Eigenfunction expansion method and its application to two-dimensional elasticity problems based on stress formulation

This paper proposes an eigenfunction expansion method to solve twodimensional （2D） elasticity problems based on stress formulation. By introducing appropriate state functions, the fundamental system of partial differential equations of the above 2D problems is rewritten as an upper triangular differential system. For the associated operator matrix, the existence and the completeness of two normed orthogonal eigenfunction systems in some space are obtained, which belong to the two block operators arising in the operator matrix. Moreover, the general solution to the above 2D problem is given by the eigenfunction expansion method.

Eigenfunction expansion method of upper triangular operator matrixand application to two-dimensional elasticity problems based onstress formulation

This paper studies the eigenfunction expansion method to solve the two dimensional （2D） elasticity problems based on the stress formulation. The fundamental system of partial differential equations of the 2D problems is rewritten as an upper tri angular differential system based on the known results, and then the associated upper triangular operator matrix matrix is obtained. By further research, the two simpler com plete orthogonal systems of eigenfunctions in some space are obtained, which belong to the two block operators arising in the operator matrix. Then, a more simple and conve nient general solution to the 2D problem is given by the eigenfunction expansion method. Furthermore, the boundary conditions for the 2D problem, which can be solved by this method, are indicated. Finally, the validity of the obtained results is verified by a specific example.

参数曲线光滑处理的双向四阶Taylor拟合方法

为了使数控轨迹更加光滑,以进一步提高加工效率,提出一种基于空间轴的光滑曲线双向四阶Taylor拟合方法,通过优化使曲率更平缓来进一步降低拟合曲线的轮廓误差。首先,在参数曲线上选取有限均匀的数据点计算参数各阶导数以及曲率、挠率等微分几何量,以建立Frenet坐标系;然后,在第i区间始末两个数据点分别进行前向和后向四阶Taylor展开,根据刀位点在始末两个数据点形成的参数空间的相对距离确定耦合权重的拟合曲线;最后,通过坐标反变换得到机床坐标系XYZ下的优化轨迹。通过对原始轨迹和双向四阶Taylor拟合进行比较表明,随着阶数的提高,轮廓误差逐渐降低,曲率均值、曲率极差和曲率的导数极差均趋近原始曲线。通过对标准圆和高速列车车轮踏面LM-32进行拟合测试表明,相比拟合曲线,所提方法得到的优化曲线曲率变化连续,轮廓误差小4μm~5μm。

A corrected particle method with high-order Taylor expansion for solving the viscoelastic fluid flow

In this paper, a corrected particle method based on the smoothed particle hydrodynamics (SPH) method with high-order Taylor expansion (CSPH-HT) for solving the viscoelastic flow is proposed and investigated. The validity and merits of the CSPH-HT method are first tested by solving the nonlinear high order Kuramoto-Sivishinsky equation and simulating the drop stretching, respectively. Then the flow behaviors behind two stationary tangential cylinders of polymer melt, which have been received little attention, are investigated by the CSPH-HT method. Finally, the CSPH-HT method is extended to the simulation of the filling process of the viscoelastic fluid. The numerical results show that the CSPH-HT method possesses higher accuracy and stability than other corrected SPH methods and is more reliable than other corrected SPH methods.

Q estimation using multifrequency point average method based on the Taylor series expansion with a different order

The quality factor Q is an important parameter because it can refl ect the reservoir attenuated features and can be used for inverse-Q filtering to compensate for the seismic wave energy.The accuracy of the Q estimation is greatly significant for improving the precision of the reservoir prediction and the resolution of seismic data.In this paper,the Q estimation formulas of the single-frequency point are derived on the basis of a diff erent-order Taylor series expansion of the amplitude attenuated factor.Moreover,the multifrequency point average(MFPA)method is introduced to obtain a stable Q estimation.The model tests demonstrate that the MFPA method is less aff ected by the frequency band,travel time diff erence,time window width,and noise interference than the logical spectrum ratio(LSR)method and the energy ratio(ER)method and has a higher Q estimation accuracy.In addition,the proposed method can be applied to post-stack seismic data and obtain eff ective Q values of complex models.When the MFPA method was applied to real marine seismic data,the Q values estimated by the MFPA method with the 1st–4th order showed good consistency with each other.In contrast,the Q values obtained by the ER method were larger than those of the proposed method,while those estimated by the LSR method signifi cantly deviated from the average values.In conclusion,the MFPA method has superior stability and practicability for the Q estimation.

