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关于重力式挡土墙截面尺寸确定方法的探讨 总被引：8，自引：4，他引：8
在进行重力式挡土墙设计时 ,设计人员由于抓不住该类型挡土墙的设计要点 ,导致需经过多次试算才能得到正确的挡土墙尺寸。笔者通过分析得到以下方法 :通过满足挡土墙的抗滑移要求确定挡土墙总的工程量 ,再进行细部尺寸的调整以满足挡土墙的抗倾覆要求。运用以上方法一般均不需反复计算 ,经过一次计算即能同时满足抗倾覆及抗滑移稳定性要求 相似文献
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滑裂面的准确选取对挡土墙稳定性分析有重要影响。基于塑性极限分析理论,分别推导了直线和对数螺旋线滑移模式下挡土墙主动土压力的计算公式,通过算例对比分析研究了平面滑裂面和对数螺旋滑裂面主动土压力的特点。研究结果表明:直线滑裂面为对数螺旋滑裂面的一种特例,随着滑裂面曲率增大,主动土压力合力作用点逐渐上移,主动土压力合力略有增加,但对墙趾的弯矩显著增加,不利于挡土墙稳定性;挡土墙各参数对直线滑裂面主动土压力合力作用点有不同影响,随着填土内摩擦角、挡墙倾角、填土倾角的增大而上移,随着墙土间摩擦角、黏聚力与容重挡土墙高度的乘积之比的增大而下移,合力作用点位置大致在0.2~0.4倍墙高处,说明主动土压力的非线性分布。研究结果对准确选取滑裂面形状计算挡土墙主动土压力有实际工程应用价值。 相似文献
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挡土墙截面设计直接计算方法 总被引：11，自引：2，他引：11
在满足挡土墙地基承载力验算要求的基础上,推导了抗倾覆安全系数的允许取值范围表达式,同时将相关参数用截面底部宽度进行表示,并给出了换算系数的关系曲线图,进而结合抗滑移稳定性要求直接进行挡土墙截面设计。算例表明,该方法简捷直观且结果可靠,可供设计人员参考。 相似文献
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利用径向基函数(RadialBasisFunction,RBF)神经网络的原理对储层参数(孔隙度、渗透率)进行了预测,运用有效测井数据和岩心测试资料作为网络模型的学习样本,通过网络的学习、训练,建立了测井解释的RBF神经网络模型。应用此模型定量计算了鄂尔多斯盆地杭锦旗地区多口井的碎屑岩层的孔隙度和渗透率。与用传统的统计方法比较,神经网络的方法显示出了更好的精度和更强的实用性。 相似文献
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旋转位移假设下,将挡土墙和填土看成一个系统,建立挡土墙在地震作用下的旋转破坏模式,应用极限分析上限法推导了系统外力功率和耗散功率,得到了水平屈服加速度系数的理论计算公式,并采用MATLAB语言进行数值求解,获得了破裂角和水平屈服加速度系数的数值解。计算公式考虑了填土与墙体接触面上的黏聚力、墙和填土的摩擦角、竖向地震加速度系数、填土黏聚力、填土内摩擦角等对水平屈服加速度系数的影响。研究结果表明：填土与墙体接触面上的黏聚力、墙和填土的摩擦角和竖向地震作用对水平屈服加速度系数的影响显著,在实际工程设计中需合理取值以达到安全经济的目的。 相似文献
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基于库仑土压力理论的基本假定和拟动力法的分析思路,以无黏性填土的刚性挡土墙为研究对象,考虑填土中存在竖向稳定渗流的两种工况,推导了地震主动土压力和修正土压力系数的计算表达式。通过程序求解问题并进行参数讨论,分析结果表明,主动土压力随水平地震加速度的增大而明显增大,竖向地震加速度对土压力影响较小,可以忽略不计。墙土摩擦角较小时,土压力随填土摩擦角的增大而单调减小,但当墙土摩擦角增大后,土压力随填土摩擦角的增大出现先减小后增大的情况。渗流方向向下时,土压力随水力梯度的增大而减小;渗流方向向上时,变化规律则相反。与已有的理论方法对比,计算结果基本吻合,验证了该理论方法的正确性。 相似文献
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地震作用下挡土墙主动土压力及转动位移分析 总被引：2，自引：0，他引：2
分析地震引起的挡土墙位移及墙后土压力,对于评估挡土墙可靠性具有重要意义。基于拟动力法,考虑时效、地震波传播的相位差、超载、墙背摩擦角、填土黏聚力以及填土开裂等影响,建立地震作用下挡土墙主动土压力计算模型,获得挡土墙绕墙趾转动模式下主动土压力大小、分布形式及作用点高度。同时,考虑挡土墙本身受地震荷载作用的影响,求出挡土墙绕墙趾的转动位移。通过与Mononobe-Okabe法对比可知,文中获得的主动土压力值与Mononobe-Okabe法接近,但Mononobe-Okabe法低估了主动土压力作用点高度,表明采用Mononobe-Okabe法设计存在风险。通过算例分析了地震系数、墙背摩擦系数、超载大小、时间、填土黏聚力和内摩擦角对挡土墙转动位移的影响。 相似文献
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神经网络在岩体力学参数和地应力场反演中的应用 总被引：20，自引：7，他引：13
BP神经网络已广泛地应用于岩体力学参数和初始应力场的反演分析,但在实际应用中,BP网络存在着网络训练易于过度、收敛速度慢、易陷入局部极小以及隐层节点数难于确定等缺点。采用RBF网络和改进的BP网络,利用基于有限差分格式的快速拉格朗日算法进行正分析计算,依据若干测点的正应力数据,反演了计算区域的岩体力学参数以及初始应力场。算例表明,RBF神经网络与快速拉格朗日算法相结合,在样本容量相同的情况下,反演分析的精度、网络的拓扑结构以及学习、收敛速度,均优于采用BP网络的反演算法。 相似文献
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Passive earth pressure calculations in geotechnical analysis are usually performed with the aid of the Rankine or Coulomb theories of earth pressure based on uniform soil properties. These traditional earth pressure theories assume that the soil is uniform. The fact that soils are spatially variable leads to two potential problems in design: do sampled soil properties adequately reflect the effective properties of the entire soil mass and does spatial variability in soil properties lead to passive earth pressures that are significantly different from those predicted using traditional theories? This paper combines non-linear finite element analysis with random field simulation to investigate these two questions. The specific case investigated is a two-dimensional frictionless passive wall with a cohesionless drained soil mass. The wall is designed against sliding using Rankine's earth pressure theory. The unit weight is assumed to be constant throughout the soil mass and the design friction angle is obtained by sampling the simulated random soil field. For a single sample, the friction angle is used as an effective soil property in the Rankine model. For two samples, an average of the sampled friction angles is used. Failure is defined as occurring when the Rankine predicted passive resistance acting on the wall, modified by a factor of safety, is greater than that computed by the random finite element method. Using Monte Carlo simulation, the probability of failure of the traditional design approach is assessed as a function of the factor of safety using and the spatial variability of the soil. 相似文献
