大洋岩石圈和大陆岩石圈的元素丰度

根据大洋地壳、大陆地壳、上地幔和球岩石圈的元素丰度资料,本文初次分别求出大洋岩石圈和大陆岩石圈的元素丰度.可用作研究化学元素在洋圈或陆圈内各地区分布特征的地球化学背景值.     

Reliability bearing capacity analysis of footings on cohesive soil slopes using RFEM

Reliability analysis of bearing capacity of a strip footing at the crest of a simple slope with cohesive soil was carried out using the random finite element method (RFEM). Analyses showed that the coefficient of variation and the spatial correlation length of soil cohesion can have a large influence on footing bearing capacity, particularly for slopes with large height to footing width ratios. The paper demonstrates cases where a footing satisfies a deterministic design factor of safety of 3 but the probability of design failure is unacceptably high. Isotropic and anisotropic spatial variability of the soil strength was also considered.     

鱼耳石中锶和钡富集的影响因素及其环境响应

鱼耳石中元素锶和钡主要来源于鱼类生存的水体,这两种元素通过腮或肠进入内耳淋巴液,继而以类质同象的方式沉淀在耳石晶格内部空位和晶格间隙中。耳石结晶沉淀的整个过程不仅受生物的调控作用,而且还受到外界环境,如水体元素浓度、盐度、温度等因素的影响,因此耳石中某种元素的浓度与其在水体中的浓度之比(元素富集系数)与鱼类所生存的环境之间具有一定的响应关系。在以上各种因素中,水体元素浓度对耳石元素富集系数的影响最为显著。一般来说,耳石中某种元素的含量与水体中相应的元素浓度呈正相关关系,而水体中元素之间就耳石中的富集过程也存在一定的相互促进或抑制作用,如Sr对Ba为协同作用,Ca对Sr、Zn为拮抗作用。另外,水体盐度或温度与元素富集系数之间不存在简单的线性相关关系,而是因鱼种、水体综合环境及元素种类不同而有所差异。研究结果表明:鱼种一定的情况下,耳石中元素富集系数与水体盐度和温度存在良好相关关系。基于以上相关性分析,可以认为耳石中元素富集系数与环境因子(水体元素浓度、盐度、温度)之间存在响应关系。因此,可以选用那些受环境影响大但对自身调控影响小的元素(如:Sr、Zn、Pb、Mn、Ba、Fe、Li、Ni、Cd)来建立耳石与水体环境之间元素富集系数的定量化模型,并利用这种响应关系及定量化模型进行生态环境监测和渔业管理。     

基于AHP–物元可拓模型的顶板水疏放程度评价

为了科学合理地评价工作面顶板水疏放程度,分析了工作面涌水量预测值和疏放水观测值等要素,构建了顶板水疏放程度评价指标体系,划分了相应的评价等级标准,并利用AHP法确定了各评价指标的权重,建立了顶板水疏放程度的物元可拓模型。利用AHP-物元可拓模型对宁东煤田水文地质条件较为复杂的5个工作面顶板水疏放程度进行了评价,评价结果均为顶板水疏放程度好,并且各工作面已经实现了安全回采,实际情况与评价结果一致。AHP-物元可拓模型可以用于评价顶板水疏放程度,并且可以作为工作面采前水文地质条件评价的参考依据。     

冀西北水晶屯金矿F8断裂带深部定位预测

摘要：以冀西北水晶屯金矿为例,通过对该矿床Ｆ８断裂带成矿地质条件和找矿标志的分析研究,建立起了Ｆ８断裂带的地球化学原生晕模型和灰色系统ＧＭ（１．１）模型,并利用这些模型对其深部合矿性进行了预测．经工程验证,该预测效果是可信的．     

