基于MOVES模型的污染物排放相关性分析

道路机动车排放是大气污染物的重要来源,同时也是量化评价最困难的污染源之一。目前,国内主要利用MOVES模型进行道路机动车排放预测,但在参数本地化时进行地理区域选择方面缺少深入分析,基于太原实际的道路交通流信息,共选取8个相近地理区域,模拟得出机动车CO,CH 4,NO_(x),PM_(2.5)污染物排放量,并运用SPSS进行污染物排放量与所选地理区域纬度和海拔相关性分析。结果显示:在纬度确定的情况下,海拔和污染物排放量不存在显著相关;在海拔确定的情况下,纬度和污染物CH 4,NO_(x),PM_(2.5)排放量不存在显著相关性,但与CO排放量存在显著相关性。

MOVES模型在城市交通碳减排评估中的应用

为准确评估城市道路交叉口信号优化的碳减排效果,在实际交通调查的基础上利用MOVES模型模拟信号优化后道路车辆污染物排放的变化,对交通管控的节能减排效应进行定量分析。结果表明:信号优化不仅能有效缓解交通拥堵,提高主干道交通流的速度,还能够不同程度降低不同污染物的排放总量,尤其是CO_(2)的排放量;虽然信号优化后不同污染物排放总量都在降低,但对于道路行驶的基数较小的车型,其污染物排放趋势有可能增加;不同污染物对信号优化的敏感性不同,因此减排效果不同,但相同车型的不同污染物的减排趋势相似。通过详细分析模型参数的本地化过程和排放结果,所研究的污染物排放测算方法更符合实际情况,可以为其他城市交通管控的减排效益研究提供参考,为城市的低碳绿色发展提供理论基础。

Numerical analysis of moving train induced vibrations on tunnel,surrounding ground and structure

This study is focused on the effect of vibration induced by moving trains in tunnels on the surrounding ground and structures.A three-dimensional finite element model is established for a one-track railway tunnel and an adjacent twelve-storey building frame by using commercial software Midas GTS-NX(2019)and Midas Gen.This study considered the moving load effect of a complete train,which varies with space as well as with time.The effect of factors such as train speed,overburden pressure on the tunnel and variation in soil properties are studied in the time domain.As a result,the variations in horizontal and vertical acceleration for two different sites,i.e.,the free ground surface(without structure)and the area containing the structure,are compared.Also,the displacement pattern of the raft foundation is plotted for different train velocities.At lower speeds,the heaving phenomenon is negligible,but as the speed increases,both the heaving and differential settlement increase in the foundation.This study demonstrates that the effect of moving train vibrations should be considered in the design of new nearby structures and proper ground improvement should be considered for existing structures.

Semi-analytical investigation of heat transfer in a porous convective radiative moving longitudinal fin exposed to magnetic field in the presence of a shape-dependent trihybrid nanofluid

The thermal examination of a non-integer-ordered mobile fin with a magnetism in the presence of a trihybrid nanofluid(Fe_3O_4-Au-Zn-blood) is carried out. Three types of nanoparticles, each having a different shape, are considered. These shapes include spherical(Fe_3O_4), cylindrical(Au), and platelet(Zn) configurations. The combination approach is utilized to evaluate the physical and thermal characteristics of the trihybrid and hybrid nanofluids, excluding the thermal conductivity and dynamic viscosity. These two properties are inferred by means of the interpolation method based on the volume fraction of nanoparticles. The governing equation is transformed into a dimensionless form, and the Adomian decomposition Sumudu transform method(ADSTM) is adopted to solve the conundrum of a moving fin immersed in a trihybrid nanofluid. The obtained results agree well with those numerical simulation results, indicating that this research is reliable. The influence of diverse factors on the thermal overview for varying noninteger values of γ is analyzed and presented in graphical representations. Furthermore, the fluctuations in the heat transfer concerning the pertinent parameters are studied. The results show that the heat flux in the presence of the combination of spherical, cylindrical, and platelet nanoparticles is higher than that in the presence of the combination of only spherical and cylindrical nanoparticles. The temperature at the fin tip increases by 0.705 759% when the value of the Peclet number increases by 400%, while decreases by 11.825 13% when the value of the Hartman number increases by 400%.

