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DOI of the published article https://doi.org/10.1007/s11012-019-00992-7
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Robust optimization and uncertainty quantification in the nonlinear mechanics of an elevator brake system

##article.authors##

  • Piotr Wolszczak Lublin University of Technology
  • Pawel Lonkwic The State School of Higher Education of Chelm
  • Americo Cunha Jr Rio de Janeiro State University https://orcid.org/0000-0002-8342-0363
  • Grzegorz Litak Lublin University of Technology
  • Szymon Molski AGH University of Science and Technology

DOI:

https://doi.org/10.31224/3928

Keywords:

Elevator brake system, Nonlinear mechanics, Nonlinear optimization, Uncertainty quantification, Parametric probabilistic approach

Abstract

This paper deals with nonlinear mechanics of an elevator brake system subjected to uncertainties. A deterministic model that relates the braking force with uncertain parameters is deduced from mechanical equilibrium conditions. In order to take into account parameters variabilities, a parametric probabilis-tic approach is employed. In this stochastic formalism, the uncertain parameters are modeled as random variables , with distributions specified by the maximum en-tropy principle. The uncertainties are propagated by the Monte Carlo method, which provides a detailed statistical characterization of the response. This work still considers the optimum design of the brake system, formulating and solving nonlinear optimization problems, with and without the uncertainties effects.  

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Posted

2024-09-16

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Copyright (c) 2024 Piotr Wolszczak, Pawel Lonkwic, Americo Cunha Jr, Grzegorz Litak, Szymon Molski

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This work is licensed under a Creative Commons Attribution 4.0 International License.