...
首页> 外文期刊>Engineering Geology >Relationships between chemical weathering indices and physical and mechanical properties of decomposed granite
【24h】

Relationships between chemical weathering indices and physical and mechanical properties of decomposed granite

机译:化学风化指数与分解花岗岩物理力学性能的关系

获取原文
获取原文并翻译 | 示例
           

摘要

Chemical weathering is one of the dominant mechanisms for weathering of granite in subtropical and tropical regions resulting in modifications of its chemical, physical and mechanical properties. Thus, the changes in chemical properties may provide insight about the changes in physical and mechanical properties of weathered granite. In this paper three quantitative chemical weathering indices are correlated to the dry density of decomposed granite. A linear relationship is found between each chemical weathering index and dry density for granitic saprolites. Mobiles index (I_(mob)) gives the highest coefficient of correlation among the three chemical weathering indices. Further investigations were conducted to establish the relationships between I_(mob) and other physical and mechanical properties of granitic saprolites. The test results showed that fines content increases with increasing I_(mob), but peak strength increases with decreasing I_(mob). The peak states of granitic saprolites are consistent with Rowe's stress-dilatancy relationship. Dilatancy increases with decreasing I_(mob) that contributes to a higher peak strength. Based on some test results presented in this study, it seems that I_(mob) could be a good indicator to quantify the effects of chemical weathering on physical and mechanical properties of granitic saprolites.
机译:化学风化是亚热带和热带地区花岗岩风化的主要机制之一,导致其化学,物理和机械性能发生变化。因此,化学性质的变化可以提供有关风化花岗岩物理和机械性质变化的见解。本文将三个定量的化学风化指数与分解花岗岩的干密度相关联。花岗岩腐泥土的每个化学风化指数与干密度之间存在线性关系。移动指数(I_(mob))在三个化学风化指数之间给出最高的相关系数。进行了进一步的研究以建立I_(mob)与花岗岩腐泥土的其他物理和机械性能之间的关系。测试结果表明,细粉含量随I_(mob)的增加而增加,但峰值强度随I_(mob)的降低而增加。花岗岩腐泥土的峰态与Rowe的应力-剪胀关系一致。随着I_(mob)的减小,剪胀率增加,这有助于更高的峰强度。根据这项研究中提供的一些测试结果,看来I_(mob)可能是量化化学风化对花岗腐殖质物理和机械性能影响的良好指标。

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