膨润土加砂混合物干燥收缩特征及缩裂机制研究

膨润土加砂混合物作为核废料储存库缓冲材料,在库内高温高吸力条件下易干燥收缩,对工程安全运营有着重要影响,研究其收缩特性具有实际意义。以砂-膨润土混合物的饱和压实样为研究对象,采用自制恒温箱控制其收缩进程,分析含砂量及干密度对混合物收缩特性的影响。研究结果表明:干燥―收缩过程水分蒸发可分为减速阶段与残余阶段。减速阶段内水分迁出受控于干密度,而最终残余含水率主要受膨润土含量的影响。增加初始干密度和降低膨润土含量可使混合物变形协调,减少收缩变形的各向异性。膨润土含量M和初始干密度ρ是影响干燥―收缩过程的重要物理量,与Cornelis收缩模型中的拟合参数及最终孔隙比e_0具有很好的相关性。同等干密度条件下,随膨润土含量降低,压实膨-砂混合样的微观结构形态趋于致密化的趋势,从而有效地抑制了干燥收缩过程中裂隙发育与演化程度。     

Implicit Treatment of Compositional Flow

In basin modeling the thermodynamics of a multicomponent multiphase fluid flux are computationally too expensive when derived from a cubic equation of state and the Gibbs equality constraints. In this article we present an alternative implicit molar mass formulation technique using binary mixture thermodynamics. The two proposed solution methods are based on a hybrid smoother, Gauss–Seidel–Galerkin at each time-step with analytical computation of the derivatives. The new algorithm overcomes the difficulty of choosing an optimal relaxation parameter and reduce significantly the numerical effort for the computation of the molar masses. Numerical results are presented which show significant improvements with respect to previous methods.     

湖泊亚像元填图算法研究

湖泊面积变化监测具有重要的科学和社会意义,使用中低分辨率卫星遥感数据进行大面积的湖泊面积变化监测有很多优势,但易受混合像元的影响。本文根据湖泊水体的遥感特性,发展了使用中低分辨率卫星遥感数据的混合像元分解算法,应用线性多端元混合像元分解技术,自动、快速地得到在每个像元中湖泊所占的面积百分比;在上述分类结果的基础上,基于地物的空间依存现象,建立空间吸引力的概念,用循环迭代的方法实现超过遥感影像自身分辨率的湖泊亚像元填图。在针对青藏高原不同季节不同地区的Modis影像的实践中,显示混合像元分解算法可以提供较高精度的软分类结果;使用迭代方法进行亚像元填图是简单高效的,具有很大的应用潜力。     

论北天山西段奥陶纪含笔石地层及笔石群的划分

笔者把下奥陶统新二台组分为三个岩性段,下奥陶统新建五个笔石带、北天山西段以笔石带化石的混生为显著特点,除巳公布的Cardiograptus-Oncograptus混生外,Anisograptus和Triograptus的混生为一新的例证、Anisograptus和Triograptus在我国华南它们分别是新厂期X_1和X_2的笔石带化石,而在果子沟它们上延到相当华南新厂期X_3的层位、此两笔石属的个别分子可继续上延到Tetragraptus(Etagraptus)approximatus带的底部和T.fruticosus带、风沟组被厘定为中奥陶统下部.在科古琴地区发现有中奥陶统上部层位和晚奥陶世地层.     

利用混合像元线性分解模型提取卧龙泉地区粘土蚀变信息

利用混合像元线性分解模型提取植被覆盖中等的辽南卧龙泉地区植被丰度图像，并依此进一步提取了该区域的粘土类蚀变信息。在使用混合像元线性分解基本模型的同时，也结合研究目标对其进行了改进与补充，效果令人满意，为中等植被覆盖区的专题信息的提取提供了一种方法。     

Thermomechanical model of hydration swelling in smectitic clays: I two-scale mixture-theory approach

