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一个关于无粘性土孔隙比极限及其范围的数据集。

A dataset on void ratio limits and their range for cohesionless soils.

作者信息

Ilgac Makbule, Can Gizem, Cetin Kemal Onder

机构信息

Dept. of Civil Engineering, Middle East Technical University, Ankara, Turkey.

出版信息

Data Brief. 2019 Oct 25;27:104696. doi: 10.1016/j.dib.2019.104696. eCollection 2019 Dec.

Abstract

A database, which consists of maximum and minimum void ratio limits and their range, particle size, distribution and shape characteristics, is compiled. More specifically, minimum and maximum void ratios (e and e) along with their range (e-e), particle roundness (R) and spherecity (S), fines content (FC), coefficient of uniformity (C), mean grain size (D) data are compiled from natural cohesionless soils and reconstituted grained material (e.g.: rice, glass beads, mica) mixtures. The final dataset is composed of 636, mostly soil samples. Out of 636 samples, 496, 474 and 603 of them have e, e or e-e data, respectively. Similarly, for 593, 419, 171, 126 and 93 soils, D, C, R, S and FC data exists, respectively. Not for every sample, USCS based soil classification designation is available, hence for the missing ones, soil classification is performed based on mean particle diameter-based classification as suggested by ASTM D2487 - 17: Standard Practice for Classification of Soils for Engineering Purposes (Unified Soil Classification System) [1]. The dataset consists of 19 silts and clays, 527 sands (357 fine sands, 153 medium sands, 17 coarse sands) and 47 gravels (44 fine gravels, 3 coarse gravels). A spreadsheet summary of the dataset is provided. This dataset is later used for the development of probability-based void ratio predictive models.

摘要

编制了一个数据库,其中包括最大和最小孔隙比限值及其范围、粒径、分布和形状特征。更具体地说,从天然无粘性土和重塑粒料(如:大米、玻璃珠、云母)混合物中编制了最小和最大孔隙比(e和e)及其范围(e - e)、颗粒圆度(R)和球度(S)、细粒含量(FC)、均匀系数(C)、平均粒径(D)数据。最终数据集由636个样本组成,大部分为土壤样本。在636个样本中,分别有496、474和603个样本有e、e或e - e数据。同样,分别有593、419、171、126和93个土壤样本有D、C、R、S和FC数据。并非每个样本都有基于美国材料与试验协会(USCS)的土壤分类指定,因此对于缺失的样本,根据美国材料与试验协会D2487 - 17《工程用土分类标准实践(统一土壤分类系统)》[1]中建议的基于平均粒径的分类方法进行土壤分类。该数据集由19种粉土和黏土、527种砂土(357种细砂、153种中砂、17种粗砂)和47种砾石(44种细砾石、3种粗砾石)组成。提供了该数据集的电子表格摘要。此数据集随后用于基于概率的孔隙比预测模型的开发。

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