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Stability Analysis of Slopes Prone to Circular Failures Using Logistic Regression

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Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards (CAJG 2018)

Part of the book series: Advances in Science, Technology & Innovation ((ASTI))

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Abstract

The analysis of stability of slopes is a classical problem for geotechnical engineers. In practice, much user friendly software is available for proper usage. Besides additional techniques capable of providing information useful for decision-making are necessary. In this research, extensive slope failure data collected by Sah et al. [1] were used for the stability analysis of slopes subjected to circular failures. For the purpose, 44 separate slope models were prepared for each slope case given in the original work. The Slide® program produced similar safety factors for the studied cases. Binary logistic regression analysis was applied in the study as an alternative technique to predict stability condition of slopes. The model predicted the stability condition of slopes with 90.9% accuracy.

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References

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Author information

Authors and Affiliations

  1. Mining Engineering Department, Aksaray University, 68100, Aksaray, Turkey

    Mehmet Sari

Authors
  1. Mehmet Sari
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Corresponding author

Correspondence to Mehmet Sari .

Editor information

Editors and Affiliations

  1. Sfax National School of Engineering, University of Sfax, Sfax, Tunisia

    Amjad Kallel

  2. Kütahya Dumlupınar University, Kütahya, Turkey

    Zeynal Abiddin Erguler

  3. China University of Mining and Technology, Xuzhou, Jiangsu, China

    Zhen-Dong Cui

  4. The University of Western Australia, Perth, WA, Australia

    ALi Karrech

  5. University of Adelaide, Adelaide, WA, Australia

    Murat Karakus

  6. Department of Materials Science and Engineering, The University of Arizona, Tucson, AZ, USA

    Pinnaduwa Kulatilake

  7. Edith Cowan University, Perth, WA, Australia

    Sanjay Kumar Shukla

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Sari, M. (2019). Stability Analysis of Slopes Prone to Circular Failures Using Logistic Regression. In: Kallel, A., et al. Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards. CAJG 2018. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-01665-4_82

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