A thermomechanical theory of hydration swelling in smectitic clays is proposed. The clay is treated as a three-scale swelling system wherein macroscopic governing equations are derived by upscaling the microstructure. At the microscale the model has two phases, the disjoint clay platelets and adsorbed water (water between the platelets). At the intermediate (meso) scale (the homogenized microscale) the model consists of clay particles (adsorbed water plus clay platelets) and bulk water. At the macroscale the medium is treated as an homogenized swelling mixture of clay particles and bulk-phase water with thermodynamic properties defined everywhere within the macroscopic body. In Part I, the mesoscopic model governing the swelling of the clay particles is derived using a mixture-theoretic approach and the Coleman and Noll method of exploitation of the entropy inequality. Application of this procedure leads to two-scale governing equations which generalize the classical thermoelastic consolidation model of non-swelling media, as they exhibit additional physico-chemical and viscous-type terms accounting for hydration stresses between the adsorbed fluid and the clay minerals. In Part II the two-scale model is applied to a bentonitic clay used for engineered barrier of nuclear waste repository. The clay buffer is assumed to have monomodal character with most of the water essentially adsorbed. Further, partial results toward a three-scale thermomechanical macroscopic model including the bulk phase next to the swelling particles are derived by homogenizing the two-scale model with the bulk water. A notable consequence of this three-scale approach is that it provides a rational basis for the appearance of a generalized inter-phase mass transfer between adsorbed and bulk water. Copyright © 1999 John Wiley & Sons, Ltd.     

基于支持向量回归的高光谱影像目标探测

高光谱影像目标探测可视为一个分类问题,本文通过揭示支持向量回归(SVR)与支持向量分类(SVC)之间的关系,证明了SVR用于分类的可行性,并以此为根据提出了一种基于SVR的目标探测算法,该算法利用虚拟维数得到端元个数的估计,结合端元选择和线性混合模型生成训练样本替代从影像中选择的训练样本,因而减少了对影像先验知识的依赖。采用模拟数据和由AVIRIS获得的高光谱影像对本文算法进行了检验,结果令人满意。     

Effects of periodic saturation on stress–strain relationship of a sandstone mixture

While a crushed sandstone particle mixture, usually used as an engineering fill, is filled along bank of or in a large reservoir, it is subjected to periodic saturation induced by filling-drawdown cycles of reservoir water. The periodic saturation may induce post-construction settlement, and reduce stability of the filled body. In order to evaluate the effects of periodic saturation on stress–strain relationship of the mixture, several triaxial tests are carried out. According to experimental data, the periodic saturation may induce an increment of axial strain (Δε; <0.226%), a decrement of crest of deviator stress (Δ(σ₁?σ₃)_f; <0.192?MPa) and a decrement of angle of shearing resistance (Δφ; <3.70°). With increment of the number of periodic saturation cycles, the variations of the three parameters may be fitted by logarithmic curves. And with increase in the stress level for periodic saturation, the variations of the three parameters may be fitted by straight lines. Three fitting equations to predict the three parameters’ values, and an equation to calculate the settlement induced by the periodic saturation of a large-area filled foundation, are suggested.     

下垫面非均匀性的模拟

用美国大气科学中心ＧＥＮＥＳＩＳ模式中的陆面过程方案,我们在一个全球大气模式网格尺度范围内,研究了来自非均匀下垫面的水汽,能量等通量。基于３种不同的模拟下垫面非均匀性的方法,即马赛克法、混合法以及显式次网格法,我们设计了４种不同的试验。模拟结果表明,３种方法计算出的结果有很大的不同：地面吸收的太阳辐射差异达４％;感热通量达１２％;潜热通量达６６％;土壤水分可达３０％。这一结果说明有必要用实测数据来检验不同的模拟下垫面非均匀性的方法以及用区域气候模式来模拟下垫面的非均匀性。     

基于弹性参数加权统计的地震岩相预测方法

岩相信息能够反映储层岩性及流体特征,在地震储层预测中具有重要作用.常规方法主要利用与岩相信息关系密切的弹性参数定性或定量地转化为岩相信息.在实际应用中,弹性参数的获取主要基于叠前地震反演技术.而不同弹性参数的叠前地震反演精度间存在着差异,势必影响岩相的整体预测精度.本文提出对弹性参数进行加权统计来预测岩相.首先,基于贝叶斯理论,引入权重系数来调节弹性参数信息的采用量,构建出最终的目标反演函数;其次,考虑到勘探初期缺少明确的测井岩相信息,提出利用高斯混合分布函数来自动估算岩相先验概率;最后,根据输入弹性参数的取值,计算每类岩相对应的后验概率密度,将目标反演函数取最大后验概率密度时对应的岩相类别作为最终预测的岩相.新方法旨在减少弹性参数精度间的精度差异对岩相预测结果的影响,以期提高地震岩相的预测精度.模型与实际资料测试均表明该方法可行、有效且预测精度较高.