Abstract
Reliability analysis is used as a vital tool to predict the uncertainty and take right decisions. It is very important for engineers to predict the behaviour of soil and construction-materials (after construction) used in infrastructures. California Bearing Ratio (CBR) test is performed to measure the strength of soil, is often used as a design parameter of sub-grade for the design of flexible pavement. CBR test is a laborious test; therefore, it is vital to develop the models for quick assessment of CBR value. This study presents a review to determine the CBR value from reliability analysis which is quicker to estimate from their standard method of testing. In this study authors review predictive models using different sets of soil samples containing different index and engineering properties.
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Bairagi, H., Mutkule, S., Malunjkar, P., Jain, M. (2020). Prediction of California Bearing Ratio by Reliability Analysis: A Review. In: Gunjan, V., Singh, S., Duc-Tan, T., Rincon Aponte, G., Kumar, A. (eds) ICRRM 2019 – System Reliability, Quality Control, Safety, Maintenance and Management. ICRRM 2019. Springer, Singapore. https://doi.org/10.1007/978-981-13-8507-0_31
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