An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil-Reference-Cited by-同舟云学术

An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil

Published:2021-04-01 Issue: Volume: Page:1-17
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Raja Muhammad Nouman Amjad¹²^ORCID,Shukla Sanjay Kumar¹³^ORCID,Khan Muhammad Umer Arif¹⁴^ORCID

Affiliation:

1. Geotechnical and Geoenvironmental Engineering Research Group, School of Engineering, Edith Cowan University, Perth, Australia

2. Civil Engineering Department, University of Management and Technology, Lahore, Pakistan

3. Department of Civil Engineering, Delhi Technological University, Delhi, India

4. Department of Civil Engineering, Mirpur University of Science and Technology, Mirpur, Azad Kashmir, Pakistan

Funder

Edith Cowan University

Higher Education Commision, Pakistan

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2021.1904237

Reference80 articles.

1. Performance of geosynthetic reinforced/stabilized paved roads built over soft soil under cyclic plate loads

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

3. Resilient Moduli Response of Recycled Construction and Demolition Materials in Pavement Subbase Applications

4. AS 1289.6.1.1, 2014. Methods of testing soils for engineering purposes Soil strength and consolidation tests – Determination of the California Bearing Ratio of a soil – Standard laboratory method for a remoulded specimen.

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