Using submodels for a probabilistic nonlinear analysis of corroded RC-structures

Maciej Kwapisz; Marina Ralbovsky; Alois Vorwagner; Matthias Rebhan

doi:10.1201/9781003316404-82

Using submodels for a probabilistic nonlinear analysis of corroded RC-structures

Maciej Kwapisz^*, Marina Ralbovsky, Alois Vorwagner, Matthias Rebhan

^*Corresponding author for this work

Institute of Soil Mechanics, Foundation Engineering and Computational Geotechnics (2170)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Probabilistic analysis is best suited to cover a wide range of concrete and steel properties including corrosion effects and its influence on structural behaviour. If a reduction of the computational time to calculate sufficient samples is needed, a use of submodels might be very useful. The general idea is to compute very accurately only a relatively small section that is of interest to capture the nonlinear steel properties including any localized corrosion and its bond with the concrete. The rest of the structure is considered either with simple FE elements or with an analytical solution. The procedure was verified by large-scale tests on cantilever walls with artificially induced corrosion and with a conventional nonlinear FE analysis. The presented method combines
the advantages of a detailed and complex nonlinear FE analysis with the applicability and performance of an analytical solution or simple FE calculation. The advantages, accuracy and limitations of the method are broadly
discussed, and the field of application is described.

Original language	English
Title of host publication	Computational Modelling of Concrete and Concrete Structures
Editors	Günther Meschke, Bernhard Pichler, Jan G. Rots
Place of Publication	London
Publisher	CRC Taylor & Francis
Chapter	Safety assessment and design-oriented models
Pages	689-693
Number of pages	5
ISBN (Electronic)	9781003316404
DOIs	https://doi.org/10.1201/9781003316404-82
Publication status	Published - 26 May 2022
Event	EURO-C 2022 - Technische Universität Wien, Wien, Austria Duration: 23 May 2022 → 26 May 2022 https://www.euro-c.org/home

Conference

Conference	EURO-C 2022
Country/Territory	Austria
City	Wien
Period	23/05/22 → 26/05/22
Internet address	https://www.euro-c.org/home

Fields of Expertise

Sustainable Systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1201/9781003316404-82Licence: CC BY-ND 4.0

https://library.oapen.org/bitstream/handle/20.500.12657/54271/9781000644715.pdf?sequence=1&isAllowed=yLicence: CC BY-ND 4.0

SiBS
Rebhan, M.
1/01/16 → 31/12/18
Project: Research project

Cite this

Using submodels for a probabilistic nonlinear analysis of corroded RC-structures. / Kwapisz, Maciej; Ralbovsky, Marina; Vorwagner, Alois et al.
Computational Modelling of Concrete and Concrete Structures. ed. / Günther Meschke; Bernhard Pichler; Jan G. Rots. London: CRC Taylor & Francis, 2022. p. 689-693.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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abstract = "Probabilistic analysis is best suited to cover a wide range of concrete and steel properties including corrosion effects and its influence on structural behaviour. If a reduction of the computational time to calculate sufficient samples is needed, a use of submodels might be very useful. The general idea is to compute very accurately only a relatively small section that is of interest to capture the nonlinear steel properties including any localized corrosion and its bond with the concrete. The rest of the structure is considered either with simple FE elements or with an analytical solution. The procedure was verified by large-scale tests on cantilever walls with artificially induced corrosion and with a conventional nonlinear FE analysis. The presented method combinesthe advantages of a detailed and complex nonlinear FE analysis with the applicability and performance of an analytical solution or simple FE calculation. The advantages, accuracy and limitations of the method are broadlydiscussed, and the field of application is described.",

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AU - Kwapisz, Maciej

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N2 - Probabilistic analysis is best suited to cover a wide range of concrete and steel properties including corrosion effects and its influence on structural behaviour. If a reduction of the computational time to calculate sufficient samples is needed, a use of submodels might be very useful. The general idea is to compute very accurately only a relatively small section that is of interest to capture the nonlinear steel properties including any localized corrosion and its bond with the concrete. The rest of the structure is considered either with simple FE elements or with an analytical solution. The procedure was verified by large-scale tests on cantilever walls with artificially induced corrosion and with a conventional nonlinear FE analysis. The presented method combinesthe advantages of a detailed and complex nonlinear FE analysis with the applicability and performance of an analytical solution or simple FE calculation. The advantages, accuracy and limitations of the method are broadlydiscussed, and the field of application is described.

AB - Probabilistic analysis is best suited to cover a wide range of concrete and steel properties including corrosion effects and its influence on structural behaviour. If a reduction of the computational time to calculate sufficient samples is needed, a use of submodels might be very useful. The general idea is to compute very accurately only a relatively small section that is of interest to capture the nonlinear steel properties including any localized corrosion and its bond with the concrete. The rest of the structure is considered either with simple FE elements or with an analytical solution. The procedure was verified by large-scale tests on cantilever walls with artificially induced corrosion and with a conventional nonlinear FE analysis. The presented method combinesthe advantages of a detailed and complex nonlinear FE analysis with the applicability and performance of an analytical solution or simple FE calculation. The advantages, accuracy and limitations of the method are broadlydiscussed, and the field of application is described.

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DO - 10.1201/9781003316404-82

M3 - Conference paper

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A2 - Meschke, Günther

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T2 - EURO-C 2022

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ER -

Using submodels for a probabilistic nonlinear analysis of corroded RC-structures

Abstract

Conference

Fields of Expertise

UN SDGs

Access to Document

Fingerprint

Projects

SiBS

Cite this