A Review of Trends in Corrosion-Resistant Structural Steels Research—From Theoretical Simulation to Data-Driven Directions
Abstract
:1. Introduction
2. Microscopic Model of Corrosion Mechanism of Materials
2.1. First-Principles
2.1.1. Material Surface Model
2.1.2. Internal Lattice Model
2.2. Molecular Dynamics
2.3. Monte Carlo Simulation at the Micro- and Nano-Scale
2.4. Cellular Automata
2.5. Finite Element Simulation and Boundary Element Simulation
2.6. Grey Correlation Analysis
3. Data Mining Methods for Corrosion Mechanism Research
3.1. Multiple Linear Regression Equation
3.2. Artificial Neural Networks
3.3. Bayesian Networks
3.4. Support Vector Machines and Support Vector Regression
3.5. Markov Chain
3.6. Monte Carlo Simulations at the Macroscopic Scale
3.7. Grey Forecasting
4. Corrosion Resistance Performance Control by Data-Driven
4.1. Advances in Micro-Alloying Control Technology for Corrosion-Resistant Structural Steels
4.2. Organization Control Technology
Reference | Test Methods | Machine Learning | |
---|---|---|---|
[137] | Sn/Sb | SEM, EDS, XRD, EBSD, XPS, SECM, Raman, Electrochemical test, SSRT, Periodic infiltration simulation acceleration experiment, Corrosion big data detectors, | RF |
[138] | Ni/Mn/Cu | SEM, XRD, XPS, TEM, SAED, EBSD, Electrochemical test, SSRT, SAED, Periodic infiltration simulation acceleration experiment, Corrosion big data detectors, Hydrogen filling experiment, | GBDT |
[143] | Nb/Cu/Sb | SEM, EBSD, TEM, XRD, XPS, Electrochemical test, Axial stress corrosion fatigue test | Work Function, PCC, SVC, SVR, LC, RF, MLP, KNN |
[149] | Cr/Sn/Mo/Grain size | SEM, EBSD, EDS, AFM, EDS, XRD, XPS, TEM, CLSM, Electrochemical test, SSRT, Periodic infiltration simulation acceleration experiment, Corrosion big data detectors, | PCC, Work Function |
[160] | Cr/Sn/Mo/M-A organization | SEM, EDAX, XRD, XPS, TEM, AFM, Periodic infiltration simulation acceleration experiment, Corrosion big data detectors, | ANN, SVM, RF, DNN |
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Xu, D.; Pei, Z.; Yang, X.; Li, Q.; Zhang, F.; Zhu, R.; Cheng, X.; Ma, L. A Review of Trends in Corrosion-Resistant Structural Steels Research—From Theoretical Simulation to Data-Driven Directions. Materials 2023, 16, 3396. https://doi.org/10.3390/ma16093396
Xu D, Pei Z, Yang X, Li Q, Zhang F, Zhu R, Cheng X, Ma L. A Review of Trends in Corrosion-Resistant Structural Steels Research—From Theoretical Simulation to Data-Driven Directions. Materials. 2023; 16(9):3396. https://doi.org/10.3390/ma16093396
Chicago/Turabian StyleXu, Di, Zibo Pei, Xiaojia Yang, Qing Li, Fan Zhang, Renzheng Zhu, Xuequn Cheng, and Lingwei Ma. 2023. "A Review of Trends in Corrosion-Resistant Structural Steels Research—From Theoretical Simulation to Data-Driven Directions" Materials 16, no. 9: 3396. https://doi.org/10.3390/ma16093396