吉林台水电站厂房高边坡稳定性及加固措施研究   总被引：2，自引：0，他引：2  

杨健  耿克勤 《水文地质工程地质》2004,31(2):41-44

吉林台水电站厂房后边坡开挖形成140～340m的高边坡,保证其长期运行稳定性至关重要。在结合地质资料对边坡的失稳模式进行初步判断的基础上,采用极限平衡分析方法对正常蓄水、暴雨影响、地震荷载等工况条件下边坡的整体抗滑稳定性进行分析,得出暴雨对边坡稳定影响较大的结论,据此提出以排水结合预应力锚索为主的边坡加固增稳措施,实践证明该措施是有效的。  相似文献   

人工土层冻结法加固在盾构出洞施工中的应用   总被引：10，自引：0，他引：10  

秦爱芳  李永和 《岩土力学》2004,25(Z2):449-452

软土地区盾构出洞施工中洞口土体易失稳、渗水,上海明珠线二期工程浦东大道站至张扬路站区间,隧道在盾构出洞施工中,为确保地面建筑及地下管线的安全及正常使用,首次采用了人工土层冻结加固,取得了良好的效果;本文介绍了该工程出洞口土体加固的方案选择、关键技术处理及实际取得的效果,并探讨了人工土层冻结加固在含水松软土层的地下工程中的应用前景.  相似文献   

Web Use in Geographical and Environmental Education: An International Survey at the Primary and Secondary Level   总被引：2，自引：0，他引：2  

Lea Houtsonen  Ilta-Kanerva Kankaanrinta  Antti Rehunen 《GeoJournal》2004,60(2):165-174

This article aims to study Web use and Web-based co-operation and collaboration in geographical and environmental education at the primary and secondary level around the world. Recent trends and future opportunities and challenges are taken into account. The theoretical part of the study considers Web use and different forms of Web-based co-operation. Web use and co-operation in education are classified as co-operative learning, collaborative learning or communal learning. Web use in geographical and environmental education is noted to be growing in significance. Web-based co-operation at any level of intensity is associated with many opportunities and challenges. The empirical part of this study involves a survey of geographical and environmental education researchers in various countries about their views of Web use in education. The results of this survey indicate that the Web in general finds minimal use in geographical and environmental education. As access to the Web is limited and only some pupils can use it, co-operation, particularly collaborative learning on the Web, is still rare in geographical and environmental education. The most often used application is e-mail. Researchers recognise the potential of the Web to enhance local, national and international co-operation, and to facilitate a better understanding of geographical and environmental issues at the grass-root level. Web-based learning can also help to increase and deepen the pupils' cultural understanding. Before that, however, problems in access, costs and teacher training must be solved. This revised version was published online in August 2006 with corrections to the Cover Date.  相似文献   

复合注浆法在基础加固中的应用          下载免费PDF全文

郑利松 《探矿工程》2004,31(11):11-14

复合注浆法是将静压注浆法和高压旋喷注浆法进行时序上的结合，分别发挥两种注浆加固方法各自的优点，又可克服各自的技术和工艺缺陷的一种基础加固新方法，它可以较好地对既有建筑物地基和新建建筑基础出现质量问题进行加固处理。简述了复合注浆法的加固作用机理、设计及计算模型，在此基础上通过工程实例介绍其施工技术并分析其加固效果和经济性。  相似文献   

楼层上钻孔灌注桩施工方案可行性分析          下载免费PDF全文

骆嘉成  张海鋆 《探矿工程》2004,31(8):19-20

文华大厦因设计变更，需在已施工的楼层上施工钻孔灌注桩，通过对主要受力部分AB梁进行力学分析，以及对其进行加固，解决了楼层上钻孔灌注桩施工难题。  相似文献   

预应力锚索技术在大型水库除险加固工程中的应用          下载免费PDF全文

呼咏  孙志峰  田野 《探矿工程》2004,31(9):46-47,50

介绍了无粘结预应力锚固技术在吉林省二龙山水库除险加固工程中的应用。对造孔、编索、下索、张拉等工艺进行了详细介绍。  相似文献   

Retrofit-reinforcement of cohesive soil slopes using high strength geotextiles with drainage capability     

