JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI ›› 2020, Vol. 37 ›› Issue (8): 161-165.DOI: 10.11988/ckyyb.20200568

• 2020 ANNUAL CONFERENCE (ACADEMIC SEMINAR) OF SURVEY SPECIALIZEDCOMMITTEE OF CHINESE HYDRAULIC ENGINEERING SOCIETY • Previous Articles     Next Articles

Correlation Between Compactability and Particle Compositionof Fine-grained Soil

GENG Hong-bin   

  1. Department of Survey, Anhui Survey & Design Institute of Water Resources & Hydropower Co. , Ltd. ,Bengbu 233000, China
  • Received:2020-06-16 Online:2020-08-01 Published:2020-09-01

Abstract: The compactability of soil plays a very important role in water conservancy project. In order to study the correlation between fine-grained soil’s compactability and particle composition , according to eight water conservancy projects since 2017, we collected data of compaction test and grain size test. Most test samples are collected from a range of about 200 km between Yangtze river and Huaihe river in Anhui province. The correlation between maximum dry density, optimum water content of fine-grained soil and sand-silt-clay data was examined by simple linear regression and binary linear regression. A binary linear regression result was obtained by using clay-silt content as independent variable and maximum dry density and optimum water content as dependent variable while excluding the data of clay content larger than 37%. Results suggest that particle composition is the major factor affecting the compactability of fine-grained soil, while water and gas in soil also have some effects on the compactability at the same time. A good correlation was found between maximum dry density and optimum water content and soil composition while fine-grained soil content is in the range from 10% to 37%. This study will help us to understand the compactability of fine-grained soil meanwhile avoid poor accuracy and artificial factor during compaction test and grain size test.

Key words: fine-grained soil, compactability, particle composition, binary linear regression, correlation analysis, maximum dry density, optimum water content

CLC Number: