用于脉冲等离子体推力器烧蚀过程仿真的新型机电模型

用于脉冲等离子体推力器(PPT)工作过程仿真的一维机电模型, 具有模型简单、计算周期短等优点, 在PPT设计过程中得到了广泛应用. 本文针对机电模型假设工质烧蚀质量为常数和不考虑烧蚀过程这一局限, 提出了一种采用Teflon一维烧蚀模型计算工质烧蚀质量的改进模型, 并以LES-6 PPT为研究对象进行了仿真. 通过与LES-6 PPT实验数据进行对比, 仿真结果与实验数据符合, 充分验证了模型的可靠性. 此模型能够对Teflon工质在PPT工作过程中的温度变化和烧蚀过程进行仿真, 弥补了机电模型忽略烧蚀过程对仿真结果所造成的影响, 同时, 此模型依然保持了机电模型简单易于实现的优点, 对于脉冲等离子体推力器的设计具有重要意义. 关键词： 脉冲等离子体推力器 机电模型 烧蚀模型 数值仿真     

结合人工神经网络的翅片管式冷凝器快速仿真模型

为了提高翅片管式冷凝器仿真精度和计算速度，提出了含基本数学模型与两个神经网络的复合冷凝器模型．基本数学模型采用分区集中参数模型，简化用神经网络用以反映分区集中参数模型与分布参数模型间的非线性关系，精度改进用神经网络通过分析比较模型与实验值的差别，提高复合模型的精度．实际应用表明，复合模型的计算速度比分布参数     

Application of the conditional source-term estimation model for turbulence–chemistry interactions in a premixed flame

Conditional Source-term Estimation (CSE) is a closure model for turbulence–chemistry interactions. This model uses the first-order CMC hypothesis to close the chemical reaction source terms. The conditional scalar field is estimated by solving an integral equation using inverse methods. It was originally developed and has been used extensively in non-premixed combustion. This work is the first application of this combustion model for a premixed flame. CSE is coupled with a Trajectory Generated Low-Dimensional Manifold (TGLDM) model for chemistry. The CSE-TGLDM combustion model is used in a RANS code to simulate a turbulent premixed Bunsen burner. Along with this combustion model, a similar model which relies on the flamelet assumption is also used for comparison. The results of these two approaches in the prediction of the velocity field, temperature and species mass fractions are compared together. Although the flamelet model is less computationally expensive, the CSE combustion model is more general and does not have the limiting assumption underlying the flamelet model.     

基于Roujean和Ross-Li模型算法的不同户外光照南疆冬枣BRDF特性研究

不同光照下,如何消除或减小反演数据差异,提高检测精度,是目前南疆冬枣户外检测中遇到的一大难题,因此通过用高光谱相机获得的南疆冬枣二向反射分布函数（BRDF）测量值,采用最小二乘法拟合Roujean模型和Ross-Li模型的参数,最后对比Roujean模型和Ross-Li模型反演的结果,提出何种天气何段波长用何种模型反演效果最好的建议,实验结果表明：（1）多云天气,反演南疆冬枣线偏振度（Dolp）时,Ross-Li模型的R2是0.974 8,Roujean模型的R2是0.969 9;反演南疆冬枣强度分量时,Ross-Li模型的R2是0.972 3,Roujean模型的R2是0.974 9。阴天反演南疆冬枣Dolp时,Ross-Li模型的R2是0.965 1,Roujean模型的R2是0.977 8;反演南疆冬枣强度分量时,Ross-Li模型的R2是0.942 0,Roujean模型的R2是0.968 8。晴天反演南疆冬枣Dolp时,Ross-Li模型的R2是0.965 5,Roujean模型的R2是0.926 2;反演南疆冬枣强度分量时,Ross-Li模型的R2是0.928 5,Roujean模型的R2是0.833 1。整体反演的最佳方案是多云天气下的南疆冬枣Dolp用Ross-Li模型反演,强度分量用Roujean模型反演;晴天南疆冬枣Dolp和强度分量均用Ross-Li模型反演;阴天南疆冬枣Dolp和强度分量均用Roujean模型反演。（2）多波段反演的最佳方案是：多云天气下,反演南疆冬枣强度分量时,波长为1 000~1 100 nm范围,需用Ross-Li模型,波长为1 450~1 600 nm范围,需用Roujean模型,其余波段处两种模型均可;反演南疆冬枣Dolp时,在波长为1 300 nm附近,需用Ross-Li模型,其余波段处两种模型均可。阴天反演南疆冬枣强度分量时,在1 000~1 350 nm范围,需用Roujean模型,在1 600 nm附近,需用Ross-Li模型,其余波段处两种模型均可;反演南疆冬枣Dolp时,在1 000~1 350 nm范围,需用Roujean模型,在1 600 nm附近,需用Ross-Li模型。晴天反演南疆冬枣强度分量时,波长为1 000~1 350和1 600 nm附近,需用Ross-Li模型,其余波段处则无特殊要求;反演南疆冬枣Dolp时,在1 000 nm附近,需用Roujean模型,在1 600 nm附近,需用Ross-Li模型。探索出消除或减小反演数据差异的方法,为南疆冬枣户外检测提高精度奠定基础。     

