强度折减法在某核电站泵房边坡分析中的应用

对边坡稳定性分别采用按极限平衡法、有限元强度折减法进行二维分析,通过对比计算结果来验证强度折减法分析的准确性与可行性。针对边坡开挖与加固及隧洞开挖的三维效应,采用三维弹塑性有限元强度折减法分析计算边坡的稳定性,计算分析了开挖完成、支护完成条件下边坡安全系数、位移分布、主应力分布、等效塑性应变区和潜在滑动面。结果表明,支护加固可较大提高边坡的稳定安全系数,三维强度折减法分析在岩土工程领域具有明显优势。     

基于SLFT的边坡强度折减法失稳判据

强度折减法在评价边坡稳定性时不需要假设和搜索临界滑裂面,相对于其它方法具有一定优势,但失稳判据尚无明 确标准。滑移线场理论（SLFT） 可以计算得到的极限状态下的边坡坡面曲线（简称极限坡面曲线）,已有研究表明极限坡 面曲线与边坡坡面的相对位置关系可以判断边坡稳定性。基于该结论提出一种边坡强度折减法失稳判据：不同折减系数计 算得到不同的强度参数,因此滑移线场理论计算得到的极限坡面曲线将发生变化,当极限坡面曲线与边坡坡面在坡底相离 时,判断边坡为稳定状态;当极限坡面曲线与边坡坡面相交于坡脚时,判断边坡为极限平衡状态;当极限坡面曲线与边坡 坡面相交时,判断边坡为失稳状态。对标准边坡考题的计算结果表明：提出的失稳判据收敛性较好,安全系数计算结果与 标准答案和已有失稳判据分析结论相差较小;传统失稳判据收敛指标的确定没有明确标准,当位移突变曲线光滑时很难找 到突变点,很难准确计算对应的安全系数,更重要的是传统失稳判据判断边坡极限状态受到人为主观因素的影响,而提出 的失稳判据可以实现失稳判据的客观标准化;确定的临界滑裂面形状以及在边坡中的位置都与标准答案基本一致,提出的 失稳判据适用于强度折减法。     

基于SLFT的边坡强度折减法失稳判据

强度折减法在评价边坡稳定性时不需要假设和搜索临界滑裂面，相对于其它方法具有一定优势，但失稳判据尚无明 确标准。滑移线场理论（SLFT） 可以计算得到的极限状态下的边坡坡面曲线（简称极限坡面曲线），已有研究表明极限坡 面曲线与边坡坡面的相对位置关系可以判断边坡稳定性。基于该结论提出一种边坡强度折减法失稳判据：不同折减系数计 算得到不同的强度参数，因此滑移线场理论计算得到的极限坡面曲线将发生变化，当极限坡面曲线与边坡坡面在坡底相离 时，判断边坡为稳定状态；当极限坡面曲线与边坡坡面相交于坡脚时，判断边坡为极限平衡状态；当极限坡面曲线与边坡 坡面相交时，判断边坡为失稳状态。对标准边坡考题的计算结果表明：提出的失稳判据收敛性较好，安全系数计算结果与 标准答案和已有失稳判据分析结论相差较小；传统失稳判据收敛指标的确定没有明确标准，当位移突变曲线光滑时很难找 到突变点，很难准确计算对应的安全系数，更重要的是传统失稳判据判断边坡极限状态受到人为主观因素的影响，而提出 的失稳判据可以实现失稳判据的客观标准化；确定的临界滑裂面形状以及在边坡中的位置都与标准答案基本一致，提出的 失稳判据适用于强度折减法。     

地震作用前后极限平衡法和强度折减法的边坡稳定分析对比

分别运用极限平衡法和ANSYS强度折减法对国内某边坡地震作用前后稳定性进行了分析,考虑地震作用时采用了拟静力法施加水平和垂直两个方向的地震力.根据地震作用前后两种方法得到的边坡稳定系数、滑动面、滑动体的对比分析发现,两种方法得出的安全系数、滑动面相差不大,说明了强度折减法运用到边坡稳定分析中是合理的.强度折减法得出安全系数均比极限平衡法略大,这是由于强度折减法考虑了土体的应力-应变关系,使得计算结果更符合实际.通过地震作用前后边坡的水平位移图的对比,总结了一些规律,为地震区边坡的锚固提出相应的建议.     

