Empirical approach for bearing capacity prediction of geogrid-reinforced sand over vertically encased stone columns floating in soft clay using support vector regression-Reference-Cited by-同舟云学术

Empirical approach for bearing capacity prediction of geogrid-reinforced sand over vertically encased stone columns floating in soft clay using support vector regression

Published:2019-03-12 Issue:10 Volume:32 Page:6055-6074
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Dey A. K.,Debnath P.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-019-04092-1.pdf

Reference77 articles.

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3. Murugesan S, Rajagopal K (2006) Geosynthetic-encased stone columns: numerical evaluation. Geotext Geomembr 24(6):349–358. https://doi.org/10.1016/j.geotexmem.2006.05.001

4. Murugesan S, Rajagopal K (2007) Model tests on geosynthetics-encased stone column. Geosynth Int 14(6):346–354. https://doi.org/10.1680/gein.2007.14.6.346

5. Zhang Y, Li T, Wang Y (2011) Theoretical elastic solutions for foundations improved by geosynthetic-encased columns. Geosynth Int 18(1):12–20. https://doi.org/10.1680/gein.2011.18.1.12

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