TY  - Data
T1  - Depth learning model for prediction of shield tunneling speed in composite strata considering historical effects
A1  - None
DO  - 10.12072/ncdc.nieer.db2777.2023
PY  - 2023
DA  - 2023-04-27
PB  - National Cryosphere Desert Data Center
AB  - <pre><code> This data set includes physical property parameters of materials used in the test, including weight, Poisson's ratio, cohesion, friction angle, deformation modulus and other parameters. The physical property parameters of the substances used in the test included in this data set are measured by the test equipment. The folder in the dataset contains an excel table. The tabular data includes physical property parameters of sand, conglomerate and mudstone, gravity, Poisson's ratio, cohesion, friction angle, deformation modulus, etc. The data volume is 10KB.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/35d689ce-86a8-4961-8a5e-dc754d1a8bb2
ER  -