首页> 外文会议>International Conference on Advances in Rock Mechanics >Characterization of limestone rocks to improve aggregate quality control
【24h】

Characterization of limestone rocks to improve aggregate quality control

机译:石灰岩岩石的特征改善骨料质量控制

获取原文

摘要

The quality of the aggregates used as building materials is noticeably linked to the quality of the source rocks. That is why researchers have invented many methods in order to control rock material quality. This paper aims to present a classification method of four limestone rocks from quarries in the northern part of Tunisia selected of different geological ages (Lower Jurassic, Upper Cretaceous, and Lower Eocene). This classification is based on ultrasonic measurements and physical and chemical characterization. These physical and chemical characteristics were determined from vacuum water porosity, helium porosity and XRay diffraction tests. This showed a noticeable difference in porosity between the studied rocks. Mineralogy analysis confirms that Calcite is the most predominant mineral. To complete this analysis, SEM images were taken (for a magnification of 1000 and 5000). This allowed visualizing the topography and the morphology of the existing pores and cracks in the samples, as well as their density of occurrence. Finally, the image analysis method applied on the facets of the tested samples made it possible to compare the mesoscopic surface state of the different rocks by introducing the concept of surface crack ratio . The methodology developed allowed us to classify the samples into three groups and to conclude that porosity is the most relevant factor in classifying their quality.
机译:用作建筑材料的聚集体的质量显着地链接到源岩的质量。这就是为什么研究人员为了控制岩石材料的质量已经发明了很多方法。本文旨在从采石场中选择的不同的地质年代(下侏罗纪,上白垩,和下始新世)的突尼斯北部呈现四个石灰岩的分类方法。这种分类是根据超声测量值和物理化学性质。这些物理和化学特性是从真空水孔隙度,氦孔隙度和X射线衍射测试来确定。这表明在所研究的岩石孔隙度之间的显着差异。矿物学分析证实,方解石是最主要的矿物。为了完成这一分析,采取了SEM图像(1000和5000的倍数)。这使得可视化地形和样品中存在的孔和裂缝的形态,以及它们发生的密度。最后,图像分析方法应用在测试的样品的小面使人们有可能通过引入的表面裂纹率的概念不同岩石的介观表面状态进行比较。该方法开发使我们的样本分为三组,并得出结论,孔隙率是其质量分类的最相关因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号