On Geomentality

Geomentality is an established and lasting frame (state) of mind regarding the environment. It is necessarily translated into a geographical behavioral pattern and is reflected in a pattern of cultural landscape. An individual or a group of people can hold a geomentality about a particular environment. What an architect's plan is to a building, a geomentality is to a pattern of cultural landscape. Geomentality is ultimately responsible for the development of a cultural landscape pattern. Determining a geomentality is therefore the key in explaining a pattern of cultural landscape more profoundly than is possible by some conventional methods.     

粗粒碎屑岩砾石定向性定量表征方法及应用

砾石定向性可用于辅助判断粗粒沉积物沉积环境的介质动力性质与强度。在岩芯图像分析与测量的基础上,运用砾石长轴视倾角玫瑰花图中任意相邻三个小扇形的半径之和的最大值（参数a）和小扇形半径大小偏离程度（参数σ）对玛湖地区百口泉组砂砾岩中砾石定向性进行等级划分和定量表征。通过该方法的应用,建立了该区不同级别砾石定向性的定量划分方案:有明显定向性（a大于35%且σ大于4）、有一定定向性（a大于35%且σ小于4）、有模糊定向性（a小于35%且σ大于4）、定向性杂乱（a小于35%且σ小于4）。并对研究区典型季节性辫状河道和暂时性辫状河道的定向性进行了实测,结果表明季节性辫状河道中σ为4.8~8.13,a为40%~62%,而暂时性辫状河道中σ小于4,a小于35%。该方法能够有效表征砾石定向性,并为沉积环境判断提供依据。     

基于遗传算法的岩土力学参数反演及其在 ABAQUS中的实现

岩土工程优化反分析是一个典型的复杂非线性函数优化问题,采用全局优化算法是解决这个问题的理想途径。结合ABAQUS有限元软件,提出遗传算法与有限元联合反演法,将有限元程序作为一个单独模块嵌入到遗传算法程序中,以测点的实测值与计算值建立误差函数,编制了遗传算法反演分析程序。并给出应用实例验证了该法的有效性,表明该方法可应用于岩土工程中的反演分析工作。     

Smoothing unit vector fields

Data, each consisting of a unit vector and a position, are modeled as a smooth unit vector field plus random directional errors; the smooth unit vector field is estimated by fitting a spline to observations. The estimate is nonlinear; it is obtained with an iterative procedure in which, at each step, a least-squares smoothing spline is fitted to a set of pseudovalues. The resulting estimate is exemplified with a data set extracted from the literature in geology. The proposed estimate is compared, using the same data set with that obtained through suggestions of other authors, and is found to have attractive qualities. The use of plots of the resulting estimate to find the appropriate value of the smoothing parameter is emphasized throughout.     

随机信号过程与矿床产出模型导出

将一个矿床的产出抽象化为一个随机信号的发生,由此导出一递推微分方程组,解之得普阿松分布。证明矿床的产出过程是一个普阿松过程,进而用Γ—分布表述了其参数λ,引出了负二项分布,给出了一个完整的推导过程。     

A boundary integral method for steady flow in unsaturated porous media

The governing equation for steady flow in a homogeneous, partially saturated, porous medium can be written in a linear form if one adopts a hydraulic conductivity function which varies exponentially with capillary-pressure head. The resulting linear field equation is a steady Fokker–Planck equation and is well-suited to numerical solution by the boundary integral equation method (BIEM). The exponential conductivity function is often used in soil physics and is known to be a reasonable approximation over limited ranges of pressure head. A computer code based on the BIEM for obtaining numerical solutions is described and tested. The BIEM is found to exhibit quadratic convergence with element size reduction on smooth solutions and on singular problems, if mesh grading is used. Agreement between results from the BIEM code and a finite element code that solves the fully non-linear problem is excellent, and is achieved at a substantial advantage in computer processing time. As an illustrative example, the code is applied to determine the distribution of moisture in the vicinity of a tunnel.     

Smoothing unit vector fields

Data, each consisting of a unit vector and a position, are modeled as a smooth unit vector field plus random directional errors; the smooth unit vector field is estimated by fitting a spline to observations. The estimate is nonlinear; it is obtained with an iterative procedure in which, at each step, a least-squares smoothing spline is fitted to a set of pseudovalues. The resulting estimate is exemplified with a data set extracted from the literature in geology. The proposed estimate is compared, using the same data set with that obtained through suggestions of other authors, and is found to have attractive qualities. The use of plots of the resulting estimate to find the appropriate value of the smoothing parameter is emphasized throughout.     

