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作 者:耿宏斌 GENG Hong-bin(Department of Survey, Anhui Survey & Design Institute of Water Resources & Hydropower Co., Ltd.,Bengbu 233000, China)
机构地区:[1]安徽省水利水电勘测设计研究总院有限公司勘测分院,安徽蚌埠233000
出 处:《长江科学院院报》2020年第8期161-165,共5页Journal of Changjiang River Scientific Research Institute
摘 要:土的压实特性是水利工程中非常令人关注的特性之一。为研究细粒土压实特性与颗粒组成的相关性,结合2017年以来实施的8个水利工程勘察项目,在试验要求统一的前提下,收集了123组击实试验、颗粒分析试验数据,试验样品主要集中在安徽省内长江与淮河之间的200余公里范围内。对细粒土的最大干密度、最优含水率与黏粒、粉粒和砂粒数据之间的相关性开展了一元和二元线性回归分析。在剔除了黏粒含量>37%的7组数据后,得到了以黏粒、粉粒含量为自变量,以最大干密度、最优含水率为因变量的二元线性回归分析结果。研究结果表明:影响细粒土压实特性的主要因素是颗粒组成,但土中的水和气等因素也对压实特性产生一定影响;当细粒土黏粒含量在10%~37%时,最大干密度、最优含水率与颗粒组成有较好的相关性;目前工程中常用的击实试验和颗粒分析试验方法存在精度较差、人为因素影响大等缺陷。研究成果可为进一步明确细粒土压实特性提供参考。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.
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