Numerical analysis of geosynthetic-reinforced embankment performance under moving loads

The performance of geosynthetic-reinforced embankments under traffic moving loads is always a hotspot in the geotechnical engineering field.A three-dimensional(3D)model of a geosynthetic-reinforced embankment without drainage consolidation was established using the finite element software ABAQUS.In this model,the traffic loads were simulated by two moving loads of rectangular pattern,and their amplitude,range,and moving speed were realized by a Fortran subroutine.The embankment fill was simulated by an equivalent linear viscoelastic model,which can reflect its viscoelasticity.The geogrid was simulated by the truss element,and the geocell was simulated by the membrane element.Infinite elements were utilized to weaken the boundary effect caused by the model geometry at the boundaries.Validation of the established numerical model was conducted by comparing the predicted deformations in the cross-section of the geosynthetic-reinforced embankment with those from the existing literature.On this basis,the dynamic stress and strain distribution in the pavement structure layer of the geosynthetic-reinforced embankment under a moving load was also analyzed.Finally,a parametric study was conducted to examine the influences of the different types of reinforcement,overload,and the moving load velocity on the geosynthetic-reinforced embankment.

Efficient 2-D MUSIC algorithm for super-resolution moving target tracking based on an FMCW radar

Frequency modulated continuous wave(FMCW)radar is an advantageous sensor scheme for target estimation and environmental perception.However,existing algorithms based on discrete Fourier transform(DFT),multiple signal classification(MUSIC)and compressed sensing,etc.,cannot achieve both low complexity and high resolution simultaneously.This paper proposes an efficient 2-D MUSIC algorithm for super-resolution target estimation/tracking based on FMCW radar.Firstly,we enhance the efficiency of 2-D MUSIC azimuth-range spectrum estimation by incorporating 2-D DFT and multi-level resolution searching strategy.Secondly,we apply the gradient descent method to tightly integrate the spatial continuity of object motion into spectrum estimation when processing multi-epoch radar data,which improves the efficiency of continuous target tracking.These two approaches have improved the algorithm efficiency by nearly 2-4 orders of magnitude without losing accuracy and resolution.Simulation experiments are conducted to validate the effectiveness of the algorithm in both single-epoch estimation and multi-epoch tracking scenarios.

Random vibration analysis of FGM plates subjected to moving load using a refined stochastic finite element method

The article introduces a finite element procedure using the bilinear quadrilateral element or four-node rectangular element(namely Q4 element) based on a refined first-order shear deformation theory(rFSDT) and Monte Carlo simulation(MCS), so-called refined stochastic finite element method to investigate the random vibration of functionally graded material(FGM) plates subjected to the moving load.The advantage of the proposed method is to use r-FSDT to improve the accuracy of classical FSDT, satisfy the stress-free condition at the plate boundaries, and combine with MCS to analyze the vibration of the FGM plate when the parameter inputs are random quantities following a normal distribution. The obtained results show that the distribution characteristics of the vibration response of the FGM plate depend on the standard deviation of the input parameters and the velocity of the moving load.Furthermore, the numerical results in this study are expected to contribute to improving the understanding of FGM plates subjected to moving loads with uncertain input parameters.

