共查询到20条相似文献，搜索用时 402 毫秒
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研究了多孔介质中非均匀流动描述方法和流动模式信息特性。依据流道宽度分布信息,对4组染色示踪试验的垂直剖面流动区域进行水平分层,将流道统计信息作为变量,对水平层进行系统聚类分析。结果表明,染色比例和染色区域内流动通道宽度分布是流动聚类分区的主要影响因素。聚类数目为3和8情况下,能够最为有效地表征非均匀流动模式。以垂直方向流动为主,且流动通道连续的情况下,流动分区主要包括全局性均匀流、局部均匀流、均匀流向非均匀流过渡区,以及优先流区。水平方向流动特性较为显著的情况下,则存在多个均匀流向非均匀流动的过渡区。 相似文献
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交叉裂隙作为裂隙网络的基本结构是控制场地尺度非饱和渗流特性的关键。随着流量的减小,交叉裂隙非饱和渗流将从连续、稳定的线状流转变为非连续、非稳定的滴状流,但目前对后者的研究还很少。在滴状流条件下,开展了交叉裂隙非饱和流动特性的理论和试验研究,发现了交叉裂隙滴状流存在毛细力驱动以及重力与毛细力联合驱动两种分流驱动模式。基于瞬态静力平衡方法,提出了一套液滴分流理论及计算模型,实现了动态分流过程的定量化描述与预测。结合模型预测与可视化试验,详细探究了两种模式下液滴的分流过程,阐明了动态分流行为受重力、毛细力、黏滞力共同控制的细观机制,并揭示了液滴长度、裂隙倾角、通道中液体的累积等因素对界面流速、分流体积比例的影响。研究成果为低流量、低饱和度条件下非饱和裂隙岩体渗流的预测与控制提供了理论及试验支撑。 相似文献
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《岩土力学》2017,(1):133-140
传统塑性剪胀模型在描述应力比和塑性应变增量关系时都是基于共轴塑性流动法则,从而认为土体的剪胀性仅与应力比有关。大量试验结果表明,在涉及主应力轴变化的复杂应力条件下塑性流动过程中应力-应变是非共轴的,因而在分析砂土剪胀特性时非共轴是不可忽视的因素。为了研究主应力轴变化的复杂应力条件下非共轴对砂土剪胀特性的影响,利用空心圆柱仪对饱和砂土进行了一系列定轴剪切试验、纯主应力轴旋转试验以及组合加载试验。试验结果表明,不同应力路径下应力-应变非共轴都会引起剪胀曲线偏离Rowe直线,通过Gutiereez提出的考虑非共轴因子的修正剪胀方程可以修正非共轴引起的偏差,从而使得Rowe剪胀方程适用于涉及主应力轴旋转等更加复杂的加载条件。 相似文献
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岩盐弹塑性损伤耦合模型研究 总被引：5，自引：1，他引：4
岩盐力学模型是进行能源岩盐储存工程稳定性分析的基础,而损伤和塑性机制并存且相互耦合是岩盐力学行为的基本特点。采用云应岩盐,进行了多组围压条件下的三轴压缩试验,分析了不同围压下岩盐的变形特征。在试验分析的基础上,提出了一种能够描述岩盐特性的弹塑性损伤耦合的模型,该模型描述了岩盐损伤的演化和塑性变形的耦合关系,并引入了一种非关联的塑性流动法则来描述岩盐从塑性体积压缩到膨胀的转化。采用该模型对在三轴压缩下的岩盐应力-应变关系进行了模拟分析,并与试验数据进行了对比,结果表明该模型能够较好地描述岩盐的主要力学和变形特性。 相似文献
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Digital simulation of the scale effect in hydraulic conductivity 总被引：1，自引：1，他引：0
Charles W. Rovey II. 《Hydrogeology Journal》1998,6(2):216-225
Measured hydraulic conductivity increases with the scale of testing, but the reason for this increase is not clear. Possibly,
high-conductivity heterogeneities are more effective in raising hydraulic conductivity over the regional scale than at the
local scale. Alternatively, borehole skin and storage effects, among others, can systematically bias the results of small-scale
tests; thus, the increase may simply be an artifact of the test method.
Radial-flow tests were simulated at various scales in digital models of fractured double-porosity media. The mean hydraulic
conductivity increases until the radius of influence in the test exceeds the fracture spacing. Therefore, under radial flow,
hydraulic conductivity is indeed dependent on measurement scale.
The increase in hydraulic conductivity with scale is a natural consequence of heterogeneity. Over short distances, water converging
toward a borehole must generally flow across heterogeneities. Therefore, small-scale tests tend to measure a weighted harmonic
mean of the hydraulic-conductivity field. Over a large area, however, flow is primarily along high-conductivity heterogeneities.
