of spool valve with sloping U-shape notch machined by different methods 被引量:10
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作者 王兆强 顾临怡 +2 位作者 冀宏 陈家旺 李林 《Journal of Central South University》 SCIE EI CAS 2014年第1期140-150,共11页
Precise function expression of the flow area for the sloping U-shape notch orifice versus the spool stroke was derived. The computational fluid dynamics was used to analyze the flow features of the sloping U-shape not... Precise function expression of the flow area for the sloping U-shape notch orifice versus the spool stroke was derived. The computational fluid dynamics was used to analyze the flow features of the sloping U-shape notch on the spool, such as mass flow rates, flow coefficients, effiux angles and steady state flow forces under different operating conditions. At last, the reliability of the mathematical model of the flow area for the sloping U-shape notch orifice on the spool was demonstrated by the comparison between the orifice area curve derived and the corresponding experimental data provided by the test. It is presented that the bottom arc of sloping U-shape notch (ABU) should not be omitted when it is required to accurately calculate the orifice area of ABU. Although the theoretical flow area of plain bottom sloping U-shape notch (PBU) is larger than that of ABU at the same opening, the simulated mass flow and experimental flow area of ABU are both larger than these of PBU at the same opening, while the simulated flow force of PBU is larger than that of ABU at the same opening. Therefore, it should be prior to adapt the ABU when designing the spool with proportional character. 展开更多
关键词 spool valve flow field simulation flow area steady state flow force mathematical model sloping U-shape notch
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Numerical simulation of flow around square cylinder using different low-Reynolds number turbulence models 被引量:3
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作者 张泠 周军莉 +2 位作者 陈晓春 兰丽 张楠 《Journal of Central South University of Technology》 EI 2008年第4期564-568,共5页
ABE-KONDOH-NAGANO,ABID,YANG-SHIH and LAUNDER-SHARMA low-Reynolds number turbulence models were applied to simulating unsteady turbulence flow around a square cylinder in different phases flow field and time-averaged u... ABE-KONDOH-NAGANO,ABID,YANG-SHIH and LAUNDER-SHARMA low-Reynolds number turbulence models were applied to simulating unsteady turbulence flow around a square cylinder in different phases flow field and time-averaged unsteady flow field.Meanwhile,drag and lift coefficients of the four different low-Reynolds number turbulence models were analyzed.The simulated results of YANG-SHIH model are close to the large eddy simulation results and experimental results,and they are significantly better than those of ABE-KONDOH-NAGANO,ABID and LAUNDER-SHARMR models.The modification of the generation of turbulence kinetic energy is the key factor to a successful simulation for YANG-SHIH model,while the correction of the turbulence near the wall has minor influence on the simulation results.For ABE-KONDOH-NAGANO,ABID and LAUNDER-SHARMA models satisfactory simulation results cannot be obtained due to lack of the modification of the generation of turbulence kinetic energy.With the joint force of wall function and the turbulence models with the adoption of corrected swirl stream,flow around a square cylinder can be fully simulated with less grids by the near-wall. 展开更多
关键词 low-Reynolds number turbulence model flow around square cylinder numerical simulation
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A Simulation Model for Mixing Traffic Flow at An Intersection 被引量:1
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作者 Juan Zhicai Chen Ling & Zhang Jie(Jilin Univ. of Technology P.R. China) 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1996年第3期63-68,共6页
This paper will develop a model simulation mixing traffic flow in the signal controlintersection. Applying the model, the schemes of traffic channeling and controlling in the typical intersection are analyzed and opti... This paper will develop a model simulation mixing traffic flow in the signal controlintersection. Applying the model, the schemes of traffic channeling and controlling in the typical intersection are analyzed and optimized and the optimal scheme make the average stop frequency be reduced by 31.8% and average stop time be reduced by 27.7%. 展开更多
关键词 Traffic flow simulation model.