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根据影响浆砌块石挡土墙边坡稳定性的主要控制变量：挡土墙的垂直度i、挡土墙高度h、填料的内摩擦角 、墙后边坡土的重度 、土对挡土墙基底的摩擦系数 、土对挡土墙墙背的摩擦角 等6个因素变量,利用正交设计原理优化试验设计方案,结合库仑理论与力的多边形法,分析计算浆砌块石挡土墙边坡的安全系数,最后用尖点突变理论的突变级数法进一步判断边坡的稳定性。研究结果表明：影响挡土墙边坡稳定性的6个主要控制变量因素的主次关系为 ;在分析挡土墙边坡稳定性时,采用突变级数法进行计算判断,可以直观地判断边坡的稳定情况,从而弥补工程中运用传统的最小安全系数法进行判断出现的模糊不确定的情况。 相似文献
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针对现有刚性挡土墙与支护结构工程有限土体土压力研究大都基于墙背光滑的假定,本文考虑挡土墙与填土之间及建（构）筑物与填土间的摩擦作用,挡土墙背倾角及填土顶面竖向荷载的影响,引入极限分析上限理论进行研究。根据临近建（构）筑物有限宽度土体的工程特性,基于平动模式采用直线滑动破裂面,在土压力上限求解中引入粗糙挡土墙及粗糙建（构）筑物与土界面间的摩擦能耗计算,分别建立有限宽度土体在主动极限状态和被动极限状态下的土压力计算模型,并利用数值计算方法求解。通过对有限土体主动土压力进行参数分析,表明极限破裂角是一个不确定角,其随着计算深度增大而非线性增大,随有限土体宽度和挡土墙背倾角增大而减小;主动土压力合力随墙土间外摩擦角、挡土墙背倾角及超载增大而增大,墙土间外摩擦角对极限破裂角影响较小,而对土压力合力影响较大。通过工程算例分析并与其它方法计算结果进行对比,表明有限土体主动土压力和被动土压力均小于无限土体土压力。 相似文献
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Abidin Kaya 《Geotechnical and Geological Engineering》2009,27(2):281-288
A backpropagation artificial neural network (ANN) model is developed to predict the secant friction angle of residual and
fully softened soils, using data reported by Stark et al. (J Geotech Geoenviron Eng ASCE 131:575–588, 2005). In the ANN model, index properties such as liquid limit, plastic limit, activity, clay fraction and effective normal stress
are used as input variables while secant residual friction angle is used as output variable. The model is verified using data
that were not used for model training and testing. The results also indicate that the secant residual friction angle of cohesive
soils can be predicted quite accurately using liquid limit, clay fraction and effective normal stress as input variables with
R
2 = 0.93. The sensitivity analysis results indicate that plastic limit and activity have no appreciable effect on ANN predicted
secant friction angles. The secant friction angle predictions of the ANN model were also compared with those of Stark’s et
al. (2005) curves and the empirical formulas suggested for the same data sets by Wright (Evaluation of soil shear strengths for slope
and retaining wall stability with emphasis on high plasticity clays, 2005). The comparison shows that the ANN model predictions are very close to those suggested by the Stark et al. (2005) curves but much better than the prediction of Wright’s (2005) empirical equations. The results also show that ANN is an alternative powerful tool to predict the secant friction angle
of soils. 相似文献
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This paper presents reliability analyses of soil nail walls against two external ultimate limit states, global and sliding stabilities, which are related to the external stability failures of soil nail walls. Reliability analyses are conducted using Monte Carlo simulation technique. Soil nailing is a popular retaining system in highway construction and slope stabilization, and its current design practice is still based on the working stress design. There remains a need to establish a more rational design framework—load and resistance factor design—based on the concept of limit state design and reliability analysis for soil nail walls. The development of load and resistance factor design approach must consider multiple ultimate limit states, associated with external, internal, and facing failures. The analyses of resistance factors against two external failures are conducted in this study considering various influencing factors, including statistical parameters of soil friction angle, ultimate bond strength between soil and nails, soil type, wall geometry (wall height, back slope angle, and face batter angle), and nail configurations (nail inclination angle, drillhole diameter, and nail spacing). In the end, a series of resistance factors are proposed for potential application of load and resistance factor design approach against external failures for soil nail walls according to different design codes. 相似文献