Application of Machine-Learning Algorithms for Predicting California Bearing Ratio of Soil-Reference-Cited by-同舟云学术

Application of Machine-Learning Algorithms for Predicting California Bearing Ratio of Soil

Author:

Bherde Vaishnavi¹,Kudlur Mallikarjunappa Likhith²,Baadiga Ramu³,Balunaini Umashankar⁴

Affiliation:

1. Doctoral Scholar, Dept. of Civil Engineering, Indian Institute of Technology Hyderabad, Sangareddy 502284, India.

2. Postgraduate Scholar, Dept. of Civil Engineering, Indian Institute of Technology Hyderabad, Sangareddy 502284, India.

3. Postdoctoral Fellow, Dept. of Civil Engineering, Indian Institute of Technology Hyderabad, Sangareddy 502284, India.

4. Professor, Dept. of Civil Engineering, Indian Institute of Technology Hyderabad, Sangareddy 502284, India (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

Reference42 articles.

1. AASHTO. 1993. AASHTO guide for design of pavement structures. Washington, DC: AASHTO.

2. Regression analysis of index properties of soil as strength determinant for California bearing ratio (CBR);Abdella D.;GSJ,2017

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