用有限元极限平衡法分析边坡的稳定性

用有限元分析为基础的极限平衡法计算了边坡安全系数,并将结果与摩尔-库仑屈服准则、外接圆D-P屈服准则强度折减法得到的结果、以及Spencer（极限平衡）法的结果进行了比较,结果表明,有限元极限平衡法计算的边坡安全系数与摩尔-库仑屈服准则强度折减法和Spencer法的结果很一致,而D-P准则强度折减法得到的结果偏差较大。叙述了存在已知滑动面和不存在滑动面时有限元极限平衡法的计算方法。用大型通用有限元软件,如ANSYS等,可方便地进行这种方法的边坡安全系数的计算,并有足够的精度。     

基于SLFT边坡双折减系数强度失稳判据

基于滑移线场理论（SLFT）,提出了一种边坡双折减系数强度折减法失稳判据:当由滑移线场理论计算得到的极限状态下的边坡坡面（简称"极限稳定坡面"）与原坡面相交于坡脚时,判断边坡处于极限状态。基于提出的失稳判据构建了双折减系数倒数空间的临界曲线,并推导了整体安全系数计算公式。边坡算例计算结果表明:初始点和临界曲线的3种相对位置关系（点在曲线上方,点属于曲线,点在曲线下方）对应3类边坡整体安全系数（FS>1,FS=1,FS<1）,整体安全系数计算结果与边坡状态相符合,确定的临界滑裂面形状以及在边坡中的位置都与已有结论一致。提出的失稳判据适用于计算配套系数和整体安全系数,实现了失稳判据的客观标准定量化。      

基于上限分析的边坡稳定可靠性评估

从塑性极限分析出发,基于上限分析构建边坡极限状态可靠度计算模型;针对状态函数高度非线性导致常规可靠度方法求解时存在困难的问题,将响应面模型作为极限状态函数与可靠度计算间"桥梁",利用二次正交原理优化取样点,建立考虑参数相关性的二次响应面替代函数。利用JC法直接求得边坡可靠指标的一个上限解,讨论了单个及多个参数变异性对边坡可靠度的影响。     

基于有限差分强度折减法的略阳电厂边坡稳定性分析

将强度折减理论应用于边坡稳定性分析中,借助FLAC/SLOPE有限差分分析程序,选择弹塑性Mohr-Coulomb模型及其破坏准则,以大唐略阳电厂边坡作为工程实例,分析了该边坡的稳定性,并与传统的Bishop法、Janbu法等方法计算所得边坡稳定系数进行了对比分析。结果表明,有限差分强度折减法能更加真实地反映边坡的实际情况,求得的边坡稳定系数更接近边坡的实际稳定状态,显示出其在边坡稳定性分析中的一定优势。     

改进重度增加法在岩质边坡稳定分析中的应用研究

目前强度折减法和重度增加法是边坡稳定分析中的常用方法。采用重度增加法时,当存在边坡摩擦角较大情况时,计算出的安全系数较大,通过对此方法进行改进可得到改进重度增加法。本次研究基于ABAQUS建立了我国某岩质边坡的二维有限元模型,采用改进重度增加法对该边坡的稳定性进行了分析,并与强度折减法和极限平衡法得出的结果进行对比。结果表明:改进重度增加法计算出的结果与强度折减法和极限平衡法计算出的结果接近,验证了该方法的可行性和计算精度。     

二维随机场下边坡稳定性的径向基函数神经网络分析法

岩土参数的随机性会直接影响边坡稳定性评价结果的精度。首先,依据边坡参数的常用分布特征,利用拉丁超立方抽样法生成若干组边坡土性参数和几何参数的随机样本,用有限元强度折减法求解各组样本对应的边坡安全系数。再考虑土性参数的空间变异性,在二维随机场模型下将蒙特卡罗模拟和有限元强度折减法相结合求解各组样本对应的边坡失效概率。然后,利用样本数据及其安全系数和失效概率对径向基函数（RBF）神经网络进行训练和测试,从而建立边坡安全系数和失效概率的预测模型。算例表明,二维随机场模型能相对精确地考虑参数的空间变异性;在此基础上建立的神经网络模型对边坡的安全系数和失效概率具有较高的预测精度,且能极大地节省边坡稳定性分析的时间。     

Genetic algorithm optimized Taylor Kriging surrogate model for system reliability analysis of soil slopes

A Kriging-based surrogate model provides a logically strict and efficient tool to evaluate the system reliability of a slope. However, the constant trend function adopted in the ordinary Kriging (OK) cannot always well capture the nonlinear non-smooth properties of a slope stability problem. Although the universal Kriging (UK) with a linear or a quadratic trend function could be an alternative for some cases, a higher order nonlinear trend function is preferable for some more complicated nonlinear non-smooth cases in the slope stability analysis. To address this problem, a genetic algorithm (GA) optimized Taylor Kriging (TK) surrogate model is proposed for the system reliability analysis of soil slopes in this paper. The proposed surrogate model allows a unified framework of the Kriging, considering different extents of nonlinear properties according to the Taylor expansion order (e.g., can be as high as the fourth order). The GA is introduced to search for the optimal correlation parameters, of which the effectiveness is verified by an analytical example. The feasibility of the proposed surrogate model is then validated by two analytical examples before its application to the practical slope reliability analyses. The results show that the UK model can be incorporated into the TK model, and the TK model provides a higher accuracy and efficiency when facing the highly nonlinear slope stability problems. It is also found that the UK model cannot fully capture the potential nonlinear properties existed in a slope stability model as compared with the higher order TK model.     

