Publication detail

A comparison of sensitivity analyses for selected prestressed concrete structures

LEHKÝ, D. PAN, L. NOVÁK, D. CAO, M. ŠOMODÍKOVÁ, M. SLOWIK, O.

Original Title

A comparison of sensitivity analyses for selected prestressed concrete structures

Type

journal article in Web of Science

Language

English

Original Abstract

Three sensitivity analysis methods are employed to achieve the optimum selection of the dominant random variables of selected concrete structures. The first of these methods uses the nonparametric rank‐order statistical correlation between the basic random input variables and the structural response output variable. The second is neural network ensemble‐based sensitivity analysis and the last of them is sensitivity analysis in terms of coefficient of variation. All of the methods were utilized and compared for two selected concrete structures: a prestressed concrete bridge made of MPD girders, and T‐shaped prestressed concrete roof girder. The obtained information was used to set up a stochastic model and response surfaces in an optimum manner and was employed in the subsequent determination of selected uncertain design parameters followed by load‐bearing capacity and reliability assessment.

Keywords

Artificial neural network, prestressed concrete, sensitivity analysis, structural reliability, surrogate modeling

Authors

LEHKÝ, D.; PAN, L.; NOVÁK, D.; CAO, M.; ŠOMODÍKOVÁ, M.; SLOWIK, O.

Released

1. 2. 2019

Publisher

ERNST & SOHN, ROTHERSTRASSE 21, BERLIN, DEUTSCHLAND 10245, GERMANY

Location

Berlin

ISBN

1464-4177

Periodical

Structural Concrete

Year of study

20

Number

1

State

Federal Republic of Germany

Pages from

38

Pages to

51

Pages count

14

URL

https://onlinelibrary.wiley.com/doi/abs/10.1002/suco.201700291

BibTex

@article{BUT149533,
  author="David {Lehký} and Lixia {Pan} and Drahomír {Novák} and Maosen {Cao} and Martina {Sadílková Šomodíková} and Ondřej {Slowik}",
  title="A comparison of sensitivity analyses for selected prestressed concrete structures",
  journal="Structural Concrete",
  year="2019",
  volume="20",
  number="1",
  pages="38--51",
  doi="10.1002/suco.201700291",
  issn="1464-4177",
  url="https://onlinelibrary.wiley.com/doi/abs/10.1002/suco.201700291"
}