Publication result detail

Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.

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

Original Title

Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.

English Title

Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.

Type

Paper in proceedings (conference paper)

Original Abstract

The paper describes a neural network ensemble-based parameter sensitivity analysis. The proposed method is applied to prestressed concrete bridge. Three dominant parameters were identified for limit state of decompression and six dominant parameters for limit state of crack initiation.

English abstract

The paper describes a neural network ensemble-based parameter sensitivity analysis. The proposed method is applied to prestressed concrete bridge. Three dominant parameters were identified for limit state of decompression and six dominant parameters for limit state of crack initiation.

Keywords

Reliability, sensitivity analysis, neural network-ensemble, prestressed concrere bridge

Key words in English

Reliability, sensitivity analysis, neural network-ensemble, prestressed concrere bridge

Authors

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

RIV year

2019

Released

14.05.2018

Location

Svratka, Česká republika

ISBN

978-80-86246-88-8

Book

Engineering Mechanics 2018

ISBN

1805-8248

Periodical

Engineering Mechanics

State

Czech Republic

Pages from

637

Pages to

640

Pages count

4

BibTex

@inproceedings{BUT156409,
  author="Lixia {Pan} and David {Lehký} and Drahomír {Novák} and Maosen {Cao}",
  title="Sensitivity analysis for parameters of prestressed concrete bridge using neural network ensemble.",
  booktitle="Engineering Mechanics 2018",
  year="2018",
  journal="Engineering Mechanics",
  pages="637--640",
  address="Svratka, Česká republika",
  isbn="978-80-86246-88-8",
  issn="1805-8248"
}