A dual model strategy to transfer multivariate calibration models for near-infrared spectral analysis

A dual-model method is proposed for correcting the calibration model. In the method, a primary calibration model is built using the spectra of a primary instrument and a correction model is established to describe the ratios between the predicted results from the spectra of different instruments. The prediction for the spectra of secondary instrument can be achieved by correcting the prediction of the primary model. A mathematical proof is described for the existence of the correction model, and the model is investigated using a near-infrared spectroscopic dataset of plant leaf samples measured on two instruments. The results show that a precise correction model is obtained and the model can be used to correct the predictions of the primary model. The correlation coefficients between the predicted and the reference ratios are above 0.9, and the prediction error after the correction is at the same level of the primary model.     

Ta及Nanbu库仑碰撞模型数值对比研究

深入研究库仑碰撞,对两种库仑碰撞模型-Ta模型与Nanbu模型在理论上进行了对比分析,详细阐述了两种模型中散射角大小的区别.在已有的采用Ta模型的全三维粒子模拟/蒙特长罗(PIC/MCC)算法基础上,采用Nanbu模型对电子间库仑碰撞计算模块重新进行了算法设计.分别应用Ta模型、Nanbu模型和无库仑碰撞的全三维PIC/MCC算法对国外热门负氢离子源JAEA 10A中的电子能量沉积进行了模拟分析.模拟结果与实验结果的对比分析发现:1)库仑碰撞使电子能量分布更接近于麦克斯韦分布;2)相对于传统的Ta模型,Nanbu模型的散射角考虑了多体碰撞的累加效果从而具有更高的期望值,按其模拟得到的电子温度具有更高的精度.这些为国内外学者设计相关算法指明了方向.     

Modeling NMR Lineshapes Using Logspline Density Functions

Distortions in the FID and spin echo due to magnetic field inhomogeneity are proved to have a representation as the characteristic function of some probability distribution. In the special case that the distribution is Cauchy, the model reduces to the conventional Lorentzian model. A more general and flexible representation is presented using the Fourier transform of a logspline density. An algorithm for fitting the model is described, the performance of the model and algorithm is investigated in applications to real and simulated data sets, and the logspline approach is compared to a previous Hermitian spline approach and to the Lorentzian model. The logspline model is more parsimonious than the Hermitian spline model, provides a better fit to real data, and is much less biased than the Lorentzian model.     