基于塑性极限分析上限法理论的土质边坡可靠度分析

将极限分析的上限定理、有限元离散思想、随机规划理论和蒙特卡洛方法这四者结合起来,提出了一种土质边坡可靠度分析的上限数值方法。首先采用三节点有限单元离散土质边坡,然后将土体的抗剪参数设为随机变量,根据上限定理构建同时满足三角形单元的塑性流动约束条件、单元公共边的塑性流动约束条件和单元速度边界条件的机动许可速度场,并根据内功功率等于外功功率条件建立目标函数,构建土质边坡可靠度分析的上限法随机规划模型。采用蒙特卡洛方法求解上限法随机规划模型,同时提出了一种基于上限法速度场的边坡失效风险系数估算方法,该方法特别适用于具有多种失效模式的边坡风险分析。对2个经典算例进行了深入分析,验证了方法的正确性。     

Slope stability analysis by SRM-based rock failure process analysis (RFPA)

The fundamental principles of the strength reduction method (SRM) are incorporated into the rock failure process analysis (RFPA) code to produce an RFPA–SRM method for analysing the failure process and stability of rock and soil slopes. The RFPA–SRM method not only satisfies the global equilibrium, strain-consistent, and non-linear constitutive relationship of rock and soil materials but also takes into account the heterogeneous characteristics of materials on the micro- and macro-scales. When the proposed method is used for slope stability analysis, both the critical failure surface and the safety factor can be obtained directly without any assumptions regarding the shape and location of the failure surface. The numerical results agree well with those obtained using conventional limit equilibrium and other FEM strength reduction methods. The proposed technique is applied to a number of more complex cases, including slopes in mixed rock–soil formations, rock layer formations, and highly jointed rock masses. It is shown that the RFPA–SRM method can describe the mechanism of failure of slopes and has potential applications in a large range of geoengineering problems.     

Design Charts for the Stability Analysis of Unsaturated Soil Slopes

Simple limit equilibrium analyses can be performed to determine the Factor of Safety (FOS) against slope failure of unsaturated soil slopes. However, many of the input parameters needed for these analyses are highly variable, and the FOS value obtained is critically dependent on assumptions made by the designer. This paper describes a suite of reliability analyses on unsaturated soil slopes performed using an invariant reliability model. The results are presented in design charts from which a designer can choose the FOS value required to ensure a given target reliability index for a slope. The approach ensures that despite the variability of input parameters the slope will have a probability of failure of 2.23% or less.     

System reliability analysis of slopes using multilayer perceptron and radial basis function networks

This paper presents a system reliability analysis method for soil slopes on the basis of artificial neural networks with computer experiments. Two types of artificial neural networks, multilayer perceptrop (MLP) and radial basis function networks (RBFNs), are tested on the studied problems. Computer experiments are adopted to generate samples for constructing the response surfaces. On the basis of the samples, MLP and RBFN are used for establishing the response surface to approximate the limit state function, and Monte Carlo simulation is performed via the MLP and RBFN response surfaces to estimate the system failure probability of slopes. Experimental results on 3 examples show the effectiveness of the proposed methodology.     

边坡稳定分析的神经网络改进模糊点估计法

边坡稳定性分析中,模糊点估计法能同时考虑模糊不确定性和随机不确定性因素。针对传统模糊点估计法计算工作量大的缺点,提出一种神经网络改进模糊点估计法。利用拉丁超立方抽样法和径向基函数神经网络（RBF）建立边坡安全系数的预测模型;对黏聚力和内摩擦角等模糊随机变量取λ截集,并在各截集水平对参数进行组合;利用建立的预测模型对各参数组合的安全系数进行预测;最后由统计矩点估计法计算边坡的可靠度指标。实例分析表明：改进模糊点估计法使用方便、结果可靠,且能通过增加λ截集水平的数目来提高计算精度。对于含有2～4个模糊随机变量的边坡,采用改进模糊点估计法计算可靠度时λ截集水平的数目可近似取25。     

