journal article·2026-01

Corrosion behavior of 650 MPa high strength low alloy steel in industrial polluted environments containing different concentrations of Cl−

Lianjun Hao, Xiaokun Cai, Tianqi Chen, Chenyu Zhang, Chao Liu, Xuequn Cheng, Xiaogang Li

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Abstract

This study utilizes wet/dry cyclic corrosion testing combined with corrosion big data technology to investigate the mechanism by which chloride ions (Cl−) influence the corrosion behavior of 650 MPa high-strength low-alloy (HSLA) steel in industrially polluted environments. The corrosion process of 650 MPa HSLA steel occurred in two distinct stages: an initial corrosion stage and a stable corrosion stage. During the initial phase, the weight loss rate increased rapidly owing to the instability of the rust layer. Notably, this study demonstrated that 650 MPa HSLA steel exhibited superior corrosion resistance in Cl-containing environments. The formation of a corrosion-product film eventually reduced the weight-loss rate. However, the intrusion of Cl−at increasing concentrations gradually destabilized the α/γ* phases of the rust layer, leading to a looser structure and lower polarization resistance (Rp). The application of corrosion big data technology in this study facilitated the validation and analysis of the experimental results, offering new insights into the corrosion mechanisms of HSLA steel in chloride-rich environments.
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Research context

OpenAlex topics: Hydrogen embrittlement and corrosion behaviors in metals · Corrosion Behavior and Inhibition · Concrete Corrosion and Durability

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (67)