High-order Bragg forward scattering and frequency shift of low-frequency underwater acoustic field by moving rough sea surface

Acoustic scattering modulation caused by an undulating sea surface on the space-time dimension seriously affects underwater detection and target recognition.Herein,underwater acoustic scattering modulation from a moving rough sea surface is studied based on integral equation and parabolic equation.And with the principles of grating and constructive interference,the mechanism of this acoustic scattering modulation is explained.The periodicity of the interference of moving rough sea surface will lead to the interference of the scattering field at a series of discrete angles,which will form comb-like and frequency-shift characteristics on the intensity and the frequency spectrum of the acoustic scattering field,respectively,which is a high-order Bragg scattering phenomenon.Unlike the conventional Doppler effect,the frequency shifts of the Bragg scattering phenomenon are multiples of the undulating sea surface frequency and are independent of the incident sound wave frequency.Therefore,even if a low-frequency underwater acoustic field is incident,it will produce obvious frequency shifts.Moreover,under the action of ideal sinusoidal waves,swells,fully grown wind waves,unsteady wind waves,or mixed waves,different moving rough sea surfaces create different acoustic scattering processes and possess different frequency shift characteristics.For the swell wave,which tends to be a single harmonic wave,the moving rough sea surface produces more obvious high-order scattering and frequency shifts.The same phenomena are observed on the sea surface under fully grown wind waves,however,the frequency shift slightly offsets the multiple peak frequencies of the wind wave spectrum.Comparing with the swell and fully-grown wind waves,the acoustic scattering and frequency shift are not obvious for the sea surface under unsteady wind waves.

Evaluation of Moving Grid Adjustment (MGA) Method in Field Variation Control

Spatial variation is often encountered when large scale field trials are conducted which can result in biased estimation or prediction of treatment (i.e. genotype) values. An effective removal of spatial variation is needed to ensure unbiased estimation or prediction and thus increase the accuracy of field data evaluation. A moving grid adjustment (MGA) method, which was proposed by Technow, was evaluated through Monte Carlo simulation for its statistical properties regarding field spatial variation control. Our simulation results showed that the MGA method can effectively account for field spatial variation if it does exist;however, this method will not change phenotype results if field spatial variation does not exist. The MGA method was applied to a large-scale cotton field trial data set with two representative agronomic traits: lint yield (strong field spatial pattern) and lint percentage (no field spatial pattern). The results suggested that the MGA method was able to effectively separate the spatial variation including blocking effects from random error variation for lint yield while the adjusted data remained almost identical to the original phenotypic data. With application of the MGA method, the estimated variance for residuals was significantly reduced (62.2% decrease) for lint yield while more genetic variation (29.7% increase) was detected compared to the original data analysis subject to the conventional randomized complete block design analysis. On the other hand, the results were almost identical for lint percentage with and without the application of the MGA method. Therefore, the MGA method can be a useful addition to enhance data analysis when field spatial pattern exists.

A High-Accuracy Curve Boundary Recognition Method Based on the Lattice Boltzmann Method and Immersed Moving Boundary Method

Applying numerical simulation technology to investigate fluid-solid interaction involving complex curved bound-aries is vital in aircraft design,ocean,and construction engineering.However,current methods such as Lattice Boltzmann(LBM)and the immersion boundary method based on solid ratio(IMB)have limitations in identifying custom curved boundaries.Meanwhile,IBM based on velocity correction(IBM-VC)suffers from inaccuracies and numerical instability.Therefore,this study introduces a high-accuracy curve boundary recognition method(IMB-CB),which identifies boundary nodes by moving the search box,and corrects the weighting function in LBM by calculating the solid ratio of the boundary nodes,achieving accurate recognition of custom curve boundaries.In addition,curve boundary image and dot methods are utilized to verify IMB-CB.The findings revealed that IMB-CB can accurately identify the boundary,showing an error of less than 1.8%with 500 lattices.Also,the flow in the custom curve boundary and aerodynamic characteristics of the NACA0012 airfoil are calculated and compared to IBM-VC.Results showed that IMB-CB yields lower lift and drag coefficient errors than IBM-VC,with a 1.45%drag coefficient error.In addition,the characteristic curve of IMB-CB is very stable,whereas that of IBM-VC is not.For the moving boundary problem,LBM-IMB-CB with discrete element method(DEM)is capable of accurately simulating the physical phenomena of multi-moving particle flow in complex curved pipelines.This research proposes a new curve boundary recognition method,which can significantly promote the stability and accuracy of fluid-solid interaction simulations and thus has huge applications in engineering.

