Bond rolling resistance and its effect on yielding of bonded granulates by DEM analyses

A discrete element modelling of bonded granulates and investigation on the bond effect on their behaviour are very important to geomechanics. This paper presents a two‐dimensional (2‐D) discrete element theory for bonded granulates with bond rolling resistance and provides a numerical investigation into the effect of bond rolling resistance on the yielding of bonded granulates. The model consists of mechanical contact models and equations governing the motion of bonded particles. The key point of the theory is that the assumption in the original bond contact model previously proposed by the authors (55th CSCE‐ASCE Conference, Hamilton, Ont., Canada, 2002; 313–320; J. Eng. Mech. (ASCE) 2005; 131 (11):1209–1213) that bonded particles are in contact at discrete points, is here replaced by a more reliable assumption that bonded particles are in contact over a width. By making the idealization that the bond contact width is continuously distributed with the normal/tangential basic elements (BE) (each BE is composed of spring, dashpot, bond, slider or divider), we establish a bond rolling contact model together with bond normal/tangential contact models, and also relate the governing equations to local equilibrium. Only one physical parameter β needs to be introduced in the theory in comparison to the original bond discrete element model. The model has been implemented into a 2‐D distinct element method code, NS2D. Using the NS2D, a total of 86 1‐D, constant stress ratio, and biaxial compressions tests have been carried out on the bonded granular samples of different densities, bonding strengths and rolling resistances. The numerical results show that: (i) the new theory predicts a larger internal friction angle, a larger yielding stress, more brittle behaviour and larger final broken contact ratio than the original bond model; (ii) the yielding stress increases nonlinearly with the increasing value of β, and (iii) the first‐yield curve (initiation of bond breakage), which define a zone of none bond breakage and which shape and size are affected by the material density, is amplified by the bond rolling resistance in analogous to that predicted by the original bond model. Copyright © 2006 John Wiley & Sons, Ltd.     

基于MAPGIS的市政设施数据模型研究

本文主要介绍了市政基本设施的组成,提出了基于MAPGIS基本数据组织的市政设施数据模型,并讨论了市政设施数据模型的实现。从而,利用该数据组织模型可实现城市级的市政设施管理的综合集成与共享,提高市政设施管理和养护水平。     

印度洋岸边某电站工程的岩土工程问题初探

从海岸地带的地理地质环境入手,针对燃煤电站工程的特点,就工程建设中的几个主要岩土工程问题,分析探讨了其成因、特点和对工程建设的制约与影响程度．提出了解决这些问题的对策和建议。     

Habitat, occurrence and conservation of Saharo-Arabian-Turanian element Forsskaolea tenacissima L. in the Iberian Peninsula

The aim of this study is to assess the Iberian populations of Forsskaolea tenacissima L. according to its biogeographical interest, habitat, geographical range and conservation status. Results point out that they are restricted to gravel wadis of Tabernas Desert (SE Spain), are scarcely included in protected areas and represent historically isolated populations with relict behaviour. We also describe a new association, Senecioni-Forsskaoleetum tenacissimae. Conservation status of species is cause for concern and two conservation actions must be carried out. Firstly, protected areas should house Forsskaolea populations and secondly, phytosociological characterization of a community allows inventorying its habitat and directing conservation efforts to community level.     

开发利用地理信息系统(GIS)综合分析地学信息进行矿产预测

众所周知,矿产资源预测是综合地学信息,进行优选靶区的有效手段之一。随着地学工作的深入和勘探技术的发展,已获取了大量的多源地学信息,如地质、地球物理、地球化学和遥感等资料。怎样从这众多的资料中提取有用信息进行综合分析,达到矿产资源预测的目的,一直是地学界探索的课题。过去,应用人工的方法来进行此项工作,不但费力、投资大,而且难以达到预期的效果,方法技术也不利于推广。如今,高速、高质量的计算机已趋于普及,使应用计算机技术高效地处理堆积如山的资料成为可能,尤其是近些年发展起来的地理信息系统(GIS),为综合处理地学资料的矿产资源预测的方法技术,开拓了广阔的前景。地理信息系统是一种计算机系统的应用软件,它集数据库管理和图像分析技术为一体,以空间数据迭加分析为重要特征。地学工作者进行矿产资源预测时,通常是从多源地学资料中提取有用信息,再应用专家知识,结合数学方法,如逻辑运算、贝叶斯(Bayes)规则等,建立预测模型,以模型的推理网格为线索,利用地理信息系统有效的空间分析手段,把各种证据图层综合迭加,最终产生以概率为指标的矿产资源预测图,高概率指示有利的矿产资源远景区,可作为勘探者和决策者进行勘查规划的依据。     

An application of factor analysis for the study of the hydrogeological conditions in Plio-Pleistocene aquifers of NW Achaia (NW peloponnesus, Greece)

R- andQ-mode factor analysis is applied to 51 groundwater samples collected from wells drilled in the Plio-Pleistocene aquifers of NW Achaia, Greece. The purpose ofR- andQ-mode factor analysis application is to identify (i) the regional groundwater flow pattern, and (ii) the deterioration of groundwater quality. Sixteen hydrogeological parameters are used in order to examine their importance and to provide significant insight into their correlations. In theR-mode factor analysis, a six-factor model is suggested which can explain more than 77.5% of the total variance. The contribution of each factor at every site (factor scores) also is computed. Maps are constructed showing the geographical distribution of the factor scores. From these maps, the high salinity areas are delineated (seawater intrusion, possible appearance of halite layers) and the areas with elevated contribution of karastic-water are defined. Using theQ-mode correspondence analysis the meaning of the electrical conductivity as the most important variable in groundwater quality characterization is demonstrated.     

坡地系统土壤侵蚀定量评价方法

区域性土壤侵蚀的定量评在涉及到泥沙输移的非连续性难题和众多的非确定性因素，目前应用较普遍的小区定量难以适用。所提出的定量评价方法是利用ＧＩＳ技术、模糊数学、将以分布参数为特征的区域坡地系统划分成若干类具有集中参数特征的基本侵蚀单元，结合ＵＳＬＥ方程来模拟空间上不同侵蚀背景条件下土壤侵蚀的强度，并可以确定影响土壤侵蚀的主要因子及其排序，该方法适用性强，可用于不同空间尺度的土壤侵蚀定量评价。     

空间分析与自然地理综合研究

通过对空间分析技术和自然地理综合研究发展历程与趋势的分析，得出两个结论：1)现代地理学的快速发展越来越离不开空间分析的支撑，即空间分析技术在地理学中的应用空间愈来愈广，在自然地理综合研究中尤为如此，其主要原因就是空间分析在综合研究中的优势愈来愈明显；2)空间分析技术随其理论与实践的迅速发展及逐步拓展，愈来愈成为自然地理学发展的巨大推动力，也越来越离不开自然地理综合研究这个促使其发展壮大的空间和能发挥其主导作用的领域。空间分析技术和自然地理综合研究的结合已经成为现代自然地理学以及地球空间信息学研究的主要发展趋势之一。     

基于地理国情数据的城市扩张和生态格局分析——以武汉市为例

城市扩张是城镇化的主要特征,研究城市扩张规律对城市空间规划、高质量发展提供决策依据。本文以武汉市为研究区,以2015—2018年地理国情监测成果为主要数据源,通过数据整理与提取、计算城市扩张特征指数、提取城市格局变化、计算生态景观指数等处理,对研究区城市扩张和生态格局变化特征进行分析。研究结果表明:2015—2018年间,武汉市从快速扩张阶段逐渐减缓,紧凑度逐渐下降;中心城市扩张主要以种植土地破坏为代价;远城区快速扩张主要以林草面积减少为代价;在生态指数上,各生态景观类型破碎度均有下降,但水域面积保持良好。     

利用卫星影像和航空影像更新基础地理信息方法研究

基础地理信息的更新,是保证地理信息系统现势性的充要条件.卫星遥感影像数据具有周期短、信息丰富、现势性强等特征.利用卫星影像数据来更新基础地理信息数据是一种行之有效的方法.如何利用遥感数据融合技术,将多传感器获取的各种影像数据中所含的信息优势有机地结合起来,更是成为目前研究的热点.利用航空影像和Landsat多光谱波段影像进行数据融合,能够有效地提高影像空间分辨率,以获取更高质量的信息.