Abstract: With the rapid development of the marine economy, marine microbiologically influenced corrosion (MIC) has garnered increasing attention. However, most studies have not analyzed the MIC process over continuous and extended periods, failing to provide a comprehensive understanding of MIC mechanisms at different stages. In this study, the corrosion behavior of EH36 steel caused by Halomonas titanicae in an aerobic enriched seawater over a 30-d incubation period was investigated driven by big data. The results revealed that the corrosion by H. titanicae against EH36 steel evolved dynamically over time. During the initial stages, the aerobic respiration of H. titanicae consumed significant amounts of oxygen, which suppressed the cathodic oxygen reduction process, thereby inhibiting corrosion compared to the abiotic conditions. As time progressed, the accumulation of corrosion products slowed the abiotic corrosion, while the biotic corrosion accelerated due to a shift from aerobic to anaerobic respiration by H. titanicae, utilizing Fe⁰ and nitrate as electron donors and acceptors, respectively. The big data results are consistent with the weight loss and electrochemical data, demonstrating the reliability of using big data monitoring techniques to characterize microbial corrosion processes.

Key words: Microbiologically influenced corrosion, EH36 steel, Halomonas titanicae, Big data, Aerobic environment