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Efficient macro-scale models for reinforcement corrosion modeling in reinforced concrete structures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F28399269%3A_____%2F25%3AN0000003" target="_blank" >RIV/28399269:_____/25:N0000003 - isvavai.cz</a>

  • Result on the web

    <a href="https://framcos.org/FraMCoS-12/Full-Papers/1133.pdf" target="_blank" >https://framcos.org/FraMCoS-12/Full-Papers/1133.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient macro-scale models for reinforcement corrosion modeling in reinforced concrete structures

  • Original language description

    Reinforcement corrosion due to chloride ingress or carbonation is an important deterioration mechanism, which may compromise the service life of reinforced concrete structures. This paper presents an efficient macro-scale model, aiming to capture the most important aspects of the deterioration of reinforced concrete structures due to reinforcement corrosion. A chemomechanical model covers the initiation and propagation of chlorides using a 1D time-dependent model. This model is combined with the nonlinear modeling of cracking, bond failure, and reinforcement yielding. These models are implemented in the ATENA software and have been previously proven to provide a reliable prediction of structural performance deterioration. An example of an application from the consultancy practice is presented in the paper.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    20102 - Construction engineering, Municipal and structural engineering

Result continuities

  • Project

    <a href="/en/project/TM04000012" target="_blank" >TM04000012: A concrete bridge health interpretation system based on mutual boost of big data and physical mechanism</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů