2009年兰州市九州石峡口滑坡成因及其西侧高边坡稳定性研究

2009年5月16日兰州市九州石峡口小区西侧山体发生滑坡灾害,造成重大生命和财产损失。本文对石峡口滑坡的特征和成因进行了系统研究,认为滑坡区高陡的地形、不合理的绿化灌溉和不良的岩土体工程地质性质是诱发该滑坡的主要因素。在分析石峡口滑坡成因的基础上对与该滑坡相邻的西侧高边坡进行了稳定性研究,采用有限元强度折减法计算出潜在滑面的位置和稳定系数,并和极限平衡法计算结果做比较,结果表明有限元强度折减法与传统极限平衡法计算的稳定性系数很接近,增强了计算结果的可靠性。     

攀钢,攀矿场地边坡地震稳定性研究

本文在总结分析攀钢、攀矿昔格达层滑坡基本特征的基础上,对区内滑坡进行了地震稳定性计算,给出了经不同方法治理后的滑坡的地震稳定系数;同时采用“因子迭加”方法对究研区进行边坡稳定性区划,划分出相对的稳定区、欠稳定区和不稳定区,为抗震减灾和土地的开发利用提供了科学依据。     

云南鲁甸溶蚀堆积体滑坡研究——以龙头山镇葫芦桥滑坡为例

中国西南山区的可溶岩地区侵蚀、溶蚀谷地的溶蚀堆积体斜坡坡面露头看似完整,内部实则松散、透水且易滑。云南鲁甸县龙头山葫芦桥滑坡属于典型溶蚀堆积体滑坡,通过对其水文地质条件、工程地质条件和降雨等影响因素的分析,认为持续降雨和地震是该滑坡灾害发生的主要诱发因素。在取样测得岩土层物理力学参数的基础上,采用Geo-Slope软件进行稳定性分析。计算结果表明,该滑坡在天然状态下处于较稳定状态,稳定性系数为1.287;降雨、地震、降雨+地震三种工况下稳定性系数均小于1,处于不稳定状态。计算结果与该滑坡实际滑动状况相符,可为同类型滑坡的调查研究提供实例借鉴。     

大渡河干海子滑坡稳定性研究

干海子滑坡位于大渡河流域,规模巨大。为研究该滑坡的稳定性,在对滑坡基本特征及变形破坏特征等深入研究的基础上,采用极限平衡法（Geo-slope软件）和有限差分法（FLAC-3D软件）对该滑坡的稳定性和应力应变特征进行了计算、模拟。稳定性计算模拟主要从深层、浅层及局部稳定三方面入手分析,计算模拟结果与滑坡的宏观地质现象均具有较高的吻合度。通过对该滑坡定性与定量的稳定性分析,判断其浅层滑体在暴雨工况下将处于极限平衡状态,而深层滑体在地震工况下依旧处于基本稳定状态,所得结论为下一步滑坡防治工作提供了翔实的依据。     

天水市水眼寨滑坡特征及稳定性分析

在对天水市水眼寨滑坡进行地质勘察和现场调查的基础上,结合区域环境研究滑坡的主要特征,分析地形条件、地层岩性、地质构造、地震、降水和人类活动对滑坡的影响,并利用GeoStudio计算软件,运用多种稳定性评价方法对滑坡静力和不同地震强度作用下的动力稳定性进行计算分析。结果表明,水眼寨滑坡属于黄土—泥岩滑坡,经过多期滑动,滑坡物质和滑坡体具有显著地平面分区性和剖面分层性,地层岩性和地质构造运动是其形成的主要内因,降水和地震是影响其稳定性重要外因。滑坡目前处于稳定状态,但未来环境变化会导致该滑坡稳定性降低,在Ⅶ度地震作用影响下该滑坡处于极限平衡状态,在Ⅶ度强以上地震作用影响下（＞0.15 g）,该滑坡稳定性大为降低,存在复活的可能性。     

基于GeoStudio的滑坡稳定性计算方法对比分析

为了解决滑坡治理过程中的稳定性分析问题,将GeoStudio软件应用于滑坡稳定性分析计算中。以陕西巨亭滑坡为例,采用极限平衡法、滑面应力分析的有限元法分别进行了稳定性计算。对比分析2种计算方法得到的安全系数和潜在滑动面得出：安全系数较勾接近,但有限元法得出的潜在滑动面更准确。GeoStudio软件可以方便的计算出边坡安全系数,直观的表达出潜在滑动面,为滑坡的治理分析提供可靠依据。     

