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International Conference on Reliability, Risk Maintenance and Engineering Management

ICRRM 2019: ICRRM 2019 – System Reliability, Quality Control, Safety, Maintenance and Management pp 206–212Cite as

Prediction of California Bearing Ratio by Reliability Analysis: A Review

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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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Authors and Affiliations

  1. Department of Civil Engineering, GHRIET, Pune, 412207, India

    Harshita Bairagi, Shreyas Mutkule, Pranali Malunjkar & Madhur Jain

Authors
  1. Harshita Bairagi
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  2. Shreyas Mutkule
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  3. Pranali Malunjkar
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  4. Madhur Jain
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Corresponding author

Correspondence to Harshita Bairagi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, Telangana, India

    Vinit Kumar Gunjan

  2. MMM University of Technology, Gorakhpur, Uttar Pradesh, India

    Sri Niwas Singh

  3. Electronics and Telecommunication Faculty, University of Engineering and Technology (UET), Vietnam National University, Hanoi, Vietnam

    Tran Duc-Tan

  4. Department of Computing, University Cooperativa de Colombia, Neiva, Colombia

    Gloria Jeanette Rincon Aponte

  5. BioAxis DNA Research Centre Pvt Ltd, Hyderabad, Telangana, India

    Amit Kumar

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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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  • DOI: https://doi.org/10.1007/978-981-13-8507-0_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-8506-3

  • Online ISBN: 978-981-13-8507-0

  • eBook Packages: EngineeringEngineering (R0)

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