Zairyo-to-Kankyo
Online ISSN : 1881-9664
Print ISSN : 0917-0480
ISSN-L : 0917-0480
Volume 67 , Issue 7
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  • Shota Mizuba, Tomonori Tomiyama, Atsushi Miyata, Makoto Sano, Kiyoto M ...
    2018 Volume 67 Issue 7 Pages 287-291
    Published: July 15, 2018
    Released: January 30, 2019
    JOURNALS RESTRICTED ACCESS

    Various protective paint systems for steel road bridges have been exposed for 30 years with steel actual-size specimens located off the Suruga coast. From the obtained results, it became clear that the response of electrochemical measurement is correlated roughly with degraded level of the paint systems.

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  • Masataka Omoda, Daisuke Mizuno, Shinichi Miura, Nobuyuki Ishikawa
    2018 Volume 67 Issue 7 Pages 292-297
    Published: July 15, 2018
    Released: January 30, 2019
    JOURNALS RESTRICTED ACCESS

    It is important to understand the relation between changeable environmental condition and corrosion behavior of each weathering steel for maintenance management of weathering steel structures. For this subject, it is thought that corrosion monitoring by using the electrical resistance technique is the most suitable. In this study, corrosion behavior in ISO16539 Method B that simulates atmospheric corrosion environment and actual use environment was measured. The difference of corrosion behavior among weathering steels could be clearly measured by the unit μm both in laboratory test and exposure test. However, in only high salinity environment, the output corrosion loss of sensor was larger than actual corrosion loss by increasing the partial electrical resistance caused by large roughness due to locally corrosion on the sensor. And applicable salinity environment for this sensor was decided up to 1 mdd of airborne sea salt. Thus, by using the electrical resistance technique, the difference of corrosion behavior of each weathering steel can be measured, furthermore, it has possibility that environmental condition in which weathering steels show significant corrosion resistance might be clarified by comparing with environmental factors.

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