包含液相扩散方程简化的锂离子电池电化学模型

锂离子电池的电化学模型对于电池特性分析和电池管理具有重要意义,但是准二维(P2D)模型复杂度太高,为了在保证模型精度的基础上尽量降低复杂度,本文提出了一种包含液相简化的P2D (LSP2D)模型,该模型首先基于电化学平均动力学将电池端电压化简成为仅耦合固相Li+浓度c_s和液相Li+浓度c_e的方程,然后进一步对表达c_s和c_e演化规律的偏微分方程进行抛物线近似化简,使得最终的模型由多项式组成.COMSOL仿真表明在放电倍率为1C时该模型与单粒子(SP)模型的估算精度和速度相当,但在放电倍率为3C时,该模型的估算时间比P2D模型减少了99.73%,与SP模型相当,估算精度相比SP模型有大幅度提升.     

Efficient molecular model for squeeze-film damping in rarefied air

Based on the energy transfer model(ETM) proposed by Bao et al.and the Monte Carlo(MC) model proposed by Hutcherson and Ye, this paper proposes an efficient molecular model(MC-S) for squeeze-film damping(SQFD) in rarefied air by releasing the assumption of constant molecular velocity in the gap.Compared with the experiment data, the MC-S model is more efficient than the MC model and more accurate than ETM.Besides, by using the MC-S model, the feasibility of the empirical model proposed by Sumali for SQFD of different plate sizes is discussed.It is proved that, for various plate sizes, the accuracy of the empirical model is relatively high.At last, the SQFD of various vibration frequencies is discussed, and it shows that, for low vibration frequency, the MC-S model is reduced to ETM.     

A Simplified Neuronal Model for the Instigation and Propagation of Cortical Spreading Depression

In this paper, we construct a simplified neuronal model that is capable of simulating the instigation of cortical spreading depression (CSD) and propagation of a CSD wave. Our model is a simplification and extension of a single neuron model proposed in the literature for studying the instigation of CSD. Using the simplified neuronal model, we construct a network of these simplified neurons. This network model shows that the propagation of a CSD wave occurs naturally after it is instigated electrically or chemically. Although the model is simple, the speed of the CSD wave predicted by our model is consistent with experimentally observed values. Finally, our model allows us to investigate the effects of specific ion channels on the spread of a CSD wave.     

一种实用型粗糙面六参数双向反射分布函数模型

通过对五参数半经验双向反射分布函数(BRDF)模型进行修改,并吸收其它模型的优点,提出了一个六参数BRDF模型,该模型形式更简单,拟合效果更好,并且模型满足了能量守恒和互易性,使该模型更趋于实用化。利用模拟退火算法对多种不同样片的BRDF进行了拟合建模,获得了相应模型的参数值和偏差,结果证明了该模型的正确性,尤其适合对散射特性较弱样片BRDF的拟合建模。对于散射特性较弱的样片,与常用的五参数模型进行了比较,该模型的漫反射部分拟合效果更好,总体精度还略有提高。最后,为了更直观地表示目标样片的BRDF,分别给出了各个角度BRDF的三维拟合图。     

非对称黏性空气动力学声带模型及其病理喉声源分类

二质量块模型(SH模型)在模拟病理发声时未考虑弹性力对发声系统的影响,也未考虑黏性气流在声门闭合阶段的作用,本文提出一种非对称黏性空气动力学声带模型(ISAC模型)。对非对称振动时的附加弹性系数和弹性形变进行分析,修正质量块所受的碰撞力,随位移量变化调节原始模型中的劲度系数,模拟环甲肌和甲杓肌的张力作用;通过声门倾角变化得到声门处的气流分布,以实现声带壁上的非对称气流压力作用。该模型应用于发声病理诊断,模型仿真和病理喉声源分类识别的实验结果显示,各声门特征参数相对误差不超过1.5%,ISAC模型的加权平均误差低于SH模型,二分类识别率和细分准确率均高于SH模型。      