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Haptic Modeling and Rendering Based on Neurofuzzy Rules for Surgical Cutting Simulation
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作者 SONG Wei-Guo YUAN Kui FU Yu-Jin 《自动化学报》 EI CSCD 北大核心 2006年第2期193-199,共7页
This paper combines image processing with 3D magnetic tracking method to develop a scalpel for haptic simulation in surgical cutting. First, a cutting parameter acquisition setup is presented and the performance is va... This paper combines image processing with 3D magnetic tracking method to develop a scalpel for haptic simulation in surgical cutting. First, a cutting parameter acquisition setup is presented and the performance is validated from soft tissue cutting. Then, based on the acquired input-output data pairs, a method for fuzzy system modeling is presented, that is, after partitioning each input space equally and giving the premises and the total number of fuzzy rules, the consequent parameters and the fuzzy membership functions (MF) of the input variables are learned and optimized via a neurofuzzy modeling technique. Finally, a haptic scalpel implemented with the established cutting model is described. Preliminary results show the feasibility of the haptic display system for real-time interaction. 展开更多
关键词 图象处理 模糊神经网络 切割模拟 触觉显示
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Nonlinear flow numerical simulation of low-permeability reservoir 被引量:2
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作者 于荣泽 卞亚南 +3 位作者 周舒 王楷军 吕琦 陈朝辉 《Journal of Central South University》 SCIE EI CAS 2012年第7期1980-1987,共8页
A nonlinear flow reservoir mathematical model was established based on the flow characteristic of low-permeability reservoir.The well-grid equations were deduced and the dimensionless permeability coefficient was intr... A nonlinear flow reservoir mathematical model was established based on the flow characteristic of low-permeability reservoir.The well-grid equations were deduced and the dimensionless permeability coefficient was introduced to describe the permeability variation of nonlinear flow.The nonlinear flow numerical simulation program was compiled based on black-oil model.A quarter of five-spot well unit was simulated to study the effect of nonlinear flow on the exploitation of low-permeability reservoir.The comprehensive comparison and analysis of the simulation results of Darcy flow,quasi-linear flow and nonlinear flow were provided.The dimensionless permeability coefficient distribution was gained to describe the nonlinear flow degree.The result shows that compared with the results of Darcy flow,when considering nonlinear flow,the oil production is low,and production decline is rapid.The fluid flow in reservoir consumes more driving energy,which reduces the water flooding efficiency.Darcy flow model overstates the reservoir flow capability,and quasi-linear flow model overstates the reservoir flow resistance.The flow ability of the formation near the well and artificial fracture is strong while the flow ability of the formation far away from the main streamline is weak.The nonlinear flow area is much larger than that of quasi-linear flow during the fluid flow in low-permeability reservoir.The water propelling speed of nonlinear flow is greatly slower than that of Darcy flow in the vertical direction of artificial fracture,and the nonlinear flow should be taken into account in the well pattern arrangement of low-permeability reservoir. 展开更多
关键词 low-permeability reservoir nonlinear flow mathematical model numerical simulation
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Virtual reality mobility model for wireless ad hoc networks 被引量:1
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作者 Yu Ziyue Gong Bo He Xingui 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2008年第4期819-826,共8页
For wireless ad hoc networks simulation, node's mobility pattern and traffic pattern are two key elements. A new simulation model is presented based on the virtual reality collision detection algorithm in obstacle en... For wireless ad hoc networks simulation, node's mobility pattern and traffic pattern are two key elements. A new simulation model is presented based on the virtual reality collision detection algorithm in obstacle environment, and the model uses the path planning method to avoid obstacles and to compute the node's moving path. Obstacles also affect node's signal propagation. Considering these factors, this study implements the mobility model for wireless ad hoc networks. Simulation results show that the model has a significant impact on the performance of protocols. 展开更多
关键词 wireless ad hoc networks computer simulation network protocols mobility models
