A Novel Multiple Linear Regression Approach for Predicting the Unconfined Compressive Strength of Soil-Reference-Cited by-同舟云学术

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A Novel Multiple Linear Regression Approach for Predicting the Unconfined Compressive Strength of Soil

Published:2024-08 Issue:8 Volume:24 Page:
ISSN:1532-3641
Container-title:International Journal of Geomechanics
language:en
Short-container-title:Int. J. Geomech.

Author:

Mahmoudi Mohammadreza¹,Toufigh Vahab²^ORCID,Ghaemian Mohsen³

Affiliation:

1. Graduate Student, Dept. of Civil Engineering, Sharif Univ. of Technology, Tehran 1458889694, Iran.

2. Associate Professor, Dept. of Civil Engineering, Sharif Univ. of Technology, Tehran 1458889694, Iran (corresponding author). ORCID: .

3. Professor, Dept. of Civil Engineering, Sharif Univ. of Technology, Tehran 1458889694, Iran.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/IJGNAI.GMENG-9203

Reference61 articles.

1. The effect of data size of ANFIS and MLR models on prediction of unconfined compression strength of clayey soils;Akan R.;SN Appl. Sci.,2019

2. Mechanical response of saturated and unsaturated gravels of different sizes in drained triaxial testing

3. Potentials of rice husk ash for soil stabilization;Alhassan M.;Assumpt. Univ. J. Technol.,2008

4. Performance evaluation of structural properties for soil stabilised using rice husk ash

5. Experimental study on stabilization of a low plasticity clayey soil with cement/lime

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