Prediction and Output Estimation of Pattern Moving in Non-Newtonian Mechanical Systems Based on Probability Density Evolution

A prediction framework based on the evolution of pattern motion probability density is proposed for the output prediction and estimation problem of non-Newtonian mechanical systems,assuming that the system satisfies the generalized Lipschitz condition.As a complex nonlinear system primarily governed by statistical laws rather than Newtonian mechanics,the output of non-Newtonian mechanics systems is difficult to describe through deterministic variables such as state variables,which poses difficulties in predicting and estimating the system’s output.In this article,the temporal variation of the system is described by constructing pattern category variables,which are non-deterministic variables.Since pattern category variables have statistical attributes but not operational attributes,operational attributes are assigned to them by posterior probability density,and a method for analyzing their motion laws using probability density evolution is proposed.Furthermore,a data-driven form of pattern motion probabilistic density evolution prediction method is designed by combining pseudo partial derivative(PPD),achieving prediction of the probability density satisfying the system’s output uncertainty.Based on this,the final prediction estimation of the system’s output value is realized by minimum variance unbiased estimation.Finally,a corresponding PPD estimation algorithm is designed using an extended state observer(ESO)to estimate the parameters to be estimated in the proposed prediction method.The effectiveness of the parameter estimation algorithm and prediction method is demonstrated through theoretical analysis,and the accuracy of the algorithm is verified by two numerical simulation examples.

Qingdao Recommendations for the Protection and Return of Cultural Objects Removed from Colonial Contexts or Acquired by Other Unjustifiable or Unethical Means

The International Conference on the Protection and Return of Cultural Objects Removed from Colonial Contexts was held in Qingdao,China on June 20,2024.representatives from 28 countries and 2 international organizations attended the conference or shared ideas and communicated through video.

Nonlinear dynamic modeling of planar moving Timoshenko beam considering non-rigid non-elastic axial effects

Due to the importance of vibration effects on the functional accuracy of mechanical systems,this research aims to develop a precise model of a nonlinearly vibrating single-link mobile flexible manipulator.The manipulator consists of an elastic arm,a rotary motor,and a rigid carrier,and undergoes general in-plane rigid body motion along with elastic transverse deformation.To accurately model the elastic behavior,Timoshenko’s beam theory is used to describe the flexible arm,which accounts for rotary inertia and shear deformation effects.By applying Newton’s second law,the nonlinear governing equations of motion for the manipulator are derived as a coupled system of ordinary differential equations(ODEs)and partial differential equations(PDEs).Then,the assumed mode method(AMM)is used to solve this nonlinear system of governing equations with appropriate shape functions.The assumed modes can be obtained after solving the characteristic equation of a Timoshenko beam with clamped boundary conditions at one end and an attached mass/inertia at the other.In addition,the effect of the transverse vibration of the inextensible arm on its axial behavior is investigated.Despite the axial rigidity,the effect makes the rigid body dynamics invalid for the axial behavior of the arm.Finally,numerical simulations are conducted to evaluate the performance of the developed model,and the results are compared with those obtained by the finite element approach.The comparison confirms the validity of the proposed dynamic model for the system.According to the mentioned features,this model can be reliable for investigating the system’s vibrational behavior and implementing vibration control algorithms.

Review on dynamic analysis of road pavements under moving vehicles and plane strain conditions