TAYLOR EXPANSION METHOD FOR NONLINEAR EVOLUTION EQUATIONS

A new numerical method of integrating the nonlinear evolution equations, namely the Taylor expansion method, was presented. The standard Galerkin method can be viewed as the 0_th order Taylor expansion method; while the nonlinear Galerkin method can be viewed as the 1_st order modified Taylor expansion method. Moreover, the existence of the numerical solution and its convergence rate were proven. Finally, a concrete example, namely, the two_dimensional Navier_Stokes equations with a non slip boundary condition,was provided. The result is that the higher order Taylor expansion method is of the higher convergence rate under some assumptions about the regularity of the solution.

THE TAYLOR EXPANSION OF A FUNCTION OF FUNCTIONS

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Numerical Solution of Differential Equations by Direct Taylor Expansion

A variation of the direct Taylor expansion algorithm is suggested and applied to several linear and nonlinear differential equations of interest in physics and engineering, and the results are compared with those obtained from other algorithms. It is shown that the suggested algorithm competes strongly with other existing algorithms, both in accuracy and ease of application, while demanding a shorter computation time.

含[1+1/x]^(x)极限式的Taylor展开求解方法

泰勒展开式可以有效地用来求解一些极限问题.本文用一些例子展现这一过程.

A class of two-dimensional dual integral equations and its application

Because exact analytic solution is not available, we use double expansion and boundary collocation to construct an approximate solution for a class of two-dimensional dual integral equations in mathematical physics. The integral equations by this procedure are reduced to infinite algebraic equations. The accuracy of the solution lies in the boundary collocation technique. The application of which for some complicated initialboundary value problems in solid mechanics indicates the method is powerful.

Centered simple waves for the two-dimensional pseudo-steady isothermal ?ow around a convex corner

The two-dimensional(2D) pseudo-steady isothermal flow, which is isentropic and irrotational, around a convex corner is studied. The self-similar solutions for the supersonic flow around the convex corner are constructed, where the properties of the centered simple wave are used for the 2D isentropic irrotational pseudo-steady Euler equations. The geometric procedures of the center simple waves are given. It is proven that the supersonic flow turns the convex corner by an incomplete centered expansion wave or an incomplete centered compression wave, depending on the conditions of the downstream state.

Reversible Data Hiding Based on Greedy Pairing Prediction-Error Expansion

Reversible data hiding(RDH)is a method to embed messages into an image that human eyes are difficult to recognize the differences between the original image and the embedded image.The method needs to make sure that the original image and the embedded information can be exactly recovered.The prediction-error expansion(PEE)is a successful way to realize RDH.However,it is fixed when pairing the conventional twodimensional prediction-error histogram(2D-PEH).So,the embedding capacity(EC)and embedding distortion(ED)are not satisfactory.In this study,we propose a method called greedy pairing prediction-error expansion(GPPEE)based on pairwise RDH and demonstrate GPPEE can achieve a more efficient embedding goal and reduce ED.

Comment on “Band gaps structure and semi-Dirac point of two-dimensional function photonic crystals” by Si-Qi Zhang et al.

Recently, Zhang et al. （Chin. Phys. B 26 024208 （2017）） investigated the band gap structures and semi-Dirac point of two-dimensional function photonic crystals, and the equations for the plane wave expansion method were induced to obtain the band structures. That report shows the band diagrams with the effects of function coefficient k and medium column ra under TE and TM waves. The proposed results look correct at first glance, but the authors made some mistakes in their report. Thus, the calculated results in their paper are incorrect. According to our calculations, the errors in their report are corrected, and the correct band structures also are presented in this paper.

Taylor展开式的计算

本文对2021年全国硕士研究生入学统一考试中一道函数Taylor展开式问题进行了研究,给出了7种计算方法,证明利用最小二乘法可以计算函数的Taylor展开式.

泰勒展开与交替投影最大似然结合的离网格DOA估计算法

针对最大似然DOA估计算法需要多维搜索、计算量大且面临着在网格估计的问题,该文提出一种基于泰勒展开的离网格交替投影最大似然算法。该方法首先利用交替投影将多维搜索转化为多个1维搜索,获得对应预设大网格的粗估计结果;再利用矩阵求导理论将1维代价函数在粗估计结果处进行2阶泰勒展开;最后通过对2阶泰勒展开求偏导并令导数等于零,求得离网参数的闭式解。与交替投影最大似然算法相比,该方法突破了搜索网格大小的限制,在保证算法精度的同时,有效减少了算法的在网格计算点数,提升了运算效率。仿真结果证明了该算法的有效性。

定积分在两点展开的渐近公式

对于具有m+n阶连续导数的被积函数的定积分,通过多次分部积分给出了在积分上限和积分下限两点处同时展开的定积分的渐近展开式,其余项类似于Taylor公式的积分型余项,这种展开式可看作是Taylor公式的一种推广.被积函数在积分上下限处的值有不同情形,展开式也会随之变化而具有多种形式.通过分析与举例也发现这种展开式的近似计算优于Taylor公式的近似计算,而且在某些积分不等式的证明中也体现了其快捷方便的优点.

