堆石坝材料参数的灵敏度分析

对堆石坝材料参数的灵敏度进行了分析,计算了堆石料的静力本构模型。通过比较,选用邓肯Ｅ－Ｂ模型的材料参数工分析,利用有限元计算找出了Ｒｆ,ｎ,ｍ,Ｋ,Ｋｂ与沉陷变形的关系。计算时采用了变化某一个参数而固定其余参数的方法,计算分析得知主要参数的敏感性。     

分子光谱的非正交变换因子分析

提出一种非正交变换因子分析法, 用于混合物光谱的解析及多组份混合物的同时测定根据其数学原理编制的计算机软件在 Ｐ Ｃ 机上顺利运行该法成功地用于四组份混合荧光光谱的解析, 以及多组份荧光物质的同时测定     

等变Borsuk—Ulam定理

在紧致李群双作用下的Ｂａｎａｃｈ空间中,讨论了非等价等变严格压缩场的拓扑度计算问题,提出了并利用等变子方法和作用方法,通过等变Ｓａｒｄ－Ｓｍａｌｅ定理和单作用等变拓扑定理,取消现有结论对紧致群的交换性假设和群表示形式的特殊性要求,还取消了现有结论对作用空间有限维限制,证明了非奇异等变Ｂｏｒｓｕｋ－Ｕｌａｍ定理。     

Probabilistic Forecasts of Wind Power Generation by Stochastic Differential Equation Models

The increasing penetration of wind power has resulted in larger shares of volatile sources of supply in power systems worldwide. In order to operate such systems efficiently, methods for reliable probabilistic forecasts of future wind power production are essential. It is well known that the conditional density of wind power production is highly dependent on the level of predicted wind power and prediction horizon. This paper describes a new approach for wind power forecasting based on logistic‐type stochastic differential equations (SDEs). The SDE formulation allows us to calculate both state‐dependent conditional uncertainties as well as correlation structures. Model estimation is performed by maximizing the likelihood of a multidimensional random vector while accounting for the correlation structure defined by the SDE formulation. We use non‐parametric modelling to explore conditional correlation structures, and skewness of the predictive distributions as a function of explanatory variables. Copyright © 2015 John Wiley & Sons, Ltd.     

Bounds for the least squares extrapolation in non‐linear AR(1) processes

It is proved that formula for least squares extrapolation in stationary non‐linear AR(1) process is valid also for non‐stationary non‐linear AR(1) processes. This formula depends on the distribution of the corresponding white noise. If the non‐linear function used in the model is non‐decreasing and concave, upper and lower bounds are derived for least squares extrapolation such that the bounds depend only on the expectation of the white noise. It is shown in an example that the derived bounds in some cases give a good approximation to the least squares extrapolation. Copyright © 2001 John Wiley & Sons, Ltd.     

Monthly data and short‐term forecasting: an assessment of monthly data in a VAR model

Use of monthly data for economic forecasting purposes is typically constrained by the absence of monthly estimates of GDP. Such data can be interpolated but are then prone to measurement error. However, the variance matrix of the measurement errors is typically known. We present a technique for estimating a VAR on monthly data, making use of interpolated estimates of GDP and correcting for the impact of measurement error. We then address the question how to establish whether the model estimated from the interpolated monthly data contains information absent from the analogous quarterly VAR. The techniques are illustrated using a bivariate VAR modelling GDP growth and inflation. It is found that, using inflation data adjusted to remove seasonal effects and the impacts of changes to indirect taxes, the monthly model has little to add to a quarterly model when projecting one quarter ahead. However, the monthly model has an important role to play in building up a picture of the current quarter once one or two months' hard data becomes available. Copyright © 1999 John Wiley & Sons, Ltd.     

研究非平衡等离子由CH4加CO2 偶联制C2烃类反应机理

O2电晕放电条件下能产生O/O^-活性粒子,选用CO2作氧化剂,代替O2来实现CH4的氧化偶联,提出了反应机理,并通过CH4/CO2比值对反应体系（封闭）的影响,证实反应机理的可靠性.     

含内源与一阶项的非Newton渗流方程的临界指标

研究含内源与一阶项的非Newton渗流方程齐次Neumann边值问题解的长时间渐近行为. 证明了所研究问题的Fujita临界指标不但受空间维数和非线性指数的影响, 还受方程中一阶项系数k的影响. 证明了此问题一阶项系数k存在两个阈值k_∞和k₁(k_∞ 1), 使得当k_∞1时, Fujita临界指标是一个取值大于1的有限实数, 而当k≤k_∞或k≥k₁时, Fujita临界指标不存在.     

三维波形复合夹层体系半解析法有限单元分析

将有限单元半解析法用于求解三维填充式波形空间结构。构造了结构受弯窄条的反力矩阵。根据有限单元半解析法将位移场表示成两个方向位移的组合：一个方向以函数形式给定位移形状;另一方向为求解有限单元法的代数方程组。最后通过算例验证表明：有限单元半解析法对于求解空间填充式结构非线性问题具有精度高,收敛快,易于计算机编程的优点。     

对等网中基于强互惠的节点行为演化分析

对等网的高度动态性、异构性、关联度低等特性,要求对等网中的节点之间要高度合作.与采用激励机制促进节点之间进行合作的方法不同,本文引入强互惠理论,解决对等网络中存在的节点不合作问题,即对等网络中存在的强互惠节点,为了公平,愿意自己承担成本来惩罚不合作节点.在理论上对系统中节点的行为演化过程进行了分析,仿真实验结果显示系统中不合作节点比例降低,且提高了系统的整体收益.