The anisotropy of magnetic susceptibility in biotite, muscovite and chlorite single crystals

The anisotropy of magnetic susceptibility (AMS) of single crystals of biotite, muscovite and chlorite has been measured in order to provide accurate values of the magnetic anisotropy properties for these common rock-forming minerals. The low-field AMS and the high-field paramagnetic susceptibility are defined. For the high-field values, it is necessary to combine the paramagnetic deviatoric tensor obtained from the high-field torque magnetometer with the paramagnetic bulk susceptibility measured from magnetization curves of the crystals. This leads to the full paramagnetic susceptibility ellipsoid due to the anisotropic distribution of iron cations in the silicate lattice. The ellipsoid of paramagnetic susceptibility, which was obtained for the three phyllosilicates, is highly oblate in shape and the minimum susceptibility direction is subparallel to the crystallographic c-axes. The anisotropy of the susceptibility within the basal plane of the biotite has been evaluated and found to be isotropic within the accuracy of the instrumental measurements. The degree of anisotropy of biotite and chlorite is compatible with previously reported values while for muscovite the smaller than previously published values. The shape of the chlorite AMS ellipsoid for all the samples is near-perfect oblate in contrast with a wide distribution of oblate and prolate values reported in earlier studies. Reliable values are important for deriving models of the magnetic anisotropy where it reflects mineral fabrics and deformation of rocks.     

From geometry to dynamics of microstructure: using boundary lengths to quantify boundary misorientations and anisotropy

The microstructure of a quartzite experimentally deformed and partially recrystallised at 900 °C, 1.2 GPa confining pressure and strain rate 10⁻⁶/s was investigated using orientation contrast and electron backscatter diffraction (EBSD). Boundaries between misoriented domains (grains or subgrains) were determined by image analysis of orientation contrast images. In each domain, EBSD measurements gave the complete quartz lattice orientation and enabled calculation of misorientation angles across every domain boundary. Results are analysed in terms of the boundary density, which for any range of misorientations is the boundary length for that range divided by image area. This allows a more direct comparison of misorientation statistics between different parts of a sample than does a treatment in terms of boundary number.The strain in the quartzite sample is heterogeneous. A 100×150 μm low-strain partially recrystallised subarea C was compared with a high-strain completely recrystallised subarea E. The density of high-angle (>10°) boundaries in E is roughly double that in C, reflecting the greater degree of recrystallisation. Low-angle boundaries in C and E are produced by subgrain rotation. In the low-angle range 0–10° boundary densities in both C and E show an exponential decrease with increasing misorientation. The densities scale with exp(−θ/λ) where λ is approximately 2° in C and 1° in E; in other words, E has a comparative dearth of boundaries in the 8–10° range. We explain this dearth in terms of mobile high-angle boundaries sweeping through and consuming low-angle boundaries as the latter increase misorientation through time. In E, the density of high-angle boundaries is larger than in C, so this sweeping would have been more efficient and could explain the relative paucity of 8–10° boundaries.The boundary density can be generalised to a directional property that gives the degree of anisotropy of the boundary network and its preferred orientation. Despite the imposed strain, the analysed samples show that boundaries are not, on average, strongly aligned. This is a function of the strong sinuosity of high-angle boundaries, caused by grain boundary migration. Low-angle boundaries might be expected, on average, to be aligned in relation to imposed strain but this is not found.Boundary densities and their generalisation in terms of directional properties provide objective measures of microstructure. In this study the patterns they show are interpreted in terms of combined subgrain rotation and migration recrystallisation, but it may be that other microstructural processes give distinctive patterns when analysed in this fashion.     

新疆盐渍土分散性研究

通过研究分析盐渍土及改变盐渍含量对分散性试验的影响,认为土块试验、针孔试验对受高钠离子影响的盐渍土分散性评价是较为有效的方法。新疆土料石膏发育,环境水中Ca2+离子丰富,分散性评价最好在工程实际情况下进行。     

平板载荷试验应思考的几个问题

提出了平板载荷试验中的几个问题:(1)复合地基平板载荷试验垫层的重要性;(2)复合地基平板载荷试验存在尺寸效应;(3)单墩或单桩平板载荷试验不完善。重点对目前广泛使用的复合地基荷载试验进行了讨论,以引起检测人员注意。     

止水帷幕在高层建筑深基坑中的应用

某高层建筑基坑西侧紧邻一道河沟,水量较大,采取三重管高压摆喷帷幕止水[1～4],施工完成后通过监测,未发现渗漏、地下水位明显下降和周围建筑物沉降现象。     

岩体断层基础加固与溶洞灌浆处理中的高压灌浆技术

阐述了在岩体断层加固和溶洞处理中的高压灌浆技术,分析了高压灌浆的作用机理,灌浆压力控制的方法,介绍了高压灌浆在水利枢纽工程上的应用效果。     

洪家渡水电站左坝肩高边坡稳定及加固措施研究

贵州洪家渡水电站左坝肩高边坡开挖高度310 m,采用弹塑性有限元数值模拟方法对左坝肩高边坡施工期岩体应力应变状态进行分析研究,并结合现场变形观测资料对计算结果进行验证,从而对左坝肩高边坡的稳定性进行评价并提出相应的加固措施。     

兴山县龙王嘴边坡稳定性分析与加固设计

龙王嘴边坡系坡高达70 m、坡角达70 °的高陡岩质边坡。分析了宜-秭公路石峡段龙王嘴高边坡变形的地质条件,在定量评价龙王嘴高边坡稳定性的基础上,进行了该高边坡的施工图加固设计。根据其特点将350 m长的坡段分为A,B,C三个区,分别采取预应力锚索与锚杆加固、挂网喷射混凝土支护和喷射混凝土支护等措施,实践证明,工程治理效果良好。     

盾构隧道壁后注浆效果的雷达探测研究

盾构隧道的纵向力学与变形性态研究,尤其是盾尾壁后注浆效果已经引起国内外学者的广泛关注,笔者首次利用探地雷达方法,对上海某盾构隧道盾尾壁后注浆分布进行探测,并进行了初步的分析,结果表明,利用该方法可有效地探测隧道壁后的注浆分布,为隧道纵向力学变形性态的控制提供一定依据。     

Development of Geological Data Warehouse

Data warehouse (DW), a new technology invented in 1990s, is more useful for integrating and analyzing massive data than traditional database. Its application in geology field can be divided into 3 phrases: 1992-1996, commercial data warehouse (CDW) appeared; 1996-1999, geological data warehouse (GDW) appeared and the geologists or geographers realized the importance of DW and began the studies on it, but the practical DW still followed the framework of DB; 2000 to present, geological data warehouse grows, and the theory of geo-spatial data warehouse (GSDW) has been developed but the research in geological area is still deficient except that in geography. Although some developments of GDW have been made, its core still follows the CDW-organizing data by time and brings about 3 problems: difficult to integrate the geological data, for the data feature more space than time; hard to store the massive data in fifferent levels due to the same reason; hardly support the spatial analysis if the data are organized by time as CDW does. So the GDW should be redesigned by organizing data by scale in order to store mass data in different levels and synthesize the data in different granularities, and choosing space control points to replace the former time control points so as to integrate different types of data by the method of storing one type data as one layer and then to superpose the layers. In addition, data cube, a wide used technology in CDW, will be no use in GDW, for the causality among the geological data is not so obvious as commercial data, as the data are the mixed result of many complex rules, and their analysis needs the special geological methods and software; on the other hand, data cube for mass and complex geo-data will devour too much store space to be practical. On this point, the main purpose of GDW may be fit for data integration unlike CDW for data analysis.