滑坡治理中格构锚固结构的解析解分析

在分析格构锚固结构受力的基础上 ,将格构梁简化为受集中力作用的弹性地基上的梁 ,提出了格构锚固结构的力学模型 ,利用 Winkler弹性地基上梁的解析解对格构梁进行了内力和变形的分析 ,发现格构梁的受力状况受弹性特征λ、梁格间距 ls以及悬臂长度影响 ;建议梁长 l与λ宜满足 lλ≥ 2π;采用较小间距的格构梁以及小吨位锚索 ,间距宜满足 lsλ<π/ 2 ,悬臂长度取 (0 .3～ 0 .5 ) ls,并将分析结论应用于三峡库区巴东太矶头东滑坡治理工程的设计中     

安庆铜矿综合治水工程及其评价

介绍安庆铜矿矿山的生产及水文地质概况，指出矿山生产中存在的水文地质、环境地质等问题，提出总体治理方案和实施措施，对治水工程进行了综合评价。     

长江三角洲环境地质调查评价GIS管理系统建设初探

长江三角洲是一个人口稠密、经济高度发达的地区 ,该区地质结构复杂、环境地质条件十分脆弱 ,长期以来因过量开采地下水 ,形成大面积区域性水位降落漏斗 ,诱发了相当严重的地面沉降、地裂缝等地质灾害 ,给当地经济可持续发展带来严重威胁。本文从开展长江三角洲环境地质调查评价的现实意义出发 ,探讨了长江三角洲环境地质调查评价GIS管理系统的系统目标、开发模式以及实现步骤 ,概括介绍了系统所应具有的功能 ,为长江三角洲项目信息系统建设提出了一条可行性思路。     

论滑坡分类

在广泛查阅和总结国内外滑坡分类基础上 ,以滑坡监测预报与防治为目的 ,遵从滑坡活动各要素的地位与作用 ,根据分类体系的完备性需要 ,理清了已有各种滑坡分类的性质及其彼此间的关系 ,并对之进行了科学归纳、取舍和补充 ,建立了具有层次系统性的综合性滑坡分类体系。为建立滑坡监测预报地质模型体系奠定了基础 ,并有助于对滑坡活动的全面研究。     

准噶尔盆地西北缘侏罗系储层

准噶尔盆地西北缘侏罗系陆相碎屑岩储层的岩性差异较大，岩性对物性的控制作用明显。储层的孔隙类型多样，不同类型的孔隙在发育规模、丰度及有效性方面都存在显差异，次生溶蚀孔隙、原生粒间孔隙和残余粒间孔隙是最重要的有效孔隙类型。储层渗透率与孔隙度之间存在较好的半对数相关关系。通过设置一定的孔隙度和渗透率参数界线，对储层储集性能进行评价，将侏罗系储层的孔渗性能划分为5个级别，可与当前流行的砂岩储层孔渗性能分级相对应。通过对大量压汞参数样本的聚类分析，将储层的孔隙结构划分为4个类型。通过各类参数统计及曲线形态对比，对孔隙结构类型进行了定量结合定性的优劣评价。最后，结合孔渗性能级别、储集空间类型、孔隙结构类型、岩性等特征，对准噶尔盆地西北缘侏罗系储层进行了综合分类评价。     

宁镇地区中更新世环境演变的沉积学研究

句容放牛山剖面ESR测年、粒度以及磁化率的研究结果表明,下蜀黄土作为一种受后生成土作用强烈的风尘堆积,其性状与北方黄土差别很大,主要表现为由于成壤作用及次生风化作用导致粘粒含量增多。该剖面揭示出本区中更新世 5个气候暖湿期,分别是 :15 9~ 16 3ka,192ka,195~ 198ka,2 0 3~ 2 30ka与 311~ 35 0ka。其中第一个相对暖湿期不十分明显,在大致同时期的深海氧同位素 (V2 1- 14 6孔 ) 6阶段当中为一个小的气候回暖波动,第 2、3、4气候暖湿期可大致与西峰黄土S2古土壤层所反映的气候温暖事件相对应,可与深海氧同位素 (V2 1- 14 6孔 )第 7氧同位素阶段大致相对比。其中,前 4个温暖期可大致与老虎山下蜀黄土的标准剖面自上而下的 4个埋藏古土壤层相对应。旧石器考古发掘发现 6、7层有石器,从剖面测年资料及各环境代用指标综合分析得出,当时为暖湿的生态环境(即第 5个气候暖湿期 ),较适宜人类活动,与南京汤山猿人洞研究结果相一致。东北地区庙后山下层文化 (14 0 0~2 30ka)以大石片石器为主,文化面貌兼有华北大小两个石器系统的特征。这与该遗址发掘的石器相类似,这可能说明至少在中更新世中期长江河道应在句容以南。     