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Simulation of two-dimensional interior ballistics model of solid propellant electrothermal-chem ical launch with discharge rod plasma generator 被引量:6
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作者 Yan-jie Ni Yong Jin +3 位作者 Niankai Cheng Chun-xia Yang Hai-yuan Li Bao-ming Li 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2017年第4期249-256,共8页
Instead of the capillary plasma generator(CPG),a discharge rod plasma generator(DRPG)is used in the30 mm electrothermal-chemical(ETC)gun to improve the ignition uniformity of the solid propellant.An axisymmetric two-d... Instead of the capillary plasma generator(CPG),a discharge rod plasma generator(DRPG)is used in the30 mm electrothermal-chemical(ETC)gun to improve the ignition uniformity of the solid propellant.An axisymmetric two-dimensional interior ballistics model of the solid propellant ETC gun(2D-IB-SPETCG)is presented to describe the process of the ETC launch.Both calculated pressure and projectile muzzle velocity accord well with the experimental results.The feasibility of the 2D-IB-SPETCG model is proved.Depending on the experimental data and initial parameters,detailed distribution of the ballistics parameters can be simulated.With the distribution of pressure and temperature of the gas phase and the propellant,the influence of plasma during the ignition process can be analyzed.Because of the radial flowing plasma,the propellant in the area of the DRPG is ignited within 0.01 ms,while all propellant in the chamber is ignited within 0.09 ms.The radial ignition delay time is much less than the axial delay time.During the ignition process,the radial pressure difference is less than 5 MPa at the place 0.025 m away from the breech.The radial ignition uniformity is proved.The temperature of the gas increases from several thousand K(conventional ignition)to several ten thousand K(plasma ignition).Compare the distribution of the density and temperature of the gas,we know that low density and high temperature gas appears near the exits of the DRPG,while high density and low temperature gas appears at the wall near the breech.The simulation of the 2D-IB-SPETCG model is an effective way to investigate the interior ballistics process of the ETC launch.The 2D-IB-SPETC model can be used for prediction and improvement of experiments. 展开更多
关键词 Electrothermal-chemical LAUNCH Interior BALLISTICS simulation Two-phase flow TWO-DIMENSIONAL model
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Flatness predictive model based on T-S cloud reasoning network implemented by DSP 被引量:4
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作者 ZHANG Xiu-ling GAO Wu-yang +1 位作者 LAI Yong-jin CHENG Yan-tao 《Journal of Central South University》 SCIE EI CAS CSCD 2017年第10期2222-2230,共9页
The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digita... The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digital signal processor(DSP) is proposed. First, the combination of genetic algorithm(GA) and simulated annealing algorithm(SAA) is put forward, called GA-SA algorithm, which can make full use of the global search ability of GA and local search ability of SA. Later, based on T-S cloud reasoning neural network, flatness predictive model is designed in DSP. And it is applied to 900 HC reversible cold rolling mill. Experimental results demonstrate that the flatness predictive model via T-S cloud reasoning network can run on the hardware DSP TMS320 F2812 with high accuracy and robustness by using GA-SA algorithm to optimize the model parameter. 展开更多
关键词 T-S CLOUD reasoning neural network CLOUD model FLATNESS predictive model hardware implementation digital signal PROCESSOR genetic ALGORITHM and simulated annealing ALGORITHM (GA-SA)
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The Complex System Modeling Method Based on Uniform Design and Neural Network 被引量:1
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作者 Zhang Yong(Beijing Simulation Center, P.O.Box 142-23, Beijing 100854, P.R. China) 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1996年第4期27-36,共10页
In this paper, the method based on uniform design and neural network is proposed to model the complex system. In order to express the system characteristics all round, uniform design method is used to choose the model... In this paper, the method based on uniform design and neural network is proposed to model the complex system. In order to express the system characteristics all round, uniform design method is used to choose the modeling samples and obtain the overall information of the system;for the purpose of modeling the system or its characteristics, the artificial neural network is used to construct the model. Experiment indicates that this method can model the complex system effectively. 展开更多
关键词 modeling method Uniform design Neural network Complex system simulation.
