俯伪斜分段密集采煤法三维有限元数值模拟研究

俯伪斜分段密集采煤法,作为一种较新的采煤方法,在我国技术上还不很成熟,因此,首次针对京煤集团木城涧矿大台井的地质条件和赋煤状况,通过简化建立三维立体有限元模型,模拟计算了该矿煤层顶底板在开采前后运动变化情况。结果表明:煤层倾角、推采距离和开采巷道数三者是影响煤层顶底板运动规律的重要因素,得到了表征顶底板运动规律的顶底板法向最大应力和法向最大位移与三影响因素关系曲线,详细阐述了三影响因素下的煤层顶底板运动规律;同时,对现场开采中支撑压力大小,特别是在三影响因素下,超前支撑压力的作用范围与应力峰值位置进行了数值计算,并总结了其影响规律;最后,指出了该数值分析方法对现场开采将具有十分重要的应用价值和指导意义。     

深基坑复合喷锚支护技术探讨

工程实践表明,复合喷锚支护是一种有效的深基坑支护型式,它可用于土层条件差、安全性要求高、变形控制严格的基坑工程中。复合支护中锚杆为主要受力构件,竖向花管为辅助受力构件,可起到限制、减小土体变形的作用。由于竖向注浆花管的加入,花管及注浆体抗剪作用加强,使基坑的整体稳定性得以大幅度提高。探讨了复合喷锚支护整体稳定性分析方法,建议将滑动区域分为加固土和原土两部分,将锚管注浆形成的注浆体等效为一层加固土,按喷锚支护模型计算复合喷锚支护整体稳定性。     

Book Reviews

Aryeetey-Attoh, SamuelGeography of Sub-Saharan Africa Chew, Sing C. and Denemark, Robert A.(eds) The Underdevelopment of Development: Essays in Honor of Andre Gunder Frank Chinn, Jeff and Kaiser, RobertRussians as the New Minority: Ethnicity and Nationalism in the Soviet Successor States Curtis, Sarah and Taket, AnnHealth and Societies: Changing Perspectives Dudley, Nigel; Jeanrenaud, Jean-Paul and Sullivan, FrancisBad Harvest? The Timber Trade and the Degradation of the World's Forests Ellis, Steven and Mellor, AnthonySoils and Environment Gradus, Yehuda and Lithwick, Harvey (eds)Frontiers in Regional Development Green, Milford B. and McNaughton, Rod B. (eds)The Location of Foreign Direct Investment: Geographic and Business Approaches Greenberg, Michael and Schneider, DonaEnvironmentally Devastated Neighborhoods: Perceptions, Policies, and Realities Griffiths, Ieuan Ll.The African Inheritance Harrison, Lynn C. and Husbands, Winston (eds)Practicing Responsible Tourism: International Case Studies in Tourism Planning, Policy, and Development Jensen, John R.Introductory Digital Image Processing: A Remote Sensing Perspective Pacione, MichaelGlasgow: The Socio-Spatial Development of the City Platt, Rutherford H.Land Use and Society: Geography, Law, and Public Policy Rhodes, Martin (ed.)The Regions and the New Europe: Patterns in Core and Periphery Development Salant, Priscilla and Waller, Anita J.Guide to Rural Data Schnell, Izhak; Sofer, Michael and Drori, Israel Arab Industrialization in Israel: Ethnic Entrepreneurship in the Periphery Shelley, Fred M.; Archer, J. Clark; Davidson, Fiona M. and Brunn, Stanley D.Political Geography of the United States Taffe, Edward J.; Gauthier, Howard L. and O'Kelly, Morton E.Geography of Transportation     

大跨度切眼锚网锚索支护研究

全煤大跨度切眼传统的支护方式是钢棚支护,为解决无轨胶轮车直接进入工作面,提高工作面设备安装效率,课题组进行锚网锚索支护试验与研究。该项目的试验成功,为矿井高产高效创造了条件。     

库区塌岸空间信息管理系统构建

以ArcGIS为平台，扩展其专业功能，建立一套集库区塌岸预测与防治有关的基本信息采集、信息管理、预测评价，以及塌岸防治工程决策于一体的“库区塌岸信息管理系统及防治决策支持系统”。建立起库区各数据库和各库岸段的塌岸模式数据库，结合典型塌岸防治实例、专家经验、专家知识，建立塌岸防治决策支持系统，为库区塌岸防治工程的宏观决策提供技术支撑，同时也可对重大灾情进行及时预警预报提供数据支撑。     

