Publication detail

Sensitivity analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion

NOVÁK, L. LEHKÝ, D. NOVÁK, D.

Original Title

Sensitivity analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion

Type

conference paper

Language

English

Original Abstract

This paper is focused on sensitivity analysis of engineering structures using surrogate models. Two different techniques for surrogate modeling are utilized in order to obtain various sensitivity measures of quantity of interest. The artificial neural networks and polynomial chaos expansion are used for efficient sensitivity analysis. Each of the techniques is superior in different areas of uncertainty quantification and thus each of them is used for estimating of different sensitivity measures in two engineering examples – simplified analytical function and complex non-linear finite element model of an existing concrete bridge. On the one hand, artificial neural network is utilized for estimation of sensitivity measures based on Monte Carlo simulation and on the other hand, polynomial chaos expansion is exploited for derivation of global sensitivity measures without additional simulations. It is shown that utilization of both methods leads to efficient and complex sensitivity analysis of engineering structures, and it could be recommended to use combination of both techniques in industrial applications.

Keywords

Artificial neural network; Polynomial chaos expansion; Sensitivity analysis; Uncertainty quantification

Authors

NOVÁK, L.; LEHKÝ, D.; NOVÁK, D.

Released

9. 3. 2023

Publisher

Springer Science and Business Media Deutschland GmbH

Location

Germany

ISBN

9783031255984

Book

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Edition number

13810

Pages from

1

Pages to

15

Pages count

15

BibTex

@inproceedings{BUT187080,
  author="Lukáš {Novák} and David {Lehký} and Drahomír {Novák}",
  title="Sensitivity analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion",
  booktitle="Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
  year="2023",
  number="13810",
  pages="1--15",
  publisher="Springer Science and Business Media Deutschland GmbH",
  address="Germany",
  doi="10.1007/978-3-031-25599-1\{_}14",
  isbn="9783031255984"
}