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Advanced Engineering Optimization Through Intelligent Techniques pp 173–181Cite as

Prediction of Factor of Safety For Slope Stability Using Advanced Artificial Intelligence Techniques

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 949))

Abstract

One of the major arising challenges in geotechnical engineering is to stabilize slopes for the sake of nature, economy, and valuable lives. In recent times, there has been a tremendous amount of developments in the field of computational geomechanics leading to the development of the slope stability analysis. The study explains the application of advanced artificial intelligence methods for finding the factor of safety of the slope. Multi-gene genetic programming (MGGP) and multivariate adaptive regression splines (MARS) are the two techniques used in predicting the factor of safety (FOS) for stability analysis of slopes. The present results are compared with Sah et al. [4] and the comparison seems to be reasonably good. The study finds that MGGP is more accurate than MARS in predicting the FOS.

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References

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Authors and Affiliations

  1. Department of Civil Engineering, National Institute of Technology Rourkela, Rourkela, India

    Abhiram Chebrolu, Suvendu Kumar Sasmal & Rabi Narayan Behera

  2. Department of Civil Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India

    Sarat Kumar Das

Authors
  1. Abhiram Chebrolu
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  2. Suvendu Kumar Sasmal
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  3. Rabi Narayan Behera
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  4. Sarat Kumar Das
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Corresponding author

Correspondence to Rabi Narayan Behera .

Editor information

Editors and Affiliations

  1. Sardar Vallabhbhai National Institute of Technology, Surat, Surat, Gujarat, India

    R. Venkata Rao

  2. Cracow University of Technology, Kraków, Poland

    Jan Taler

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Chebrolu, A., Sasmal, S.K., Behera, R.N., Das, S.K. (2020). Prediction of Factor of Safety For Slope Stability Using Advanced Artificial Intelligence Techniques. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. Advances in Intelligent Systems and Computing, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-8196-6_16

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