降雨和库水位联合作用下库岸滑坡模型试验研究

受库区水位波动和降雨影响,库岸大量老滑坡体变形加剧,地质灾害问题十分突出。为研究库岸滑坡影响因素、变形演化规律及失稳条件,以大型物理模型试验为手段,选取三峡库区黄土坡滑坡临江Ⅰ号崩滑体为对象,通过考虑水位波动、降雨及其组合作用等诱发因素,开展了一系列的库岸滑坡模型试验研究。试验结果表明：水位升降,变形主要集中于模型坡体前缘,其中,水位抬升过程中,滑坡模型变形较小,变形加速阶段出现于水位下降期间,且变形速率与水位下降速率成正比,即临江Ⅰ号崩滑体为典型的动水压力型滑坡;降雨影响下坡体变形在时间和空间上存在明显分区现象,时间上,变形发展主要集中于坡体浅表层饱和之后,即短时降雨对坡体变形未产生显著影响,空间上,坡体前缘和后缘变形剧烈;库水位下降和强降雨联合作用下坡体前缘产生局部流滑破坏,并溯源发展至前缘整体破坏,为典型的牵引式破坏模式。试验揭示处于临滑阶段坡体,其孔隙水压力、土压力变化呈现异常频繁的波动现象,可为滑坡预警预报提供一定参考依据。     

New data and interpretations of the shallow and deep deformation of Huangtupo No. 1 riverside sliding mass during seasonal rainfall and water level fluctuation

The original Badong County, Hubei, China, was mainly below the highest water level of the Three Gorges Reservoir, which is 175 m above sea level. The new downtown of Badong was rebuilt in the Huangtupo area between 1982 and 1991. After detailed geological investigation in the Huangtupo area, four independent landslides were identified, making it one of the largest and most harmful landslide group in the Three Gorges Reservoir area. Since 2003, abundant data have been obtained from the Huangtupo No. 1 sliding mass about rainfall, water level, earth surface deformation and deep deformation. The monitoring data indicate that the earth surface and deep deformation of this landslide is closely related to the seasonal rainfall and water level fluctuation of the reservoir. During increases in the water level, the earth surface deformation velocity decreases, and then increases obviously in the subsequent water level decreasing stage. Because the water level drawdown period overlaps with the rainy season in this area, the earth surface deformation is affected by both rainfall and water level. The deformation velocity of the earth surface caused by rainfall is about 5 mm/month, while that caused by water level decrease is 5–7 mm/month. On the contrary, the deformation velocity of the deep sliding mass accelerates 2 to 3 times faster than average during water level increase. The distinction of surface and deep deformation regulations indicates that the effects of seasonal rainfall and water level fluctuation on the stability of reservoir wading landslides are different. Based on all monitoring data, we also found that the Huangtupo No. 1 riverside sliding mass is creeping seasonally during the seasonal rainfall and periodic reservoir water level fluctuation. The deformation velocities of the east regions of the sliding body indicate acceleration, making these regions even more dangerous.     

基于离心机模型试验的甘肃江顶崖古滑坡复活机理研究

位于白龙江断裂带的甘肃舟曲江顶崖古滑坡规模巨大,受断裂活动、降雨入渗与河流侵蚀和人类工程活动等因素影响,多次发生复活-堵塞白龙江灾害事件,造成极大危害。为研究江顶崖古滑坡的复活机理,本文在野外地质调查的基础上,重点开展了滑体在含水率为10%、15%和20%条件下的离心机模型试验。研究表明:在滑体含水率为10%情况下,试验结束后仅在坡体中后部产生少量裂缝,但滑坡体整体还处于稳定状态; 而在滑体含水率为15%和20%情况下,滑坡均发生了破坏,在滑体含水率分别为15%、20%情况下坡体失稳所需离心加速度分别为100g和50g。试验测试分析表明,江顶崖古滑坡为推移式滑坡,其变形先从坡体中后部开始,坡体中后部产生裂缝,随后裂缝逐渐向前缘扩展,最终裂缝贯通造成滑坡滑动破坏。滑坡体的变形过程主要分为3个阶段: ①变形启动阶段(裂缝开始形成阶段); ②变形加速阶段(裂缝加速发展阶段); ③失稳阶段。通过离心模拟试验,结合野外调查分析,认为江顶崖古滑坡复活的因素主要受降雨和孔隙水压力的影响,是受前缘河流侵蚀牵引、降雨入渗造成滑坡中后部推移的耦合滑动。     

