Predicting soaked CBR value of fine grained soils using index and compaction characteristics

被引：0
|
作者：
Department of Civil Engineering, S.R.K. Institute of Technology, Enikepadu-521 108, Vijayawada, Andhra Pradesh, India [1 ]
不详 [2 ]
机构：
来源：
Jordan J. Civil Eng. | 2013年 / 3卷 / 354-360期
关键词：
Forecasting - Soil testing - Compaction;
D O I：
暂无
中图分类号：
TU4 [土力学、地基基础工程];
学科分类号：
081401 ;
摘要：
California Bearing Ratio (CBR) value is an indicator of subgrade soil strength and is used often for design of flexible pavements. The conventional soaked CBR testing method is expensive and time consuming. To overcome this situation, it is appreciable to predict CBR value of subgrade soil with simple properties of soils such as index properties which include grain size analysis (% Gravel, % Sand, % Fines), Liquid Limit (LL), Plastic Limit (PL), and compaction characteristics; namely Maximum Dry Density (MDD) and Optimum Moisture Content (OMC). The present study aims at developing regression-based models for predicting soaked CBR value for fine-grained subgrade soils in terms of gran size analysis, LL, PL, MDD and OMC. © 2013 JUST. All Rights Reserved.
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