Show source-provided references
1. M.S. Khan, X.B. Shi, S.F. Yuan, et al., Study on microbiologically influenced corrosion of HSLA-65 steel, J. Mater. Res. Technol., 32(2024), p. 2244.10.1016/j.jmrt.2024.08.064 ↗
2. R.C. Chen, L.Y. Chen, Z.G. Wang, R.G. Guan, and H.J. Kang, Heterogeneous nucleation of carbides attached to Y2O3 in Y-modified H13 steel, Mater. Charact., 200(2023), art. No. 112891.10.1016/j.matchar.2023.112891 ↗
3. X.P. Guo, M. Tan, T. Li, et al., Formation mechanisms and three-dimensional characterization of composite inclusion of MnS–Al2O3 in high speed wheel steel, Mater. Charact., 197(2023), art. No. 112669.10.1016/j.matchar.2023.112669 ↗
4. S.G. Lee, B. Kim, S.S. Sohn, W.G. Kim, K.K. Um, and S. Lee, Effects of local-brittle-zone (LBZ) microstructures on crack initiation and propagation in three Mo-added high-strength low-alloy (HSLA) steels, Mater. Sci. Eng. A, 760(2019), p. 125.10.1016/j.msea.2019.05.120 ↗
5. X. Luo, X.H. Chen, T. Wang, S.W. Pan, and Z.D. Wang, Effect of morphologies of martensite–austenite constituents on impact toughness in intercritically reheated coarse-grained heat-affected zone of HSLA steel, Mater. Sci. Eng. A, 710(2018), p. 192.10.1016/j.msea.2017.10.079 ↗
6. W.Z. Yan, X. Luo, G. Xu, H.H. Wang, Z.D. Wang, and X.H. Chen, Significant improvement in CGHAZ toughness of HSLA steel via welding with trailing mechanical treatment, Mater. Sci. Eng. A, 837(2022), art. No. 142725.10.1016/j.msea.2022.142725 ↗
7. W. Zhong, J.J. Hu, P. Shen, C.Y. Wang, and Q.Y. Lius, Experimental investigation between rolling contact fatigue and wear of high-speed and heavy-haul railway and selection of rail material, Wear, 271(2011), No. 9–10, p. 2485.10.1016/j.wear.2010.12.053 ↗
8. D.F. Cannon, K.O. Edel, S.L. Grassie, and K. Sawley, Rail defects: An overview, Fatigue Fract. Eng. Mater. Struct., 26(2003), No. 10, p. 865.10.1046/j.1460-2695.2003.00693.x ↗
9. R. Bayuaji, M. Sigit Darmawan, N.A. Husin, R.B. Anugraha, A. Budipriyanto, and M.G. Stewart, Corrosion damage assessment of a reinforced concrete canal structure of power plant after 20years of exposure in a marine environment: A case study, Eng. Fail. Anal., 84(2018), p. 287.10.1016/j.engfailanal.2017.11.014 ↗
10. H. Shabani, N. Goudarzi, and M. Shabani, Failure analysis of a natural gas pipeline, Eng. Fail. Anal., 84(2018), p. 167.10.1016/j.engfailanal.2017.11.003 ↗
11. J.V. Sharp, J. Billingham, and M.J. Robinson, The risk management of high-strength steels in jack-ups in seawater, Mar. Struct., 14(2001), No. 4–5, p. 537.10.1016/S0951-8339(00)00053-8 ↗
12. M. Kadowaki, I. Muto, Y. Sugawara, T. Doi, K. Kawano, and N. Hara, Real-time microelectrochemical observations of very early stage pitting on ferrite-pearlite steel in chloride solutions, J. Electrochem. Soc., 164(2017), No. 6, p. C261.10.1149/2.0801706jes ↗
13. F.M. Al-Abbasi, Micromechanical modeling of ferrite–pearlite steels, Mater. Sci. Eng. A, 527(2010), No. 26, p. 6904.10.1016/j.msea.2010.07.045 ↗
14. D.N. Staicopolus, The role of cementite in the acidic corrosion of steel, J. Electrochem. Soc., 110(1963), No. 11, art. No. 1121.10.1149/1.2425602 ↗
15. J.B. Zhao, P.X. Wang, H.C. Ma, X.Q. Cheng, and X.G. Li, Essential role of Si in enhancing corrosion resistance of high strength low alloy steels in marine environment, J. Mater. Res. Technol., 30(2024), p. 3328.10.1016/j.jmrt.2024.04.108 ↗
16. A. Sathyanarayanan, A. Köhl, and D. Stammer, Ocean salinity changes in the global ocean under global warming conditions. part I: Mechanisms in a strong warming scenario, J. Clim., 34(2021), No. 20, p. 8219.
17. P.J. Durack, Ocean salinity and the global water cycle, Oceanography, 28(2015), No. 1, p. 20.10.5670/oceanog.2015.03 ↗
