降雨作用下山区边坡稳定性分析

降雨是诱发边坡失稳破坏的主要原因,本文以坡地水文模型为基础,结合无限边坡稳定计算模型,研究降雨条件下边坡启动的临界降雨条件。通过工程算例表明:降雨量与边坡体稳定系数成反比;滑坡启动的临界降雨量随边坡坡度的增大而减少;随边坡土体内摩擦角的增加而逐渐增加,此分析对降雨型滑坡的研究有借鉴性的意义。     

温度对泡沫性能影响的实验研究

泡沫作为一种特殊的钻井流体,其在环空中的泡沫质量、密度、稳定性以及流动状态等都将受到井内温度变化的影响。针对这一问题,通过实验,研究了温度对发泡液起泡能力及泡沫稳定性的影响。实验发现：基液的发泡能力受基液配方和发泡温度影响很大,在一定范围内温度升高可以提高泡沫的稳定性,但温度过高又会对泡沫的稳定性起反作用。     

重庆市主体功能区识别的主导因素与空间稳定性约束机理

主体功能区规划已上升为国家制度和战略,对中国长期空间发展格局优化与再组织将发挥积极的引导和约束作用。从地域性角度出发,探寻主体功能区发生性(形成与演化)和反馈性(识别与规划)时空机理与规律是地理学具有时代意义的重要科学问题。以重庆市为例,通过国土空间开发条件综合评价,识别了主体功能区划分的适宜性空间格局。基于对西南山区发展约束条件的基本认识,提出了地域主体功能空间分异的主导性约束假设,设定地形和区位为原生性主导因素,验证了其与区划指标系统的定量关联性,以此为基础解析了主导因素约束机理并提出了地域主体功能区的空间稳定性机制。研究发现:①开发与保护适宜性识别结果的格局指向清晰。城市化适宜的区域主要集中于都市区和部分周边区县,区域副中心(万州和黔江)适宜性也相对较高。生态保护适宜的区域集中于渝东北秦巴山区及部分三峡库区区县,同时包括渝东南武陵山区所在区县。②地形和区位因子在本区域对主体功能区的识别与形成具有主导约束作用。回归分析显示,主体功能区划指标与地形因子相关性水平达到显著的超过70%,区位因子超过40%;两者综合后与区划标志变量(A、B指数)的相线性相关拟合度R2均超过0.8;地理探测器发现,地形和区位因子对区划指标的约束性分别有9个和7个达到0.05显著性水平,对A、B指数的解释度分别约为70%和60%,两者叠加后,约束水平全部达到显著,对A、B指数的解释度在90%左右。③空间稳定性机制表现为两个方面,其一是基于主导因素约束的稳定性传递机制,称为客观稳定性;其二是基于指标体系的局域相对性和算法的内部抵消机制,称为主观稳定性。两种机制的协同性验证了区划技术系统的地域适应性和科学性。     

乌鲁木齐大气混合层厚度和稳定度与大气污染的关系

利用乌鲁木齐市4座10层100 m梯度气象塔2013年6月~2014年4月气象观测资料和7个环境监测站[WTBX]AQI[WTBZ]资料,计算并分析了大气混合层厚度和稳定度特征,探讨了大气混合层厚度和稳定度与污染的关系。结果表明：乌鲁木齐市混合层厚度夏季郊区高、城区低,冬季从南郊—城区—北郊随地势降低依次降低;夏季和冬季分别在1 559～1 772 m和526～1 156 m之间。地面至2 km以上每500 m高度间隔统计混合层厚度,500～1 000 m出现频率最多;月变化为6～9月基本在500 m以上,且每个高度区间其概率均超过10%,10月～次年2月1 500 m以上区间概率明显减小;日变化为中午13:00～16:00达到最高值,下午和傍晚迅速下降。白天较大的感热输送提供充足的热力条件,这也体现出白天以不稳定层结为主,夜间则以稳定层结为主。大气稳定度分类结果,夏季郊区和城区不稳定（A～C类）所占比例差不多,冬季北郊稳定（E、F类）所占比较最大、城区最弱。[WTBX]AQI指数冬季最大,从南郊—城区—北郊依次增大,这与采暖期污染物多、南郊比北郊地势高有利于扩散输送有关。总体来看,乌鲁木齐大气混合层厚度空间分布与气象要素、大气稳定度、地形等密切相关,对AQI[WTBZ]指数分布有重要影响,这对近地层大气污染状况预报有着重要的指导意义。     

