Marine Corrosion of Steels
Mechanisms and AI-Driven Solutions
Marine Corrosion of Steels
Mechanisms and AI-Driven Solutions
This book investigates the corrosion mechanisms and resistance regulation of commonly used engineering steels, such as low-alloy steel rebar, high-manganese steel, low-density steel, titanium-steel composite plates, ductile iron, and high-performance corrosion-resistant offshore steel. It analyzes the corrosion behavior and key influencing factors of these materials. It further explores the regulation of corrosion resistance in steel materials and the development of novel corrosion-resistant steels using a new evaluation method. More importantly, it combines corrosion big data technology and artificial intelligence to assess the corrosion resistance of steel materials, providing crucial support for developing new corrosion-resistant materials. This book offers cutting-edge insights and practical solutions for enhancing the corrosion resistance of engineering steels, making it a valuable resource for materials scientists, researchers, and engineers.
Chapter 1. Stress corrosion behavior of high manganese steel in polluted marine atmospheric environments.
Chapter 1. Stress corrosion behavior of high manganese steel in polluted marine atmospheric environments.
Chapter 2.Corrosion fatigue behavior of high manganese steel in atmospheric environment.
Chapter 3.Effect of Microalloying Elements on The Corrosion Resistance of Low-Density Steel.
Chapter 4. Coupling of Multiple Corrosion in the Corrosion Process of Titanium-Steel Composites .
Chapter 5.Effects of Corrosion Inhibitors and Flow rate on the Corrosion Resistance of Ductile Iron Pipes.
Chapter 6. Application of Novel Big Data Intelligent Corrosion Assessment Approach in Rebar Corrosion Resistance Modulation.
Chapter 7.Application of Novel Big Data Intelligent Corrosion Assessment Approach in blast furnace gas pipe steel corrosion resistance Analysis.
Chapter 8. Application of Novel Big Data Intelligent Corrosion Assessment Approach in Corrosion-Resistant Low Alloy Steel Development.
Chapter 9. Application of Novel Big Data Intelligent Corrosion Assessment Approach in Corrosion Prediction and Data Mining Modeling.
Chapter 10. Perspectives on the Application of Artificial Intelligence in Investigating Corrosion Mechanisms of Steel and Designing Corrosion-Resistant Alloys.
Liu, Chao
Wang, Bingqin
Li, Xiaogang
Zhang, Shasha
Li, Zhong
| ISBN | 9783527355938 |
|---|---|
| Article number | 9783527355938 |
| Media type | Book |
| Edition number | 1. Auflage |
| Copyright year | 2026 |
| Publisher | Wiley-VCH |
| Length | 576 pages |
| Language | English |