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MODFLOW-CFPv2 模型在岩溶隧道突涌水及对地下水环境影响中的应用: 以云南鹤庆锰矿沟岩溶水系统为例 被引量:2
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作者 肖竞 万军伟 +4 位作者 成建梅 李仲夏 余杭 李槿鸿 袁帅 《地质科技通报》 CAS CSCD 北大核心 2024年第3期301-310,共10页
滇中地区构造复杂、岩溶发育,隧洞突涌水及泉流量衰减是隧洞施工过程中最棘手的问题之一。锰矿沟岩溶水系统岩溶管道化程度高,岩溶裂隙与岩溶管道2种含水介质差异显著。采用MODFLOW-CFPv2双重介质数值模型对锰矿沟岩溶水系统展开数值模... 滇中地区构造复杂、岩溶发育,隧洞突涌水及泉流量衰减是隧洞施工过程中最棘手的问题之一。锰矿沟岩溶水系统岩溶管道化程度高,岩溶裂隙与岩溶管道2种含水介质差异显著。采用MODFLOW-CFPv2双重介质数值模型对锰矿沟岩溶水系统展开数值模拟研究,精细刻画岩溶管道与引水隧洞,进而掌握隧洞施工对地下水流场影响以及泉流量变化的规律。结果表明:(1)MODFLOW-CFPv2模型能够刻画岩溶地区复杂的地质结构,较好地模拟研究区地下水位的动态特征和岩溶泉流量响应特征。(2)在强排工况下隧洞单位长度最大涌水量为164 m^(3)/(d·m),单位长度稳定涌水量为69 m^(3)/(d·m),锰矿沟岩溶泉流量也出现显著下降的趋势,在模拟期内平均泉流量从天然条件下1578 L/s下降至1098 L/s,总体减少了30.4%;峰值泉流量从2133 L/s下降至1375 L/s,减少了35.5%,强排工况施工会对隧洞工程施工和地下水环境造成显著影响;限排工况下隧洞单位长度最大涌水量为39 m^(3)/(d·m),单位长度稳定涌水量为24 m^(3)/(d·m),隧洞单位长度涌水量显著降低,锰矿沟岩溶泉流量的下降趋势也得到了一定程度的改善,模拟期内平均泉流量降低至1284 L/s,减少了18.6%,峰值泉流量降低至1617 L/s,减少了22.1%。采用的MODFLOW-CFPv2双重介质模型具有较精确刻画岩溶区管道、溶洞、裂隙共存的高度非均质岩溶水系统的能力,能够定量评价香炉山隧洞施工对锰矿沟岩溶水系统地下水流场及泉流量的影响,为香炉山隧洞工程的突涌水灾害防治提供参考依据,也为岩溶地区复杂地质条件下地下水研究提供借鉴经验。 展开更多
关键词 双重介质 数值模拟 引水隧洞 泉流量 MODflow-CFPv2模型 岩溶隧道 突涌水 云南锰矿沟岩溶水系统
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基于机器学习的酸性气藏地下储气库硫化氢含量预测方法 被引量:1
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作者 冯国庆 杜勤锟 +3 位作者 周道勇 蔡家兰 程希 莫海帅 《天然气工业》 北大核心 2025年第2期159-169,共11页
地下储气库(以下简称储气库)中含有硫化氢等有害气体,不仅影响储气库的安全运行,还直接对环境造成严重污染,准确预测储气库采出气组分中H2S的含量具有重要意义。目前,常采用油藏数值模拟的组分模型来预测H2S含量,但其计算过程复杂且耗... 地下储气库(以下简称储气库)中含有硫化氢等有害气体,不仅影响储气库的安全运行,还直接对环境造成严重污染,准确预测储气库采出气组分中H2S的含量具有重要意义。目前,常采用油藏数值模拟的组分模型来预测H2S含量,但其计算过程复杂且耗时较长,不能方便快捷地用于储气库单井H2S的含量预测。为此,以HCX储气库为研究对象,在建立储气库的机理模型并开展数值模拟的基础上,以机理模型计算的储气库多周期H2S预测结果为样本集,应用多输出支持向量回归(MSVR)、长短期记忆网络(LSTM)、人工神经网络(ANN)3种机器学习算法建立了硫化氢含量的智能代理模型,并对3种模型预测精度进行对比分析。研究结果表明:①长短期记忆网络模型具有适中的训练时间、较好的预测精度,可将该模型作为HCX储气库的H2S预测智能代理模型;②进一步对LSTM模型的训练数据和过渡拟合问题进行优化,确定最佳训练数集1500组,最佳丢弃率为0.2,隐含层设置范围可控制在层数1~2层,节点数30~60个;③经HCX储气库的实例应用表明,建立的LSTM智能代理模型能够准确预测储气库采出气中H2S的含量。结论认为,经过优化的LSTM算法智能代理模型具有较好的外推性,该研究成果可为含H2S储气库的建设和安全高效运行提供技术支持。 展开更多