简单斜坡油气富集规律——以松辽盆地西部斜坡北段为例

斜坡是断陷和凹陷型盆地的重要构造单元,按其断裂发育程度和沉积厚度分为复杂斜坡和简单斜坡。松辽盆地西部斜坡为断裂不发育、平缓的简单斜坡,简单斜坡油气成藏有特殊性,表现在三个方面：一是简单斜坡的原油主要来自临近的凹陷,油气沿砂体以优势路径方式侧向运移,油气呈“线状”分布;二是简单斜坡大规模构造圈闭不发育,圈闭类型以地层、岩性和构造-岩性圈闭为主,其分布受构造带控制,超覆带发育岩性上倾尖灭圈闭,受规模较大的断层控制形成的鼻状构造带上发育断层遮挡和构造-岩性圈闭,不受断层控制的鼻状构造带主要发育构造-岩性圈闭。三是简单斜坡普遍受大气水的淋滤作用,由于游离氧的进入使原油遭受氧化降解作用而稠化,造成简单斜坡稠油分布普遍。这种成藏的特殊性决定了油气富集规律：只有位于油气运移路径上的圈闭才有成藏的可能。简单斜坡油气勘探方向是,在油气运移路径上寻找低幅度构造背景下的岩性油气藏（小规模）、规模较大断层附近寻找断层遮挡油气藏（中等规模）和地层超覆带上寻找岩性上倾尖灭油气藏（大规模）。     

古尔班通古特沙漠工程地质问题--以输水工程为例

沙漠的工程地质问题随工程类型的不同而不同。本文以输水工程为例,概要地论述了沙漠工程地质问题。风沙危害是沙漠中带有普遍性的问题,频繁而强劲的风力和地表充足的砂粒为风沙危害提供了条件;砂土湿陷性主要与其密度大小有关,当砂的干密度达到1 64g cm3时,湿陷性系数均小于0 015,即可消除湿陷性;渗透变形的形式为流土,破坏临界比降为0 9～1 73,属抗渗能力低的细粒砂土;天然沙漠砂为不冻胀砂,当含水量≤18%时为不冻胀—弱冻胀砂,饱和时为冻胀砂;挖方形成的高边坡在风蚀作用下使坡面增长,裸砂面积加大,加剧对渠道的淤积。     

Slipping strip analysis of reinforced earth

Reinforced earth in plane strain is idealized as a homogeneous material with the strips attached to the elastic soil matirx by a conceptual shear zone. A ‘no-slip’ finite element model is derived by assigning a large shear modulus to the shear zone. Relaxation of this modulus using a tangential stiffness algorithm in conjunction with a Mohr–Coulomb strip-slip criterion allows slipping to be simulated. The finite element formulation is validated and the finite element discretization assessed by comparisons against exact solutions for a simple test problem. An idealized reinforced earth wall example is used to demonstrate the feasibility of the method and to answer the question: ‘is slipping significant?’ The method is shown to be potentially useful, and slipping is shown to be significant.     

地理信息模型方法初探河流环境容量——以漓江桂林市区段为例

运用地理信息建模的方法,对复杂的岩溶山区河流——漓江桂林市区段的水环境容量进行了研究,探讨了地理信息建模方法在水环境容量计算方面的应用,建立了漓江桂林市区段水环境容量的地理信息模型,并对其进行了验证。结果表明:地理信息模型方法在计算较复杂河段水环境容量时,既简便又能取得较理想的计算结果。     

A theoretical method for determining sample mass in a sieving test

Obtaining a representative particle size distribution for soil is a common challenge in earth works and is affected by the size of sieving samples. While the current standards usually specify a minimum sample mass, there is no scientific justification for the specification. Treating the preparation of sieving samples as a process of random sampling, a new method is proposed for determining the minimum mass of a sieving test sample. The proposed method is validated via laboratory tests and will improve standard specification and engineering practice.     

Bearing capacity of soft soil model treated with end-bearing bottom ash columns

Granular column technique is a soil improvement method used to increase the bearing capacity of a soft soil area by replacing the soil with a group of granular column materials. The by-product utilisation is a worldwide interest for sustainable infrastructure development. Bottom ash, which is a combustion deposit derived from coal burning, is a potential by-product that could be used alternatively to sand or aggregate as a green granular column material. This research is to study the potential use of the bottom ash column-improved soft clay by conducting a series of small-scale physical modelling test. The bearing capacity behaviour and failure mode of soft clay improved with end-bearing group of bottom ash columns with and without geotextile encasement are investigated. The bearing capacity of soft clay is significantly enhanced by the inclusion of bottom ash columns; that is, 239% of bearing capacity improvement is observed with only 13% of improvement area. The bulging of the bottom ash column is transferred to buckling failure with higher bearing capacity when the bottom ash column is encased by geotextile. The outcome of this research leads to the usage of bottom ash by-product as a granular column material in sustainable soil improvement technique.     

