Solution of scattering from rough surface with a 2D target above it by a hybrid method based on the reciprocity theorem and the forward-backward method

This paper proposes a hybrid method based on the forward-backward method （FBM） and the reciprocity theorem （RT） for evaluating the scattering field from dielectric rough surface with a 2D target above it. Here, the equivalent electric/magnetic current densities on the rough surface as well as the scattering field from it are numerically calculated by FBM, and the scattered field from the isolated target is obtained utilizing the method of moments （MOM）. Meanwhile, the rescattered coupling interactions between the target and the surface are evaluated employing the combination of FBM and RT. Our hybrid method is first validated by available MOM results. Then, the functional dependences of bistatic and monostatic scattering from the target above rough surface upon the target altitude, incident and scattering angles are numerically simulated and discussed. This study presents a numerical description for the scattering mechanism associated with rescattered coupling interactions between a target and an underlying randomly rough surface.

A Hybrid Backward Euler Control Volume Method to Solve the Concentration-Dependent Solid-State Diffusion Problem in Battery Modeling

Several efficient analytical methods have been developed to solve the solid-state diffusion problem, for constant diffusion coefficient problems. However, these methods cannot be applied for concentration-dependent diffusion coefficient problems and numerical methods are used instead. Herein, grid-based numerical methods derived from the control volume discretization are presented to resolve the characteristic nonlinear system of partial differential equations. A novel hybrid backward Euler control volume (HBECV) method is presented which requires only one iteration to reach an implicit solution. The HBECV results are shown to be stable and accurate for a moderate number of grid points. The computational speed and accuracy of the HBECV, justify its use in battery simulations, in which the solid-state diffusion coefficient is a strong function of the concentration.

Iterative methods for a forward-backward heat equation in two-dimension

A finite difference method is introduced to solve the forward-backward heat equation in two space dimensions. In this procedure, the backward and forward difference scheme in two subdomains and a coarse-mesh second-order central difference scheme at the middle interface are used. Maximum norm error estimate for the procedure is derived. Then an iterative method based on domain decomposition is presented for the numerical scheme and the convergence of the given method is established. Then numerical experiments are presented to support the theoretical analysis.

Forward-backward热方程差分逼近的直接算法

通过利用区域分解技术和并行算法的思想 ,把原问题分解为几个完全独立的子区域上的问题 ,并直接并行求解 ,然后把这些解作适当的线性组合 ,得到原问题的解 .给出了 Forward-

求解双层凸优化问题的Forward-Backward分裂算法

Forward-Backward分裂算法是求解极大单调算子和问题以及极小化具有可分结构的凸函数和问题的有效算法。本文利用该算法在Hilbert空间中构造出了求解双层优化问题的分裂算法。与已有文献相比,所提算法不仅在参数的选取上更加灵活,而且本文还证明了该算法生成的点列能收敛到双层优化问题的解。

Solutions to general forward-backward doubly stochastic differential equations

A general type of forward-backward doubly stochastic differential equations （FBDSDEs） is studied. It extends many important equations that have been well studied, including stochastic Hamiltonian systems. Under some much weaker monotonicity assumptions, the existence and uniqueness of measurable solutions are established with a incthod of continuation. Furthermore, the continuity and differentiability of the solutions to FBDSDEs depending on parameters is discussed.

Analysis of the Invariance and Generalizability of Multiple Linear Regression Model Results Obtained from Maslach Burnout Scale through Jackknife Method

The purpose of this study was to examine the burnout levels of research assistants in Ondokuz Mayis University and to examine the results of multiple linear regression model based on the results obtained from Maslach Burnout Scale with Jackknife Method in terms of validity and generalizability. To do this, a questionnaire was given to 11 research assistants working at Ondokuz Mayis University and the burnout scores of this questionnaire were taken as the dependent variable of the multiple linear regression model. The variable of burnout was explained with the variables of age, weekly hours of classes taught, monthly average credit card debt, numbers of published articles and reports, gender, marital status, number of children and the departments of the research assistants. Dummy variables were assigned to the variables of gender, marital status, number of children and the departments of the research assistants and thus, they were made quantitative. The significance of the model as a result of multiple linear regressions was examined through backward elimination method. After this, for the five explanatory variables which influenced the variable of burnout, standardized model coefficients and coefficients of determination, and 95% confidence intervals of these values were estimated through Jackknife Method and the generalizability of the parameter estimation results of these variables on population was researched.

A NEW PSEUDOSPECTRAL APPROXIMATION FOR THE FOWARD-BACKWARD HEAT EQUATION

In this paper,we propose a new numerical method which is a least squares approximaton based on pseudospectral method for the Forward-Backward heat equation. The existence and uniqueness of the solution of the least squares approximation are proved. Error estimates for this approximation are given,which show that tile order of convergence depends only on the regularity of tile solution and the right hand of the Forward-Backward heat equation.

