Detailed Information

Cited 22 time in webofscience Cited 26 time in scopus
Metadata Downloads

A Method for Estimating Time-Dependent Corrosion Depth of Carbon and Weathering Steel Using an Atmospheric Corrosion Monitor Sensoropen access

Authors
Ahn, Jin-HeeJeong, Young-SooKim, In-TaeJeon, Seok-HyeonPark, Chan-Hee
Issue Date
2-Mar-2019
Publisher
MDPI
Keywords
uncoated carbon steel; weathering steel; corrosion depth; ACM-type sensor; acceleration corrosion test
Citation
SENSORS, v.19, no.6
Indexed
SCIE
SCOPUS
Journal Title
SENSORS
Volume
19
Number
6
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/9352
DOI
10.3390/s19061416
ISSN
1424-8220
1424-3210
Abstract
In this study, a time-dependent corrosion depth estimation method using atmospheric corrosion monitor (ACM) sensor data to evaluate time-dependent corrosion behaviors is proposed. For the time-dependent corrosion depth estimation of uncoated carbon steel and weathering steel, acceleration corrosion tests were conducted in salt-spray corrosion environments and evaluated with a corrosion damage estimation method using ACM sensing data and corrosion loss data of the tested steel specimens. To estimate the time-dependent corrosion depth using corrosion current by an ACM sensor, the relationship between the mean corrosion depth calculated from the weight loss method and the corrosion current was evaluated. The mean corrosion depth was estimated by calculating the corrosion current and evaluating the relationship between the mean corrosion depth and corrosion current during the expected period. From the test and estimation results, the corrosion current demonstrated a good linear correlation with the mean corrosion depth of carbon steel and weathering. The calculated mean corrosion depth is nearly the same as that of the tested specimen, which can be well used to estimate corrosion rate for the uncoated carbon steel and weathering steel.
Files in This Item
There are no files associated with this item.
Appears in
Collections
건설환경공과대학 > 건설시스템공학과 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Ahn, Jin Hee photo

Ahn, Jin Hee
건설환경공과대학 (건설시스템공학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE