Prediction of California bearing ratio of subbase layer using multiple linear regression models-Reference-Cited by-同舟云学术

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Prediction of California bearing ratio of subbase layer using multiple linear regression models

Published:2013-01-21 Issue:1 Volume:14 Page:211-219
ISSN:1468-0629
Container-title:Road Materials and Pavement Design
language:en
Short-container-title:Road Materials and Pavement Design

Author:

Alawi Mohammad¹,Rajab Maher²

Affiliation:

1. Civil Engineering Department, College of Engineering & Islamic Architecture, Umm Al-Qura University, Abdiah, Makkah, Saudi Arabia

2. Computer Engineering Department, College of Computer & Information Systems, Umm Al-Qura University, Abdiah, Makkah, Saudi Arabia

Publisher

Informa UK Limited

Subject

Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/14680629.2012.757557

Reference10 articles.

1. Prediction of CBR Using Dynamic Cone Penetrometer

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3. Building MLR, ANN and FL models to predict the strength of problematic clayey soil stabilized with a combination of nano lime and nano pozzolan of natural sources for pavement construction;International Journal of Geo-Engineering;2024-02-03

4. Prediction of California bearing ratio using multi-layer perceptron model based on multiple meta-heuristic optimizers;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-01-19

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