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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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 438-439; no. Civil Engineering, Architecture and Sustainable Infrastructure II; pp. 1181 - 1184
Main Authors Liu, Xia, Zhang, Zhan Rong, Sun, Li Mei
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 15.10.2013
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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.
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