跨孔电磁波透视法在荷叶塘高架桥岩溶探测中的应用

荷叶塘高架桥桥位区岩溶强烈发育。为查明各桥墩位置深部岩溶发育的类型、规模,勘察中采用了跨孔电磁波透视法。结合钻探和跨孔电磁波测试结果对该桥桥墩位置深部岩溶发育的规律进行了分析,对跨孔电磁波测试的验证和效果进行了讨论。钻孔验证表明跨孔电磁波透视法探测精度较高。综合分析表明,可应用跨孔电磁波透视法成果作为确定桩基础持力层的辅助依据。     

跨孔超声波在混凝土灌注桩质量检测中的应用

文章阐述超声波检测混凝土缺陷的原理，结合工程实例介绍跨孔超声波检测混凝土灌注桩质量的具体操作技术、资料的综合分析和对桩基质量的评价方法，以及对跨孔超声波检测结果的验证。     

跨孔地震CT层析成像在岩溶勘察中的应用

指出了在岩溶发育地区采用常规工程地质勘察方法的不足,简述了跨孔地震CT层析成像进行岩溶勘察的原理及工作方法技术,介绍了一个工程勘察实例,指出了跨孔地震CT层析成像在岩溶,勘察中的应用前景。     

跨孔同步视电阻率测量与应用

本文介绍了跨孔同步视电阻串测量工作方法。用解析法和有限元法计算了球体、二维板状体跨孔同步视电阻率测量曲线特征,并提出解释方法。该方法对解决跨孔间目标体的连通与延伸,确定目标体距测量孔的距离及解决目标体产状等方面具有较好的应用价值。在福建某铜金矿区的方法试验中与无线电波透视法比较取得了今人满意的效果。该方法对探测金属、非金属矿体、岩溶洞穴、断块油藏等方面将会显示出特殊作用。     

应用跨孔地震CT技术检测锚基基础断裂

跨孔地震CT技术是一种实用性较强的高分辨率地震勘探手段,文章叙述了地震CT技术原理及其具体工作方法,并通过锚基基础断裂探测实例与效果,指出跨孔地震CT技术和已知地质资料相结合,将在地质工程等领域具有较好的应用前景.     

原位跨孔试验方法

跨孔测试技术是研究岩土动力特性的一种重要的原位试验方法。本文根据多年来的现场实践,详细阐述了在进行原位跨孔试验时,必须认真考虑震源和三分量检波器的选择、钻孔的数量与孔距,钻孔排列方式、钻孔垂直度测量、三分量检波器与钻孔之间的耦合等因素,文章还介绍了压缩波和剪切的识别和速度误差分析方法。     

跨孔电阻率法有限元数值模拟及反演

油气资源和矿产资源勘探中,常需要较大的勘探深度和较高的深部分辨能力.充分利用现有钻孔的井地或跨孔电阻率成像技术适应这种要求,但引起的视电阻率响应复杂,从而给资料的正确处理与解释带来一定的困难,为此有必要通过正演数值模拟和反演相结合的手段,对理论模型井地或跨孔装置的响应异常规律进行研究.文章通过设计一个典型地质模型,利用Ansys有限元软件对模型进行2D跨孔电阻率法有限元正演计算,并将模拟的响应视电阻率作为反演的输入,结合平滑约束最小二乘反演,分析了异常特征和分布规律.     

混凝土灌注桩的跨孔超声波检测方法研究

通过对跨孔超声波检测方法的理论探讨,结合工程实例,利用声波曲线判定桩身混凝土质量及缺陷的可疑位置,并采用PSD判据法进行辅助分析,从而达到判别桩身缺陷性质及范围的目的。实践证明,采用跨孔超声波法检测混凝土灌注桩桩身质量,其结果直观可靠,为桩身混凝土质量提供了一种有效的检测方法。     

