MATEC Web Conf.
Volume 174, 20183rd Scientific Conference Environmental Challenges in Civil Engineering (ECCE 2018)
|Number of page(s)||10|
|Section||Sustainable Civil Engineering, Impact on Environment, Durability and Protection of Buildings and Structures, Energy Consumption in Civil Engineering, Unconventional Energy Sources|
|Published online||26 June 2018|
Application of inverse methodology to estimation of chloride diffusion coefficient in concrete of prestressed precast slab
Department of Building Structures, Faculty of Civil Engineering - Structure, SUT, Gliwice, Poland
2 Institute of Thermal Technology, Faculty of Energy and Environmental Engineering, SUT, Poland
* Corresponding author: firstname.lastname@example.org
Work presents an investigation of chloride penetration of HC-500 prestressed concrete slabs made of precast concrete. This type of concrete slabs is widely used to construct floors in steel or reinforced concrete framing buildings. In such solutions ceiling can be considered as a simple-supported beam. Considered precast concrete was made of C50/C60 concrete with use of Portland cement CEM II 52.5 R. Investigated specimens were sampled directly from the upper part of prestressed concrete slabs. The process of chloride penetration in concrete can be described by the non-linear diffusion equation. In the paper Bayesian inverse technique was applied to estimate diffusion coefficient of chloride in concrete treated as a saturated porous material. Unknown distribution of estimated parameters was sampled with use of Metropolis-Hastings algorithm which allowed us to obtain unknown values and their error bounds. Obtained values of diffusion coefficient were confronted against values obtained with use of norms: NT BUILD 443 and ASTM C 1556 - 03 and against previously developed methodology based on the analytical solution of the diffusion equation.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.