Simulation-based sensitivity analysis: Methods and software tools

  • Drahomír Novák ,
  • David Lehký,
  • Ondřej Slowik
  • a,b,c  Institute of Structural Mechanics, Faculty of Civil Engineering, Brno University of Technology, Veveří 95, Brno, 60200, Czech Republic
Cite as
Novák D., Lehký D., Slowik O. (2021). Simulation-based sensitivity analysis: Methods and software tools. Proceedings of the 33rd European Modeling & Simulation Symposium (EMSS 2021), pp. 158-164. DOI: https://doi.org/10.46354/i3m.2021.emss.022

Abstract

The topic of the paper is simulation-based sensitivity analysis with emphasize on the use of the small-sample Latin Hypercube Sampling simulation method. Three approaches are described in the paper: Spearman’s rank-order correlation, covariance-based sensitivity analysis and input perturbation-based sensitivity analysis. Software tools are briefly described, especially SEAN software as an effective sensitivity analysis environment developed to simplify sensitivity analysis of a user-defined numerical model. An example application is presented.

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