牵引式滑坡的破坏机制及其加固措施探讨 ——以某高速公路牵引式滑坡为例

牵引式滑坡在山区公路滑坡中占有相当的比重,其治理工程往往耗资巨大、环境破坏严重。针对某高速公路牵引式滑坡,通过地质调查、变形迹象分析、岩土体应力-应变分析及数值模拟等方法,指出具体破坏机制为：（1）坡脚开挖致使阻滑关键块体缺失,应力集中导致剪切应变软化;（2）地表降水与地下水对岩土体物理力学性能的改造;（3）滑体变形不协调,导致拉裂缝产生,滑坡后缘得以继续向后扩展。目前监测表明,已施工的组合加固措施效果良好。最后讨论挖方引起的牵引式滑坡的工程地质特征,对牵引式滑坡进行评价应坚持安全系数分区原则,滑坡总体加固应按安全系数控制,同时对后缘加固按位移控制。     

考虑地下水作用的滑坡时间预测研究

结合三峡库区堆积层滑坡的具体情况讨论了地下水对滑坡的物理化学和力学作用,论证了地下水物理化学作用对三峡库区松散堆积层滑坡稳定性的影响远小于地下水动力作用对滑坡稳定性的影响.在此基础上,引入总压力水头,提出将地下水对滑坡的各种力学作用简化为总压力水头,结合加卸载响应比方法的思路,分别建立了基于库水位涨落和降雨影响的滑坡预...     

水位升降条件下牵引式滑坡离心模型试验

自三峡水库蓄水后,库区地质灾害频发,研究库水位升降条件下的库岸边坡稳定性与破坏模式日益重要。以三峡库区云阳县凉水井滑坡为原型,基于长江科学院CKY?200土工离心机,结合滑坡区工程地质概况,模拟制作了这一典型库岸滑坡的简化模型。采用高速相机、激光位移传感器、孔隙水压力传感器、土压力传感器等监测手段,在模型试验中实现了对边坡前缘水位高程及升降的控制,获取了试验过程中坡体水平位移和沉降、孔隙水压力、土压力值的变化规律,得到以下结论：试验从开始至加水阶段结束,模型位移以竖直方向为主,而在排水阶段则水平方向位移远大于竖直方向;试验过程中,在库水位上升与骤降作用下,首先在前缘产生裂隙,并逐渐向中部、后缘扩展,随后在中部产生较大变形,出现局部滑移,模型总体破坏形式呈牵引式破坏模式;试验结束时,模型自后缘起体积含水率逐渐增大;在水位上升期间,模型变形相对较小,主要滑移出现在水位下降期间,因此,该滑坡为动水压力型,产生变形破坏主要是由于动水压力效应所致。试验揭示了库岸牵引式滑坡在库水位升降条件下的破坏模式和变形失稳机制,为库区滑坡的防治提供了重要依据。     

三峡库岸滑坡变形特征及影响因素分析

三峡库区涉水滑坡主要影响因素是水位和降雨量,也是库区滑坡体失稳的主要影响因素和诱发因素。库区每年重复着水位升降不利于滑坡的稳定,而降雨特别是大强度的降雨也诱发产生滑坡。当水位波动遇到降雨,出现工况叠加,滑坡将加剧。因此,有必要对影响滑坡变形的主导因素进行了解分析。2016年6月三峡库区全面展开了自动化监测,使得数据统计方便可靠。本文采用滑坡变形速率、降雨量、库水位变化、最大水位变化速率、淹没程度,运用灰色关联度分析法对涉水滑坡进行了计算分析。水位下降阶段,文中土质滑坡变形受库水位影响最大。水位上升阶段,该土质滑坡上部变形受降雨影响最大,下部受水位影响最大。文中岩质滑坡总是受库水位影响最大。     

