Home > Research > Publications & Outputs > Experimental and numerical investigation on the...
View graph of relations

Experimental and numerical investigation on the irregularity of carbonation depth of concrete under supercritical condition

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date2018
Host publication6th International Conference on Durability of Concrete Structures, ICDCS 2018
EditorsP. A. Muhammed Basheer
Place of PublicationLeeds, UK
PublisherWhittles Publishing Limited
Pages367-375
Number of pages9
ISBN (electronic)1849953945, 9781849953948
<mark>Original language</mark>English
Event6th International Conference on Durability of Concrete Structures, ICDCS 2018 - Leeds, United Kingdom
Duration: 18/07/201820/07/2018

Conference

Conference6th International Conference on Durability of Concrete Structures, ICDCS 2018
Country/TerritoryUnited Kingdom
CityLeeds
Period18/07/1820/07/18

Publication series

Name6th International Conference on Durability of Concrete Structures, ICDCS 2018

Conference

Conference6th International Conference on Durability of Concrete Structures, ICDCS 2018
Country/TerritoryUnited Kingdom
CityLeeds
Period18/07/1820/07/18

Abstract

The heterogeneity of a cement-based material results in a random spatial distribution of carbonation depth, which may significantly affect the mechanical properties and durability of the material. Currently, there is a lack of both experimental and numerical investigations aiming at a statistical understanding of this important phenomenon. This paper presents both experimental and numerical supercritical carbonation results of concrete blocks. The random fields of porosity and two-dimension random aggregate model of concrete were proposed for the simulation. The carbonation depths are measured and distributed along the carbonation boundary by the proposed rapid image processing technique, which are then statistically studied. The study has shown that considering the random distribution of coarse aggregates and using a random field of porosity with due consideration of spatial correlation and variance, the irregularity of carbonation depth can be realistically captured by the numerical model. Overall the methodology adopted in the paper can provide a foundation for future investigations on probability analysis of carbonation depth and other similar work based on multi-scale and-physics modelling.

Bibliographic note

Funding Information: The authors are grateful for the financial support Funding Information: from the National Key Research and Development Program of China (2016YFC0701400). Publisher Copyright: © ICDCS 2018. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.