Numerical approximation of time-dependent chloride diffusion model parameters via probabilistic Monte Carlo method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F20%3A10245975" target="_blank" >RIV/61989100:27120/20:10245975 - isvavai.cz</a>
Result on the web
<a href="https://aip.scitation.org/doi/abs/10.1063/5.0026514" target="_blank" >https://aip.scitation.org/doi/abs/10.1063/5.0026514</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/5.0026514" target="_blank" >10.1063/5.0026514</a>
Alternative languages
Result language
angličtina
Original language name
Numerical approximation of time-dependent chloride diffusion model parameters via probabilistic Monte Carlo method
Original language description
Correct evaluation of laboratory test data is an integral part of input data preparation for numerical models. In the case of the chloride diffusion model, the most important parameter is the diffusion coefficient which can be obtained, for example, from the measured chloride profile. Measured concentrations need to be approximated by curve most appropriate to the values; which can be done for instance by least-square method. Most of the currently used approximation methods do not consider the time dependence of the diffusion coefficient; thus, the results of the numerical simulation of chloride ingress can be inaccurate. The presented approximation based on stochastic Monte Carlo method includes the effect of concrete maturation. The diffusion coefficient, aging factor and theoretical chloride concentration on the surface can be determined. The selected procedure is demonstrated on measured data from laboratory tests. (C) 2020 American Institute of Physics Inc.. All rights reserved.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering
Result continuities
Project
<a href="/en/project/GA18-07949S" target="_blank" >GA18-07949S: Probabilistic Modeling of the Durability of Reinforced Concrete Structures Considering Synergic Effect of Carbonation, Chlorides and Mechanical Action</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AIP Conference Proceedings. Volume 2293
ISBN
978-0-7354-4025-8
ISSN
0094-243X
e-ISSN
1551-7616
Number of pages
4
Pages from-to
—
Publisher name
American Institute of Physics
Place of publication
Melville
Event location
Rhodos
Event date
Sep 23, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—