利用跨孔成像方法探寻矿体

利用跨孔地震测量圈定井间的矿体边界，数据初步处理出现的严重问题是：由于利用源静校正影响了矿体的成功成像。然而，经过静校正和仔细处理，矿体边界可采用走时层析和偏移成像清晰地圈定出来，偏移成像不仅非常适应于层析成像，而且能提供较高的空间分辨率，进而可获得较清晰的地质体的图像。这一研究证明：矿体可以用跨孔反射成像有效地圈定出来。     

弹性波测试在核电站基岩深孔中的应用

本文介绍了基岩深孔的弹性波测试原理和测试技术及深孔测试中所采取的有效防水防压措施。并用此完成我国某核电站反应堆基岩深孔(孔深120米)的跨孔和单孔的测试任务,取得预期的结果。同时,对测得的资料进行处理和分析,为该核电站的建造提供了数据。     

Comparison of Press-Replace Method and Material Point Method for analysis of jacked piles

In this study, installation of jacked piles in sand is simulated using Press-Replace Method (PRM) and Material Point Method (MPM) and the results are compared together. This comparison is important because a realistic and yet efficient simulation of installation of jacked piles is an appealing step towards the design and analysis of this type of displacement piles. It is shown that PRM as a method that is founded on small-strain finite element method can produce pile and soil responses that are in a promising agreement with those of MPM which is a finite-deformation analysis method.     

Development of an implicit material point method for geotechnical applications

An implicit material point method (MPM), a variant of the finite element method (FEM), is presented in this paper. The key feature of MPM is that the spatial discretisation uses a set of material points, which are allowed to move freely through the background mesh. All history-dependent variables are tracked on the material points and these material points are used as integration points similar to the Gaussian points. A mapping and re-mapping algorithm is employed, to allow the state variables and other information to be mapped back and forth between the material points and background mesh nodes during an analysis. In contrast to an explicit time integration scheme utilised by most researchers, an implicit time integration scheme has been utilised here. The advantages of such an approach are twofold: firstly, it addresses the limitation of the time step size inherent in explicit integration schemes, thereby potentially saving significant computational costs for certain types of problems; secondly, it enables an improved algorithm accuracy, which is important for some constitutive behaviours, such as elasto-plasticity. The main purpose of this paper is to provide a unified MPM framework, in which both quasi-static and dynamic analyses can be solved, and to demonstrate the model behaviour. The implementation closely follows standard FEM approaches, where possible, to allow easy conversion of other FEM codes. Newton’s method is used to solve the equation of motion for both cases, while the formation of the mass matrix and the required updating of the kinematic variables are unique to the dynamic analysis. Comparisons with an Updated Lagrangian FEM and an explicit MPM code are made with respect to the algorithmic accuracy and time step size in a couple of representative examples, which helps to illustrate the relative performance and advantages of the implicit MPM. A geotechnical application is then considered, illustrating the capabilities of the proposed method when applied in the geotechnical field.     

Multiscale modeling of large deformation in geomechanics

Large deformation soil behavior underpins the operation and performance for a wide range of key geotechnical structures and needs to be properly considered in their modeling, analysis, and design. The material point method (MPM) has gained increasing popularity recently over conventional numerical methods such as finite element method (FEM) in tackling large deformation problems. In this study, we present a novel hierarchical coupling scheme to integrate MPM with discrete element method (DEM) for multiscale modeling of large deformation in geomechanics. The MPM is employed to treat a typical boundary value problem that may experience large deformation, and the DEM is used to derive the nonlinear material response from small strain to finite strain required by MPM for each of its material points. The proposed coupling framework not only inherits the advantages of MPM in tackling large deformation engineering problems over the use of FEM (eg, no need for remeshing to avoid mesh distortion in FEM), but also helps avoid the need for complicated, phenomenological assumptions on constitutive material models for soil exhibiting high nonlinearity at finite strain. The proposed framework lends great convenience for us to relate rich grain-scale information and key micromechanical mechanisms to macroscopic observations of granular soils over all deformation levels, from initial small-strain stage en route to large deformation regime before failure. Several classic geomechanics examples are used to demonstrate the key features the new MPM/DEM framework can offer on large deformation simulations, including biaxial compression test, rigid footing, soil-pipe interaction, and soil column collapse.     

