Shear Strength Enhancement Prediction of Sand–Fiber Mixtures Using Genetic Expression Programming-Reference-Cited by-同舟云学术

Shear Strength Enhancement Prediction of Sand–Fiber Mixtures Using Genetic Expression Programming

Published:2021-11 Issue:11 Volume:33 Page:04021323
ISSN:0899-1561
Container-title:Journal of Materials in Civil Engineering
language:en
Short-container-title:J. Mater. Civ. Eng.

Author:

Reza Abdi Mahmood¹,Rashed Hadi²^ORCID

Affiliation:

1. Associate Professor, Faculty of Civil Engineering, K.N. Toosi Univ. of Technology, P.O. Box 15875-4416, Tehran 19967-15433, Iran (corresponding author).

2. Postgraduate Student, Faculty of Civil Engineering, K.N. Toosi Univ. of Technology, P.O. Box 15875-4416, Tehran 19967-15433, Iran. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29MT.1943-5533.0003954

Reference59 articles.

1. Prediction of enhanced soil-anchored geogrid interactions in direct shear mode using gene expression programming;Abdi M. R.;Geotech. Geol. Eng.,2020

2. Strength enhancement of clay by encapsulating geogrids in thin layers of sand

3. Clay reinforcement using geogrid embedded in thin layers of sand;Abdi M. R.;IJCE,2009

4. Enhancement of soil–geogrid interactions in direct shear mode using attached elements as anchors

5. Performance evaluation of silty sand reinforced with fibres

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