关键词 含硫储气库 数值模拟 组分模拟 硫化氢含量预测 机器学习 长短期记忆网络模型 机器学习模型优化
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Dynamic Coordination of Uncalibrated Hand/Eye Robotic System Based on Neural Network 被引量:1
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作者 Su, J. Pan, Q. Xi, Y. 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2001年第3期45-50,共6页
A nonlinear visual mapping model is presented to replace the image Jacobian relation for uncalibrated hand/eye coordination. A new visual tracking controller based on artificial neural network is designed. Simulation ... A nonlinear visual mapping model is presented to replace the image Jacobian relation for uncalibrated hand/eye coordination. A new visual tracking controller based on artificial neural network is designed. Simulation results show that this method can drive the static tracking error to zero quickly and keep good robustness and adaptability at the same time. In addition, the algorithm is very easy to be implemented with low computational complexity. 展开更多
关键词 Adaptive algorithms Computational complexity Computer simulation Coordinate measuring machines Error detection Mathematical models Neural networks Robotic arms Robustness (control systems) Stereo vision
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考虑裂纹分形维数的平行黏结模型细观参数标定的神经网络模型
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作者 龚囱 戚燕顺 +4 位作者 缪浩杰 肖琦 熊良锋 曾鹏 赵奎 《岩土力学》 北大核心 2025年第1期327-336,共10页
针对试错法在平行黏结模型细观参数标定过程中存在繁琐耗时,且无法定量评价数值模拟与室内试验的裂纹匹配程度等局限性,统计并分析了近10年平行黏结模型细观参数取值范围,采用盒计数法获取了数值模拟试验、室内试验所得破坏后岩石表面... 针对试错法在平行黏结模型细观参数标定过程中存在繁琐耗时,且无法定量评价数值模拟与室内试验的裂纹匹配程度等局限性,统计并分析了近10年平行黏结模型细观参数取值范围,采用盒计数法获取了数值模拟试验、室内试验所得破坏后岩石表面裂纹分形维数。在此基础上,建立了以宏观弹性模量、宏观泊松比、峰值强度和裂纹分形维数等4个参数为输入层,黏结弹性模量、黏结法向与切向刚度比、黏结内聚力、黏结内摩擦角、黏结抗拉强度和摩擦系数等6个细观参数为输出层的神经网络模型,对比分析了考虑与不考虑裂纹分形维数时平行黏结模型细观参数标定效果。研究结果表明:(1)所建立的神经网络模型具有较好的收敛速度、预测精度与泛化性能,测试集输出数据与期望值误差约为3.34%。(2)将裂纹分形维数纳入神经网络模型后,数值模拟所得弹性模量、峰值应力与泊松比等宏观参数与室内试验结果的误差小于3.00%,优于不考虑裂纹分形维数标定结果。(3)该方法可定量保障数值模拟所得裂纹不规则性与室内试验结果的一致性,其在一定程度上可视为对现有神经网络模型细观参数标定结果的修正。研究成果可为提高平行黏结模型细观参数标定效果提供新思路。 展开更多
