Engineering Mechanics

International Conference

Proceedings Vol. 30 (2024)


ENGINEERING MECHANICS 2024

30th INTERNATIONAL CONFERENCE
May 14 – 16, 2024, Milovy, Czech Republic
;
Editors: Vladimír Fuis and Petr Hájek

Copyright © 2024 Brno University of Technology, Institute of Solid Mechanics, Mechatronics and Biomechanics, Brno

ISBN 978-80-214-6235-9 (printed)
ISSN 1805-8248 (printed)
ISSN 1805-8256 (electronic)

list of papers scientific commitee

Non-linear probabilistic assessment of existing bridge considering deterioration
Slowik O., Šomodíková M., Novák D.
pages 266 - 269, full text

The integration of the non-linear finite element method with deterioration-based analysis represents a powerful approach for accurately simulating structural behaviors. However, conducting fully probabilistic analyses on large-scale models that incorporate numerous stochastic variables remains a significantly timeintensive task. As a result, structural designers and engineers frequently prefer semi-probabilistic methods, which significantly reduce the need for extensive non-linear computations. This paper concentrates on evaluating the reliability of an existing railway bridge constructed with cast-in steel beams. It employs an advanced numerical analysis through a non-linear finite element model, combined with established semiprobabilistic approaches, including the ECoV method and the newer eigen ECoV method. To accurately reflect the current state of the bridge's superstructure, the analysis models the carbonation of concrete and the ensuing corrosion of steel beams using analytical models that consider both the fundamental material properties and environmental factors.


back to list of papers

Text and facts may be copied and used freely, but credit should be given to these Proceedings.

All papers were reviewed by members of the scientific committee.


Publication Ethics - Ethical guidelines for publication
Webmaster contact: admin@it.cas.cz

imce   Powered by Imce 3.20  © 2023, Pavel Formánek, Institute of Thermomechanics AS CR, v.v.i. [generated: 0.0268s]