考虑碳粒表面还原反应的移动火焰锋面(MFF)模型

在原始移动火焰锋面(MFF)模型的基础上,提出一种考虑碳粒表面还原反应的改进MFF模型。该模型给出了包括表面还原反应和 CO容积反应在内的碳粒燃烧反应速率的显式表达式,便于分析和讨论各种工况下碳粒的燃烧状态和影响因素。与原始的 MFF模型和单膜模型相比,所计算的颗粒温度和燃烧速率更符合严格的连续膜模型的预报结果,而计算时间只为连续膜模型的数十万分之一。研究结果表明,改进的 MFF模型是一种简单可行、适于工程应用的碳粒燃烧理论模型。     

集成学习算法的红外光谱定量回归模型

近年来,深度学习在数据挖掘领域研究较多,深度学习中的集成学习算法也越来越多地应用到分类和定量回归中,但是,集成学习算法在红外光谱分析领域的应用研究较少。提出一种基于Blending模型融合的集成学习定量回归算法,利用GBDT算法、线性核支持向量机(LinearSVM)和径向基核支持向量机(RBF SVM)作为基学习器,将基学习器预测结果通过LinearSVM模型完成数据融合。以公开数据库中的药片和柴油近红外光谱数据为研究对象,首先对光谱数据进行一阶导数预处理,分别采用单核支持向量回归模型、GBDT模型和Blending集成学习模型,将模型预测结果进行分析比较。药片活性物含量和硬度性质采用RBF SVM模型的预测结果最优,RMSEP最小,RPD最大;其次为Blending集成学习模型;GBDT模型预测结果最差。药片质量采用Blending集成学习模型预测的R2最高,达到0.837 4;RBF SVM的RMSEP最小,为2.140 6,RPD最大,达到7.487 8;LinearSVM的预测结果最差。对于柴油沸点、闪点和总芳香烃三种性质,Blending模型预测效果最好,优于三种单模型预测结果。对于十六烷值,GBDT模型和RBF SVM模型预测结果优于Blending集成学习模型。对于密度,仅GBDT模型优于Blending集成模型,并且,使用单模型和集成模型的预测结果均较为理想,除了LinearSVM模型R2为0.944 5,其他模型R2均高于0.99。对于冰点的预测,RBF SVM和LinearSVM的预测效果优于Blending集成学习模型。对于黏性性质的预测,仅RBF SVM的预测效果优于Blending集成算法模型。由结果可以看出,由GBDT,LinearSVM和RBF SVM集成的Blending模型由于融合了单模型的特征,与单模型相比,预测效果较优或者最优,证明集成学习Blending模型用于红外光谱定量回归具有较强的适用性,且具有较高的预测精度和泛化能力,对于进一步研究集成学习算法在红外光谱定量回归中的应用具有重要的意义。     

The Odd Eight-Vertex Model

We consider a vertex model on the simple-quartic lattice defined by line graphs on the lattice for which there is always an odd number of lines incident at a vertex. This is the odd 8-vertex model which has eight possible vertex configurations. We establish that the odd 8-vertex model is equivalent to a staggered8-vertex model. Using this equivalence we deduce the solution of the odd8-vertex model when the weights satisfy a free-fermion condition. It is found that the free-fermion model exhibits no phase transitions in the regime of positive vertex weights. We also establish the complete equivalence of the free-fermion odd 8-vertex model with the free-fermion 8-vertex model solved by Fan and Wu. Our analysis leads to several Ising model representations of thefree-fermion model with pure 2-spin interactions.     

