Publication detail

Methods of Sensitivity Analyses and theirs Role in Engineering

NOVÁK, D. LEHKÝ, D. CAO, M. PAN, L.

Original Title

Methods of Sensitivity Analyses and theirs Role in Engineering

English Title

Methods of Sensitivity Analyses and theirs Role in Engineering

Type

conference paper

Language

en

Original 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 im terms of coefficient of variation. All three methods were utilized and compared for practical engineering example.

English 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 im terms of coefficient of variation. All three methods were utilized and compared for practical engineering example.

Keywords

Sensitivity analysis, artificial neural networks, reliability analysis

Released

15.05.2018

Location

Hanghzou, China

Pages from

107

Pages to

103

Pages count

3

BibTex


@inproceedings{BUT146065,
  author="Drahomír {Novák} and David {Lehký} and Maosen {Cao} and Lixia {Pan}",
  title="Methods of Sensitivity Analyses and theirs Role in Engineering",
  annote="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 im terms of coefficient of variation. All three methods were utilized and compared for practical engineering example.",
  booktitle="2nd International Symposium on Mechanical Engineering and Material Science",
  chapter="146065",
  doi="10.2991/ismems-17.2018.24",
  howpublished="online",
  number="1",
  year="2018",
  month="may",
  pages="107--103",
  type="conference paper"
}