大型渠系联合运行状态空间模型不确定性的描述与度量

多渠段联合的自动化运行是现代节水农业的重要发展趋势之一,也是现阶段南水北调中线运行控制的关键技术问题,其控制器的设计求解依赖于线性化的系统数学模型,而多渠段系统本身是高度非线性耦合系统。针对所建立的多渠段多输入多输出(MIMO)模型,对其不确定性的来源做分类分析,作为系统鲁棒控制器设计的基础。将线性化的模型作为标称模型,不确定性采用模型之间差异矩阵的最大奇异值表示。以一个六渠段串联的算例进行求解,得出其模型不确定性的定量描述。     

Multiscale segmentation of well logs

Examination of well logs leads to the observation that they exhibit characteristic behavior over a wide range of scales, differing from a foot to hundreds of feet. This behavior is not accounted for in conventional segmentation methods. The segmentation method that is proposed here aims to solve this problem. It is based on a multiscale representation of the well log. This is a representation of the well log at different levels of smoothness. The behavior of edges, which are associated with extrema of the first derivative, across scales is of great importance in the segmentation. Analysis of this behavior leads to a multiscale segmentation of the well log, in which a fine-scale segment is a part of one coarse scale segment only. In this way the geologist is able to analyze the log at different scales simultaneously. An extension of this approach is not to preserve all fine-scale information but to zoom in only on parts of the log where it is considered to be of interest.     

Time-Series Reconstruction from Natural Archive Data with the Averaging Effect Taken into Account

Environmental information of the past can be obtained by processing and analyzing proxies recorded by environmental archives. Natural archives are sampled at a distance grid along their accretion axis. Starting from these distance series, a time series needs to be constructed, because comparison of different data records is only meaningful on a time grid. However, distance–time relationships are nonlinear as the accretion rate of natural archives is dependent on environmental and physiological factors. Furthermore, in environmental archives, samples are taken over a volume in distance, rather than over a point in distance. This implies that the sample-values will be averaged over the volume of the sample. In this paper a method is proposed, which establishes the nonlinear distance–time relationship and corrects for the averaging effects. The method is built upon the assumption that the proxy record on a time axis is harmonic. If this is not the case, then a harmonic approximation is made. As a consequence of the nonlinear distance–time relationship, this harmonic proxy signal is nonlinearly distorted on a distance axis. As such, a harmonic signal model with a nonlinear phase distortion and an averaging effect is fitted on the data. Since environmental records are short data records, the statistical performance of the estimator on noisy data is verified by means of Monte Carlo simulations. The applicability of the method is demonstrated on the measurement of the vessel density, in a mangrove tree, Rhizophora mucronata, which is an indicator of the rainfall in tropical coastal ecosystems.     

Sheetfloods,sheetwash, sheetflow,or ... ?

Following McGee's (1897) use of the term sheetflood, there developed a variety of conflicting opinions and numerous terminologies relating to this process, many of which are ill-considered and poorly defined. A classification system is devised on both a hydrologic and geomorphic basis which dispenses with many superfluous terms that have been used with respect to sheetfloods. Magnitude of a storm is expressed in terms of the amount of surface runoff generated from a given storm due to the surface conditions.A sheetflood is defined as a sheet of unconfined flood water moving down a slope. The frequency of a sheetflood is relatively low while its magnitude is relatively great. Sheetflow is defined as relatively high-frequency, low-magnitude overland flow occurring in a continuous sheet and is restricted to laminar flow conditions. Sheetwash, a term of geomorphic origin, is considered to be redundant and is superseded by the more meaningful term rainwash defined as the washing action of rain on slopes.     

Distribution of hydrocarbon accumulations in a basin: a mathematical model for the West Siberian petroleum province

The distribution of hydrocarbon accumulations in a basin is modeled as a nonstationary Poisson field of points with the average density of accumulations as a function of distance from the basin margin. The model, in which this distance is a unique parameter to define the intensity function, is suitable, in a first approximation, for Monte-Carlo simulation of the real pattern of accumulations. The Poisson random field of points is described with a power function, where the power is a fractal dimension used as an integral numerical parameter of the distribution.     

Reliability-based robust geotechnical design of spread foundations using multi-objective genetic algorithm

This paper presents a new geotechnical design concept, called robust geotechnical design (RGD). The new design methodology seeks to achieve a certain level of design robustness, in addition to meeting safety and cost requirements. Here, a design is considered robust if the variation in the system response is insensitive to the variation of noise factors such as uncertain soil parameters and construction quality. When multiple objectives are considered, a single best design may not exist, and a trade-off may be necessary. In such a case, a genetic algorithm is adopted for multi-objective optimization and a Pareto Front, which describes a trade-off relationship between cost and robustness at a given safety level, is established. The new design methodology is illustrated with an example of spread foundation design. The significance of the RGD methodology is demonstrated.