Publication detail

Small-sample artificial neural network based response surface method for reliability analysis of concrete bridges

LEHKÝ, D. ŠOMODÍKOVÁ, M.

Original Title

Small-sample artificial neural network based response surface method for reliability analysis of concrete bridges

Type

conference paper

Language

English

Original Abstract

In the paper, an artificial neural network based response surface method (ANN-RSM) in combination with a small-sample simulation technique is proposed. ANN as powerful parallel computational system is used for approximation of limit state function (LSF). Thanks to its ability to generalize it is efficient to fit LSF even with small number of simulations compared to polynomial RSM. Efficiency is emphasized by utilization of stratified simulation for selection of ANN training set elements. Proposed method is tested using simple limit state function taken from literature as well as employed for reliability and load-bearing capacity assessment of concrete bridge within the framework of fully probabilistic analysis. Results are compared with those obtained by other reliability methods.

Keywords

Artificial neural network, Response surface method, Probability of failure, Reliability index.

Authors

LEHKÝ, D.; ŠOMODÍKOVÁ, M.

RIV year

2015

Released

1. 1. 2015

Publisher

Taylor & Francis Group

Location

London, UK

ISBN

978-1-138-00120-6

Book

Proceedings of the Fourth International Symposium on Life-Cycle Civil Engineering (IALCCE 2014) – Life-Cycle of Structural Systems: Design, Assessment, Maintenance and Management

Pages from

1903

Pages to

1909

Pages count

7

BibTex

@inproceedings{BUT112148,
  author="David {Lehký} and Martina {Sadílková Šomodíková}",
  title="Small-sample artificial neural network based response surface method for reliability analysis of concrete bridges",
  booktitle="Proceedings of the Fourth International Symposium on Life-Cycle Civil Engineering (IALCCE 2014) – Life-Cycle of Structural Systems: Design, Assessment, Maintenance and Management",
  year="2015",
  pages="1903--1909",
  publisher="Taylor & Francis Group",
  address="London, UK",
  isbn="978-1-138-00120-6"
}