Experimental Research on Frost Heave Characteristics of Gravel Soil and Multifactor Regression Prediction
Joint Authors
Long, Xiaoyong
Cen, Guoping
Cai, Liangcai
Chen, Yue
Source
Advances in Materials Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-12
Country of Publication
Egypt
No. of Pages
13
Abstract EN
Gravel soil is usually considered to be insensitive to frost heave.
However, many frost heave deformations of foundation in seasonal frozen region indicate that gravel soil may also produce frost heave under certain special conditions.
In order to gain a deep insight into the frost heave characteristics of gravel soil, a series of laboratory experiments on one-dimensional frost heave were conducted under the open- and closed-water replenishing condition using an improved experiment apparatus.
The influence of various factors including initial moisture content, clay content, compactness, overlying load, and water replenishing on frost-heaving ratio of gravel soil were analyzed.
And the basic frost heave characteristics including frost heave amount, frost heave speed, frozen depth, freezing speed, and moisture content distribution after freezing in a gravel soil sample were analyzed.
The corresponding mechanisms were also discussed.
Results showed that in the open water replenishing condition, there exists a linear relationship between initial moisture content, overlying load, and frost-heaving ratio and a quadratic polynomial relationship between clay content, compactness, and frost-heaving ratio.
Frost-heaving ratio in the open water replenishing condition can be found to increase over three times than that under the closed water replenishing condition.
Multifactor regression empirical formula was obtained by multiple regression analysis to predict the frost-heaving ratio of gravel soil under certain collocation of factors and levels under the closed water replenishing condition.
The significant effects on frost-heaving ratio were, in order, water replenishing > initial moisture content > clay content > compactness > overlying load.
American Psychological Association (APA)
Long, Xiaoyong& Cen, Guoping& Cai, Liangcai& Chen, Yue. 2018. Experimental Research on Frost Heave Characteristics of Gravel Soil and Multifactor Regression Prediction. Advances in Materials Science and Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1121138
Modern Language Association (MLA)
Long, Xiaoyong…[et al.]. Experimental Research on Frost Heave Characteristics of Gravel Soil and Multifactor Regression Prediction. Advances in Materials Science and Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1121138
American Medical Association (AMA)
Long, Xiaoyong& Cen, Guoping& Cai, Liangcai& Chen, Yue. Experimental Research on Frost Heave Characteristics of Gravel Soil and Multifactor Regression Prediction. Advances in Materials Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1121138
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121138