地震作用下黄土斜坡的稳定性分析预测

基于对中国西部黄土地区大量地震滑坡实例的考察分析,对影响黄土斜坡稳定性的各类因素尤其是地震因素进行了分析,讨论了黄土斜坡滑裂面的产生机制及几何特征．在此基础上提出了一种基于随机搜索法和遗传算法确定黄土斜坡最危险滑裂面,进而对区域黄土地震滑坡进行预测的方法．以回回川滑坡为例进行了验证．结果表明,该方法具有较好的效果和实用性．     

随机地震荷载作用下黄土动强度的试验方法

本文将APPLE—Ⅱ微机与国产动三轴仪联机,对黄土试样直接施加随机地震荷载时程进行动强度试验,提出了在随机地震荷载条件下,从黄土的动应力与积累残余应变关系曲线确定动强度的动三轴试验方法。进而用这种方法做出的动强度参数对1920年海原8.5级大震所引起的回回川黄土滑坡进行了反演,反演结果与宏观震害相符合。     

潜在地震滑坡的概率危险性分析——以陕西陇县为例

采用第五代地震动参数区划图的潜在震源区划分方案并结合Newmark位移模型,基于陇县工程地质岩性特征及地形高程数据,考虑地震动地形放大效应以及Newmark模型参数的不确定性,得出陕西陇县地区的地震动发生率为50年10%水平下滑坡的失稳概率,根据所得结果将研究区的潜在地震滑坡危险程度分为四个等级：极低危险区、低危险区、中危险区、高危险区。中、高危险区主要集中于陇县地区的泥岩、粉砂岩以及黄土覆盖地且斜坡坡度大于40°的地区,其中千河及其通关河两岸部分地区的地震滑坡危险性较高。本文结果可为该地区的地震滑坡风险管理和土地规划提供参考。     

1920年海原地震滑坡密集区的地震动场地效应研究

地震动作为引起地震灾害的原动力,常常通过造成建筑物倒塌、山体滑坡等形式引起大量人员伤亡和财产损失。1920年海原8½级地震,在震中距80 km远的西吉—静宁交界的黄土丘陵区引发了大量的山体滑坡,并造成重大人员伤亡和财产损失。在分析海原地震高烈度区滑坡分布特征的基础上,通过场地调查和数值计算等方法,研究典型滑坡密集场地的地质条件及地震反应特征。研究表明起伏地形和黄土厚度不均等因素造成丘陵山体两侧地震反应的差异,从而导致地震滑坡在斜坡土体较厚的一侧成群连片发育。海原地震造成的滑坡密集区的地形地貌、岩土性质、土层结构等条件决定了该地区地震动随局部场地条件变化非常迅速,地层场地效应和地形场地效应联合作用加剧了斜坡地表的地震动放大作用,增加了触发地震滑坡的动力。     

地震动特性对黄土斜坡稳定性的影响分析

采用弹塑性动力有限元分析方法和Drucker-Prager屈服准则，将基于现行抗震设计规范中的Ⅰ、Ⅲ类场地标准反应谱曲线拟合而成的地震动时程作为地震输入，选取黄土地区典型滑坡类型进行分析计算。通过对不同峰值加速度、频谱、持续时间作用下黄土斜坡的变形破坏特征的分析，展示了土体在地震作用下的动态响应和变化规律，揭示了地震动的工程特性对黄土斜坡稳定性的影响。     

喜家湾地震黄土滑坡形成机理

在喜家湾滑坡现场调查基础上,采集黄土斜坡的原状黄土和滑坡滑带土试样进行了室内试验,分析计算了滑坡土体震陷性和液化可能性;并结合滑坡发生前斜坡在地震作用下的稳定性分析及数值模拟,对该滑坡的形成机理进行了研究。研究表明,地震发生时,斜坡上部黄土产生震陷,结构破坏,下部泥岩面附近处于饱和状态的黄土在很短时间内产生了液化现象,坡体下滑形成震陷—液化复合型滑坡。     