大型高位堆积体滑坡稳定性分析与数值模拟

青藏高原边缘地带堆积体滑坡的发生与地质构造、强降雨、地震等作用密切相关,其中多数属于大型高位堆积体滑坡。为研究其发生机理与稳定性,以舟曲县江顶崖大型高位堆积体滑坡为研究对象,首先,从滑坡所处的地理位置、地质条件等出发,分析滑坡的概况与成因;其次,基于传统传递系数法划分滑坡计算模型,提出滑坡稳定性分析的变坡法;最后,采用Midas GTS NX软件对江顶崖滑坡自然工况下稳定性进行数值模拟分析,并与传统及改进算法结果进行对比。研究结果表明：(1)研究区的地形坡度、地层岩性条件以及活动断裂、历史强震作用是滑坡发生的内因,外因是连续强降雨作用使岩土体力学强度降低以及暴雨导致滑坡前缘的白龙江水位上涨、流速加快,冲刷坡脚导致前缘失稳,滑坡中后缘发生牵引式滑动;(2)运用传递系数法计算折线形滑坡稳定性时,滑面倾角变化值大于10°会导致结果出现较大误差,应用改进的“等分均匀变坡法”可以减小误差,以江顶崖滑坡为计算实例并结合数值模拟验证该方法的有效性;(3)自然工况下模拟发现,滑体的前缘主要表现为水平滑移,滑体的中后部局部主要表现为垂直下沉,而滑坡前缘则主要表现为隆起,因此,滑坡部分区域出现了较大的位移...     

滑坡稳定性评价中地震作用力计算的讨论

阐述了目前国内外在滑坡地震稳定性评价方面的理论研究成果和实际应用情况,指出地质矿产行业规范在采用静力法计算地震力时没有乘以0.25的综合影响系数,和其它规范的差别是巨大的.分析后认为这个规定是值得商榷的.最后根据宏观震害现象提出易引起滑坡的地质情况并对其进行了分析,为滑坡治理工程设计和以后的规范修编提供了方法和思路.     

四川德阳地区龙风水库西岸滑坡稳定性分析及防治

本文在对四川德阳地区龙风水库西岸滑坡的地质地貌条件及变形迹象进行深入调查的基础上,对该滑坡的主要成因及稳定性进行了分析与评价,并有针对性地提出了工程防治方案。研究表明,疏松透水的土层、较强的降雨以及人类耕作活动是导致滑坡发生的主要因素。在天然状态下该滑坡稳定或基本稳定;在天然＋地震状态下,该滑坡欠稳定或不稳定;在连续高强度降雨状态下,该滑坡不稳定。故采取截、排水及抗滑桩等工程措施是防治该滑坡的有效方案。     

陕西铜川新区典型滑坡在不同强度地震作用下的稳定性——以铜川玉皇阁水库滑坡为例

采用极限平衡法和有限元强度折减法,对地震作用下的陕西铜川新区玉皇阁水库滑坡的稳定性进行计算分析,对比分析2种方法在天然、中震、大震3个工况下的安全系数,结果基本吻合,且随着地震动峰值加速度的增大边坡稳定性逐渐降低,安全系数最大降低幅度可达18%;根据计算结果进行稳定性评价,玉皇阁水库滑坡在大震作用下处于不稳定状态,中震作用下其稳定性也较低。该结果为该滑坡风险评价和防控提供参考,为铜川新区地震地质灾害评价提供基础性参考。     

黄土随机振动强度参数在地震滑坡分析中的应用

地震滑坡往往是黄土地区最突出而且最严重的灾害类型。为了寻求黄土地区震害预测方法,作者选择了位于1920年海原大震10度区内的回回川滑坡进行具体研究。分析中运用了输入随机地震动时程的不规则波动三轴仪强度试验所得的参数。在稳定性分析中采用了求解临界地震系数的方法,反演得出回回川滑坡形成前原始斜坡坡角为5°—15°的安全系数为3.3,是一个相当稳定的斜坡。而在地震力作用下,在具有相当于地震烈度8度强或9度弱的地震动加速度时就产生滑动。反演结果与实际较吻合,说明本文提出的方法是分析滑坡形成规律和对黄土斜坡进行稳定性分析的切合实际且较为准确的方法。     