关键词 分形维数 颗粒流 平行黏结模型 参数标定 神经网络
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物理信息神经网络在水文地质与工程地质中的应用研究综述
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作者 朱琳 钱陈之皓 +3 位作者 宫辉力 郭涛 李帅 叶淼 《水利水电技术(中英文)》 北大核心 2025年第7期13-25,共13页
【目的】在水文地质与工程地质研究中,传统机理数值模型在模拟复杂物理过程时存在建模精度低、不确定性等问题,机器学习模型则存在数据需求量大和可解释性差的不足。物理信息神经网络(Physics-Informed Neural Networks,PINNs)作为一种... 【目的】在水文地质与工程地质研究中,传统机理数值模型在模拟复杂物理过程时存在建模精度低、不确定性等问题,机器学习模型则存在数据需求量大和可解释性差的不足。物理信息神经网络(Physics-Informed Neural Networks,PINNs)作为一种结合物理定律和机器学习的新方法,能够为解决上述问题提供可行的方案。【方法】首先,通过整理近四年文献,系统梳理机理数值模型、机器学习模型以及机理-学习耦合模型在水文地质与工程地质领域的研究现状;其次,深入分析PINNs在该领域的最新应用;最后,阐述了PINNs在水文地质与工程地质领域发展中存在的问题,并对其今后的发展给出相关建议。【结果】研究发现,在水文地质与工程地质领域,PINNs部分解决了数值模型和机器学习模型中存在的数据稀缺、可解释性差和泛化性不足的问题,拥有广阔的应用前景。今后需要进一步解决其在鲁棒性、自适应权重分配和初边界条件处理方面的问题,深入挖掘其潜力。【结论】在未来研究中,建议耦合生成式模型或强化学习等模型,减少因数据质量和噪声对模型的影响,提高PINNs的鲁棒性;使用自适应学习算法和动态权重平衡机制,平衡损失函数各项权重,使PINNs模型输出矩阵满足正交条件,提高PINNs模型的计算效率;综合实际情况,选择优化激活函数、约束方式等,使PINNs模型收敛速度更快,结果更为精准。 展开更多
关键词 物理信息神经网络 数值模型 机器学习 耦合模型 地下水 水文地质 数值模拟 工程地质
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中国采矿业隐含碳流动时空演变格局及减排路径
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作者 杨玮 郭嫚雨 +2 位作者 龙涛 邓莎 王茜茜 《金属矿山》 北大核心 2025年第6期284-292,共9页
追踪贸易隐含碳排放对于实现国家“双碳”目标至关重要。然而,跨区域与部门间隐含碳流动特征及路径的识别面临诸多挑战,阻碍了减排进程。采矿业作为高碳排放密集型行业,其在跨省贸易中的隐含碳流动趋势及关键减排路径仍待进一步研究。... 追踪贸易隐含碳排放对于实现国家“双碳”目标至关重要。然而,跨区域与部门间隐含碳流动特征及路径的识别面临诸多挑战,阻碍了减排进程。采矿业作为高碳排放密集型行业,其在跨省贸易中的隐含碳流动趋势及关键减排路径仍待进一步研究。为了解决上述问题,研究基于时空视角,利用中国2012、2015及2017年的多区域投入产出表(MRIO),构建了中国采矿业隐含碳转移网络分析框架,系统考察了采矿业隐含碳流动的演变趋势、空间分布特征及其减排路径。结果表明:(1)中国采矿业因能源消费产生的二氧化碳排放量总体呈下降趋势,其中原煤燃烧贡献的排放量最高;(2)采矿业的直接与隐含碳排放虽呈现收敛态势,但行业整体处于隐含碳净流出状态,其主要上游部门依次为S8(石油、炼焦产品和核燃料加工品)、S11(金属冶炼和压延加工品)、S20(电力、热力的生产和供应)及S24(交通运输、仓储和邮政业);(3)江苏、广东、河南、陕西、山东、河北、山西等省份具有较高的网络中心性,是采矿业减排的关键区域。隐含碳流动量最大的路径为陕西至浙江,达357.06万t;本研究旨在为采矿业乃至整个经济体系的绿色低碳转型提供科学依据与实践参考,助力构建人与自然和谐共生的现代化矿业发展模式。 展开更多
关键词 采矿业 多区域投入产出模型(MRIO) 复杂网络 隐含碳流动
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基于DPM-VOF耦合的高铅渣底吹还原炉内多相流动数值模拟
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作者 闫红杰 黄正宗 +2 位作者 郝澳 夏韬 刘柳 《中国有色金属学报》 北大核心 2025年第2期607-620,共14页
