Prediction of compaction parameters for fine-grained and coarse-grained soils: a review

被引:33
|
作者
Verma, Gaurav [1 ]
Kumar, Brind [1 ]
机构
[1] Indian Inst Technol BHU, Dept Civil Engn, Varanasi 221005, Uttar Pradesh, India
关键词
Index properties; engineering properties; fine-grained and coarse-grained soil; maximum dry density and optimum moisture content; statistical analysis; Artificial neural network; genetic programming; DRY UNIT WEIGHT; RELATIVE DENSITY; WATER-CONTENT; MODELS; BEHAVIOR; SIZE; CLAY;
D O I
10.1080/19386362.2019.1595301
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Maximum dry density and optimum moisture content achieved through laboratory compaction test are equally significant for field engineer as much as for laboratory investigators, to assess the suitability of borrow materials used in earthwork constructions of highway projects. The laboratory Proctor compaction test consumes more effort, time and huge quantity of soil. Moreover, if the index properties of borrow materials changes for small stretches of highway then preserving such vast quantity of soil in the laboratory and conducting Proctor compaction test becomes lengthy, laborious and expensive. Therefore, attempts were made formerly to predict compaction parameters through the index properties intending to reduce the time involved. This paper explores the existing models in the literature which seek out to improve the database. Based on the review, it is perceived that a simple model with an extended range of index properties, known either from bibliographies or project reports or database of the quarry, of fine-grained and coarse-grained soil could be developed.
引用
收藏
页码:970 / 977
页数:8
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