T. F. Zimmie  A. Pamuk  K. Adalier  M. B. Mahmud 《Geotechnical and Geological Engineering》2005,23(4):447-459

A series of geotechnical centrifuge physical modeling tests were performed to assess the potential use of a new cost-effective mechanically stabilized earth system for retrofitting marginally stable cohesive slopes. The proposed system utilizes the dual functions of reinforcement and drainage by directly inserting high strength non-woven geotextile strips into slopes, with little or no excavation required behind the slope face. The system significantly increases the factor of safety of potentially unstable cohesive slopes, and can be constructed at less expense and more rapidly than conventional mechanically stabilized earth systems.  相似文献   

Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China     

Mingjuan Xie  Geping Luo  Olaf Hellwich  Amaury Frankl  Wenqiang Zhang  Chunbo Chen  Chen Zhang  Philippe De Maeyer 《水文研究》2021,35(12):e14444

The study of water fluxes is important to better understand hydrological cycles in arid regions. Data-driven machine learning models have been recently applied to water flux simulation. Previous studies have built site-scale simulation models of water fluxes for individual sites separately, requiring a large amount of data from each site and significant computation time. For arid areas, there is no consensus as to the optimal model and variable selection method to simulate water fluxes. Using data from seven flux observation sites in the arid region of Northwest China, this study compared the performance of random forest (RF), support vector machine (SVM), back propagation neural network (BPNN), and multiple linear regression (MLR) models in simulating water fluxes. Additionally, the study investigated inter-annual and seasonal variation in water fluxes and the dominant drivers of this variation at different sites. A universal simulation model for water flux was built using the RF approach and key variables as determined by MLR, incorporating data from all sites. Model performance of the SVM algorithm (R² = 0.25–0.90) was slightly worse than that of the RF algorithm (R² = 0.41–0.91); the BPNN algorithm performed poorly in most cases (R² = 0.15–0.88). Similarly, the MLR results were limited and unreliable (R² = 0.00–0.66). Using the universal RF model, annual water fluxes were found to be much higher than the precipitation received at each site, and natural oases showed higher fluxes than desert ecosystems. Water fluxes were highest during the growing season (May–September) and lowest during the non-growing season (October–April). Furthermore, the dominant drivers of water flux variation were various among different sites, but the normalized difference vegetation index (NDVI), soil moisture and soil temperature were important at most sites. This study provides useful insights for simulating water fluxes in desert and oasis ecosystems, understanding patterns of variation and the underlying mechanisms. Besides, these results can make a contribution as the decision-making basis to the water management in desert and oasis ecosystems.  相似文献   

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

Pijush Samui  T. G. Sitharam 《国际地质力学数值与分析法杂志》2010,34(7):755-770

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.  相似文献   

迁移学习支持下的高分影像山地滑坡灾害解译模型     

郭加伟  李永树  李政  刘锟铭  张帅毅 《测绘科学技术学报》2016,(5):496-501

无人机低空遥感是近年来新兴的一种快速获取灾情信息的手段,如何利用无人机高分影像构建滑坡灾害解译模型是实现快速自动解译滑坡的关键。针对该问题,对比了多种影像特征提取方法,将迁移学习(TL)特征和支持向量机(SVM)引入到构建滑坡灾害自动解译模型中,提出了一种TL支持下的高分影像滑坡灾害解译模型。选取5·12汶川地震及4·20芦山地震系列无人机影像构建了滑坡灾害样本库并进行了实验,TL特征方法整体分类准确度ACC为95%,ROC达到0.98,识别准确率达到97%。结果表明,所提方法可用于高分影像滑坡自动解译,同时可用于大面积高分影像中快速山地滑坡灾害定位及检测。  相似文献