Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment-Reference-Cited by-同舟云学术

Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment

Published:2017-01-09 Issue:8 Volume:30 Page:2459-2469
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Aljanabi Qasim A.,Chik Zamri,Allawi Mohammed Falah,El-Shafie Amr H.,Ahmed Ali N.,El-Shafie Ahmed

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2807-5/fulltext.html

Reference29 articles.

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2. Aboshi H, Ichimoto E, Enoki M, Harada K (1979) The compozer—a method to improve characteristics of soft clays by inclusion of large diameter sand columns. In: International conference on soil reinforcement: reinforced earth and other techniques, Paris, pp 211–216

3. Barksdale RD, Bachus RC (1983) Design and construction of stone columns, vol I, and Vol. II. FHWA/RD-83/026, Federal Highway Administration, Washington, DC

4. Barksdale RD, Takefumi T (1990) Design, construction and testing of sand compaction piles, symposium on deep foundation improvements: design. Construction and testing. ASTM Publications, Las Vegas

5. Lo SR, Zhang R, Mak J (2010) Geosynthetic-encased stone columns in soft clay: a numerical study. Geotext Geomembr 28(3):292–302. doi: 10.1016/j.geotexmem.2009.09.015

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