地震诱发滑坡的危险性分析与预测

结合地震滑坡的特点和相关文献研究,介绍了地震力的分析方法、地震滑坡的机理、地震危险性分析的方法、地震活动性参数的确定方法以及场点地震危险性概率计算原则。将两种地震诱发滑坡预测结果进行对比,分析结果表明,地震滑坡危险区主要集中在中国西部地区（川、滇、甘、陕、新疆等省区）及中国台湾地区,随预测年限的增加场地的地震滑坡危险性也随之增高,地震崩塌滑坡的危险区域明显加大。     

基于人工边坡稳定性的降雨型滑坡预警预报模型设计与应用

由削坡建房遗留的人工边坡存在大量滑坡隐患问题,在降雨引发土质边坡自身动力变化分析条件下,以稳定性评价建模为基础,提出降雨型滑坡动力学预警预报模型。文中以广东省梅州市花岗岩地区为例,使用GIS技术构建了1 727个预警分析单元,并进行关键地质环境因子赋值及与气象站点数据关联;按坡高、坡度等参数,分别构建16个边坡失稳动力学预警模块,并根据降雨量变化,计算边坡稳定性系数,最终按其阈值确定风险等级并予以预警。本研究对于推动人工边坡诱发的滑坡地质灾害预警预报与预防均具有重要意义。     

RESTORATION OF THE ORIGINAL TOPOGRAPHY OF THE XIAONANHAI LANDSLIDE IN CHONGQING AND CALCULATION OF ITS VOLUME

As documented in history, an M6¼ earthquake occurred between Qianjiang, Chongqing and Xianfeng, Hubei(also named the Daluba event)in 1856. This earthquake caused serious geological hazards, including a lot of landslides at Xiaonanhai, Wangdahai, Zhangshangjie and other places. Among them, the Xiaonanhai landslide is a gigantic one, which buried a village and blocked the river, creating a quake lake that has been preserved to this day. As the Xiaonanhai landslide is a historical earthquake-induced landslide, it is impossible to obtain the remote sensing image and DEM data before the earthquake, which brings certain difficulties to the estimation of landslide volume and the establishment of numerical simulation model. In this paper, the original topography before the earthquake is inferred by the methods of geomorphic analogy in adjacent areas and numerical simulation, and the volume of the Xiaonanhai landslide body is calculated. Firstly, the principle and application of UAV aerial photography are introduced. We employed an unmanned airplane to take pictures of the Xiaonanhai landslide and adjacent areas, yielding high-precision DOM images(digital orthophoto graph)and DEM data which permit generating terrain contours with a 25m interval. We also used the method of intensive manual depth measurement in waters to obtain the DEM data of bottom topography of Xiaonanhai quake lake. Based on field investigations, and combining terrain contours and DOM images, we described the sizes and forms of each slump mass in detail. Secondly, considering that the internal and external dynamic geological processes of shaping landforms in the same place are basically the same, the landforms such as ridges and valleys are also basically similar. Therefore, combining with the surrounding topography and landform of the Xiaonanhai area, we used MATLAB software to reconstruct two possible original landform models before the landslide. The original topography presented by model A is a relatively gentle slope, with a slope of 40°~50°, and the original topography presented by model B is a very high and steep slope, with a slope of 70°~80°. Thirdly, Geostudio software is used to conduct numerical simulation analysis on the slope stability. The safety factor of slope stability and the scale of landslide are analyzed under the conditions of static stability, seismic dynamic response and seismic dynamic response considering topographic amplification effect. The results show that large landslide is more likely to occur in model B, which is more consistent with the reality. In order to verify the credibility of recovered DEM data of valley bottom topography, we visited the government of Qianjiang District, collected the drilling data of 11 boreholes in two survey lines of Xiaonanhai weir dam. It is verified that the recovered valley bottom elevation is basically consistent with that revealed by the borehole data. Finally, according to the two kinds of topographic data before and after the landslide, the volume of the landslide is calculated by using the filling and excavation analysis function of ArcGIS software. There is a gap between the calculation results of filling and excavation, the filling data is 3×10⁶m³ larger than the excavation data. The reasons are mainly as follows: 1)Due to the disorderly accumulation of collapse blocks, the porosity of the accumulation body became larger, causing the volume of the fill to expand; 2)It has been more than 150a since the Xiaonanhai earthquake, and the landslide accumulation has been seriously reconstructed, therefore, there are some errors in the filling data; 3)The accumulation body in Xiaonanhai quake lake might be subject to erosion and siltation, this may affect the accuracy of the filling data. In conclusion, it is considered that the calculated results of the excavation are relatively reliable, with a volume of 4.3×10⁷m³.     

How hydrological factors initiate instability in a model sandy slope

Knowledge of the mechanisms of rain‐induced shallow landslides can improve the prediction of their occurrence and mitigate subsequent sediment disasters. Here, we examine an artificial slope's subsurface hydrology and propose a new slope stability analysis that includes seepage force and the down‐slope transfer of excess shear forces. We measured pore water pressure and volumetric water content immediately prior to a shallow landslide on an artificial sandy slope of 32°: The direction of the subsurface flow shifted from downward to parallel to the slope in the deepest part of the landslide mass, and this shift coincided with the start of soil displacement. A slope stability analysis that was restricted to individual segments of the landslide mass could not explain the initiation of the landslide; however, inclusion of the transfer of excess shear forces from up‐slope to down‐slope segments improved drastically the predictability. The improved stability analysis revealed that an unstable zone expanded down‐slope with an increase in soil water content, showing that the down‐slope soil initially supported the unstable up‐slope soil; destabilization of this down‐slope soil was the eventual trigger of total slope collapse. Initially, the effect of apparent soil cohesion was the most important factor promoting slope stability, but seepage force became the most important factor promoting slope instability closer to the landslide occurrence. These findings indicate that seepage forces, controlled by changes in direction and magnitude of saturated and unsaturated subsurface flows, may be the main cause of shallow landslides in sandy slopes. Copyright © 2013 John Wiley & Sons, Ltd.     

基于粒子群优化算法的边坡临界滑动面搜索方法

采用数值计算结果进行极限平衡分析是边坡稳定性分析的重要方法,最危险滑移面位置的确定是边坡稳定性分析的关键。采用粒子群优化理论控制位于滑移面后缘范围的滑入点和前缘剪出区域的滑出点,以均分逼近法控制滑面半径,实现了边坡内潜在滑移面位置的搜索及安全系数的计算,进而确定了边坡的最小安全系数及最危险潜在滑移面位置,搜索出的滑面不依赖于网格节点。以昆明某公路滑坡为例,将搜索出的最危险滑面与现场勘察成果进行对比,结果表明,采用本文方法计算所得的结果与工程实际较为吻合,证明了该方法的有效性。     

STUDY ON THE DISTRIBUTION PATTERN OF EARTHQUAKE- TRIGGERED LANDSLIDES BASED ON SEISMIC LANDSLIDE SUSCEPTIBILITY ANALYSIS: A CASE STUDY OF LANDSLIDES TRIGGERED BY THE MS6.5 LUDIAN EARTHQUAKE IN 2014

On August 3, 2014, an M_W6.5 earthquake occurred in Ludian County, Yunnan Province, which triggered significant landslides and caused serious ground damages and casualties. Compared with the existing events of earthquake-triggered landslides, the spatial distribution of co-seismic landslides during the Ludian earthquake showed a special pattern. The relationship between the co-seismic landslides and the epicenter or the known faults is not obvious, and the maximum landslide density doesn't appear in the area near the epicenter. Peak ground acceleration (PGA), which usually is used to judge the limit boundary of co-seismic landslide distribution, cannot explain this distribution pattern. Instead of correlating geological and topographic factors with the co-seismic landslide distribution pattern, this study focuses on analyzing the influence of seismic landslide susceptibility on the co-seismic distribution. Seismic landslide susceptibility comes from a calculation of critical acceleration values using a simplified Newmark block model analysis and represents slope stability under seismic loading. Both DEM (SRTM 90m)and geological map (1 ︰ 200^￣￣000)are used as inputs to calculate critical acceleration values. Results show that the most susceptible slopes with the smallest critical accelerations are generally concentrated along the banks of rivers. The stable slopes, which have the larger critical accelerations and are comparably stable, are in the places adjacent to the epicenter. Comparison of the distribution of slope stability and the real landslides triggered by the 2014 M_W6.1 Ludian earthquake shows a good spatial correlation, meaning seismic landslide susceptibility controls the co-seismic landslide distributions to a certain degree. Moreover, our study provides a plausible explanation on the special distribution pattern of Ludian earthquake triggered landslides. Also the paper discusses the advantages of using the seismic landslide susceptibility as a basic map, which will offer an additional tool that can be used to assist in post-disaster response activities as well as seismic landslides hazards zonation.