一种适用于黄土斜坡地震稳定性快速评估的综合判别方法——以宁夏西吉县为例

选取宁夏西吉县为目标区,对区内1920年海原8.5级特大地震所诱发的347处黄土地震滑坡进行野外调查,获取了详实的基础数据.在此基础上结合遥感影像解译,总结了研究区内黄土地震滑坡的分布特征,并依此提出了宏观、定性的黄土斜坡地震稳定性快速判别方法.基于分布特征选取了坡高、坡角、坡向及地震动强度作为基本参数,应用MLP神经...     

基于Logistic回归模型的黄土斜坡地震稳定性快速评判方法

黄土地震滑坡是陇西地区黄土丘陵地区的主要地质灾害之一,快速评价黄土斜坡的地震稳定性是陇西地区工程建设规划选址以及地震应急救援的需求。在野外调查及遥感解译获取坡高H、坡角α及估计烈度值I的基础上,运用逻辑回归分析方法,拟合得到研究区黄土斜坡地震稳定性的快速评价经验公式,经回判、判别校验及实例判别应用证明,该经验公式适用于快速评估陇西地区内黄土斜坡的地震稳定性。该文提出的方法对黄土地区城市建设规划和地震应急救援有重要的应用价值。     

南海北部陆坡稳定性定量分析

随着海洋工程的发展,海底滑坡作为一种潜在的地质灾害逐渐成为人们关注的热点.本文采用二维极限平衡法计算并分析了海底斜坡稳定性问题.通过对斜坡模型在各种条件下安全系数的计算,定量分析了斜坡内在因素(如斜坡角度、主要土力学参数)和主要触发机制(地震、快速堆积等)对安全系数的影响.理论计算表明,静态条件下,均质斜坡角度小于20°时,均处于稳定状态;对于含软弱层的斜坡,快速堆积等引起的不排水状态下斜坡安全系数明显降低,斜坡角度大于14°时就会发生失稳.拟静态条件下,当地震动峰值加速度(PGA)小于0.15g时,对于角度小于20°的均质斜坡处于稳定状态,但PGA大于0.25g时,角度大于13°的斜坡即处于失稳状态;对于含软弱层斜坡,PGA为0.1g时,角度大于10°的斜坡即处于不稳定状态;当PGA大于0.3g时,3°以上的海底斜坡即处于失稳状态,发生海底滑坡.结合南海北部陆坡海底地形、地貌特征,在静态条件下,均处于稳定状态;但在地震加载的拟静态下,根据南海北部地震动峰值加速度分布,台湾浅滩段则处于不稳定状态.这解释了该区域大陆坡折带处海底滑坡广泛发育的原因,也表明了地震是引发南海北部滑坡最主要的触发机制之一.     

岷县漳县6.6级地震典型滑坡特征及其诱发机制

地震和降雨是滑坡产生的两大诱因。一般认为二者的耦合作用概率小,在现实中也较少发现有此种实例。岷县漳县6.6级地震中黄土地震滑坡广泛发生,本文通过现场调查,在相关降雨量数据、航空影像空间分析的基础上研究了两个地点(永光村滑坡和堡子村滑坡)的典型地震黄土滑坡的空间展布特征和发生、发展过程,分析了诱发机制。结果发现:(1)地震滑坡呈带状分布与地震发震构造走向一致;(2)位于极震区范围的永光村黄土滑坡具有泥流特征,土体含水量可达塑限以上,是由于过量降水和强地震动耦合作用下发生;(3)堡子村黄土地震滑坡则主要为强地震动所诱发,滑距较短,并具滞后发生特性。本结果对未来地震中滑坡的预防与防治具有借鉴意义。     

