Skip to main content
main-content
Top

Hint

Swipe to navigate through the articles of this issue

14-05-2019 | Issue 7/2019 Open Access

Meccanica 7/2019

Robust optimization and uncertainty quantification in the nonlinear mechanics of an elevator brake system

Journal:
Meccanica > Issue 7/2019
Authors:
Piotr Wolszczak, Pawel Lonkwic, Americo Cunha Jr., Grzegorz Litak, Szymon Molski
Important notes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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 probabilistic approach is employed. In this stochastic formalism, the uncertain parameters are modeled as random variables, with distributions specified by the maximum entropy 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.
Literature
About this article

Other articles of this Issue 7/2019

Meccanica 7/2019 Go to the issue

Premium Partners

    Image Credits