Publication detail

A Comparison of Sensitivity Analyses of Prestressed Composite Bridge

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

Original Title

A Comparison of Sensitivity Analyses of Prestressed Composite Bridge

Type

conference paper

Language

English

Original Abstract

Three sensitivity analysis methods are employed for proper selection of dominant random variables of prestressed composite bridge. The first one uses the non-parametric rank-order statistical correlation between the basic random variables and the structural response variable. The second method is neural network ensemble-based sensitivity analysis and the last one is sensitivity analysis in terms of coefficient of variation. All three methods were utilized and compared for the prestressed concrete bridge made of MPD girders. Such an information was used for proper set up of stochastic model and response surfaces and subsequent determination of selected uncertain design parameters followed by load-bearing capacity and reliability assessment.

Keywords

Sensitivity analysis, Spearman rank order correlation, neural network ensemble, coefficient of variation, MPD girder

Authors

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

Released

6. 8. 2017

ISBN

978-3-903024-28-1

Book

12th International Conference on Structural Safety & Reliability (ICOSSAR 2017)

Pages from

583

Pages to

592

Pages count

10

BibTex

@inproceedings{BUT142570,
  author="David {Lehký} and Drahomír {Novák} and Martina {Sadílková Šomodíková} and Lixia {Pan} and Maosen {Cao}",
  title="A Comparison of Sensitivity Analyses of Prestressed Composite Bridge",
  booktitle="12th International Conference on Structural Safety & Reliability (ICOSSAR 2017)",
  year="2017",
  pages="583--592",
  isbn="978-3-903024-28-1"
}