Department of Civil Engineering, Gyeongnam National University of Science and Technology, 33 Dongjin-ro, Jinju, Gyeongnam 52725, Korea.
Seismic Research and Test Center, Pusan National University, Yansan, Gyeongnam 50612, Korea.
Sensors (Basel). 2019 Mar 22;19(6):1416. doi: 10.3390/s19061416.
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.
本研究提出了一种利用大气腐蚀监测（ACM）传感器数据评估时变腐蚀行为的时变腐蚀深度估计方法。针对未涂层碳钢和耐候钢的时变腐蚀深度估计，在盐雾腐蚀环境中进行了加速腐蚀试验，并利用 ACM 传感数据和试验钢试件的腐蚀损失数据评估了腐蚀损伤估计方法。为了利用 ACM 传感器的腐蚀电流来估计时变腐蚀深度，评估了从失重法计算得到的平均腐蚀深度与腐蚀电流之间的关系。通过计算腐蚀电流，并在预期时间内评估平均腐蚀深度与腐蚀电流之间的关系，来估计平均腐蚀深度。从试验和估计结果来看，腐蚀电流与碳钢和耐候钢的平均腐蚀深度呈良好的线性关系。计算得到的平均腐蚀深度与试验试件的平均腐蚀深度几乎相同，可用于很好地估计未涂层碳钢和耐候钢的腐蚀速率。
