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杨峰峰, 张巨峰, 郑 超, 许 泰.湘潭地区红层软岩在淋雨条件下崩解的分形维数研究水资源与水工程学报[J].,2020,31(5):213-217
湘潭地区红层软岩在淋雨条件下崩解的分形维数研究
Study on the fractal dimension of red-bed soft rock disintegration in Xiangtan,Hunan Province under rain conditions
  
DOI:10.11705/j.issn.1672-643X.2020.05.31
中文关键词:  红层软岩  崩解  淋雨  分形维数  干湿循环  湘潭地区
英文关键词:red-bed soft rock  disintegration  rain  fractal dimension (DV)  dry and wet cycle  Xiangtan of Hunan Province
基金项目:甘肃省高等学校创新能力提升项目(2019B-154);甘肃省青年科技基金项目(18JR3RM240);甘肃省安全生产科技项目(GAJ00011)
作者单位
杨峰峰1, 张巨峰1,2, 郑 超1, 许 泰1 (1.陇东学院 能源工程学院 甘肃 庆阳 745000 2.湖南科技大学 资源环境与安全工程学院 湖南 湘潭 411201) 
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中文摘要:
      采用室内模拟自然降雨的崩解试验,对湖南湘潭地区的红层软岩制成4种不同质量的试样进行了干湿循环淋雨崩解试验,推导了体积与粒径关联的分形维数DV求解方法,并采用DV对试验后试样的崩解特性进行了研究。结果表明:不同质量红层软岩试样崩解后的累计百分含量与粒径关系曲线的形状非常相似,曲线的形状整体呈上凸型。随着干湿循环次数N的增加,红层软岩试样的大颗粒逐渐减少,小颗粒逐渐增多,崩解物级配曲线渐渐趋于重合,反映出试样的崩解速率逐渐放缓。随着各组试样质量的不断增大,曲线上凸的部分越发突出。随着N的增加,不同质量试样的DV先迅速增大,然后增速逐渐放缓,最终基本达到稳定。随着试样质量的逐渐增加,试样的DV逐渐增大,表明岩样的质量越大,则其崩解的速率越快。
英文摘要:
      In order to study the disintegration characteristics of red-bed soft rock in Xiangtan, Hunan province, the indoor disintegration tests of dry and wet cycles were carried out on four different mass samples under the simulated rain conditions. In addition, the calculation method of fractal dimension (DV) based on the correlation between the volume and the particle size of the rock was deduced and then used to study the disintegration characteristics of the samples after the disintegration tests. The results show that the curve shapes of the relationship between the cumulative percentage and the particle sizes of the samples after disintegration are very similar, which are uniformly convex. With the increase of the number of dry and wet cycles (N), the large particles decrease, the small particles increase gradually, and the grading curves of disintegrated red-bed soft rock tends to coincide, reflecting that the disintegration rate of the samples slows down gradually. Furthermore, the convex part of the curve becomes more and more prominent with the increase of sample mass in each group. With the increase of N, the DV of different sample mass increases rapidly at first, then slows down after the fourth cycle, and finally stabilizes. Besides, with the increase of the sample mass, the DV of the samples increase gradually, indicating that the larger the sample mass is, the faster the disintegration rate will be. This phenomenon can be attributed to the influence of sample size effect on its disintegration characteristics.
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