水位涨落作用下藕塘滑坡响应特征模型试验研究

藕塘滑坡是三峡库区结构复杂的巨型古滑坡之一,由多个次级滑体和滑面组成,大坝蓄水运行以来,滑坡出现复活迹象,对周边数千人的生命财产安全构成威胁。为明确藕塘滑坡在库水位涨落作用下的响应特征、变形破坏模式和机制,以物理模型试验为手段,通过制配滑坡模型试验材料,精确控制试验中库水位涨落条件,实现了藕塘滑坡变形失稳过程试验模拟,并从试验角度探讨了藕塘滑坡响应特征和力学机制。得到以下结论:库水涨落速度越快组成滑坡的3个次级滑坡产生的变形越大,库水位下降造成的滑坡变形明显大于库水位上涨和稳定状态;库水位涨落影响主要集中于第一期次滑坡区域,当库水位快速下降时第一期次滑坡坡脚局部发生牵引式崩滑的风险大;第一期次滑坡变形造成其后的第二期和第三期次滑坡稳定性下降,随之发生变形;藕塘滑坡为动水压力型滑坡,滑坡在库水位涨落作用下发生整体沿基岩面滑移破坏的可能性不大,变形失稳模式表现为第一期次滑坡前缘的局部崩滑。试验揭示了该类滑坡在库水位涨落作用下的响应特征和变形破坏机制,可为类似滑坡的研究提供参考。     

关键影响因子作用下三峡库区堆积层滑坡分布规律及变形破坏响应特征

三峡库区崩滑地质灾害频发,堆积层滑坡是最常见的滑坡类型.在分析三峡库区145处库岸堆积层滑坡资料基础上,选取地形地貌、地质岩性和斜坡构造作为控制因素、降水和库水波动作为主要诱发因素,探究堆积层滑坡在上述关键影响因子下的分布发育规律及变形破坏响应特征,阐明内在机理,结果表明:(1)受区域地质构造和基岩地层岩性显著控制,滑...     

基于位移比模型的三峡库区云阳县域内蠕变型滑坡降雨预警

建立高效合理的区域滑坡灾害降雨预警模型对滑坡防治具有重要意义.然而以往的研究多侧重于临滑预警,对蠕变型滑坡在强降雨工况下的短暂加速变形的预警研究还有待深入.以三峡库区云阳县域内滑坡为例,首先根据滑坡地表位移监测数据的特点对统计样本进行合理筛选.再通过降雨因子与滑坡发生的相关性分析以及对滑坡在降雨条件下位移变化情况的数值模拟,确定了适用于不同时间阶段的降雨统计变量.然后将考虑了滑坡规模特征的滑坡位移比（累计位移与滑坡纵长之比）作为变形指标,分时段统计滑坡地表位移监测数据与历史降雨信息,建立了日降雨数据与月位移数据的对应关系,得到了可用于确定降雨量阈值的位移比模型,并获得了云阳县蠕变型滑坡的五级预警分区.最后分别选用研究区滑坡险情实例、长年位移监测数据及极端降雨事件对模型预警效果进行检验.结果显示基于专业监测数据的位移比模型的滑坡降雨预警结果与实际情况相符,可为蠕变型滑坡的预警预报提供依据.      

Deformation and mechanism of landslide influenced by the effects of reservoir water and rainfall, Three Gorges, China

Since the impoundment of the Three Gorges Reservoir in June 2003, numerous preexisting landslides have been reactivated. This paper seeks to find the factors influencing landslide deformation and the relationship between displacement and fluctuation of the reservoir water level, while the displacement and the intensity of rainfall based on monitoring data; 6 years of monitoring were carried out on the Shiliushubao landslide, a old landslide, consisting of a deep-seated main block and two shallow blocks, with a volume of 1,180 × 10⁴ m³ and located on the left bank of the Yangtze River, 66 km upstream of the Three Gorges dam. This landslide was reactivated by the impoundment and since then the landslide body has been experiencing persistent deformation with an observed maximum cumulative displacement of 8,598.5 mm up to December 2009. Based on the monitoring data, we analyzed the relationship between the fluctuation of the reservoir water level and displacement, rainfall and displacement, and found that the rainfall is the major factor influencing deformation for two shallow blocks and the displacement has a positive correlation with the variation of rainfall intensity. The fluctuation of the reservoir water level is the primary factor for main block, and the deformation rate has a negative correlation with the variation of reservoir water level, declined with the rise of the water level and increased with the drawdown of the water level.     

Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors

In the evolution of landslides, besides the geological conditions, displacement depends on the variation of the controlling factors. Due to the periodic fluctuation of the reservoir water level and the precipitation, the shape of cumulative displacement-time curves of the colluvial landslides in the Three Gorges Reservoir follows a step function. The Baijiabao landslide in the Three Gorges region was selected as a case study. By analysing the response relationship between the landslide deformation, the rainfall, the reservoir water level and the groundwater level, an extreme learning machine was proposed in order to establish the landslide displacement prediction model in relation to controlling factors. The result demonstrated that the curves of the predicted and measured values were very similar, with a correlation coefficient of 0.984. They showed a distinctive step-like deformation characteristic, which underlined the role of the influencing factors in the displacement of the landslide. In relation to controlling factors, the proposed extreme learning machine (ELM) model showed a great ability to predict the Baijiabao landslide and is thus an effective displacement prediction method for colluvial landslides with step-like deformation in the Three Gorges Reservoir region.     

水库型滑坡模型试验相似材料的研制及应用

相似材料的研制是滑坡模型试验的关键。在相似材料的研究基础上,通过大量的配比试验,结合模糊综合评价法对不同配比材料的相似性进行比较,研制出同时模拟物理力学性能相似和渗流作用相似的水库型滑坡相似材料,这种材料由标准砂、滑体土、膨润土和水溶液混合而成。同时通过库水作用下滑坡模型试验评价该材料的相似效果,记录水位升降过程中坡内的孔隙水压力变化、渗流变化、滑面形态及裂缝形成发展过程。试验结果表明,库水对岩土体物理力学性质的弱化和坡内指向临空面的渗透压力是滑坡产生的主要诱发因素;水库型滑坡的破坏模式为有多级滑面的牵引式破坏;试验观测的浸润线与理论计算结果基本吻合。该相似材料的物理力学性能和渗流效果均能达到试验相似要求,模拟库水作用下滑坡变形破坏过程的效果良好,是一种比较理想的水库型滑坡模型相似材料。研究结果为进一步开展大型水库型滑坡模型试验提供了科学依据。     

降雨诱发深层老滑坡复活变形的动态作用机制

强降雨易引发大型深层老滑坡的复活变形,研究其作用机制对建立滑坡变形破坏的降雨阈值,实现滑坡灾害的预警预报具有重要意义.以三峡库区秭归县谭家湾大型深层老滑坡为例,在地表宏观裂缝时空分布规律的精细描述基础上,结合15年的人工监测和2年的实时监测数据,分析了老滑坡的复活变形特征和发展过程.通过滑坡阶跃阶段的位移与降雨（当前降雨和前期降雨）的相关性分析,提出了降雨对深层滑坡复活变形演化过程的动态作用机制.谭家湾滑坡的7次“阶跃”变形与强降雨相关,但累积位移增量与累积降雨量无明显正相关关系,水平位移增量基本相同时,累积降雨量明显不同.引起第一次阶跃变形的累积降雨量和最大日降雨量均明显大于后续阶段,可能受控于强降雨的作用机制由“孔隙渗流”为主,逐渐转变为“渗透性增加的孔隙渗流+裂隙优势流”的综合渗流模式.这对进一步深入研究强降雨诱发深层老滑坡阶跃变形的内在机理与灾害预警具有一定的理论意义和参考价值.     