黄土高原地震作用下黄土滑坡滑距预测方法

为评估黄土高原地区地震滑坡致灾区域,提出一种基于模糊信息优化处理的地震滑坡滑距预测方法。在野外调查、室内试验和分析的基础上,对黄土高原的地震滑坡类型、性质和影响因素进行分析。以摩根斯坦-普莱斯法计算黄土边坡的稳定性,建立边坡最小安全系数与影响因素的关系,其影响因素主要包括地震烈度、比高、坡角、容重、内黏聚力、内摩擦角等,并在此基础上得到纯黄土地震滑坡滑距的影响关系。将黄土高原地区数次大震中采集到的93个样本数据进行归纳分析,建立模糊信息优化处理模型。所得的计算结果通过误差校验和与其他滑坡滑距预测方法进行对比,来证明本模型有较高的准确性。最后对天水市22个潜在滑坡的边坡进行滑距预测。     

潜在地震滑坡危险区区划方法

不同地区地震活动的强度和频率是不同的.基于地震危险性分析的地震滑坡危险研究在综合了地震烈度、位置、复发时间等因素的基础上,考虑了地震动峰值加速度时空分布的特点,可以有效地应用于潜在地震滑坡危险区区划.以汶川地震灾区为研究对象,根据研究区的地质构造、地震活动特点等划分出灾区的潜在震源区,对该区进行地震危险性分析,并在此基础上采用综合指标法做出基于地震危险性分析的地震滑坡危险性区划.所得地震滑坡危险性区划按照滑坡危险程度分为高危险、较高危险、较低危险和低危险四级,表示未来一段时间内研究区在遭受一定超越概率水平的地震动作用下,不同地区地震滑坡发生的可能程度. 本文给出的地震滑坡危险性区划结果中,汶川地震滑坡崩塌较发育的汶川、北川、茂县等部分区域均处于高危险或较高危险区域;在对具有较高DEM精度的北川擂鼓镇地区所作的地震滑坡危险性区划中,汶川地震中实际发生的地震滑坡灾害与地震滑坡危险区划结果表现出较好的一致性.对区域范围而言,基于地震危险性分析的地震滑坡区划,可为初期阶段的土地规划使用及重大工程选址提供参考.     

海原地区黄土的微观结构及地脉动特征分析

1920年8.5级地震诱发了大量的黄土滑坡,对研究黄土地区的滑坡灾害、土层地脉动特征分析具有重要意义。基于高精度电子扫描显微镜（SEM）分析发现海原地震现场表层黄土为架空孔隙弱胶结微观结构,且该黄土是以粉粒为主的低黏性粉土,有震陷和地震滑坡的高风险。基于地脉动测试得到滑坡场地15个地脉动数据,采用傅里叶变换法对苏堡村滑坡土层的脉动特征进行分析,获得地脉动频谱特征曲线。研究表明场地卓越周期建议值为0.126 s,将其划分为坚硬场地,可为该滑坡场地类别划分作为参考,同时发现滑坡体与未滑体的地脉动特征有较大差异,可为海原地震滑坡的脉动特性分析提供依据。     

中国西北黄土地区地震滑坡基本特征

针对西北黄土地区地震滑坡灾害严重的现象，对1654年天水南8．0级、1718年通渭7．5级、1920年海原8.5级和1927年古浪8．0级地震诱发的147个典型黄土地震滑坡进行了研究，分析了黄土地震滑坡的主要类型和基本特征，为黄土地区地震滑坡灾害的预防提供了科学依据。     