The modelling of anchors using the material point method

The ultimate capacity of anchors is determined using the material point method (MPM). MPM is a so‐called meshless method capable of modelling large displacements, deformations and contact between different bodies. A short introduction to MPM is given and the derivation of the discrete governing equations. The analysis of a vertically loaded anchor and one loaded at 45° is presented. The load–displacement curves are compared to that obtained from experiments and the effect of soil stiffness and anchor roughness is investigated. The results of the vertically loaded anchor are also compared to an analytical solution. The displacement of the soil surface above the anchor was measured and compared to the numerical predictions. Convergence with mesh refinement is demonstrated and the effect of mesh size and dilatancy angle on the shear band width and orientation is indicated. The results show that MPM can model anchor pull out successfully. No special interface elements are needed to model the anchor–soil interface and the predicted ultimate capacities were within 10% of the measured values. Copyright © 2005 John Wiley & Sons, Ltd.     

Back-propagation neural network and support vector machines for gold mineral prospectivity mapping in the Hatu region,Xinjiang, China

Machine Learning technologies have the potential to deliver new nonlinear mineral prospectivity mapping (MPM) models. In this study, Back Propagation (BP) neural network Support Vector Machine (SVM) methods were applied to MPM in the Hatu region of Xinjiang, northwestern China. First, a conceptual model of mineral prospectivity for Au deposits was constructed by analysis of geological background. Evidential layers were selected and transformed into a binary data format. Then, the processes of selecting samples and parameters were described. For the BP model, the parameters of the network were 9–10???1; for the SVM model, a radial basis function was selected as the kernel function with best C?=?1 and γ = 0.25. MPM models using these parameters were constructed, and threshold values of prediction results were determined by the concentration-area (C-A) method. Finally, prediction results from the BP neural network and SVM model were compared with that of a conventional method that is the weight- of- evidence (W- of- E). The prospectivity efficacy was evaluated by traditional statistical analysis, prediction-area (P-A) plots, and the receiver operating characteristic (ROC) technique. Given the higher intersection position (74% of the known deposits were within 26% of the total area) and the larger AUC values (0.825), the result shows that the model built by the BP neural network algorithm has a relatively better prediction capability for MPM. The BP neural network algorithm applied in MPM can elucidate the next investigative steps in the study area.     

堆载诱发型土质滑坡运动特征物质点法模拟

坡顶堆载是人类工程活动诱发滑坡的主因之一。物质点法（MPM）属于一种无网格数值计算方法,它能够有效模拟滑坡大变形全过程物质行为与运动特征。文章基于线性形函数离散方法、MUSL求解格式及Drucker-Prager屈服准则,建立了可用于滑坡全过程模拟的单套单相物质点模型;通过对比干燥铝棒堆积物模拟砂堆失稳过程的基准试验结果,对模型有效性进行了验证。对堆载诱发型土质滑坡典型工况进行了物质点法全过程模拟,获得了滑坡全过程中典型时刻坡体形态、塑性应变分布以及控制点滑速演化趋势。结果表明:算例堆载诱发型土质滑坡属推移型滑坡,具有渐进性破坏特征,可分为坡顶压缩、局部蠕滑、加速滑动与减速滑动等四个阶段。参数分析结果亦表明,堆载诱发型土质滑坡前缘物质运动特征量均与堆载量间存在强正相关性、而与土体黏聚力及内摩擦角存在强负相关性。统计29种典型工况,分别建立了峰值滑动加速度、最大滑速、最大滑距及坡体最大动能等运动特征量与堆载量、土体黏聚力及内摩擦角之间的线性回归方程,可用于堆载诱发型土质滑坡致灾行为预测。     