深海潜器耐压圆柱壳结构计算和校核方法研究

文中比较了中美两国潜器规范中各特征量的计算方法和校核准则,分析了异同点,并给出数值算例。针对潜器特性,对目前我国潜器规范中可能需要修改的地方进行了初步分析。     

A hybrid ensemble method for improved prediction of slope stability

Accurate prediction of slope stability is a significant issue in geomechanics with many artificial intelligence (AI) techniques being utilised. However, the application of AI has not reached its full potential because of the lack of more robust algorithms. In this paper, we proposed a hybrid ensemble method for the improved prediction of slope stability using classifier ensembles and genetic algorithm. Gaussian process classification, quadratic discriminant analysis, support vector machine, artificial neural networks, adaptive boosted decision trees, and k‐nearest neighbours were chosen to be individual AI techniques, and the weighted majority voting was used as the combination method. Validation method was chosen to be the 10‐fold cross‐validation, and performance measures were selected to be the accuracy, the receiver operating characteristic curve, and the area under the receiver operating characteristic curve (AUC). Grid search and genetic algorithm were used for the hyperparameter tuning and weight tuning respectively. The results show that the proposed hybrid ensemble method has great potential in improving the prediction of slope stability. Compared with individual classifiers, the optimum ensemble classifier achieved the highest AUC value (0.943) and the highest accuracy (0.902) on the testing set, denoting that the predictive performance has been improved. The optimum ensemble classifier with the Youden's cut‐off was recommended for slope stability prediction with respect to the AUC value, the accuracy, the true positive rate, and the true negative rate. This research indicates that the use of the classifier ensembles, rather than the search for the ideal individual classifiers, might help for the slope stability prediction.     

3D stability of unsaturated soil slopes with tension cracks under steady infiltrations

Most classical approaches for evaluating the stability of soil slopes with cracks are performed under two-dimensional (2D) condition. Three-dimensional (3D) effect and suction-induced effect of unsaturated soils are generally neglected in assessing the slope stability. This paper develops a 3D limit analysis method to evaluate the stability of an unsaturated soil slope with tension cracks under steady infiltrations. The boundary-value problem is formulated based on the 3D rotational failure mechanism by taking the effects of suction, effective unit weight, and tension crack into account. A simplified method is proposed to calculate the work rate of unsaturated soil weight. A layer-wise summation method is developed based on the divergence theorem to calculate the internal energy dissipation rate. Detailed discussions are conducted to investigate the effects of suction and Poisson's ratio on the stability of unsaturated soil slopes. Examples are given to illustrate the 3D effect, the suction-induced effect as well as the effects of infiltration and water in cracks on the slope stability.     

Lateral strength and critical depth in infinite slope stability analysis

Infinite slope (IS) method is the simplest limit equilibrium method for slope stability analysis. It gives reliable results for slides where the longitudinal dimension prevails on the depth of the landslide. Usually results are conservative since ignoring the effects of the strength along lateral bounds. Here, starting from the assumption of considering the effects of the shear strength along lateral bounds by a rectangular cross section, a new expression of the safety factor is investigated, based first on an elliptical and then on a parabolic cross section of the landslide mass. The safety factor evaluated in this way can be quite different from those returned by the classic formula of IS model, in particular when the width of the landslide is narrow with respect to its depth and the ratio between the width and the depth of the landslide is lower than 5. An interesting implication of the proposed model is that if cohesion differs from zero, there is a ‘critical depth’, where the safety factor has a minimum value. Copyright © 2013 John Wiley & Sons, Ltd.     

Mathematical identification of diffuse and localized instabilities in fluid‐saturated sands

The mathematical properties of diffuse and localized failure modes in fluid‐saturated sands are investigated. The granular medium is modeled as an elastoplastic solid, and a recently proposed set of scalar indices, here referred to as moduli of instability, is used to identify the onset of potential bifurcations of the incremental response. First, the analytical properties of these moduli are discussed, stressing their dependence on the kinematic constraints associated with the imposed deformation modes. Then, by using an elastoplastic model for sands, drained and undrained loading paths are simulated under axisymmetric, plane‐strain and simple shear conditions. For each deformation mode, the instability moduli are computed and monitored throughout the simulations, with the purpose of elucidating the consequences of changes in control conditions. In addition, it is illustrated that suitable linear transformations allow the same strategy to be used to perform drained or undrained shear band analyses and predict the interval of possible band inclinations. The final comparison against literature experiments on loose Hostun sand shows that the instability moduli are indicators of the loss of resistance against specific modes of deformation. As a result, they can be used to identify and explain a number of failure mechanisms that can be commonly observed in experiments. Copyright © 2013 John Wiley & Sons, Ltd.     

Stability analysis on Jinjia dam hydropower project in Chongqing City

The stability analysis is one of the chief problems at hydropower stations. The Jinjia Hydropower Station is a significant project in Southwest China. The paper adopts the rigidity limited equilibrium theory and evaluated stability of the slope body, which will provide the evidences for further detail design.