An Implicit-Explicit Computational Method Based on Time Semi-Discretization for Pricing Financial Derivatives with Jumps

This paper considers pricing European options under the well-known of SVJ model of Bates and related computational methods. According to the no-arbitrage principle, we first derive a partial differential equation that the value of any European contingent claim should satisfy, where the asset price obeys the SVJ model. This equation is numerically solved by using the implicit- explicit backward difference method and time semi-discretization. In order to explain the validity of our method, the stability of time semi-discretization scheme is also proved. Finally, we use a simulation example to illustrate the efficiency of the method.

STABILIZED NUMERICAL APPROXIMATIONS OF THE BACKWARD PROBLEM OF A PARABOLIC EQUATION

In this paper, the backward problem of a parabolic equation is considered. Three new stability estimates are given. Based on the new stability estimates, a regularization method is proposed for which error estimates are available. The regularization method can be used for the numerical approximations of the original problem which will be shown by the numerical examples.

山洪灾害雨量预警指标分析方法评述与展望

山洪灾害预警指标是山洪灾害预报预警的核心,我国现阶段主要采用经验法和水位流量反推法确定雨量预警指标,并逐步推广应用复合预警指标法和动态临界雨量法。在系统阐述国内外常用雨量预警指标分析方法及其特点基础上,针对山洪灾害预警指标分析中需考虑的降雨时空分布变化、高含砂水流、泥石流及其他不确定因素影响问题,提出今后雨量预警指标研究方向。

Effect of Richardson number on entropy generation over backward facing step

The flow over a backward facing step （BFS） has been taken as a useful proto- type to investigate intrinsic mechanisms of separated flow with heat transfer. However, to date, the open literature on the effect of Richardson number on entropy generation over the BFS is absent yet, although the flow pattern and heat transfer characteristic both will receive significant influence caused by the variation of Richardson number in many prac- tical applications, such as in microelectromechanical systems and aerocrafts. The effect of Richardson number on entropy generation in the BFS flow is reported in this paper for the first time. The entropy generation analysis is conducted through numerically solving the entropy generation equation. The velocity and temperature, which are the inputs of the entropy generation equation, are evaluated by the lattice Boltzmann method. It is found that the distributions of local entropy generation number and Bejan number are significantly influenced by the variation of Richardson number. The total entropy gen- eration number is a monotonic decreasing function of Richardson number, whereas the average Bejan number is a monotonic increasing function of Richardson number.

一种求解包含问题的算法研究

一种实希尔伯特空间中求解包含问题的算法被提出,所提出的算法基于向前向后方法、压缩方法、惯性方法和无需搜索的自适应步长。算法的特点为迭代中多次使用惯性加速方法,且自适应步长随着迭代次数增加可能增大。在包含问题解集非空、一个映射极大单调、另一个映射单调且利普希茨连续的假设下,算法的强收敛性被证明。

常温养护超高性能混凝土弯拉性能及轴拉本构模型

根据水化反应方程和紧密堆积理论确定了常温养护下超高性能混凝土(UHPC)的基础配合比,基于此考虑水胶比和钢纤维掺量设计了8组UHPC抗弯试件。通过四点弯曲试验,分析了试件的受弯破坏形态、荷载-挠度曲线、弯拉特征参数和弯曲韧性等;基于试验结果采用倒推方法得到了UHPC轴拉应力-应变曲线,采用回归分析提出了考虑纤维特征的轴拉本构模型,并经过材料和构件两个层次的验证。结果表明:掺加钢纤维可抑制主裂缝的发展,从而明显改善UHPC的抗弯韧性,钢纤维掺量为2.0%的UHPC弯曲韧性指数达到116.9 J;随着水胶比增大,试件抗折强度和峰值挠度均呈下降趋势;增大钢纤维掺量明显提升了试件弯曲性能,掺入2.0%钢纤维的UHPC与未掺纤维相比,其初裂挠度和抗折强度分别提升157.14%和148.63%;当纤维含量为1.5%~2.0%时,试件具有良好的弯拉性能;水胶比对曲线平台段趋势影响不大,纤维掺量大于1.0%时曲线具有较明显的应变硬化特征,可保证UHPC良好的抗拉性能,其应变硬化特征随着纤维掺量增大而变得更明显;所提模型对UHPC受拉应力-应变关系具有较好的预测性。