基于物质点法的土体流动大变形过程数值模拟

土体滑坡作为一种自然地质灾害,受自然因素和人类活动的影响在我国时有发生,给周围居民的生命和财产安全带来了很大威胁,日益受到人们的广泛关注。滑坡防治也逐渐成为工程研究的热点之一。土体本质上是一种具有复杂组成结构的颗粒材料堆积体,通过对颗粒流动的模拟可以深入理解自然界中的土体流动现象,如滑坡、泥石流等,进而预测灾害破坏范围及改进相应工程防护措施。但由于土体流动是一个涉及大变形及大位移的复杂流动过程,传统的基于网格的有限元法（FEM）由于网格畸变,并不适合这类问题的研究。本文采用物质点法（MPM）模拟土体流动大变形问题。作为一种源于particle-in-cell（PIC）法的无网格法,兼具欧拉法和拉格朗日法的优点,因而,物质点法在处理大变形问题上具有独特的优势。目前,国内外利用物质点法模拟边坡滑动问题已有不少研究,但对相关参数进行敏感性分析的较少。本文基于物质点法模拟了黏性土体及无黏性土体流动大变形问题,并进行了参数敏感性分析,包括土体材料的内摩擦角、黏聚力、高宽比、底面坡度对土体滑动距离的影响规律。本文计算中采用Drucker-Prager（DP）弹塑性本构模型描述土的非线性特性。研究结果表明:（1）基于物质点法得到的土体的流动形态、滑动距离以及自然休止角等数值模拟结果均与文献中的实验结果基本吻合,验证了物质点法模拟土体大变形力学行为的精度及有效性;（2）随着内摩擦角、黏聚力的增大,滑动距离相应减小;（3）坡度对边坡稳定的影响是显著的,随着底面坡度的增大,滑动距离相应增大;（4）当土柱高宽比较小时,与滑动距离呈线性增长关系。其中,内摩擦角和黏聚力反映了土体的抗剪切性能,因此通过工程措施提高土体的抗剪能力可以降低土体滑坡带来的危害。研究结果为探索土体滑动破坏规律,降低滑动破坏范围提供了可靠的参考。     

物质点强度折减法及其在边坡中的应用

物质点法适用于模拟连续介质大变形,如边坡失稳全过程。在物质点法中应用强度折减法,用于边坡稳定性评价。与极限平衡法相比,二者安全系数计算值、滑动面位置结果基本一致;与有限元强度折减法相比,物质点法失稳评价标准的物理意义明确。利用物质点法大变形计算优势,评价边坡失稳后的破坏后果,通过算例说明其评价不同安全系数下的滑坡堆积形态及滑移距离的能力,尤其是评价滑坡对临近建筑物的影响程度的能力。物质点强度折减法可用于边坡稳定性评价及边坡破坏后果评价。     

Simulation of geomembrane response to settlement in landfills by using the material point method

Because of the multiple layers of dissimilar materials and large deformations involved in the subsidence of a landfill system, large-scale computer simulation of the geomechanical response to subsidence with the use of conventional numerical methods are problematic. The Material Point (MPM), which was recently developed for dynamic problems such as penetration and perforation, is a newly emerging numerical method. The MPM is modified in this paper to simulate the geomechanical response of a landfill cover system that includes a geomembrane under quasi-static loading conditions. Sample problems, for which an analytical solution is available with certain assumptions, are considered to demonstrate the proposed solution procedure. Future work is discussed based on current research results. Copyright © 1999 John Wiley & Sons, Ltd.     

Determination of stability of slope using Minimax Probability Machine

This article examines the capability of Minimax Probability Machine (MPM) for the determination of stability of slope. MPM is constructed within a probabilistic framework. This study uses MPM as classification and regression tools. Unit weight (γ), cohesion (c), angle of internal friction (φ), slope angle (β), height (H) and pore water pressure coefficient (r_u) have been used as inputs of the MPM model. The outputs of MPM are stability status of slope and factor of safety (F). The results of MPM have been compared with the artificial neural network models. The experimental results demonstrate that the developed MPM is a promising tool for the determination of stability of slope.