This paper reviews works on the dynamic analysis of flexible and rigid pavements under moving vehicles on the basis of continuum-based plane strain models and linear theories.The purpose of this review is to provide in-formation about the existing works on the subject,critically discuss them and make suggestions for further research.The reviewed papers are presented on the basis of the various models for pavement-vehicle systems and the various methods for dynamically analyzing these systems.Flexible pavements are modeled by a homogeneous or layered half-plane with isotropic or anisotropic and linear elastic,viscoelastic or poroelastic material behavior.Rigid pavements are modeled by a beam or plate on a homogeneous or layered half-plane with material properties like the ones for flexible pavements.The vehicles are modeled as concentrated or distributed over a finite area loads moving with constant or time dependent speed.The above pavement-vehicle models are dynamically analyzed by analytical,analytical/numerical or purely numerical methods working in the time or frequency domain.Representative examples are presented to illustrate the models and methods of analysis,demonstrate their merits and assess the effects of the various parameters on pavement response.The paper closes with con-clusions and suggestions for further research in the area.The significance of this research effort has to do with the presentation of the existing literature on the subject in a critical and easy to understand way with the aid of representative examples and the identification of new research areas.

Nanofluid Flow across aMoving Plate under Blasius-Rayleigh-Stokes(BRS)Variable Transport Fluid Characteristics

This investigation aims to analyze the effects of heat transport characteristics in the unsteady flow of nanofluids over a moving plate caused by a moving slot factor.The BRS variable is utilized for the purpose of analyzing these characteristics.The process of mathematical computation involves converting the governing partial differential equations into ordinary differential equations that have suitable similarity components.The Keller-Box technique is employed to solve the ordinary differential equations(ODEs)and derive the corresponding mathematical outcomes.Figures and tables present the relationship between growth characteristics and various parameters such as temperature,velocity,skin friction coefficient,concentration,Sherwood number,and Nusselt number.The results are assessed by comparing them to previous findings.The observation reveals that higher dimensionless reference temperature and variable values of the moving slot parameter have a suppressing effect on the velocity and temperature patterns of nanofluids.Higher values of the dimensionless reference temperature and moving slot parameter lead to enhancements in the Sherwood number,skin friction coefficient,and Nusselt number.The conductivity of the nanofluid is ultimately affected by these enhancements.

A Method to Obtain the Moving Speed of Uncooperative Target Based on Only Two Measurements

The existing research results show that a fixed single station must conduct three consecutive frequency shift measurements and obtain the target’s moving speed by constructing two frequency difference equations. This article proposes a new method that requires only two consecutive measurements. While using the azimuth measurement to obtain the angular difference between two radial distances, it also conducts two consecutive Doppler frequency shift measurements at the same target azimuth. On the basis of this measurement, a frequency difference equation is first constructed and solved jointly with the Doppler frequency shift equation. By eliminating the velocity variable and using the measured angular difference to obtain the target’s lead angle, the target’s velocity can be solved by using the Doppler frequency shift equation again. The new method avoids the condition that the target must move equidistantly, which not only provides an achievable method for engineering applications but also lays a good foundation for further exploring the use of steady-state signals to achieve passive positioning.

