Publication detail

Application of Probabilistic Methods for the Assessment of Structural Load Bearing Capacity

DOLEŽEL, J. ŠOMODÍKOVÁ, M. LEHKÝ, D. NOVÁK, D.

Original Title

Application of Probabilistic Methods for the Assessment of Structural Load Bearing Capacity

Type

conference paper

Language

English

Original Abstract

The paper presents the application of methodology for the assessment of reliability and structural load bearing capacity using advanced methods of probabilistic FEM analysis in combination with mathematical modelling of degradation processes of concrete and reinforcement. The durability, serviceability and ultimate limit states are assessed. The authors deal with the validation of load bearing capacity of the bridge on the 3rd class road built in the 1st quarter of 20th century in the Czech Republic. Regarding the reliability requirements according to Standards and, considering the current state of the structure, the actual value of load bearing capacity is assessed. By reason of the time-consuming FEM analyses the stratified Latin Hypercube Sampling (LHS) method is used for generation of input random variables.

Keywords

Load bearing capacity, degradation, structural reliability, reliability index.

Authors

DOLEŽEL, J.; ŠOMODÍKOVÁ, M.; LEHKÝ, D.; NOVÁK, D.

RIV year

2015

Released

1. 6. 2015

Publisher

Trans Tech Publications, Switzerland

ISBN

978-3-03835-474-1

Book

Proceedings from 21st Czech Concrete Day 2014

Edition

Advanced Materials Research

Edition number

1106

Pages from

90

Pages to

93

Pages count

4

BibTex

@inproceedings{BUT120742,
  author="Jiří {Doležel} and Martina {Sadílková Šomodíková} and David {Lehký} and Drahomír {Novák}",
  title="Application of Probabilistic Methods for the Assessment of Structural Load Bearing Capacity",
  booktitle="Proceedings from 21st Czech Concrete Day 2014",
  year="2015",
  series="Advanced Materials Research",
  number="1106",
  pages="90--93",
  publisher="Trans Tech Publications, Switzerland",
  doi="10.4028/www.scientific.net/AMR.1106.90",
  isbn="978-3-03835-474-1"
}