隧道支护结构荷载作用的随机反演

提出荷载－结构模式进行随机反分析方法，从隧道支护结构变形反算对应的荷载作用，可反推围岩抗力系数和覆土荷载的分布情况，以及作用于支护结构上各部位的外荷载。提出了以实测位移为基础的样条函数插值．以插值位移补充大量的实测值，满足了反分析所需众多的已知位移数。通过一施工实例对该方法的可行性进行了检验。     

三种锰硅酸盐矿物的鉴别及其研究意义

蜡硅锰矿，粒硅锰矿，鉴别，研究意义     

多波资料综合解释方法研究的若干进展

本文较系统地总结了多波层位识别的主要原则和方法；提出了利用井中纵、横波速度求取地层密度、孔隙度的改进方法；研制了以小波分解与重建为基础的沿层分频处理法和高分辨剖面重建方法，提高了薄层识别的横向和纵向分辨率；发展了精度高、误差小计算薄层速度的补层加权法；介绍了各向异性介质参数反演的遗传算法，走时法以及Ｐ－ＳＶ波ＡＶＯ分析等方法；建立了多波解释系统的总体框架。所提方法的有效性和正确性均经过实际地震记录和数值模拟计算的检验，对丰富多波地震资料的解释理论，形成多波解释系统，扩大应用领域，提高应用效果具有重要参考意义。     

隧道开挖模拟计算中的模型识别方法初探

介绍了利用隧道施工的位移量测信息来选择计算模型的原理和方法。应用实例表明，本文所提出的方法有较好的应用前景。     

地球物理反问题中的随机反演理论

本文从最大后验概率密度观点出发，在数据噪音向量和待求模型向量为具有零均值的独立高斯随机过程的假设前提下，建立起了随机反演的非线性系统方程；给出了模型方差估计的函数表达式，并在文章最后，证明了反演解的稀疏性，即解释了随机反演的输出解的高分辨率特征。文章在最小二乘反演方法的基础上，发展并完善了随机反演方法的理论基础；揭示了随机反演方法与最小二乘反演方法之间的本质区别；阐述了随机反演方法的优越性，并指出了其广阔的应用前景。     

一种基于二次灰关联分析的数列预测法

数列预测一直是评价决策中最常见而又信于把握的问题之一。本文在总结现有预测方法的基础上，结合前铛预报思想和灰色预测理论，依据数据求同原则，提出了运用二次灰关联分析，建立组合模型的预测方法，该方法易于计算机实现，并已实际应用于油气储量预测研究中。     

Simulation of normal distributed smooth fields by Karhunen-Loéve expansion in combination with kriging

Simulation of multigaussian stochastic fields can be made after a Karhunen-Loéve expansion of a given covariance function. This method is also called simulation by Empirical Orthogonal Functions. The simulations are made by drawing stochastic coefficients from a random generator. These numbers are multiplied with eigenfunctions and eigenvalues derived from the predefined covariance model. The number of eigenfunctions necessary to reproduce the stochastic process within a predefined variance error, turns out to be a cardinal question. Some ordinary analytical covariance functions are used to evaluate how quickly the series of eigenfunctions can be truncated. This analysis demonstrates extremely quick convergence to 99.5% of total variance for the 2nd order exponential (‘gaussian’) covariance function, while the opposite is true for the 1st order exponential covariance function. Due to these convergence characteristics, the Karhunen-Loéve method is most suitable for simulating smooth fields with ‘gaussian’ shaped covariance functions. Practical applications of Karhunen-Loéve simulations can be improved by spatial interpolation of the eigenfunctions. In this paper, we suggest interpolation by kriging and limits for reproduction of the predefined covariance functions are evaluated.     

GPS Ambiguity Resolution: Impact of Time Correlation,Cross-Correlation and Satellite Elevation Dependence

In this contribution we discuss the geometry-free GPS single baseline model and show how the least-squares ambiguities are affected by changes in the stochastic model. We particularly pay attention to the effect of time correlation, cross-correlation and satellite elevation dependence. We also differentiate between the impact on the location of the ambiguity search space and the impact on the size and shape of the search space. The analysis is carried out for both the model in which the ionospheric delays are assumed absent, and for the model in which they are assumed present. The former model is applicable to short baselines only.     

Simulation of normal distributed smooth fields by Karhunen-Loéve expansion in combination with kriging

Simulation of multigaussian stochastic fields can be made after a Karhunen-Loéve expansion of a given covariance function. This method is also called simulation by Empirical Orthogonal Functions. The simulations are made by drawing stochastic coefficients from a random generator. These numbers are multiplied with eigenfunctions and eigenvalues derived from the predefined covariance model. The number of eigenfunctions necessary to reproduce the stochastic process within a predefined variance error, turns out to be a cardinal question. Some ordinary analytical covariance functions are used to evaluate how quickly the series of eigenfunctions can be truncated. This analysis demonstrates extremely quick convergence to 99.5% of total variance for the 2nd order exponential (‘gaussian’) covariance function, while the opposite is true for the 1st order exponential covariance function. Due to these convergence characteristics, the Karhunen-Loéve method is most suitable for simulating smooth fields with ‘gaussian’ shaped covariance functions. Practical applications of Karhunen-Loéve simulations can be improved by spatial interpolation of the eigenfunctions. In this paper, we suggest interpolation by kriging and limits for reproduction of the predefined covariance functions are evaluated.     

郑州国际会展中心展厅钢屋盖的动力特性分析

郑州国际会展中心展览厅钢屋盖采用了空间斜拉式索拱结构体系，为探讨该体系的动力特性，采用ANSYS有限元程序，分别建立钢屋盖与下部混凝土结构共同作用、钢屋盖单独作用以及无斜拉系统的钢屋盖单独作用时的3个空间计算模型，采用子空间迭代法计算其自振周期和振型，并加以比较。从而得出钢屋盖的动力特性，为进一步研究此类结构的受力特性奠定了基础。