Detail publikace

Semi-probabilistic nonlinear assessment of post-tensioned concrete bridge made of KT-24 girders

ŠPLÍCHAL, B. LEHKÝ, D. DOLEŽEL, J.

Originální název

Semi-probabilistic nonlinear assessment of post-tensioned concrete bridge made of KT-24 girders

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper compares several methods for assessing the design resistance of an existing railway bridge made of KT-24 precast post-tensioned concrete girders. The determination of the load-bearing capacity of the structure is carried out by means of probabilistic nonlinear analysis using finite element method. Load bearing capacity is determined for the ultimate as well as serviceability limit states. A fully probabilistic approach is compared to selected code-recommended semi-probabilistic methods, which are able to greatly reduce the number of nonlinear calculations needed to estimate the design value of resistance. The results are compared and discussed with respect to accuracy and required computational time, which is a critical issue when performing a global nonlinear analysis of a complex structure.

Klíčová slova

Non-linear analysis; finite element method; semi-probabilistic methods; KT-24 girders

Autoři

ŠPLÍCHAL, B.; LEHKÝ, D.; DOLEŽEL, J.

Vydáno

5. 9. 2022

Nakladatel

CRC Press Taylor & Francis Group

Místo

Cape Town

ISBN

978-1-003-34844-3

Kniha

Current Perspectives and New Directions in mechanics, modelling and design of structural systems – Zingoni (ed.)

Strany od

1208

Strany do

1214

Strany počet

6

BibTex

@inproceedings{BUT179370,
  author="Bohumil {Šplíchal} and David {Lehký} and Jiří {Doležel}",
  title="Semi-probabilistic nonlinear assessment of post-tensioned concrete bridge made of KT-24 girders",
  booktitle="Current Perspectives and New Directions in mechanics, modelling and design of structural systems – Zingoni (ed.)",
  year="2022",
  pages="1208--1214",
  publisher="CRC Press Taylor & Francis Group",
  address="Cape Town",
  doi="10.1201/9781003348443-196",
  isbn="978-1-003-34844-3"
}