Methods of Sensitivity Analyses and theirs Role in Engineering

DOI

10.2991/ismems-17.2018.24How to use a DOI?

Keywords

Sensitivity analysis, artificial neural networks, reliability analysis

Abstract

The paper describes selected efficient methods for sensitivity analysis of engineering problems: The non-parametric rank-order statistical correlation between the basic random variables and the structural response variable, neural network ensemble-based sensitivity analysis and sensitivity analysis in terms of coefficient of variation. All three methods were utilized and compared for practical engineering example.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Novak Drahom¡r
AU  - Lehky David
AU  - Cao Maosen
AU  - Pan Lixia
PY  - 2017/11
DA  - 2017/11
TI  - Methods of Sensitivity Analyses and theirs Role in Engineering
BT  - Proceedings of the International Symposium on Mechanical Engineering and Material Science (ISMEMS 2017)
PB  - Atlantis Press
SP  - 101
EP  - 103
SN  - 2352-5401
UR  - https://doi.org/10.2991/ismems-17.2018.24
DO  - 10.2991/ismems-17.2018.24
ID  - Drahom¡r2017/11
ER  -