[PDF][PDF] Prediction of California bearing ratio of soils using artificial neural network

S Bhatt, PK Jain, M Pradesh - Am. Int. J. Res. Sci. Technol. Eng …, 2014 - academia.edu
California Bearing Ratio (CBR) value is an important parameter in indexing the resistance
offered by soils in the sub grade layers or in the foundation of a structure. The laboratory and
field tests are extensively used for its determination to assess the strength of soils. An
attempt has been made in the present study to estimate the soaked CBR from the test result
values of sieve analysis, Atterberg limits, optimum moisture content (OMC) and maximum
dry density (MDD). Simple, multiple linear regression (SRA, MLR) and artificial neural …

Prediction of California bearing ratio of subgrade soils using artificial neural network principles

TV Nagaraju, R Gobinath, P Awoyera… - … and Intelligent Systems …, 2021 - Springer
In soil mechanics, prediction of soil properties is necessary due to the large-scale
construction activities and time-consuming testing. California Bearing Ratio (CBR) is one of
the soul parameters used as strength and stiffness indicator for subgrade soil. However, for
investigating soil subgrade in the field, there is a need of more soil samples to be tested; it
may be time-consuming and cumbersome task. Moreover, certain issues like lack of funding,
unavailability of skilled labour and poor laboratory infrastructure to handle large number of …
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