The heat capacity of two natural chlorite group minerals derived from differential scanning calorimetry

The heat capacity of natural chamosite (X_Fe=0.889) and clinochlore (X_Fe=0.116) were measured by differential scanning calorimetry (DSC). The samples were characterised by X-ray diffraction, microprobe analysis and Mössbauer spectroscopy. DSC measurements between 143 and 623?K were made following the procedure of Bosenick et?al. (1996). The fitted data for natural chamosite (CA) in J?mol^?1?K^?1 give: C _p,CA = 1224.3–10.685?×?10³?×?T ^??0.5???6.4389?× 10⁶?×T ^??2?+?8.0279?×?10⁸?×?T ^??3 and for the natural clinochlore (CE): C _p,CE = 1200.5–10.908?×?10³?×T ^??0.5?? 5.6941?×?10⁶?×?T ^??2?+?7.1166?×?10⁸?×?T ^??3. The corrected C _p-polynomial for pure end-member chamosite (Fe₅Al)[Si₃AlO₁₀](OH)₈ is C _p,CAcor = 1248.3–11.116?× 10³?×?T ^??0.5???5.1623?×?10⁶?×?T ^??2?+?7.1867?×?10⁸×T ^??3 and the corrected C _p-polynomial for pure end-member clinochlore (Mg₅Al)[Si₃AlO₁₀](OH)₈ is C _p,CEcor = 1191.3–10.665?×?10³?×?T ^??0.5???6.5136?×?10⁶?×?T ^??2?+ 7.7206?×?10⁸?×?T ^??3. The corrected C _p-polynomial for clinochlore is in excellent agreement with that in the internally consistent data sets of Berman (1988) and Holland and Powell (1998). The derived C _p-polynomial for chamosite (C _p,CAcor) leads to a 4.4% higher heat capacity, at 300?K, compared to that estimated by Holland and Powell (1998) based on a summation method. The corrected C _p-polynomial (C _p,CAcor) is, however, in excellent agreement with the computed C _p-polynomial given by Saccocia and Seyfried (1993), thus supporting the reliability of Berman and Brown's (1985) estimation method of heat capacities.     

化学腐蚀下砂岩三轴细观损伤机理及损伤变量分析

利用CT识别技术对化学腐蚀下的砂岩进行了三轴加载全过程的即时扫描试验，得到了在不同级荷载作用下砂岩的压密、微裂纹萌生、扩展和破裂的CT图像和CT数，分析了砂岩损伤演化的细观机理。同时，建立了一个基于化学腐蚀影响和CT数的损伤变量模型。     

四川九龙里伍铜矿主要矿石矿物扫描电镜能谱分析

运用扫描电镜能谱分析(SEM+EDS)方法对里伍铜矿主要矿石矿物的研究表明:闪锌矿中含有质量分数大于8%的Fe元素,黄铜矿和磁黄铁矿中含有少量的Cr元素。在矿石样品中首次发现硒铋矿的类质同像矿物、自然铋及核燃料氧化物。     

Generation of 3D virtual geographic environment based on laser scanning technique

This paper demonstrates an experiment on the generation of 3D virtual geographic environment on the basis of experimental flight laser scanning data by a set of algorithms and methods that were developed to automatically interpret range images for extracting geo-spatial features and then to reconstruct geo-objects. The algorithms and methods for the interpretation and modeling of laser scanner data include triangulated-irregular-net-work (TIN)-based range image interpolation; mathematical-morphology (MM)-based range image filtering, feature extraction and range image segmentation, feature generalization and optimization, 3D objects reconstruction and modeling; computergraphics (CG)-based visualization and animation of geographic virtual reality environment.     

Spectral Filtering and Classification of Terrestrial Laser Scanner Point Clouds

A method is presented for filtering and classification of terrestrial laser scanner point clouds. The algorithm exploits the four-channel (blue, green, red and near infrared) multispectral imaging capability of some terrestrial scanners using supervised, parametric classification to assign thematic class labels to all scan cloud points. Its principal advantage is that it is a completely data-driven algorithm and is independent of spatial sampling resolution since the processing is performed in four-dimensional spectral feature space. Its application to two data-sets of different spatial extent and spatial and spectral complexity is reported, for which respective overall classification accuracies of 87·0% and 82·0% were achieved. Analysis of the input data with emphasis on the characteristics pertinent to the anticipated outcomes precedes detailed analysis of the classification results and error sources and their causes. Erroneously classified points are attributed to radiometric errors stemming from both detector hardware and physical effects.     

基于LiDAR技术的古建筑复杂曲面三维重建

随着信息技术和测绘科学的迅猛发展,传统的空间数据获取模式已经不能满足现在的信息化需求。三维激光扫描技术的出现,推动了现代化测绘技术的发展,其高精度、快速的非接触式扫描测绘方法改变了传统空间数据采集模式。古建筑文化遗产的三维数字化保护是目前社会的研究热点,利用三维激光扫描技术来重建古建筑独特复杂的表面模型,为古建筑数字化管理和修复提供数据参考是一个很有意义的事情。本文以利用地面三维激光扫描系统构建古建筑三维模型为研究对象,通过洞窟类实例对古建筑点云数据处理和NUBRS三维模型复杂曲面重建技术进行研究与探讨。     

新疆罗布泊含钾地层矿物扫描电镜研究

运用扫描电子显微镜对采自ZK1200B钻孔1.12～53.00 m处岩芯的部分样品进行了分析研究。据此,较精确地划分出了4层含钾岩层,发现有钾石盐、光卤石、杂卤石、泻利盐、硫锶钾石、天青石等固体盐类矿物,其中的硫锶钾石和天青石矿物在新疆罗布泊地区属首次发现。钙芒硝岩层中含有硫锶钾石、天青石,推断其锶可能来源于深部地层水（或油田水）的补给,对罗布泊地区钾盐矿的成因研究具有重要意义。     

基于BP神经网络的三维激光测高数据拟合方法

针对三维激光测高拟合问题，本文采用BP神经网络进行拟合，该方法可以有效地消除或减弱数据中的系统误差影响，提高计算精度。实际算例证明，在数据无粗差情况下，BP神经网络的内符合与外符合精度优于传统的二次曲面拟合的精度。     

高分辨率三维激光扫描数据的微小变形统计分析

地基三维激光扫描数据具有高精度、高空间分辨率的特点,能够改变传统的单点变形观测模式,使传统的点测量向“形测量”转化,因而大量的变形监测数据使得通过数学统计的方法探测变形量小于测量精度的微小变形成为可能。利用高分辨率三维激光扫描数据的微小变形统计分析方法,提出了基于反射值影像和BaySAC的拼接方法提高拼接精度;通过拟合方式提高整体分析精度,而影响拟合精度的主要因素为粗差,因此采用RanSAC算法剔除粗差,提高拟合的精度;然后利用格网化方法消弱偶然误差、修正拼接误差,最终得到变形量。采用建筑墙面及地铁隧道的点云数据进行了微小变形检测的实验,证明了该方法的有效性。     

三维激光扫描技术在数字矿山领域的应用

随着数字矿山概念的提出,矿山管理对空间三维信息的需求也显得更加迫切,三维可视化的管理模式已经成为数字矿山的主要内容之一,而目前常规的测量方式所获取的数据很难满足三维数字矿山的需要。三维激光扫描技术具有高分辨率、高采样率以及非接触式测量优势,非常适用于获取矿山的复杂表面和高危区域的空间三维信息。本文结合三维激光扫描的技术优势探讨该技术在数字矿山中的应用和方法,总结了三维激光扫描技术在数字矿山领域的应用方向。