Design of backfilled thin-seam coal pillars using earth pressure theory

In underground coal mining any increase in coal recovery rate is dependent on a decrease in pillar size. Backfilling is one way of reducing the required size of pillars and hence the volume of coal left underground. Therefore any comparisons made between a self-supported mine layout and backfill supported mine layout are based directly on pillar design. The most effective way to examine the effect of backfill on pillar support, and subsequently the rate of recovery, would be to incorporate the mechanisms of backfill support directly into the current design procedure for coal pillars. This paper presents a review of the mechanics of backfill support, a method of estimating the magnitude of that support based on earth pressure theory, and an example that incorporates backfill support into current coal pillar design.     

复杂环境条件下深基坑综合支护措施的应用

北京某交易中心一期基坑工程属大型深基坑工程，各种地下管线和地上建(构)筑物复杂，介绍了针对其复杂环境条件的综合支护措施的设计思路与实际应用效果。     

Ensemble prediction of regional droughts using climate inputs and the SVM–copula approach

In this study, the climate teleconnections with meteorological droughts are analysed and used to develop ensemble drought prediction models using a support vector machine (SVM)–copula approach over Western Rajasthan (India). The meteorological droughts are identified using the Standardized Precipitation Index (SPI). In the analysis of large‐scale climate forcing represented by climate indices such as El Niño Southern Oscillation, Indian Ocean Dipole Mode and Atlantic Multidecadal Oscillation on regional droughts, it is found that regional droughts exhibits interannual as well as interdecadal variability. On the basis of potential teleconnections between regional droughts and climate indices, SPI‐based drought forecasting models are developed with up to 3 months' lead time. As traditional statistical forecast models are unable to capture nonlinearity and nonstationarity associated with drought forecasts, a machine learning technique, namely, support vector regression (SVR), is adopted to forecast the drought index, and the copula method is used to model the joint distribution of observed and predicted drought index. The copula‐based conditional distribution of an observed drought index conditioned on predicted drought index is utilized to simulate ensembles of drought forecasts. Two variants of drought forecast models are developed, namely a single model for all the periods in a year and separate models for each of the four seasons in a year. The performance of developed models is validated for predicting drought time series for 10 years' data. Improvement in ensemble prediction of drought indices is observed for combined seasonal model over the single model without seasonal partitions. The results show that the proposed SVM–copula approach improves the drought prediction capability and provides estimation of uncertainty associated with drought predictions. Copyright © 2013 John Wiley & Sons, Ltd.     

Site characterization model using least‐square support vector machine and relevance vector machine based on corrected SPT data (Nc)

Statistical learning algorithms provide a viable framework for geotechnical engineering modeling. This paper describes two statistical learning algorithms applied for site characterization modeling based on standard penetration test (SPT) data. More than 2700 field SPT values (N) have been collected from 766 boreholes spread over an area of 220 sqkm area in Bangalore. To get N corrected value (N_c), N values have been corrected (N_c) for different parameters such as overburden stress, size of borehole, type of sampler, length of connecting rod, etc. In three‐dimensional site characterization model, the function N_c=N_c (X, Y, Z), where X, Y and Z are the coordinates of a point corresponding to N_c value, is to be approximated in which N_c value at any half‐space point in Bangalore can be determined. The first algorithm uses least‐square support vector machine (LSSVM), which is related to a ridge regression type of support vector machine. The second algorithm uses relevance vector machine (RVM), which combines the strengths of kernel‐based methods and Bayesian theory to establish the relationships between a set of input vectors and a desired output. The paper also presents the comparative study between the developed LSSVM and RVM model for site characterization. Copyright © 2009 John Wiley & Sons, Ltd.     

基于CityEngine的三维城市规划设计与研究

城市规划领域越来越需要三维建模技术的支持。CityEngine作为一种新型的三维建模软件,不仅可以批量生成规划模型,还可以用来辅助三维城市规划设计。本文基于CityEngine规则建模方法,实现了规划方案对比、建筑体量调整、规划指标计算等功能,通过对某小区进行实际建模验证,证明了CityEngine可以为城市规划者们提供新的思路,为城市设计和城市管理提供决策支持。