4.6 Article

The Construction of Equivalent Particle Element Models for Conditioned Sandy Pebble

期刊

APPLIED SCIENCES-BASEL
卷 9, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/app9061137

关键词

EPB shield machine; conditioned sandy pebble; particle element model; parameters calibration

资金

  1. National Natural Science Foundation of China [41672360]
  2. Science and Technology Commission of Shanghai Municipality [17DZ1203800]
  3. Shanghai Shentong Metro Group Co., Ltd. [17DZ1203804]

向作者/读者索取更多资源

When a shield tunneling machine based on earth pressure balance (EPB) bores through the sandy pebble stratum, the conditioned sandy pebble inside the soil cabin of shield machine is an aggregation of numerous granules with pebble grains as skeleton. It is essential to construct a reasonable particle element model of the conditioned sandy pebble before carrying out discrete element simulation of the soil cabin system. Sandy pebble belongs to a kind of frictional material, the friction behavior of which is highly sensitive to the angularity of the grains. In order to take the shape effect into account, two particle element modelssingle sphere with rolling resistance and cluster of particleswere attempted in this paper. The undetermined contact parameters in two models were calibrated by virtue of least squares support vector regression machine (LS-SVR). With the purpose of making both the flow behavior and mechanical properties of the modeled soil consistent with reality, the calibration targets the result of laboratory test of slump test and large-scale triaxial test as goals. The presented comparative analysis indicates that the two established particle models both can well describe the strength property and fluidity of the actual soil due to properly calibrated parameters. So, the rolling resistance and cluster models are two effective ways to incorporate the shape effect. Besides, because of the angularity of the nonspherical grains, there exists strong interlocking between clusters. So, in the cluster model, relatively smaller rolling friction coefficient and surface energy are required. It is also concluded that the single sphere model is more computationally efficient than the cluster model.

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