高铅渣底吹还原炉内天然气-熔体或载气-熔体-煤粉构成的多相体系复杂行为与熔炼效率和系统产能紧密相关。本文基于DPM-VOF耦合模型,研究了工业尺度的高铅渣底吹还原炉内分别以天然气和煤粉为还原剂的气-液两相流和气-液-固多相流复杂行... 高铅渣底吹还原炉内天然气-熔体或载气-熔体-煤粉构成的多相体系复杂行为与熔炼效率和系统产能紧密相关。本文基于DPM-VOF耦合模型,研究了工业尺度的高铅渣底吹还原炉内分别以天然气和煤粉为还原剂的气-液两相流和气-液-固多相流复杂行为。结果表明:天然气作还原剂时,炉膛两端熔体流速平缓,喷枪区域流速剧烈,呈“脉冲状”分布;喷枪附近压力呈两侧大、中间小的“V”字形分布;喷枪区域压力波动剧烈,虽可强化气液搅拌过程但易造成喷枪损坏和熔体喷溅。采用煤粉作还原剂时,煤粉从喷枪喷出后最初分布在气团内部和气液交界面处,随后扩散至熔池中上部和烟气区域;熔池内煤粉分布在0.25~0.85 m深度范围;喷枪附近煤粉浓度相近,均未出现沉积现象。 展开更多
关键词 底吹还原炉 多相流 DPM-VOF模型 数值模拟 直接炼铅工艺
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“患贫”还是“患不均”?——收入水平、收入分化对劳动力流动网络的因果效应
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作者 王群勇 孙倩 《人口与经济》 北大核心 2025年第2期85-103,共19页
以往文献更多关注收入水平对劳动力流动的影响,忽略了收入分化及其网络效应。基于2011—2017年中国流动人口动态监测调查数据,构建劳动力流动网络,运用时间指数随机图模型(TERGM)与反事实模拟研究了区域收入水平与区域收入分化对劳动力... 以往文献更多关注收入水平对劳动力流动的影响,忽略了收入分化及其网络效应。基于2011—2017年中国流动人口动态监测调查数据,构建劳动力流动网络,运用时间指数随机图模型(TERGM)与反事实模拟研究了区域收入水平与区域收入分化对劳动力流动网络的复杂影响。研究表明:劳动力患贫更患不均,劳动力流向高收入地区,同时从收入高分化地区流向相对平等的地区,收入分化对于劳动力流出的作用尤为显著,相比于提高地区收入水平,改善分化更有助于缓解流失。高技能和低技能劳动力存在异质性,高技能劳动力重视收入水平,倾向于流向高收入地区,对收入分化不敏感;而低技能劳动力不仅受收入水平影响,区域的收入分化水平对其具有更大的驱动作用。反事实模拟显示,若东北地区的基尼系数下降一个标准差,则劳动力流出减少约22万人,流入增加约6万人;当人均收入提高一个标准差,则劳动力流出减少约12万人,流入增加约4万人。人均收入对劳动力流动的影响更为复杂,如果没有基尼系数的改善,只有收入水平提高不一定改善劳动力流失的状况。结论揭示了收入与劳动力流动之间的复杂关系,为劳动力流动网络演化研究提供了新的视角,对于区域协调发展和人口高质量发展具有重要的政策借鉴意义。 展开更多
关键词 劳动力流动网络 收入效应 时间指数随机图模型 网络因果效应 反事实模拟
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基于改进SSA-BPNN的煤层气直井井底流压预测研究
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作者 余洋 董银涛 +3 位作者 李云波 包宇 张立侠 孙浩 《油气藏评价与开发》 北大核心 2025年第2期250-256,共7页
煤层气资源广泛应用直井开发,采用控压控水的排采制度,井底流压是排采方案设计与设备选型的重要参数,因此,煤层气直井井底流压预测具有重要的意义。为了便捷、准确地预测煤层气直井井底流压,指导煤层气井的控压排采,引入机器学习领域中... 煤层气资源广泛应用直井开发,采用控压控水的排采制度,井底流压是排采方案设计与设备选型的重要参数,因此,煤层气直井井底流压预测具有重要的意义。为了便捷、准确地预测煤层气直井井底流压,指导煤层气井的控压排采,引入机器学习领域中的反向传播神经网络(BPNN)模型,同时对麻雀搜索算法(SSA)进行改进,耦合构建基于改进麻雀搜索算法-反向传播神经网络(SSA-BPNN)的煤层气直井井底流压预测模型。选取了生产现场常规测量的5个影响井底流压的参数作为井底流压预测模型的输入参数,相对应的井底流压数值作为井底流压预测模型的输出参数。将600组实测数据划分为训练集、验证集与测试集,完成了煤层气直井井底流压预测模型的建立与校验工作。BPNN模型与改进SSA-BPNN模型的验证集平均绝对百分比误差分别为3.10%与0.53%,可以看出利用改进SSA与BPNN的耦合建模,能够解决BPNN易陷于局部最优的问题,提高了煤层气直井井底流压的预测精度。同时将改进SSA-BPNN模型与遗传算法-支持向量回归机(GA-SVR)模型和物理模型解析方法进行对比,结果显示:3种不同模型的平均绝对百分比误差分别为1.318%、4.971%、18.156%,改进SSA-BPNN模型的误差最低,且在井底流压较低时,改进SSA-BPNN模型的预测精度显著提高,展现出较高的准确性与良好的适用性。改进SSA-BPNN模型仅需5个输入参数,减少了输入与计算参数的复杂度,且无须考虑井筒内流体分布情况,可覆盖排采各阶段,在不同压力区间都有较高准确性。 展开更多
关键词 煤层气 麻雀搜索算法 神经网络 井底流压 预测模型
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基于BP神经网络的咸水黏度预测及其对渗流的影响
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作者 李涛 美合日阿依·穆太力普 +2 位作者 薛福生 李延静 敬嘉珩 《油气地质与采收率》 北大核心 2025年第1期152-161,共10页
在碳中和背景下,采用CO_(2)咸水层封存技术来实现碳减排目标时,咸水黏度对储层中的CO_(2)-咸水两相渗流过程有着直接的影响。目前,基于压力影响的黏度预测方法仍有待完善。使用最小二乘法、BP神经网络和基于遗传算法的BP神经网络,将咸... 在碳中和背景下,采用CO_(2)咸水层封存技术来实现碳减排目标时,咸水黏度对储层中的CO_(2)-咸水两相渗流过程有着直接的影响。目前,基于压力影响的黏度预测方法仍有待完善。使用最小二乘法、BP神经网络和基于遗传算法的BP神经网络,将咸水黏度分别当作温度、质量摩尔浓度的二元函数以及温度、质量摩尔浓度、压力的三元函数优化了现有的计算方法,建立了考虑压力影响的黏度预测优化模型。在获得最佳的预测方式后,基于COMSOL软件的水平集方法系统分析了黏度对渗流的影响。研究结果表明,采用最小二乘法可以对现有的经验公式进行一定优化,但是效果不明显;采用二元BP神经网络可以将预测精度提高45.20%,考虑压力后采用三元BP神经网络可以将预测精度提高57.32%。因此,在实验数据充足的情况下,基于BP神经网络模型可以得到较大压力范围内可靠的咸水黏度值;由于经验公式法能够预测黏度变化趋势,在缺乏相应实验数据的情况下,可通过经验公式法获得咸水黏度值。此外,通过仿真结果可以发现,黏度会影响流体在流道的分布,进而影响流动速度,黏度比越大,出口平均速度波动越小且更快地趋于平稳;而且黏度比越大,残余水饱和度越小,越有利于驱替过程的进行,二者呈对数函数的关系。 展开更多
关键词 咸水黏度 BP神经网络 压力 渗流模拟 CO_(2)咸水层封存
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基于人工神经网络和迁移学习的行人流建模方法
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作者 张金虎 谢磊 +1 位作者 成梦洁 刘少博 《上海大学学报(自然科学版)》 北大核心 2025年第2期299-315,共17页
行人流仿真对于解决大型交通场站等人群密集场所的拥挤和安全问题发挥了重要作用,但目前广泛使用的行人流模型往往依赖人为假设的模型规则,导致模型参数缺乏现实依据以及标定困难、模型与实际不符等问题.近年来,基于人工神经网络的数据... 行人流仿真对于解决大型交通场站等人群密集场所的拥挤和安全问题发挥了重要作用,但目前广泛使用的行人流模型往往依赖人为假设的模型规则,导致模型参数缺乏现实依据以及标定困难、模型与实际不符等问题.近年来,基于人工神经网络的数据驱动模型能够更高精度地还原行人流在现实场景中的实际行为特征,但对训练数据的依赖性强,且存在对不同场景泛化能力弱等问题.为此,提出一种结合仿真数据和实验数据的BP(back propagation)人工神经网络行人流仿真模型训练方法,并定义了一套包含46个参数的新模型参数组合;然后利用仿真数据对模型进行预训练;最后结合实验数据对模型进行迁移学习.结果表明,用仿真数据预训练模型可有效弥补真实数据不足的缺陷,且模型迁移学习训练结果的R值超过0.96,均方误差低于0.003,证明了迁移学习在提高模型泛化能力和预测精度方面的有效性. 展开更多
关键词 智能交通 行人流建模仿真 BP(back propagation)神经网络 行人流实验 迁移学习
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