Publication detail

Inverse response surface method for prestressed concrete bridge design

LEHKÝ, D. ŠOMODÍKOVÁ, M. LIPOWCZAN, M. NOVÁK, D.

Original Title

Inverse response surface method for prestressed concrete bridge design

Type

conference paper

Language

English

Original Abstract

The paper describes application of the inverse response surface method when performing reliability-based design of selected bridge parameters. Employed adaptive procedure combines response surface method with an artificial neural network-based inverse reliability method. The first method serves for approximation of computationally demanding limit state function based on finite element method model. The second method provides design parameters for prescribed reliability indicators which correspond to analyzed limit states. Since the initial set of design parameters is not known in advance both methods must be efficiently combined to obtain sufficiently accurate results. The proposed method was employed for determination of selected uncertain material and prestress parameters of aging concrete bridge made of post-tensioned precast segments. Presented analysis is part of lifetime and reliability assessment of the aging bridge subjected to gradual deterioration which brings increasing level of uncertainty to its parameters.

Keywords

inverse analysis, response surfec method, artificial neural network, design parameters identification

Authors

LEHKÝ, D.; ŠOMODÍKOVÁ, M.; LIPOWCZAN, M.; NOVÁK, D.

Released

20. 4. 2021

Publisher

CRC Press/Balkema

Location

London

ISBN

9780367232788

Book

Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations

Edition

1

Pages from

179

Pages to

185

Pages count

7

BibTex

@inproceedings{BUT175704,
  author="David {Lehký} and Martina {Sadílková Šomodíková} and Martin {Lipowczan} and Drahomír {Novák}",
  title="Inverse response surface method for prestressed concrete bridge design",
  booktitle="Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations",
  year="2021",
  series="1",
  pages="179--185",
  publisher="CRC Press/Balkema",
  address="London",
  doi="10.1201/9780429279119-20",
  isbn="9780367232788"
}