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

Maciej Kwapisz; Marian Ralbovsky; Alois Vorwagner; Matthias Rebhan

doi:10.1201/9781003316404

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

Maciej Kwapisz (Vortragende:r)
, Marian Ralbovsky
, Alois Vorwagner
, Matthias Rebhan

Transportation Infrastructure Technologies

Graz University of Technology

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband

Abstract

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

Originalsprache	Englisch
Titel	Computational Modelling of Concrete and Concrete Structures
Seiten	689-693
Seitenumfang	5
DOIs	https://doi.org/10.1201/9781003316404
Publikationsstatus	Veröffentlicht - 2022
Veranstaltung	EURO-C - Dauer: 23 Mai 2022 → 26 Mai 2022

Konferenz

Konferenz	EURO-C
Zeitraum	23/05/22 → 26/05/22

Research Field

Reliable and Silent Transport Infrastructure

Schlagwörter

Damage detection
FE Simlations
probabilistic analysis

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10.1201/9781003316404Lizenz: Nicht angegeben

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title = "Using submodels for a probabilistic nonlinear analysis of corroded RC-structures",

abstract = "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",

keywords = "Damage detection, FE Simlations, probabilistic analysis, Damage detection, FE Simlations, probabilistic analysis",

author = "Maciej Kwapisz and Marian Ralbovsky and Alois Vorwagner and Matthias Rebhan",

year = "2022",

doi = "10.1201/9781003316404",

language = "English",

isbn = "978-1-032-32724-2",

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T1 - Using submodels for a probabilistic nonlinear analysis of corroded RC-structures

AU - Ralbovsky, Marian

AU - Vorwagner, Alois

AU - Rebhan, Matthias

A2 - Kwapisz, Maciej

PY - 2022

Y1 - 2022

N2 - 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

AB - 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

KW - Damage detection

KW - FE Simlations

KW - probabilistic analysis

KW - Damage detection

KW - FE Simlations

KW - probabilistic analysis

U2 - 10.1201/9781003316404

DO - 10.1201/9781003316404

M3 - Conference Proceedings with Oral Presentation

SN - 978-1-032-32724-2

SP - 689

EP - 693

BT - Computational Modelling of Concrete and Concrete Structures

T2 - EURO-C

Y2 - 23 May 2022 through 26 May 2022

ER -

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

Abstract

Konferenz

Research Field

Schlagwörter

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