Marine Atmospheric Corrosion Behavior of Carbon Steel Based on Corrosion Big Data
The"Belt and Road"initiative and the aspiration to evolve into a"Maritime Powerhouse"have highlighted the challenges of marine atmospheric corrosion affecting coastal regions and key maritime infrastructure.This phenomenon presents a critical challenge for the global maritime sector,emphasizing the need for in-depth understanding and effective mitigation strategies to preserve the integrity and operational safety of maritime facilities,thereby preventing significant safety incidents and economic losses.This study focuses on Q235 carbon steel,a material extensively used in maritime constructions,by applying advanced corrosion big data technology.The research methodology incorporates cyclic immersion acceleration tests,enabling the collection of continuous real-time corrosion data.This approach is vital for a comprehensive analysis of the effects of environmental factors such as Cl-,HSO3-,and pH levels on the corrosion behavior of carbon steel in marine atmospheres.The findings of this study indicate a clear correlation between increased concentrations of Cl-and HSO3-or a decrease in pH levels and the acceleration of the corrosion process.The gathered data aligns with the observed physical corrosion morphology and rust layer analysis of the steel samples,demonstrating the robustness and reliability of the data-driven approach.This study highlights that at lower Cl-concentrations,the rust layer tends toward greater stability whereas higher concentrations result in decreased stability.With different HSO3-concentrations,the corrosion behavior varies:at 0.05％,corrosion proceeds at a steady low rate;at 0.1％,a protective rust layer forms,slowing the corrosion rate;and at 0.2％,the rate increases in the later stages,challenging the stability of the rust layer.In environments with pH values of 5 or 3,the overall trend is a decline in the corrosion rates,in contrast to a pH of 1,where the rate consistently increases.A significant aspect of this study is the integration of traditional corrosion research methodologies with modem big data analytics.This innovative approach represents a substantial advancement in corrosion research,combining the proven reliability of traditional methods with the extensive analytical capabilities of modem data science.The consistency of the big data findings with traditional coupon methods validates this approach,highlighting its effectiveness in providing deep and comprehensive insights into environmental corrosion processes.Furthermore,this research utilizes a range of advanced experimental techniques,such as scanning electron microscopy(SEM),energy dispersive spectroscopy(EDS),confocal laser scanning microscopy,and various electrochemical tests.These methods have been instrumental in characterizing the morphological and chemical properties of the rust layer,thereby enriching the overall findings of this study.This extensive study provides a detailed examination of marine atmospheric corrosion,contributing significantly to the field by offering new perspectives and robust methodologies.These contributions are crucial for effectively assessing and mitigating corrosion in maritime environments,aligning with international maritime strategies and infrastructure safety objectives.In summary,this study marks a paradigm shift in corrosion research,blending traditional experimental methods with the advanced analytical capabilities of big data.This integration opens new avenues for future investigations and innovations in the field,underscoring the importance of data-driven approaches in understanding and addressing complex environmental challenges.With its comprehensive analysis,innovative methodology,and significant findings,this research not only deepens the understanding of marine atmospheric corrosion but also establishes a solid foundation for future data-driven studies and solutions in maritime engineering and environmental protection.This study is a testament to the power of integrating traditional research methods with modem data analytics to address complex environmental issues,paving the way for further advancements in the field.Additionally,this study underscores the significance of the ongoing technological advancements in corrosion research.As environmental conditions continue to evolve,adapting and refining research methodologies to keep pace with them is becoming increasingly important.The use of big data and advanced analytical techniques in this study not only demonstrates a progressive approach to understanding marine atmospheric corrosion but also serves as a model for future studies in similar fields.This approach highlights the necessity of continuous innovation and adaptation in scientific research,particularly in areas with significant practical implications such as maritime infrastructure and environmental protection.Embracing these innovative methodologies ensures that research remains relevant,effective,and capable of addressing the complex challenges posed by a dynamically changing environment.
marine atmospheric corrosioncarbon steelcorrosion sensorcorrosion big data
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