当前位置: X-MOL 学术Tunn. Undergr. Space Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Characterization of particle size distribution of rock chips and evaluation of rock breaking efficiency of TBM based on multifractal theory: A case study
Tunnelling and Underground Space Technology ( IF 6.7 ) Pub Date : 2025-01-21 , DOI: 10.1016/j.tust.2025.106418
Jianping Liu, Zhijia Zhou, Yucong Pan, Quansheng Liu

In the process of rock breaking by a TBM (Tunnel boring machine), the particle size distribution of rock chips is affected by both rock lithology and TBM operational parameters, showing typical variability and inhomogeneity. Multifractal theory can describe the variability and inhomogeneity of the particle size distribution of rock chips more comprehensively. Therefore, this study attempts to quantitatively analyze the particle size distribution of rock chips by using multifractal parameters based on multifractal theory. Based on the TBM tunnel project in Jiajin Mountain, a method of calculating the volume of rock chips sampled in the field is proposed, and field sieving tests are carried out. The multifractal behaviors of rock chips of sandstone and slate are verified, and the correlations between the multifractal parameters and TBM performance parameters are analyzed. The results show that: under the two lithological conditions, the particle size distribution of rock chips both meets the three conditions of multifractal theory, confirming that the multifractal behavior of the particle size distribution of rock chips is objective. It is further observed that the inhomogeneity of small-sized rock chip intervals is higher than that of large-sized rock chip intervals. In addition, lithology is shown to have a significant impact on the heterogeneity of the particle size distribution of rock chips. Under the two lithological conditions, the information dimension D(1) is positively correlated with the coarseness index (CI) and negatively correlated with the specific energy (SE), while the Hölder index of zero order α(0) is negatively correlated with CI and positively correlated with SE. The use of multifractal parameters D(1) and α(0) can provide a new method for characterizing the particle size distribution of rock chips and evaluating rock breaking efficiency. When D(1) reaches its maximum value and α(0) reaches its minimum value, the corresponding SE is the lowest, and TBM is in an “optimal” rock breaking state. A new method can be provided for optimizing rock breaking state of TBM using multifractal parameters.

中文翻译:


基于多分形理论的岩屑粒度分布表征及TBM破岩效率评价:以案例研究为例



在 TBM(隧道掘进机)破岩过程中,岩屑的粒度分布受岩石岩性和 TBM 操作参数的影响,表现出典型的可变性和不均匀性。多重分形理论可以更全面地描述岩屑粒度分布的可变性和不均匀性。因此,本研究试图利用基于多分形理论的多分形参数定量分析岩屑的粒度分布。以嘉锦山TBM隧道项目为基础,提出了一种野外取样岩屑体积的计算方法,并进行了野外筛分试验。验证了砂岩和板岩岩屑的多重分形行为,分析了多重分形参数与TBM性能参数之间的相关性。结果表明:在两种岩性条件下,岩屑的粒度分布均满足多重分形理论的三个条件,证实了岩屑粒度分布的多重分形行为是客观的。进一步观察到,小尺寸岩屑层段的不均匀性高于大尺寸岩屑层段。此外,岩性学对岩屑粒度分布的异质性有显著影响。在两种岩性条件下,信息维数 D(1) 与粗度指数 (CI) 呈正相关,与比能 (SE) 呈负相关,而零阶 α(0) 的霍尔德指数与 CI 呈负相关,与 SE 呈正相关。 使用多重分形参数 D(1) 和 α(0) 可以为表征岩屑的粒度分布和评价岩石破碎效率提供一种新的方法。当 D(1) 达到最大值,α(0) 达到最小值时,相应的 SE 是最低的,并且 TBM 处于“最佳”破岩状态。该文可为利用多重分形参数优化TBM的破岩状态提供一种新方法。
更新日期:2025-01-21
down
wechat
bug