Therefore, large-scale tests approach a weighted arithmetic mean where high-conductivity heterogeneities have a greater influence.
Received, April 1997 Revised, January 1998 Accepted, December 1997 相似文献
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Stefan Bachu 《Tectonophysics》1991,190(2-4):299-314
Heterogeneity is present in geological sedimentary structures at all scales from pore to basin, and its distribution has an impact on transport processes such as heat and fluid flow. The rock masses at any scale need to be characterized by their effective properties at that scale, based on the individual characteristics of the heterogeneous porous medium. The effective thermal and hydraulic conductivity of sediments characterized by a stochastic distribution of heterogeneity is studied using an inverse approach based on numerical experiments. The simulations, covering a large range of conductivity contrasts, are carried out for actual core-scale cases of shale clasts in a sand matrix, and on a diagrammatic cross-section through a clastic sedimentary group at the basin scale.
The effective conductivity depends primarily on the heterogeneity fraction and on the conductivity contrast between heterogeneities and the embedding matrix, a dependency which can be described by a generalized weighted mean model. This model is better suited to estimate the effective conductivity at any scale than other models like the self-consistent, or any of the arithmetic, geometric or harmonic averages. The effective conductivity has an anisotropic character although the individual components are homogeneous and isotropic. The variation in effective conductivity is significant even for small conductivity contrasts, like in heat flow processes, and exhibits an asymptotic behaviour for large conductivity contrasts characteristic of fluid flow processes. The effective conductivity has a second-order dependence on such heterogeneity characteristics as shape, aspect ratio, orientation, and distribution. Depending on these characteristics, the bounds of effective conductivity values can be narrowed further from the extreme bounds expressed by the arithmetic and harmonic averages. 相似文献
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Simulation of groundwater drainage into a tunnel in fractured rock and numerical analysis of leakage remediation, Romeriksporten tunnel, Norway 总被引：1，自引：1，他引：0
Standard geostatistical methods for simulation of heterogeneity were applied to the Romeriksporten tunnel in Norway, where
water was leaking through high-permeable fracture zones into the tunnel while it was under construction, causing drainage
problems on the surface. After the tunnel was completed, artificial infiltration of water into wells drilled from the tunnel
was implemented to control the leakage. Synthetic heterogeneity was generated at a scale sufficiently small to simulate the
effects of remedial actions that were proposed to control the leakage. The flow field depends on the variance of permeabilities
and the covariance model used to generate the heterogeneity. Flow channeling is the most important flow mechanism if the variance
of the permeability field is large compared to the expected value. This condition makes the tunnel leakage difficult to control.
The main effects of permeability changes due to sealing injection are simulated by a simple perturbation of the log-normal
probability density function of the permeability. If flow channeling is the major transport mechanism of water into the tunnel,
implementation of artificial infiltration of water to control the leakage requires previous chemical-sealing injection to
be successful.
Electronic Publication 相似文献
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The behavior of a partially saturated soil during surface‐water infiltration is analyzed by means of an elasto‐plastic constitutive model formulated in terms of effective stress and extended to unsaturated conditions. The model is calibrated considering laboratory‐scale experimental results under suction‐controlled conditions. The wetting process in two collapsing soils, initially loaded at in situ stresses, is simulated by imposing two different boundary conditions: surface ponding and water flow. The stress paths resulting from the imbibition process are analyzed at different points inside the layer. Copyright © 2015 John Wiley & Sons, Ltd. 相似文献
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Particle-tracking simulation offers a fast and robust alternative to conventional numerical discretization techniques for modeling solute transport in subsurface formations. A common challenge is that the modeling scale is typically much larger than the volume scale over which measurements of rock properties are made, and the scale-up of measurements have to be made accounting for the pattern of spatial heterogeneity exhibited at different scales. In this paper, a statistical scale-up procedure developed in our previous work is adopted to estimate coarse-scale (effective) transition time functions for transport modeling, while two significant improvements are proposed: considering the effects of non-stationarity (trend), as well as unresolved (residual) heterogeneity below the fine-scale model. Rock property is modeled as a multivariate random function, which is decomposed into the sum of a trend (which is defined at the same resolution of the transport modeling scale) and a residual (representing all heterogeneities below the transport modeling scale). To