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。     

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.     

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.     

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.     

Cellular automaton model considering headway-distance effect

This paper presents a cellular automaton model for single-lane traffic flow. On the basis of the Nagel-Schreckenberg （NS） model, it further considers the effect of headway-distance between two successive cars on the randomization of the latter one. In numerical simulations, this model shows the following characteristics. （1） With a simple structure, this model succeeds in reproducing the hysteresis effect, which is absent in the NS model. （2） Compared with the slow-tostart models, this model exhibits a local fundamental diagram which is more consistent to empirical observations. （3） This model has much higher efficiency in dissolving congestions compared with the so-called NS model with velocitydependent randomization （VDR model）. （4） This model is more robust when facing traffic obstructions. It can resist much longer shock times and has much shorter relaxation times on the other hand. To summarize, compared with the existing models, this model is quite simple in structure, but has good characteristics.     

Bilocal regularization of models of random surfaces

A new formulation of a Weingarten-type model in terms of bilocal (no-matrix) variables in continuous space is given. This model is equivalent to the model of triangular planar random surfaces. It generalizes in a reparametrization invariant way the model recently suggested by Billoire, Gross and Marinari. The number-of-surfaces critical index is calculated in the zero-dimensional case of this model.     

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.     

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     

The Average Nucleon Density in Intrinsic State of FDSM SO(6)

The average nucleon density in the intrinsic state of SO(6) of the fermion dynamical symmetry model is given. The relation between the geometric model and the fermion dynamical symmetry model is established microscopically in terms of the bridge of the nucleon density. An approximate expression of deformed parameters in the geometric model is obtained analytically by comparing the nucleon density of the fermion dynamical symmetry model with that of the geometric model.     

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。      

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     

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.     

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.     

模式误差弱约束四维变分同化研究

经典四维变分同化(four dimensional variational data assimilation,简称4dvar)中认为模式是完美的, 而实际数值模式中存在的模式误差将对变分同化效果产生直接影响, 弱约束4dvar的提出为4dvar中考虑模式误差的影响提供了一种可行途径. 研究了基于模式误差控制变量的弱约束4dvar基本理论, 并在一维浅水方程组中对其同化效果及估计模式误差的有效性进行相关数值实验研究. 结果表明,在模式误差不可忽略的情况下,模式误差弱约束4dvar在整个区间 (包括同化区间和预报区间)上预报误差均比传统4dvar小, 在模式误差相对较大时改进效果更明显,具有明显优越性; 并且,模式误差弱约束4dvar能有效估计模式误差大小及分布形式.     

激光外差干涉快速超精密测量模型研究

为了精确地描述激光外差干涉在快速超精密测量中的位移测量．建立了激光外差干涉快速超精密测量模型。传统外差干涉测量模型采用舍去高阶误差的方法,便于分析与快速计算,但存快速纳米精度测量中,高阶误差已经影响到测量精度．根据多普勒频移公式,通过分析激光外差干涉的测量原理．在已有的激光干涉测量模型上增加了u^2/c的积分项．相当于将传统测量模型进行了高阶误差补偿。通过理论分析可知,当最高测量速度为1m/s,运行位移为3m时,该测量模型能够减小约18nm的测量误差,解决了传统测量模型存存的残余误差累计问题,从而为激光外差干涉在快速超精密测量领域的应用提供了一种理论依据。     

一种新的航天器外露介质充电模型

为综合考虑高能电子辐射与周围等离子体对航天器外露介质充电的影响,在航天器内带电模型的基础上,通过添加边界充电电流来考虑等离子体与航天器介质表面的相互作用,并统一参考电位为等离子体零电位,建立了航天器外露介质充电模型,给出了新模型的一维稳态解法,并与表面充电模型和深层充电模型进行了对比分析.结果表明:新建模型能够综合考虑表面入射电流、深层沉积电流和传导电流对充电的耦合作用过程,实现外露介质表面和深层耦合充电计算,有利于全面评估航天器外露介质的充电问题.     

On the algebraic formulation of collective models. I. The mass quadrupole collective model

This paper is the first in a series of three which together present a microscopic formulation of the Bohr-Mottelson (BM) collective model of the nucleus. In this article the mass quadrupole collective (MQC) model is defined and shown to be a generalization of the BM model. The MQC model eliminates the small oscillation assumption of BM and also yields the rotational and CM(3) submodels by holonomic constraints on the MQC configuration space. In addition, the MQC model is demonstrated to be an algebraic model, so that the state space of the MQC model carries an irrep of a Lie algebra of microscopic observables, the MQC algebra. An infinite class of new collective models is then given by the various inequivalent irreps of this algebra. A microscopic embedding of the BM model is achieved by decomposing the representation of the MQC algebra on many-particle state space into its irreducible components. In the second paper this decomposition is studied in detail. The third paper presents the symplectic model, which provides the realization of the collective model in the harmonic oscillator shell model.     

基于聚类分析的降阶模型在低渗透油藏数值模拟中的应用

基于全隐式法求解考虑低渗透油藏流动过程中启动压力梯度影响的二维油水两相流动数学模型;利用本征正交分解法从获取的快照中提取基函数,将原模型投影到基函数展成的低维子空间中构造相应的降阶模型;考虑到依据等时间间隔获取的快照的缺陷,利用CVT-Lloyd算法对快照进行聚类分析.实例计算表明:通过本征正交分解法构造降阶模型能很好地对原模型进行近似;通过基于聚类分析处理快照后,一方面减少数据冗余,生成空间分布更均匀的快照集合从而提高降阶模型的精度,另一方面过少的聚类数可能导致快照信息的缺失,影响最后模型的精度.     

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。     

作用力求取方法对多相伪势模型的影响

基于伪势模型将有效密度和势函数结合计算粒子间相互作用力,提出一种改进描述气液相变的格子Boltzmann模型.对不同状态方程控制的单组份流体相变过程进行模拟发现,与单纯由有效密度或势函数计算粒子间相互作用力的方法相比,该模型的结果与Maxwell构建更吻合,且最大伪速度更小,扩大了温度的计算范围,提高了模型的稳定性.基于Laplace定律对界面现象模拟结果进行讨论,模拟结果与Laplace定律吻合.