Statistics and Analysis of Influential Factors on Shear Strength of Reinforced Saline Soil with Wheat Straw and Lime

Article Preview

Abstract:

As one of complex body, the strength of reinforced lime-soil with wheat straw was influenced by many factors. In order to gain quantitative contributed proportion, traxial compression tests of reinforced lime-soil, which took some factors like reinforced length, reinforced ratio and consolidation in account, were carried out by orthogonal design, and then evaluated by methods of range analysis and principal component analysis. Results are as follows. (1) Contributed proportion of consolidation is the highest, while, successively, of reinforce ratio and of reinforced length. Consolidation has the positive contribution to cohesion which the correlation coefficient can be up to 0.81, however, reinforced ratio takes negative contribution and the correlation coefficient is (-0.71). (2) The optimal reinforced condition of wheat straw is 20 mm in length and 0.25% in ratio as to the sample diameter of 61.8mm. (3) Results of principal component analysis and range analysis are both corresponded with that of experiment. These two kinds of statistics analysis methods are suitable in the domain of reinforced soil.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 168-170)

Pages:

181-189

Citation:

Online since:

December 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Youzai XU: Foundation of Saline Soil, China Architecture and Building Press, Beijing 1993. (in Chinese).

Google Scholar

[2] Code for Investigation of Geotechnical Engineering (GB 50021-2001). China Architecture & Building Press, Beijing (2001) (in Chinese).

Google Scholar

[3] Min Li, Shouxi Chai and Li Wei: Journal of Engineering Geology, Vol. 17(4) (2009), pp.545-549. (in Chinese).

Google Scholar

[4] Frédérique Frouina, Annie Delouche, Hanna Raffoulb, Hervé Dieboldb, Eric Abergelb and Benoit Diebolda: European Journal of Echocardiography, Vol. 5(5) (2003), pp.335-346.

Google Scholar

[5] Rummel, R.J.: Applied factor analysis, Evanston, IL: Northwestern University Press, (1970).

Google Scholar

[6] I. T. Jolliffe: Principal Component Analysis, Springer New York, (2002).

Google Scholar

[7] Yoshihiro Yamanishi, Yutaka Tanaka: Computational Statistics Vol. 20(2) (2005), pp.311-326.

Google Scholar

[8] Li Wei, Shouxi Chai, Hongzhou Cai, et al: Geotechnical Investigation & Surveying, Vol. 1 (2009), pp.5-7. (in Chinese).

Google Scholar

[9] Test Methods of Soils for Highway Engineering (JTG E40-2007), Research Institute of Highway, 2007. (in Chinese).

Google Scholar

[10] Mandal JN, Murti MVR: Proceedings of the International Workshop on Geotextiles, 1989, pp.251-254.

Google Scholar

[11] Slobodan N. Mickovskia, Paul D. Halletta, M. Fraser Bransby D, et al: Published in Soil Sci Soc Am J, Vol. 73 (2009), pp.1-285.

Google Scholar

[12] J. Prabakara, R.S. Sridhar: Construction and Building Materials, Vol. 16 (2002), pp.123-131.

Google Scholar

[13] Sudhakar M. Rao, and P. Shivananda: Geotechnical and Geological Engineering, Vol. 23(3) (2005), pp.309-319.

Google Scholar