Characteristic Values of Carbonation Rate and Chloride Migration Coefficient in Aged Concrete of Existing Structures

A series of experimental and probabilistic investigations were conducted to determine characteristic values of durability properties, including carbonation rate and chloride migration coefficient, for actual structures. Five concrete bridges, in service for 43–45 years, were dismantled, and over 200 concrete cores were extracted from the slabs and girders. The carbonation rate and chloride migration coefficient of the core samples were measured using accelerated testing methods, and equations for calculating characteristic values from the raw data are proposed. Statistical simulation was performed with these equations, and the resulting data set was analyzed for discussion. The raw data of carbonation rate and chloride migration coefficient from the concrete core samples collected from existing structures exhibited a significant deviation compared with those from young concrete. Through probabilistic analysis using the data set from the statistical simulation, a protocol for obtaining more reliable and robust characteristic values of carbonation rate and chloride migration coefficient is proposed.

Authors

Institutions

Publication Details

Journal
Journal of Materials in Civil Engineering
Published
2025-07-18
DOI
https://doi.org/10.1061/jmcee7.mteng-20707
Primary Topic
Concrete Corrosion and Durability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characteristic Values of Carbonation Rate and Chloride Migration Coefficient in Aged Concrete of Existing Structures

Seung Hee Kwon, Hyeong-Ki Kim, Gun Kim, Guomin Ji et al.
Journal of Materials in Civil Engineering
Concrete Corrosion and Durability
article

Characteristic Values of Carbonation Rate and Chloride Migration Coefficient in Aged Concrete of Existing Structures

Seung Hee Kwon, Hyeong-Ki Kim, Gun Kim, Guomin Ji, Jung-Soo Lee, Seung-Jun Kwon
article en

Abstract

A series of experimental and probabilistic investigations were conducted to determine characteristic values of durability properties, including carbonation rate and chloride migration coefficient, for actual structures. Five concrete bridges, in service for 43–45 years, were dismantled, and over 200 concrete cores were extracted from the slabs and girders. The carbonation rate and chloride migration coefficient of the core samples were measured using accelerated testing methods, and equations for calculating characteristic values from the raw data are proposed. Statistical simulation was performed with these equations, and the resulting data set was analyzed for discussion. The raw data of carbonation rate and chloride migration coefficient from the concrete core samples collected from existing structures exhibited a significant deviation compared with those from young concrete. Through probabilistic analysis using the data set from the statistical simulation, a protocol for obtaining more reliable and robust characteristic values of carbonation rate and chloride migration coefficient is proposed.

Journal of Materials in Civil EngineeringVol. 37(10)
Hannam University (KR), Chosun University (KR), Nanyang Technological University (SG), Myongji University (KR)
Reduced inequalities
Openalex Percentile: Top 79%
Concrete Corrosion and Durability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Characteristic Values of Carbonation Rate and Chloride Migration Coefficient in Aged Concrete of Existing Structures — Seung Hee Kwon, Hyeong-Ki Kim, et al. · Journal of Materials in Civil Engineering (2025) | TGRS Research Map | TGRS