construct realizations of a given rock property at the transport modeling scale, multiple realizations of the residual components are sampled. Next, a flow-based technique is adopted to compute the effective transport parameters: firstly, it is assumed that additional unresolved heterogeneities occurring below the fine scale can be described by a probabilistic transit time distribution; secondly, multiple realizations of the rock property, with the same physical size as the transport modeling scale, are generated; thirdly, each realization is subjected to particle-tracking simulation; finally, probability distributions of effective transition time function are estimated by matching the corresponding effluent history for each realization with an equivalent medium consisting of averaged homogeneous rock properties and aggregating results from all realizations. The proposed method is flexible that it does not invoke any explicit assumption regarding the multivariate distribution of the heterogeneity. 相似文献
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以封丘地区典型的4种土地利用类型(传统耕作地、免耕地、金银花地和杨树林地)为例,系统研究了不同土地利用方式下土壤入渗特性的空间变异强度、空间变异结构及其主要变异源。结果表明,频繁的耕作会降低土壤异质性,弱化土壤特性空间变异结构,扰动较小的免耕地和金银花地的土壤入渗特性则具有相对明显的空间变异结构,扰动最小的杨树林地土壤的入渗特性具有最为明显的空间变异结构和最小的变程。容重、有机质含量和初始含水量是耕作地入渗的最主要变异源,初始含水量则是金银花地入渗的唯一显著性变异源;杨树林地入渗变异的主要变异源是有机质和初始含水量;影响免耕地入渗特性变异的变异源并不显著。在有些情况下,水温也可能成为入渗特性空间变异研究的重要干扰因素。 相似文献
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One‐dimensional analytical solution for mesoscopic flow induced damping in a double‐porosity dual‐permeability material 
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下载免费PDF全文 Heterogeneities, such as fractures and cracks, are ubiquitous in porous rocks. Mesoscopic heterogeneities, that is, heterogeneities on length scales much larger than typical pore size but much smaller than the wavelength, are increasingly believed to be responsible for significant wave energy loss in the seismic frequency band. When a compressional wave stresses a material containing mesoscopic heterogeneities, the more compliant parts of the material (e.g., fractures and cracks) respond with a greater fluid pressure than the stiffer portions (e.g., matrix pores). The induced fluid flow, resulting from the pressure gradients developed on such scale, is called mesoscopic flow. In the present study, the double‐porosity dual‐permeability model is adopted to incorporate mesoscopic heterogeneities into rock models to account for the attenuation of wave energy. Based on the model, the damping effect due to mesoscopic flow in a one‐dimensional porous structure is investigated. Analytical solutions for several boundary‐value problems are obtained in the frequency domain. The dynamic responses of infinite and finite porous layer are examined. Numerical calculations show that the damping effect of mesoscopic flow is significant on the pore pressure response and the resulting effective stress. For the displacement, the effect is seen only at the very low frequency range or near the resonance frequencies. Copyright © 2017 John Wiley & Sons, Ltd. 相似文献
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采用一维积水垂直入渗法测定含碎石土壤的入渗过程,分析碎石含量和碎石组成对土壤水分运动影响。对试验数据采用Kostiakov入渗公式拟合,得出反映入渗速率的拟合参数比值与土石比成幂函数关系;采用简略的Philip垂直入渗方程幂级数解拟合湿润峰随时间的变化,拟合精度高,并发现拟合参数与土石比仍成幂函数关系。采用简单相关分析碎石粒径对入渗过程影响,得出粒径2~3 mm碎石与入渗过程成显著的负相关关系,而>25 mm碎石有利于入渗。研究结果可为含碎石土壤的水循环提供重要的基础。 相似文献
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A hierarchical scale-up framework is formulated to study the scaling characteristics of reservoir attributes and input dispersivities at the transport modeling scale, where heterogeneity distribution exhibits both non-stationarity (trend) and sub-scale variability. The proposed method is flexible to handle heterogeneities occurring at multiple scales, without any explicit assumption regarding the multivariate distribution of the heterogeneity. This paper extends our previous work by incorporating the effects of non-stationarity into the modeling workflow. Rock property at a given location is modeled as a random variable, which is decomposed into the sum of a trend (available on the same resolution of the transport modeling scale) and a residual component (defined at a much smaller scale). First, to scale up the residual component to the transport modeling scale, the corresponding volume variance is computed; by sampling numerous sets of “conditioning data” via bootstrapping and constructing multiple realizations of the residual components at the transport modeling, uncertainty due to this scale-up process is captured. Next, to compute the input dispersivity at the transport modeling scale, a flow-based technique is adopted: multiple geostatistical realizations of the same physical size as the transport modeling scale are generated to describe the spatial heterogeneity below the modeling scale. Each realization is subjected to particle-tracking simulation. Effective longitudinal and transverse dispersivities are estimated by minimizing the difference in effluent history for each realization and that of an equivalent average medium. Probability distributions of effective dispersivities are established by aggregating results from all realizations. The results demonstrate that both large-scale non-stationarity and sub-scale variability are both contributing to anomalous non-Fickian behavior. In comparison with our previous work, which ignored large-scale non-stationarity, the non-Fickian characteristics observed in this study is dramatically more pronounced. 相似文献