可见-近红外光谱的模型转移分类方法

基于光谱技术建立的多元校正模型通常条件下只适用于同一台仪器、相同的测试条件及同批次或同类别的样品。在仪器、测试环境、样品发生变化后,已建光谱模型不再适配,需要进行模型转移。模型转移是限制光谱技术推广应用的关键技术瓶颈,模型转移是否成功直接影响到可见-近红外光谱技术的推广应用,为此,综述了其研究现状,并探讨了其未来发展方向。首先,将模型转移问题分成了两类：第一类是相同样品在不同仪器或不同测试环境（不同温度/不同湿度）等条件下产生的模型不适配问题;第二类是不同批次、不同物理形态、不同种类间产生的模型不适配问题。这两类问题性质不同,解决第一类模型转移,能够保证同源样品的准确性和稳定性;解决第二类,能够实现光谱模型在不同样品间的自动传递和匹配应用。然后,梳理了常用的模型转移算法并进行了分类,包括模型更新、基于光谱校正算法、基于结果校正算法等,并列举了每个类别的模型转移算法的应用。模型更新是一种重新计算模型系数最直接的方法,通过扩展和调整模型来满足新的变化;基于光谱校正算法是通过算法计算转移矩阵,实现对光谱的校正;基于结果校正算法是通过算法计算预测结果和实际结果系数,从而实现预测结果的校正。最后,指出未来应着重研究第二类模型转移问题,并且要寻找能够实现机器自动校正的模型转移,从根本上解决模型转移这一限制光谱速测应用的主要技术瓶颈。     

Reducing slab track vibration into bridge using elastic materials in high speed railway

In this paper, the problem of vibration transmission from slab track structures into bridge is studied by theoretical analysis. A vehicle-track-bridge coupling system dynamics model is established based on a multibody dynamics theory and a finite element method. The system model consists of vehicle model, track-bridge model and wheel/rail interaction model. The vehicle model is established based on the multibody dynamics theory, and the tack-bridge model is established by the finite element method. The vehicle model and track-bridge model are coupled through wheel/rail interaction model, and the track irregularities are included. The system dynamic responses are calculated, and the effectiveness of elastic materials in vibration reducing is discussed. The results demonstrate that elastic materials like slab mat layer inserted between slab track and bridge can reduce vibration transmitted from track into the bridge. Some suggestions for the design and application of slab mat are provided in the end of the paper.     

计算二维声腔传递矩阵的正方形线声源模型

在比较现有二维矩形声腔的声源计算模型特点的基础上,提出了一种新的正方形线声源计算模型,用于计算基于模态级数叠加法的压力响应函数.分析表明,此模型不仅可以克服点声源模型的奇异性,而且在合理选择模型的几何尺寸的前提下能得到比面源模型更为均匀的压力分布,提高了传递函数计算的准确率.数值试验考察了此模型的实际应用效果,表明新的线声源数学模型较圆形线声源更为简便,可以提高计算效率. 关键词： 传递矩阵 正方形线声源模型 二维声腔 模态级数叠加法     

导弹平台测试系统设计方法研究

运用建模的技术对导弹平台测试系统进行模型设计过程中,关键是实现测试系统需求描述模型、结构模型和行为模型等的设计;首先对导弹平台测试系统的工作流程进行了分析,然后在此基础上利用UML建模方法进行测试系统的各项模型设计,通过分解用例图说明测试系统的需求描述模型,分析系统的结构体系及关联关系建立了测试系统的结构模型,运用序列图建立了测试系统的行为描述模型;最后,根据上述模型设计提出了系统的结构及布置关系的设计方案,并且在实际导弹平台测试系统开发中得到了应用,实现了测试系统的各项测试功能;结果表明,采用该建模方法不但能够有效提高系统设计的效率,而且系统在实用性的基础上,还具有复用性及拓展性。     

混合对流的数值模拟

分别采用(-v'2)-f模型、k-ε模型和室内零方程模型对通风空调中典型的气流组织形式混合对流进行数值模拟.研究表明:在通风入口附近存在一个分离涡,对这个分离涡预测的准确程度是整个计算成败的关键因素.将预测结果和实验进行比较,发现这个涡的尺度介于(-v'2)-f模型和零方程模型预测的结果之间,比k-ε模型预测的结果大.虽然从流场上看,零方程模型预测的结果和实验结果吻合很好,但从模型构造的角度看,它不具备普遍的意义.从对温度场的预测看,(-v'2)-f模型预测结果最好,室内零方程模型次之,k-ε模型结果最差.