三峡工程库区巴东县赵树岭滑坡稳定性与防治对策研究

赵树岭滑坡是三峡工程库区的重要滑坡，其稳定性直接关系到巴东新县城沿江大道的安全，并对新县城土地利用意义重大。在阐述赵树岭滑坡基本特征的基础上，运用水岩耦合三维有限元数值方法模拟了滑坡稳定性，预测了三峡水库蓄水后滑坡稳定性发展趋势和渗流特征。研究表明，水库蓄水及水位波动是影响滑坡稳定性的主要因素，三峡水库蓄水后，滑坡将发生局部失稳，必须加以治理，提出了滑坡防治的原则与对策。     

Numerical evaluation of the damping‐solvent extraction method in the frequency domain

The damping‐solvent extraction method for the analysis of unbounded visco‐elastic media is evaluated numerically in the frequency domain in order to investigate the influence of the computational parameters—domain size, amount of artificial damping, and mesh density—on the accuracy of results. An analytical estimate of this influence is presented, and specific questions regarding the influence of the parameters on the results are answered using the analytical estimate and numerical results for two classical problems: the rigid strip and rigid disc footings on a visco‐elastic half‐space with constant hysteretic material damping. As the domain size is increased, the results become more accurate only at lower frequencies, but are essentially unaffected at higher frequencies. Choosing the domain size to ensure that the static stiffness is computed accurately leads to an unnecessarily large domain for analysis at higher frequencies. The results improve by increasing artificial damping but at a slower rate as the total (material plus artificial) damping ratio ζ_t gets closer to 0.866. However, the results do not deteriorate significantly for the larger amounts of artificial damping, suggesting that ζ_t≈0.6 is appropriate; a larger value is not likely to influence the accuracy of results. Presented results do not support the earlier suggestion that similar accuracy can be achieved by a large bounded domain with small damping or by a small domain with larger damping. Copyright © 2002 John Wiley & Sons, Ltd.     

Analysis of Post-Failure Slope Movements within the Framework of Hazard and Risk Analysis

The paper first recalls briefly a methodological framework to assess landslide hazard and risk analysis in terms of predisposition, triggering andrevealing factors. This framework, that reflects the mechanisms involved in the landslide, is based on the Geotechnical Characterisation of slope movements proposed by Vaunat et al. (1994) and Leroueil et al. (1996). The Geotechnical Characterisation can be schematized by a 3-D matrix having the following axes: types of movement; types ofmaterial; and the four stages of movement: pre-failure, failure, post-failure andreactivation. For each relevant element of this 3-D matrix, there is a characterisationsheet including: the controlling laws and parameters, the predisposition factors, thetriggering or aggravating factors, the revealing factors and the consequences of the movement. The paper focuses afterwards on the post-failure stage, which generallyis the most destructive, and on the mobility index. It is shown that this laterindex can be described as the product of sub-indices associated with failure, brittlenessof the material, ability of the soil to develop pore pressures, geometry of the moving soil mass and characteristics of the terrain. It is also shown how these aspectscan be incorporated into the Geotechnical characterisation of slope movements. This seems to provide a rational basis for examining slope movements at the post-failure stage and assessing associated risks.     

Evaluation of the Reduction in Uncertainty Obtained by Conditioning a 3D Stochastic Channel to Multiwell Pressure Data

A stochastic channel embedded in a background facies is conditioned to data observed at wells. The background facies is a fixed rectangular box. The model parameters consist of geometric parameters that describe the shape, size, and location of the channel, and permeability and porosity in the channel and nonchannel facies. We extend methodology previously developed to condition a stochastic channel to well-test pressure data, and well observations of the channel thickness and the depth of the top of the channel. The main objective of this work is to characterize the reduction in uncertainty in channel model parameters and predicted reservoir performance that can be achieved by conditioning to well-test pressure data at one or more wells. Multiple conditional realizations of the geometric parameters and rock properties are generated to evaluate the uncertainty in model parameters. The ensemble of predictions of reservoir performance generated from the suite of realizations provides a Monte Carlo estimate of the uncertainty in future performance predictions. In addition, we provide some insight on how prior variances, data measurement errors, and sensitivity coefficients interact to determine the reduction in model parameters obtained by conditioning to pressure data and examine the value of active and observation well data in resolving model parameters.