径向井排引导水力压裂裂缝扩展机理研究

为探究径向井排系统对裂缝的影响，明确水力裂缝的扩展规律，利用扩展有限元理论建立了流固耦合三维裂缝扩展模型，模拟了受径向井排引导的水力裂缝扩展过程。重点分析了3种影响因素（径向井排方位角、水平地应力差、径向井孔径）对水力裂缝的引导机理。首次提出了"引导因子"的概念，并将其作为有效评价径向井排引导效果的量化参数。研究发现，径向井方位角、水平地应力差、径向井井径会对水力裂缝的引导效果产生影响：较小的径向井方位角、水平地应力差以及较大的井径都使径向井排具有较强的引导能力和较好的引导效果，反之亦然。同时，较大井径对增加水力裂缝宽度有明显作用。最后，利用大尺寸真三轴水力压裂模拟试验证实了数值模拟结果具有一定的准确性。     

焊接过程的RBF神经网络建模

介绍了RBF神经网络的性能和算法结构 ,建立了RBF神经网络在船舶焊接过程中用于焊接变形预测分析的模型 ,并探讨了其应用和发展趋势     

Highly accurate calculation of radial spheroidal functions

A new method for calculating the radial spheroidal functions of the first kind is proposed for the arguments that are greater than unity in modulus. A well-known representation of these functions is refined and used for this purpose. The constructs and the software implementation proposed in the paper provide an efficient tool for the calculation of the functions with a desired accuracy in a wide range of parameters.     

Multiscale kernels

This paper reconstructs multivariate functions from scattered data by a new multiscale technique. The reconstruction uses standard methods of interpolation by positive definite reproducing kernels in Hilbert spaces. But it adopts techniques from wavelet theory and shift-invariant spaces to construct a new class of kernels as multiscale superpositions of shifts and scales of a single compactly supported function φ. This means that the advantages of scaled regular grids are used to construct the kernels, while the advantages of unrestricted scattered data interpolation are maintained after the kernels are constructed. Using such a multiscale kernel, the reconstruction method interpolates at given scattered data. No manipulations of the data (e.g., thinning or separation into subsets of certain scales) are needed. Then, the multiscale structure of the kernel allows to represent the interpolant on regular grids on all scales involved, with cheap evaluation due to the compact support of the function φ, and with a recursive evaluation technique if φ is chosen to be refinable. There also is a wavelet-like data reduction effect, if a suitable thresholding strategy is applied to the coefficients of the interpolant when represented over a scaled grid. Various numerical examples are presented, illustrating the multiresolution and data compression effects.     

天然树脂局部结构的径向分布函数研究

本工作用x射线衍射技术分析计算了二种天然树脂的局部结构参数,由测得的衍射强度数据求出了它们的结构因子I(r)和径向分布函数RDF(r),并由此得到了分子链内临近原子和次临近原子平均间距、配位数和短程有序畴。     

Adaptive Interpolation by Scaled Multiquadrics

We present an adaptive method to extract shape-preserving information from a univariate data sample. The behavior of the signal is obtained by interpolating at adaptively selected few data points by a linear combination of multiquadrics with variable scaling parameters. On the theoretical side, we give a sufficient condition for existence of the scaled multiquadric interpolant. On the practical side, we give various examples to show the applicability of the method.     

基于方阱模型计算液体的导热率

为了满足工程上对液体导热率的要求,在方阱模型基础上提出了计算液体导热率的方程。所得的导热率计算方程包括分子平动贡献项和分子内部能量贡献项。为了计算方便,根据分子模拟数据提出了计算中所需的方阱流体的径向分布函数的关联式。物质的能量参数由其临界温度估算,而硬壳体积则由基团贡献法获得。考虑到实际液体有别于方阱流体,在实际液体导热率计算中引入了一个与密度有关的校正参数。使用该文提出的方法,对液体氩及10种液态烃类物质的导热率进行了计算,其计算的平均相对误差小于5.3%。     

一种非刚性医学图像点匹配方法

提出了一种非刚性点匹配的算法并把其运用于医学图像配准．该算法采用信号滤波的方法来获得点集间的匹配信息，并运用松弛标记法将各点邻域关系对模糊的匹配信息进行迭代获得明确的匹配关系．在此基础上，利用高斯径向基函数来描述点模式间的弹性形变，在基本的迭代框架下实现问题的求解．实验结果显示在形变程度为5％、出格点比率50％和噪声标准差为5％的情况下该算法的匹配误差能控制在0．13以下，表明了该算法的鲁棒性和有效性，较好地解决了医学非刚性形变的点匹配问题．     

大型径向和推力滑动轴承试验台结构设计与应用

对径向滑动轴承、推力滑动轴承试验台以及实验台的结构设计、试验范围、功能和工业产品实验进行了介绍。该试验台在滑动轴承的实验研究中得到了很好的应用。     

微型圆光栅刻划偏心量的控制

对微型圆光栅刻划偏心误差问题进行了讨论。提出了微型圆光栅刻划时偏心调试误差的公差范围。