2023 年 8 巻 p. 62-67
Extreme corrosion on steel sheet piles, which includes thickness loss and pitting corrosion, has been observed in service canal walls. This extreme corrosion decreases the durability of steel sheet piles and causes buckling phenomena. This study aims to detect strain concentration around pitting corrosion on a steel sheet pile sample in bending stress fields with acoustic emission (AE) and digital image correlation (DIC) methods. In experimental procedures, three types of test samples were used, which had different types of thickness loss and pitting corrosion, even thickness loss, and no thickness loss. A fourpoint bending test with AE and DIC methods was conducted for these samples. In analytical procedures, AE hits, AE energy, and AE source locations in each loading process are analyzed. The DIC method are used to detect strain distribution on surfaces of the test samples. As results, AE sources and maximum principal strain concentrate around the pitting corrosion. The timeseries of the strain concentration detected using the DIC method correspond to those of the AE hits. Thus, the AE and DIC methods can be used to detect the relationship between AE hits, AE sources, and strain concentration in the bending process.