滞动针干预“激痛点”对肌筋膜疼痛综合征模型大鼠中枢镇痛的作用机制

背景:滞动针治疗肌筋膜疼痛综合征的镇痛效果显著,但镇痛机制尚不明确。目的:探索滞动针干预激痛点缓解肌筋膜疼痛综合征疼痛的作用机制。方法:按照随机数字表法将54只SD大鼠随机分为空白组(n=16)和造模组(n=38),造模组采用“打击结合离心运动”方式制备左侧股内侧肌筋膜疼痛综合征模型,造模12周后随机挑选6只验证造模成功,将剩余32只造模大鼠随机分为模型组(n=16)与滞动针组(n=16),使用滞动针对滞动针组大鼠左侧股内侧肌局部激痛点进行干预治疗,2次/周,治疗4周。造模前后及治疗后进行左足机械缩足阈值测定;治疗后第4周,苏木精-伊红染色观察大鼠左侧股内侧肌肌肉组织形态学变化,ELISA法检测血清和中脑导水管周围灰质中P物质、β-内啡肽水平,免疫组化检测中脑导水管周围灰质中小胶质细胞标志物(Iba-1)和c-fos阳性表达,Western Blot检测中脑导水管周围灰质脑源性神经营养因子蛋白表达。结果与结论:①与空白组比较,造模后模型组、滞动针组大鼠机械缩足阈值降低(P<0.05);治疗4周后,滞动针组大鼠机械缩足阈值高于模型组(P<0.05);②苏木精-伊红染色结果显示,模型组肌纤维排列紊乱、粗细不等,肌细胞增大并出现核内移现象,细胞内出现圆形挛缩结节以及紧张带;滞动针组肌纤维排列整齐,肌细胞多呈角状,细胞内偶见挛缩结节;③与空白组比较,模型组血清中P物质水平升高(P<0.05),血清中β-内啡肽及脑中P物质、β-内啡肽水平均降低(P<0.05);与模型组比较,滞动针组血清中P物质水平降低(P<0.05),血清中β-内啡肽及脑中P物质、β-内啡肽水平均升高(P<0.05);④与空白组比较,模型组c-fos、Iba-1阳性表达及脑源性神经营养因子蛋白均升高(P<0.05);与模型组比较,滞动针组c-fos阳性表达升高(P<0.05),Iba-1阳性表达及脑源性神经营养因子蛋白均降低(P<0.05);(5)结果表明,滞动针可能通过抑制中脑导水管周围灰质小胶质细胞的活性、下调脑源性神经营养因子蛋白表达间接促进小胶质细胞向M2表型极化释放β-内啡肽、增加c-fos神经元兴奋性,从而降低中枢致敏程度,有效缓解肌筋膜疼痛综合征疼痛的症状。

基于MOVES模型的西安市机动车排放清单研究

利用本地化修正的MOVES模型结合实地调研数据,测算了西安市机动车排放清单,并对各种污染物的排放分担率进行了分析。结果表明:2012年西安市机动车的PM_(2.5)、PM_(10)、NO_x、总碳氢化合物(THC)、CO、挥发性有机物(VOCs)、NH_3和SO_2排放总量分别为1 890.48、2 668.89、40 847.75、19 413.30、217 103.04、15 244.86、539.76、2 087.50 t;中型货车和重型货车是PM_(2.5)、PM_(10)和NOx的主要贡献者,小型客车和摩托车是THC、CO和VOCs的主要贡献者,小型客车是NH_3的主要贡献者,小型客车与重型货车对SO_2的排放分担率均较高;柴油车对PM_(2.5)、PM_(10)、NO_x和SO_2的排放分担率高于汽油车,而汽油车对THC、CO、VOCs和NH_3的分担率则高于柴油车;CO在冬季排放最多,其余污染物的排放均在夏季最多,但污染物的季节变化总体上不明显。

综合移动源排放模型——MOVES

美国环保局发布了新一代移动源排放测算模型MOVES2010,该模型代表着排放模型开发的最新技术和研究方向。文中分析了MOVES的开发背景和系统组成,阐述了模型的基本计算原理和主体框架,从模型结构、输入输出、计算原理和结果等角度对MOVES和目前广泛使用的排放模型MOBILE6进行了对比。

基于MOVES的高速公路纵坡段载重柴油车辆碳排放预测模型的研究

为研究高速公路纵坡路段的碳排放规律,以西安绕城高速为依托工程进行现场试验,采用MOVES进行碳排放模拟,并利用试验核算的碳排放数据评估模拟结果。基于MOVES模型得到我国高速公路不同纵坡情况下的碳排量数据库文件,建立高速公路纵坡路段的载重汽车的碳排放模型,并对碳排放模型进行敏感性分析。研究结果表明:高速公路纵坡路段的碳排放量以初速度、坡度、坡长为自变量作多元非线性函数形式的变化;高速公路上坡路段是机动车产生碳排放的主要路段,累计碳排量对坡度i_(上坡_∈[3%,6%]的敏感性居第一位次,对坡长l_(上坡)的敏感性居第二位次,反映出路线设计过程应尽量采用较小纵坡,避免长大纵坡的设计方案;在高速公路下坡路段,累计碳排放对坡度i_(下坡)∈[-3%,-6%]的变化最敏感,坡长次之。