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International Journal of Civil Engineering

, Volume 17, Issue 1, pp 131–143 | Cite as

On the Global Sensitivity Analysis Methods in Geotechnical Engineering: A Comparative Study on a Rock Salt Energy Storage

  • Elham MahmoudiEmail author
  • Raoul Hölter
  • Rayna Georgieva
  • Markus König
  • Tom Schanz
Research Paper
First Online:
  • 94 Downloads

Abstract

The large number of input factors involved in a sophisticated geotechnical computational model is a challenge in the concept of probabilistic analysis. In the context of model calibration and validation, conducting a sensitivity analysis is substantial as a first step. Sensitivity analysis techniques can determine the key factors which govern the system responses. In this paper, three commonly used sensitivity analysis methods are implemented on a sophisticated geotechnical problem. The computational model of a compressed air energy storage, mined in a rock salt formation, includes many input parameters, each with large amount of uncertainties. Sensitivity measures of different variables involved in the mechanical response of the cavern are computed by different global sensitivity methods, namely, Sobol/Saltelli, Random Balance Design, and Elementary Effect method. Since performing sensitivity analysis requires a large number of model evaluations, the concept of surrogate modelling is utilised to decrease the computational burden. In the following, the accuracy levels of various surrogate techniques are compared. In addition, a comparative study on the applied sensitivity analysis methods shows that the applied sensitivity analysis techniques provide identical parameter importance rankings, although some may also give more information about the system behaviour.

Keywords

Sensitivity analysis Geotechnical engineering Variance-based methods Elementary Effect Sobol’ indices RBD 
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Notes

Acknowledgements

The Authors would like to gratefully acknowledge the support of the German Research Foundation (DFG) through the Collaborative Research Center SFB 837 (subproject C2).

Funding

German Research Foundation (DFG)-The Collaborative Research Center SFB 837 “Interaction models for mechanized tunneling”.

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Copyright information

© Iran University of Science and Technology 2018

Authors and Affiliations

  • Elham Mahmoudi
    • 1
    Email author
  • Raoul Hölter
    • 1
  • Rayna Georgieva
    • 2
  • Markus König
    • 1
  • Tom Schanz
    • 1
  1. 1.Department of Civil and Environmental EngineeringRuhr-Universität BochumBochumGermany
  2. 2.Department of Parallel AlgorithmsBulgarian Academy of SciencesSofiaBulgaria

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