基于离心模型试验的库岸滑坡变形特征研究

三峡库区蓄水后，大量库岸滑坡发生复活变形，为研究滑坡随库水位升降的变形特征和机制，以库区典型直线形滑面形态滑坡为地质原型，概化设计了大尺度离心模型试验，通过模拟两个水位升降过程，布设高速相机和传感器，获取了滑坡变形演化全过程高清影像、孔压和土压?时间变化曲线，可得以下研究结果：在水位首次下降时，孔压和土压逐渐减小，当下降15 min后滑坡发生整体蠕滑变形，首先是前部产生横向张拉裂缝，中后部则是以竖直位移为主的蠕滑压密变形过程，水位停止下降2 min后变形停止，表明变形对库水位变化具有一定滞后性；当水位再次下降时，前部沿原破裂面再次下滑并失稳，中后部则无变形，变形演化具有典型牵引式特征。在库水首次入渗滑坡时，坡体孔隙水压力对库水位升降具有明显的滞后性，而在下一次水位升降过程中，这种滞后性明显减弱。该类滑坡受水位下降的动水压力效应影响较大，在滑坡变形过程中，中后部滑体变形在竖直方向的蠕滑压密行为使得中后部稳定性有所提高，因此，在后期蓄水过程中不再发生变形，试验现象与实际库岸滑坡吻合。试验揭示了三峡库区该类滑坡在水位升降条件下的变形破坏模式及长期演化趋势，为库区地灾防治提供了参考依据。     

Numerical subarea of sensitive zone of monitoring variable of landslides to fluctuation of water level of Three Gorges Reservoir — a case of Xietan Landslide

In the period of impounding and running of the Three Gorges Reservoir, the sensitive degrees of change of groundwater table and displacement to the fluctuation of water level are different in different parts of landslides induced by the fluctuation of water level (as the case of Xietan Landslide). According to the relationship between different sensitive degrees of monitoring variables (underground water level and displacement) and quantity of monitoring information, the sensitive zones of groundwater table and displacement to the fluctuation of reservoir water level are divided into different degrees by the approach of fuzzy pattern recognition. The result of numerical subarea of sensitive zone of groundwater table and displacement indicates that the middle and front part of the landslide are the main places with groundwater table affected by the fluctuation of water level of reservoir; the variation of horizontal displacement of surficial part of the middle and front part of the landslide is more sensitive to water impounding and sudden fall of water level; and with the increase of elevation and depth of the landslide, the horizontal displacement changes less and less; the change of vertical displacement of surficial parts of the landslide is most sensitive to the fluctuation of water level of Three Gorges Reservoir; and with the increase of depth, the change of vertical displacement become smaller and smaller. By the means of the numerical subarea regulation of Xietan Landslide, the suggestions to the point layout for monitoring the groundwater table and displacement in the landside of Three Gorges Reservoir are put forward.     

库水变动下堆积层滑坡加卸载响应规律与稳定性预测

三峡库区堆积层滑坡稳定性受库水位变动影响十分明显,库水变动下堆积层滑坡的演化过程与稳定性预测研究对防灾减灾具有重要的指导意义。基于库水变动与滑坡变形的响应关系,建立库水动力加卸载与位移速率响应耦合的加卸载响应比预测模型;建立库水变动与滑坡稳定系数的响应关系,进而确定库水变动下滑坡体的渗流场类型,并以滑坡稳定系数的变化率的正负来判断库水变动的加卸载作用。以黄莲树滑坡为例,预测其稳定性,并对预测结果进行验证。结果表明:黄莲树滑坡水平方向位移变化与库水变动存在响应关系,且响应具有明显的滞后性;库水变动下该滑坡的渗流场属于动水压力型,每个水文年中库水动力对滑坡有6个月为加载过程,1个月为卸载过程;滑坡监测点的加卸载响应比在2011年出现整体上升并大于1,揭示滑坡趋于失稳,对库水变动加卸载作用的响应加强。结论得到了宏观变形破坏迹象的验证,说明改进的加卸载响应比预测模型具有良好的预测效果。     

Displacement prediction in colluvial landslides, Three Gorges Reservoir, China

The prediction of active landslide displacement is a critical component of an early warning system and helps prevent property damage and loss of human lives. For the colluvial landslides in the Three Gorges Reservoir, the monitored displacement, precipitation, and reservoir level indicated that the characteristics of the deformations were closely related to the seasonal fluctuation of rainfall and reservoir level and that the displacement curve versus time showed a stepwise pattern. Besides the geological conditions, landslide displacement also depended on the variation in the influencing factors. Two typical colluvial landslides, the Baishuihe landslide and the Bazimen landslide, were selected for case studies. To analyze the different response components of the total displacement, the accumulated displacement was divided into a trend and a periodic component using a time series model. For the prediction of the periodic displacement, a back-propagation neural network model was adopted with selected factors including (1) the accumulated precipitation during the last 1-month period, (2) the accumulated precipitation over a 2-month period, (3) change of reservoir level during the last 1 month, (4) the average elevation of the reservoir level in the current month, and (5) the accumulated displacement increment during 1 year. The prediction of the displacement showed a periodic response in the displacement as a function of the variation of the influencing factors. The prediction model provided a good representation of the measured slide displacement behavior at the Baishuihe and the Bazimen sites, which can be adopted for displacement prediction and early warning of colluvial landslides in the Three Gorges Reservoir.     

A Simplified Numerical Approach for the Prediction of Rainfall-Induced Retrogressive Landslides

Retrogressive landslides are common geological phenomena in mountainous areas and on onshore and offshore slopes. The impact of retrogressive landslides is different from that of other landslide types due to the phenomenon of retrogression. The hazards caused by retrogressive landslides may be increased because retrogressive landslides usually affect housing, facilities, and infrastructure located far from the original slopes. Additionally, substantial geomorphic evidence shows that the abundant supply of loose sediment in the source area of a debris flow is usually provided by retrogressive landslides that are triggered by the undercutting of water. Moreover, according to historic case studies, some large landslides are the evolution result of retrogressive landslides. Hence the ability to understand and predict the evolution of retrogressive landslides is crucial for the purpose of hazard mitigation. This paper discusses the phenomenon of a retrogressive landslide by using a model experiment and suggests a reasonably simplified numerical approach for the prediction of rainfall-induced retrogressive landslides. The simplified numerical approach, which combines the finite element method for seepage analysis, the shear strength reduction finite element method, and the analysis criterion for the retrogression and accumulation effect, is presented and used to predict the characteristics of a retrogressive landslide. The results show that this numerical approach is capable of reasonably predicting the characteristics of retrogressive landslides under rainfall infiltration, particularly the magnitude of each landslide, the position of the slip surface, and the development processes of the retrogressive landslide. Therefore, this approach is expected to be a practical method for the mitigation of damage caused by rainfall-induced retrogressive landslides.     

长江三峡水库区云阳县典型滑坡变形监测分析

采用2004年云阳县滑坡监测数据和降雨量资料,统计了滑坡与降雨的关系。并以杨柳磅滑坡、裂口山滑坡为例,对其深部位移、地表变形与降雨的关系进行了初步分析。云阳县位于三峡西段,为地质灾害多发区。该县每年5月进入雨季,降雨次数增多,降雨强度加大。2004年暴雨有9次,每次都使滑坡出现了异常。特别是6月和9月暴雨,造成了地表较大的宏观变形。变形出现最多的月份与暴雨出现频次最多的月份相一致。随着降雨强度加大,滑坡数明显增多。研究表明当降雨量大于10mm以上时,就有滑坡出现裂缝、错台及深部位移;当降雨量在50mm以上时,滑坡异常的情况增多,甚至出现土流;平缓的地层在暴雨后易形成极大的孔隙水压力而导致滑坡活动;同时,由于页岩、泥岩遇水后易泥化、软化,产生了顺层滑动;大暴雨后,丰富的地表水渗入地下,突然增大的地下水使结构松散的堆积体含水量增加、岩土强度指标降低,造成了局部变形。由于受地理环境等多方面因素的影响,滑坡体的规模与降雨强度大小没有明显的规律。根据宏观地质调查和钻探资料,裂口山滑坡、杨柳磅滑坡上部地层有超过15m厚的粉质粘土夹块石,下部地层有碎裂砂岩和泥岩。在降雨较大的情况下,水通过裂隙进入,使泥岩、粘土层变软,容易失稳。