基于聚类分析的边坡稳定性研究

在边坡稳定性分析中,滑面搜索方法对于得到边坡的稳定性系数至关重要。现今两种常用的边坡稳定性分析方法,极限平衡法以及强度折减法,可以得到极限应力状态下边坡的潜在滑面。而为了评价边坡在当前应力场下的稳定性,提出一种基于聚类分析概念的滑面搜索方法。这种方法综合考虑了边坡各点的位移以及点安全系数,采用K均值聚类法将具有相近性质的点进行分类,把边坡体分为潜在危险区以及稳定区。潜在危险区的边界即为边坡在当前应力状态下的潜在滑面,并运用矢量和方法计算得到其稳定性系数。采用上述方法对3个算例进行验算,并与极限平衡法以及强度折减法进行对比。结果表明：（1）基于聚类分析的边坡稳定性评价方法具有较好的合理性和可靠性;（2）当边坡处于临界状态附近,通过聚类分析得到的潜在滑面与其他两种方法得到的滑面基本一致;当边坡处于较稳定状态时,当前应力状态下的潜在滑面要比强度折减法得到的滑动带范围要更深更广,但求出的稳定性系数也较高;当存在软弱夹层时,矢量和计算出的滑面更为陡峻,稳定性系数比其他两种方法的结果要小。     

System reliability analysis of soil slopes with general slip surfaces using multivariate adaptive regression splines

A data driven multivariate adaptive regression splines (MARS) based algorithm for system reliability analysis of earth slopes having random soil properties under the framework of limit equilibrium method of slices is considered. The theoretical formulation is developed based on Spencer method (valid for general slip surfaces) satisfying all conditions of static equilibrium coupled with a nonlinear programming technique of optimization. Simulated noise is used to take account of inevitable modeling inaccuracies and epistemic uncertainties. The proposed MARS based algorithm is capable of achieving high level of computational efficiency in the system reliability analysis without significantly compromising the accuracy of results.     

多层边坡破坏机制数值模拟研究

通过大量的多层边坡算例来分析FLAC3D强度折减法在不同强度、坡比和层厚的情况下所得安全系数与滑动面位置的变化规律,并与极限平衡法进行对比,探究强度折减法和极限平衡法所得结果产生差异的原因,揭示多层边坡的破坏机制。数值模拟计算结果表明:①对于上层土体强度较软的边坡,当上下层强度相差到一定程度,表现为上层破坏,强度折减法与极限平衡法的安全系数相对差值最大,达5%~7%;上层土体厚度h增加时,安全系数逐渐减小;上层土体位于地表以下时,滑动面通过坡趾,安全系数保持不变。②对于下层土体强度较软的边坡,当上下层强度相差到一定程度,强度折减法所得安全系数基本保持不变,但极限平衡法仍保持增长趋势,最大相对差值可达12%;上层土体厚度h增加时,安全系数也相应增大,h位于9~12 m,边坡表现为深层破坏;而h=12 m时,极限平衡法的滑动面却通过坡趾,但安全系数相差很小。当h的变化范围在3~5 m,两种方法的安全系数相对差值最大,达6%~10%。破坏区分布分析表明,边坡呈拉伸-剪切复合破坏,对于下层土体强度较软的边坡,复合破坏模式更显著,与单一剪切破坏模式相比,最大有10%左右的相对差值。     

An adaptive high-dimensional model representation method for reliability analysis of geotechnical engineering problems

In this study, a new reliability analysis method was developed based on the adaptive high-dimensional model representation (HDMR) and applied to geotechnical engineering problems. For practical problems requiring finite element (FE) analysis or other numerical methods to evaluate system responses such as stresses and deformations, an efficient and accurate metamodeling technique is needed because it is not efficient or straightforward to directly adopt the conventional sampling-based or gradient-based reliability analysis approaches. In this work, an adaptive metamodeling approach was created and studied based on the HDMR framework and augmented radial basis functions (ARBFs). In this adaptive ARBF-HDMR technique, a simple and inexpensive first-order ARBF-HDMR metamodel was first constructed to explicitly express a performance function, and an alternate first-order reliability method (FORM) was applied to locate the design point and compute the reliability index. A local window was then defined such that additional sample points were generated and a higher-order HDMR component function was created using ARBF and added to the existing ARBF-HDMR metamodel. The accuracy of the ARBF-HDMR metamodel was improved through this adaptive process, especially in the region surrounding the design point. One mathematical and four geotechnical engineering problems were studied and solved using the proposed adaptive ARBF-HDMR approach. The proposed method was found to be capable of obtaining accurate reliability indices within a few iterations in all test problems.