Detail publikace

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

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

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Rok RIV

2015

Vydáno

1. 6. 2015

Nakladatel

Trans Tech Publications, Switzerland

ISBN

978-3-03835-474-1

Kniha

Proceedings from 21st Czech Concrete Day 2014

Edice

Advanced Materials Research

Číslo edice

1106

Strany od

90

Strany do

93

Strany počet

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"
}