考虑历史作用的复合地层条件下盾构掘进速度预测的深度学习模型
收藏国家冰川冻土沙漠科学数据中心2023-07-08 更新2024-02-29 收录
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https://www.ncdc.ac.cn/portal/metadata/35d689ce-86a8-4961-8a5e-dc754d1a8bb2
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本数据集包括试验所用物质的物理性质参数,包括重度、泊松比、粘聚力、摩擦角、变形模量等参数。本数据集里包含的试验所用物质的物理性质参数,通过试验设备测量得到。数据集内的文件夹包含一个excel表格。该表格型数据包括砂、砾岩、泥岩的各项物理性质参数,重度、泊松比、粘聚力、摩擦角、变形模量...
This dataset encompasses the physical property parameters of test materials, including unit weight, Poisson's ratio, cohesion, angle of internal friction, deformation modulus and other relevant parameters. The physical property parameters of the test materials included in this dataset were measured via test equipment. A folder within this dataset contains an Excel spreadsheet. This tabular data includes various physical property parameters for sand, conglomerate and mudstone, such as unit weight, Poisson's ratio, cohesion, angle of internal friction, deformation modulus...
创建时间:
2023-07-08
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