GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles-Reference-Cited by-同舟云学术

GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles

Published:2019-09-10 Issue:2 Volume:37 Page:823-831
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Luo Zhenyan,Hasanipanah Mahdi,Bakhshandeh Amnieh Hassan,Brindhadevi Kathirvel,Tahir M. M.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modeling and Simulation,Software

Link

http://link.springer.com/content/pdf/10.1007/s00366-019-00858-2.pdf

Reference56 articles.

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2. Abu Kiefa M (1998) General regression neural networks for driven piles in cohesionless soils. J Geotech Geoenviron Eng 124(12):1177–1185

3. Meyerhof GG (1976) Bearing capacity and settlement of pile foundations. J Geotech Eng 102(3):196–228

4. Coyle HM, Castello RR (1981) New design correlations for piles in sand. J Geotech Eng 107(7):965–986

5. RP2A (1991) Recommended practice for planning, designing and constructing fixed offshore platfonns, 19th edn. American Petroleum Institute, Washington, DC

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