公路隧道中系统锚杆的功效研究

系统锚杆是锚喷支护的重要组成部分,目前广泛应用到公路隧道的初期支护中。然而,系统锚杆到底对隧道结构的稳定起到多少作用一直没有有效的定量计算方法。以某高速公路隧道为例,用有限元强度折减法计算了不同地质条件下锚杆对隧道安全系数大小的影响。结合有限元数值模拟,通过对锚杆各种效应的分析后得到如下结论：在很多地质条件下锚杆对公路隧道稳定性影响不大,建议在有条件的情况下可以逐步开展取消系统锚杆的工程试验验证,为公路隧道不设置系统锚杆提供更多的工程依据     

海沟金矿区脉岩特征及其与金矿成矿关系

海沟金矿区脉岩发育,主要类型有闪长玢岩、次安山岩、徨绿岩、正长闪长玢岩,按其与矿脉穿切关系划分为矿脉就位前脉岩、就位后脉岩,它们的地球化学特征表明这些脉岩具有良好的同源演化关系,它们不仅与成矿具有密切的时空关系,而且为金矿成矿带来成矿流体和部分成矿物质.     

基坑悬臂支护桩双参数弹性地基杆系有限元法

对地基抗力双参数法在基坑悬臂支护桩位移和内力计算方面进行了探讨,即采用地基土抗力系数随深度按双参数非线性变化的假设,以弹性地基杆系单元模拟,支护桩则按弹性梁单元模拟。对某基坑悬臂支护桩进行数值模拟反分析表明,通过试算调整可获得适合于实际设计计算的地基抗力双参数,该法应用到福州市某基坑悬臂桩的实际分析和设计中获得了较为满意的结果,可供悬臂支护桩设计计算时参考。     

Finite element analysis for a finite conductivity fracture in an infinite poroelastic medium

In the technology of oil recovery, oil production rate can be increased by generation of a vertical conductive fracture adjacent to the well-bore. In this paper the seepage flow and isothermal deformation in both the oil formation and the fracture are studied by modelling the formation as a two-dimensional infinite poroelastic medium and the conductive fracture as a one-dimensional poroelastic material, saturated by a one-phase compressible fluid. The plane strain condition is employed. Solutions for a growing conductive fracture and a stationary conductive fracture in the infinite medium are obtained by means of the finite element method based on a variational principle for the formation which can impose the governing equations of the fracture. Infinite elements are used outside the finite element domain. Numerical results indicate that the injection rate, the applied pressure and the crack mouth opening displacement at the well-bore oscillate during the propagation of the conductive fracture. The production rate of a well with the conductive fracture is compared with that of a well without the conductive fracture. Finally, a new definition of the conductivity coefficient for the conductive fracture is presented. Copyright © 1999 John Wiley & Sons, Ltd.     

Developing constitutive models from EPR‐based self‐learning finite element analysis

A constitutive model that captures the material behavior under a wide range of loading conditions is essential for simulating complex boundary value problems. In recent years, some attempts have been made to develop constitutive models for finite element analysis using self‐learning simulation (SelfSim). Self‐learning simulation is an inverse analysis technique that extracts material behavior from some boundary measurements (eg, load and displacement). In the heart of the self‐learning framework is a neural network which is used to train and develop a constitutive model that represents the material behavior. It is generally known that neural networks suffer from a number of drawbacks. This paper utilizes evolutionary polynomial regression (EPR) in the framework of SelfSim within an automation process which is coded in Matlab environment. EPR is a hybrid data mining technique that uses a combination of a genetic algorithm and the least square method to search for mathematical equations to represent the behavior of a system. Two strategies of material modeling have been considered in the SelfSim‐based finite element analysis. These include a total stress‐strain strategy applied to analysis of a truss structure using synthetic measurement data and an incremental stress‐strain strategy applied to simulation of triaxial tests using experimental data. The results show that effective and accurate constitutive models can be developed from the proposed EPR‐based self‐learning finite element method. The EPR‐based self‐learning FEM can provide accurate predictions to engineering problems. The main advantages of using EPR over neural network are highlighted.