界面特性对InAs/GaSb Ⅱ型超晶格光学性质影响理论研究

InAs/GaSb Ⅱ型超晶格是中红外谱段光电子器件的核心结构,其Ⅱ型能带排列特点使电子、空穴在实空间分离而跨过界面,其非公共原子构型使得界面态丰富。我们在Burt-Foreman包络函数理论的基础上,讨论了不同界面态对超晶格电子能态和波函数的调控作用。理论计算表明,超晶格缓变界面和界面势两种不对称界面态分布,都会导致重空穴带的自旋劈裂,而只有施加界面势时才会使得轻空穴带发生自旋劈裂。此外,研究了改变阱宽和改变势垒时超晶格体系带隙的变化趋势。结果表明,随着势垒厚度增大,陡峭界面和缓变界面两种界面态下的带隙计算结果逐渐降低,并且随着厚度增加带隙趋于收敛,而界面势下的带隙计算结果随着势垒厚度的增大而增大,与前两者呈现相反的趋势,这为中红外超晶格器件的精确设计提供了可参考的理论基础。

求解拟单调变分不等式问题的交替惯性向前向后算法

该文结合线搜索方法,提出了改进的交替惯性向前向后算法求解拟单调变分不等式问题.该算法在每次迭代时只需计算一次到可行集上的投影,在一定的假设下证明了解集的弱收敛性定理.最后通过数值实验验证了算法的有效性.

地—井瞬变电磁三维各向异性响应特征研究

地—井瞬变电磁法由于抗干扰能力强、响应信号明显等优势而应用广泛。在深部矿产资源调查和地质构造勘查等任务中,多个油气储存在层理发育的沉积岩地区大多数情况下表现为电各向异性,但是目前地—井瞬变电磁反演算法均基于各向同性模型,传统反演成像技术不再适用。为了分析地层电导率各向异性对地—井瞬变电磁勘探结果的影响,对各向异性介质模型研究其电磁响应特性。基于各向异性介质的电导率张量,提出了一种基于有限元方法的三维分析模型,采用PARDISO求解器进行求解。针对多个各向异性角度的情况模拟了各向异性介质的瞬变电磁响应,分析介质各向异性对电磁波传播规律的影响,探讨了各向异性瞬变电磁响应特征。研究结果表明:在垂直各向异性介质中,电磁波传播方向垂直于电导率最大的方向时,电磁响应变化最明显;电磁波传播方向平行于电导率最大的方向时,电磁响应变化最弱。在水平各向异性介质中,电磁波垂直于电导率最小的方向时,电磁响应变化最明显;电磁波平行于电导率最小的方向时,响应变化较弱。最后,针对地—井瞬变电磁方位测井,分析了发射源沿不同方向条件下各向异性地层和异常体模型的电磁响应,结果表明其瞬变电磁响应特征与发射源的方向有关,且对于主轴各向异性异常体,发射源方向的选择直接影响对异常体各向异性方向的判断。该研究结论对油气开发地球物理勘探方法的研究具有一定的参考价值。

随机年龄结构固定资产系统倒向Euler法的p阶矩耗散性

在单边Lipschitz条件下,研究了一类随机年龄结构固定资产系统倒向Euler法数值解的p阶矩耗散性.当0<p<1时,步长满足一定条件可以得到系统的p阶矩耗散性;而p=2时,在对步长没有任何限制条件的情况下,得到了系统的均方耗散性.最后,通过数值例子验证了理论结果的可行性和有效性.

局部标架的共旋Timoshenko梁单元多体动力学数值特性分析

多柔体系统的动力学过程不仅包含结构大范围刚体运动带来的几何非线性,也存在大变形导致的几何非线性.近年来,基于李群局部标架的建模方法(local frame of Lie group,LFLG)被验证可与各类建模方法结合,能够消除刚体运动带来的几何非线性.同时,大变形导致的几何非线性也将随着空间离散加密逐渐减弱.由此,LFLG可消除多柔体系统中部件的几何非线性,刚体与柔性体惯性力、内力及其Jacobian矩阵均满足刚体运动的不变性,可有效减少单元Jacobian矩阵更新次数.但由于多体系统还广泛存在约束及载荷的非线性,LFLG方法在实际应用中是否能够提升系统整体的Jacobian矩阵复用效率尚未进行深入探讨.并且,多柔体系统通常采用变阶变步长时间积分策略求解动力学方程,算法阶数以及时间步长变化也将导致多体系统Jacobian变化,加剧了系统Jacobian复用难度.为客观分析LFLG方法在实际仿真中的数值特性,文章首先以共旋坐标建模方法为例,给出了基于李群局部标架的三维Timoshenko梁单元建模方法.较于几何精确建模、绝对节点坐标等方法,该方法能够最大复用小变形有限元方法的单元算法,可降低单元开发难度;其次,搭建了LFLG方法的变阶变步长BDF(backward difference formula)与变步长广义α积分器的计算流程,并针对小变形与大变形两种工况,分析单元弹性力及阻尼力几何非线性特性,对比Jacobian复用效率;最后,通过与全局标架算法对比,分析局部标架方法与全局标架建模方法的数值特性.