Application of an Artificial Neural Network for Modeling the Mechanical Behavior of Carbonate Soils-Reference-Cited by-同舟云学术

Application of an Artificial Neural Network for Modeling the Mechanical Behavior of Carbonate Soils

Published:2014-02 Issue:1 Volume:14 Page:142-150
ISSN:1532-3641
Container-title:International Journal of Geomechanics
language:en
Short-container-title:Int. J. Geomech.

Author:

Rashidian V.¹,Hassanlourad M.²

Affiliation:

1. Research Assistant, School of Civil and Construction Engineering, Oregon State Univ., Kearney Hall, 1491 SW Campus Way, Corvallis, OR 97331; formerly, M.S. Student, Dept. of Civil Engineering, Imam Khomeini International Univ., 3414916818 Qazvin, Iran (corresponding author).

2. Assistant Professor, Dept. of Civil Engineering, Imam Khomeini International Univ., 3414916818 Qazvin, Iran.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Soil Science

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29GM.1943-5622.0000299

Reference47 articles.

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2. Static and cyclic direct shear tests on carbonate sands;Al-Douri R. H.;J. ASTM Geotech Test.,1991

3. Application of ANNs and MVLRA for Estimation of Specific Charge in Small Tunnel

4. Angemeer J. Carlson E. and Klick J. H. (1973). “Techniques and results of offshore pile load testing in calcareous soil.” Proc. Int. Conf. on Offshore Technology Offshore Technology Conference Houston 677–699.

5. Angemeer J. and Mc-Neilan T. W. (1982). “Surface variability—The geotechnical properties behavior and performance of calcareous soils.” ASTM STP777 ASTM West Conshohocken PA 36–53.

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