Dynamic mechanisms of earthquake-triggered landslides

Earthquake-triggered landslides usually cause great disasters,and yet their dynamic mechanisms remain poorly understood.This paper will derive a general conceptual landslide model from the geometric and kinematic features of the most landslide masses triggered by the 2008 Wenchuan earthquake.Kinematic characteristics and dynamic processes are simulated here by means of finite element method(FEM)based on the dynamic process of the discontinuous deformable body.The calculated results presented the whole course of landslide motion,and displayed some typical kinematic characteristics such as initiation,sliding,ejection,collision,flying in the air,and climbing of landslides.The simulation result also shows that,under combined seismic inertial forces and gravity,landslides will start to slip once it overcomes the friction between the sliding mass and slip-bed,then it will move from slow to fast along the slippery bed until it ejects from the slip-bed.Moreover,the high frequencies and serious damages by landslides in the Wenchuan earthquake are caused by the strong ground motion on the mountain slopes in and around the epicenter that was dramatically amplified owing to both resonances produced by the seismic event and topographical amplification by seismic motion.In addition,the modeling results suggest that the direction,amplitude,frequency,and duration of strong ground motion have a great influence on the stability of landslide mass.Therefore,the study helps us better understand dynamic mechanism of landslides,seismic hazard assessment,and dynamic earthquake triggering.     

Spatial Distribution of Seismic Landslides in the Areas of 1927 Gulang M8.0 Earthquake

The 1927 Gulang M8.0 earthquake has triggered a huge number of landslides, resulting in massive loss of people''s life and property. However, integrated investigations and results regarding the landslides triggered by this earthquake are rare; such situation hinders the deep understanding of these landslides such as scale, extent, and distribution. With the support of Google Earth software, this study intends to finish the seismic landslides interpretation work in the areas of Gulang earthquake (VIII-XI degree) using the artificial visual interpretation method, and further analyze the spatial distribution and impact factors of these landslides. The results show that the earthquake has triggered at least 936 landslides in the VIII-XI degree zone, with a total landslide area of 58.6 km². The dense area of seismic landslides is located in the middle and southern parts of the X intensity circle. Statistical analysis shows that seismic landslides is mainly controlled by factors such as elevation, slope gradient, slope direction, strata, seismic intensity, faults and rivers. The elevation of 2 000-2 800 m is the high-incidence interval of the landslide. The landslide density is larger with a higher slope gradient. East and west directions are the dominant sliding directions. The areas with Cretaceous and Quaternary strata are the main areas of the Gulang seismic landslides. The X intensity zone triggered the most landslides. In addition, landslides often occur in regions near rivers and faults. This paper provides a scientific reference for exploring the development regularities of landslides triggered by the 1927 Gulang earthquake and effectively mitigating the landslide disasters of the earthquake.     

DISTRIBUTION CHARACTERISTICS OF THE AD 1556 HUAXIAN EARTHQUAKE TRIGGERED DISASTERS AND ITS IMPLICATIONS

A complete understanding to the disasters triggered by giant earthquakes is not only crucial to effectively evaluating the reliability of existing earthquake magnitude, but also supporting the seismic hazard assessment. The great historical earthquake with estimated magnitude of M8.5 in Huaxian County on the 23^rd January 1556, which caused a death toll of more than 830 000, is the most serious earthquake on the global record. But for a long time, the knowledge about the hazards of this earthquake has been limited to areas along the causative Huashan piedmont fault(HSPF) and within the Weihe Basin. In this paper, we made a study on earthquake triggered landslides of the 1556 event along but not limited to the HSPF. Using the high-resolution satellite imagery of Google Earth for earthquake-triggered landslide interpretation, we obtained two dense loess landslides areas generated by the 1556 earthquake, which are located at the east end and west end of the HSPF. The number of the interpreted landslides is 1 515 in the west area(WA), which is near to the macro-epicentre, and 2 049 in the east area(EA), respectively. Based on the empirical relationship between the landslide volume and area, we get the estimated landslide volume of 2.85~6.40km³ of WA and EA, which is equivalent or bigger than the value of ~2.8km³ caused by Wenchuan earthquake of M_W7.9 on 12^th May 2008. These earthquake triggered landslides are the main cause for the death of inhabitants living in houses or loess house caves located outside of the basin, such as Weinan, Lintong, Lantian(affected by WA) and Lingbao(affected by EA). Our results can help deeply understand the distribution characteristics of coseismic disaster of the 1556 Huaxian earthquake to the south of Weihe Basin, and also provide important reference for the modification of the isoseismals.