嵌入多阶泰勒微分知识的多尺度注意力循环网络深度时空序列预测方法

融合先验物理知识的深度时空序列预测方法通常使用偏微分方程(PDE)进行建模,这种做法通常存在两大问题:(1)偏微分方程的近似精度低;(2)无法在循环网络中有效捕捉多种空间尺度的时空特征和时空序列的边缘相关空间信息。为此,该文提出了融合泰勒微分的卷积循环神经网络(TDI-CRNN)。首先,为了提高高阶偏微分方程的近似精度并缓解偏微分方程应用的局限性,设计了一种多阶泰勒近似物理模块。该模块首先使用泰勒展开式对输入序列作微分逼近,再将不同阶数之间的微分卷积层使用微分系数耦合,最后动态调整泰勒展开结果的截断阶数与微分项数。其次,为了捕获循环网络隐藏状态的多种空间尺度特征并更好地捕捉时空序列的边缘相关空间信息,设计了一种多尺度注意力循环模块(MSARM),在该模块的多尺度卷积空间注意力UNet(即MCSA-UNet)的卷积层中使用了多尺度卷积和空间注意力机制,目的是关注时空序列的局部空间区域。在Moving MNIST,KTH以及CIKM数据集上开展了大量实验,Moving MNIST数据集的均方误差(MSE)指标下降到42.7,结构相似性指数(SSIM)提高到0.912;KTH数据集的SSIM和峰值信噪比(PSNR)分别提高到0.882和29.03;CIKM数据集上的临界成功指数(CSI)提高到0.515。最终的可视化和定量预测结果均验证了TDI-CRNN模型的合理性和有效性。

分数阶Bagley-Torvik微分方程的初边值问题数值求解方法研究

研究针对分数阶Bagley-Torvik微分方程的初边值问题,结合遗传算法(Genetic Algorithm,GA)和单输入Chebyshev神经网络(Chebyshev neural network,ChNN)搭建GA-ChNN神经网络,经过迭代后的最终权值即为微分方程的数值解。实验结果表明,研究优化的GA-ChNN神经网络误差绝对值更低,得到的数值解更为拟合微分方程的精确解。通过比较CPU执行时间可知,ChNN神经网络、GA-ChNN神经网络和算法优化的GA-ChNN神经网络的平均CPU执行时间分别为14.803s,1.026s和0.190s。通过与其他求解算法相比较,研究采用的优化GA-ChNN神经网络的绝对误差值最小且误差波动范围最小,其绝对误差最小值接近0.021,而误差波动范围在[0,0.2]之间,进一步验证了算法的优越性。

基于未知函数泰勒展开的GH4169插铣刀具寿命预测

科学实验和生产实践中经常研究变量间的关系,获得相关变量的不规则的散点数据,多数情况下,这些变量之间的函数关系是未知的。本文通过泰勒展开给出了通用的函数公式,并尝试通过拟合获得相关系数(通常只选取部分最有效的加和项系数作拟合),使公式能很好地适应数据。获得能适应数据的合适的泰勒展开式,即是获得了变量之间的函数关系,将给研究和使用带来极大方便。本文研究了GH4169插铣刀具寿命的泰勒展开模型,验证了泰勒展开式预测结果优于插值和RBF网络预测结果。GH4169插铣刀具寿命的泰勒展开模型是三元函数,为便于研究,固定两个参数,只研究一个参数变化对刀具寿命的影响,所获得的规律与文献的研究结果相符。

基于Chan氏算法和Taylor级数展开法的协同定位方法

该文分析讨论了Chan和泰勒两种TDOA定位算法的优缺点,并在此基础上提出了基于 Chan氏算法(1994)和Taylor级数展开法(1976)的协同定位方法。通过在不同信道环境下对协同定位 方法进行仿真,表明该方法在信道环境恶劣时能够有效地提高定位精度。