Correlation Analysis of Physical and Mechanical Soil Parameters in Coastal Plain Region
According to the tested physical and mechanical soil parameters of the Coastal Railway in West Guangdong along the broad coastal plain region, the correlation relations between compression modulus, compression coefficient and void ratio, moisture content, density, standard penetration number are ana...
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Published in | Applied Mechanics and Materials Vol. 438-439; no. Civil Engineering, Architecture and Sustainable Infrastructure II; pp. 1181 - 1184 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
15.10.2013
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Subjects | |
Online Access | Get full text |
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Summary: | According to the tested physical and mechanical soil parameters of the Coastal Railway in West Guangdong along the broad coastal plain region, the correlation relations between compression modulus, compression coefficient and void ratio, moisture content, density, standard penetration number are analyzed by the linear regression method. The results show that the compression modulus increases with the increase of water content and void ratio, with correlation coefficients being 0.6985 and 0.8147, respectively; the compression modulus decreases with the increase of density and standard penetration number, with correlation coefficients being 0.7827 and 0.4934, respectively; the compression coefficient decreases with the increase of water content and void ratio, with correlation coefficients being 0.9131 and 0.9412, respectively; the compression coefficient decreases with the increase of density and standard penetration number, with correlation coefficients being 0.8187 and 0.4985, respectively. The parameters which are hardly obtained from the test directly can be easily evaluated by using these formulas. |
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Bibliography: | Selected, peer reviewed papers from the 2nd International Conference on Civil Engineering, Architecture and Sustainable Infrastructure (ICCEASI 2013), July 13-15, 2013, Zhengzhou, China ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISBN: | 9783037858820 3037858826 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.438-439.1181 |