18. A. Behjat, M. Shamanian, M. Atapour, and M.A. Sarmadi, Microstructure and corrosion properties of friction stir-welded high-strength low-alloy steel, Trans. Indian Inst. Met., 74(2021), No. 7, p. 1763.10.1007/s12666-021-02219-4 ↗
19. W. Wu, Z.Y. Liu, X.G. Li, C.W. Du, and Z.Y. Cui, Influence of different heat-affected zone microstructures on the stress corrosion behavior and mechanism of high-strength low-alloy steel in a sulfurated marine atmosphere, Mater. Sci. Eng. A, 759(2019), p. 124.10.1016/j.msea.2019.05.024 ↗
20. A. Kahyarian, M. Achour, and S. Nesic, Mathematical modeling of uniform CO2 corrosion, [in] A.M. El-sherik, ed, Trends in Oil and Gas Corrosion Research and Technologies. Elsevier, 2017, p. 805.10.1016/B978-0-08-101105-8.00034-6 ↗
21. J.A. Rodríguez, J. Cruz-Borbolla, P.A. Arizpe-Carreón, and E. Gutiérrez, Mathematical models generated for the prediction of corrosion inhibition using different theoretical chemistry simulations, Materials, 13(2020), No. 24, art. No. 5656.10.3390/ma13245656 ↗
22. N. Van den Steen, Y. Gonzalez-Garcia, J.M.C. Mol, H. Terryn, and Y. Van Ingelgem, Predicting the effect of droplet geometry and size distribution on atmospheric corrosion, Corros. Sci., 202(2022), art. No. 110308.10.1016/j.corsci.2022.110308 ↗
23. A.R. Mendoza and F. Corvo, Outdoor and indoor atmospheric corrosion of carbon steel, Corros. Sci., 41(1999), No. 1, p. 75.10.1016/S0010-938X(98)00081-X ↗
24. M. Marja-aho, P. Rajala, E.H. Saarivirta, et al., Copper corrosion monitoring by electrical resistance probes in anoxic groundwater environment in the presence and absence of sulfate reducing bacteria, Sens. Actuators A: Phys., 274(2018), p. 252.10.1016/j.sna.2018.03.018 ↗
25. G.D. Sun, G.F. Qiao, and B. Xu, Corrosion monitoring sensor networks with energy harvesting, IEEE Sens. J., 11(2011), No. 6, p. 1476.10.1109/JSEN.2010.2100041 ↗
26. G.S. Duffó, S.B. Farina, and C.M. Giordano, Characterization of solid embeddable reference electrodes for corrosion monitoring in reinforced concrete structures, Electrochim. Acta, 54(2009), No. 3, p. 1010.10.1016/j.electacta.2008.08.025 ↗
27. D. Mizuno, S. Suzuki, S. Fujita, and N. Hara, Corrosion monitoring and materials selection for automotive environments by using Atmospheric Corrosion Monitor (ACM) sensor, Corros. Sci., 83(2014), p. 217.10.1016/j.corsci.2014.02.020 ↗
28. B.Q. Wang, Y.R. Li, X.Q. Cheng, et al., Data-driven optimization model customization for atmospheric corrosion on low-alloy steel: Incorporating the dynamic evolution of the surface rust layer, Corros. Sci., 221(2023), art. No. 111349.10.1016/j.corsci.2023.111349 ↗
29. M. Kouril, T. Prosek, B. Scheffel, and F. Dubois, High sensitivity electrical resistance sensors for indoor corrosion monitoring, Corros. Eng. Sci. Technol., 48(2013), No. 4, p. 282.10.1179/1743278212Y.0000000074 ↗
30. S. Li, Y.G. Kim, S. Jung, H.S. Song, and S.M. Lee, Application of steel thin film electrical resistance sensor for in situ corrosion monitoring, Sens. Actuators B: Chem., 120(2007), No. 2, p. 368.10.1016/j.snb.2006.02.029 ↗
31. M. Zhu, B.Z. Zhao, Y.F. Yuan, S.Y. Guo, and G.Y. Wei, Study on corrosion behavior and mechanism of CoCrFeMnNi HEA interfered by AC current in simulated alkaline soil environment, J. Electroanal. Chem., 882(2021), art. No. 115026.10.1016/j.jelechem.2021.115026 ↗
32. Y.M. Fan, W. Liu, Z.T. Sun, et al., Effect of chloride ion on corrosion resistance of Ni-advanced weathering steel in simulated tropical marine atmosphere, Constr. Build. Mater., 266(2021), art. No. 120937.10.1016/j.conbuildmat.2020.120937 ↗
33. Z.H. Jiang, T.Q. Chen, Z.C. Che, et al., Effect of Ca–Mg microalloying on corrosion behavior and corrosion resistance of low alloy steel in the marine atmospheric environment, Corros. Sci., 234(2024), art. No. 112134.10.1016/j.corsci.2024.112134 ↗
34. T.Y. Zhang, Y.L. Li, X. Li, et al., Integral effects of Ca and Sb on the corrosion resistance for the high strength low alloy steel in the tropical marine environment, Corros. Sci., 208(2022), art. No. 110708.10.1016/j.corsci.2022.110708 ↗
35. T.Q. Chen, X.K. Cai, Y.B. Zhong, et al., Assessing the durability of low-alloy rebars in China plateau environment by outdoor exposure and on-site online monitoring, Constr. Build. Mater., 468(2025), art. No. 140475.10.1016/j.conbuildmat.2025.140475 ↗
36. Z.B. Pei, D.W. Zhang, Y.J. Zhi, et al., Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning, Corros. Sci., 170(2020), art. No. 108697.10.1016/j.corsci.2020.108697 ↗
37. Z.B. Pei, X.Q. Cheng, X.J. Yang, et al., Understanding environmental impacts on initial atmospheric corrosion based on corrosion monitoring sensors, J. Mater. Sci. Technol., 64(2021), p. 214.10.1016/j.jmst.2020.01.023 ↗
38. M.J. Jiménez-Come, I.J. Turias, and J.J.R. Aguilar, A two-stage model based on artificial neural networks to determine pitting corrosion status of 316L stainless steel, Corros. Rev., 34(2016), No. 1–2, p. 113.10.1515/corrrev-2015-0048 ↗
39. M. Kamrunnahar and M. Urquidi-Macdonald, Prediction of corrosion behavior using neural network as a data mining tool, Corros. Sci., 52(2010), No. 3, p. 669.10.1016/j.corsci.2009.10.024 ↗
40. N. Morizet, N. Godin, J. Tang, E. Maillet, M. Fregonese, and B. Normand, Classification of acoustic emission signals using wavelets and Random Forests: Application to localized corrosion, Mech. Syst. Signal Process., 70(2016), p. 1026.10.1016/j.ymssp.2015.09.025 ↗
41. R. Díaz-Uriarte and S. Alvarez de Andrés, Gene selection and classification of microarray data using random forest, BMC Bioinformatics, 7(2006), art. No. 3.10.1186/1471-2105-7-3 ↗
42. L. Zhang, L.L. Wang, X.D. Zhang, S.R. Liu, P.S. Sun, and T.L. Wang, The basic principle of random forest and its applications in Ecology: A case study of pinus yunnanensis, Acta Ecol. Sin., 34(2014), No. 3, p.650.
43. Z.Y. Liu, W.K. Hao, W. Wu, H. Luo, and X.G. Li, Fundamental investigation of stress corrosion cracking of E690 steel in simulated marine thin electrolyte layer, Corros. Sci., 148(2019), p. 388.10.1016/j.corsci.2018.12.029 ↗
44. C. Thee, L. Hao, J.H. Dong, et al., Atmospheric corrosion monitoring of a weathering steel under an electrolyte film in cyclic wet-dry condition, Corros. Sci., 78(2014), p. 130.10.1016/j.corsci.2013.09.008 ↗
45. D. de la Fuente, I. Díaz, J. Simancas, B. Chico, and M. Morcillo, Long-term atmospheric corrosion of mild steel, Corros. Sci., 53(2011), No. 2, p. 604.10.1016/j.corsci.2010.10.007 ↗
46. H.Y. Wu, H.G. Lei, Y.F. Chen, and J.Y. Qiao, Comparison on corrosion behaviour and mechanical properties of structural steel exposed between urban industrial atmosphere and laboratory simulated environment, Constr. Build. Mater., 211(2019), p. 228.10.1016/j.conbuildmat.2019.03.207 ↗
47. J. Guo, S.W. Yang, C.J. Shang, Y. Wang, and X.L. He, Influence of carbon content and microstructure on corrosion behaviour of low alloy steels in a Cl− containing environment, Corros. Sci., 51(2009), No. 2, p. 242.10.1016/j.corsci.2008.10.025 ↗
48. W. Wu, Z.Y. Liu, Q.Y. Wang, and X.G. Li, Improving the resistance of high-strength steel to SCC in a SO−2 polluted marine atmosphere through Nb and Sb microalloying, Corros. Sci., 170(2020), art. No. 108693.10.1016/j.corsci.2020.108693 ↗
49. H.X. Liu, F. Huang, W. Yuan, Q. Hu, J. Liu, and Y.F. Cheng, Essential role of element Si in corrosion resistance of a bridge steel in chloride atmosphere, Corros. Sci., 173(2020), art. No. 108758.10.1016/j.corsci.2020.108758 ↗
50. Y. Wang, X. Mu, J.H. Dong, A.J. Umoh, and W. Ke, Insight in- to atmospheric corrosion evolution of mild steel in a simulated coastal atmosphere, J. Mater. Sci. Technol., 76(2021), p. 41.10.1016/j.jmst.2020.11.021 ↗
51. Y. Yang, X.Q. Cheng, J.B. Zhao, Y. Fan, and X.G. Li, A study of rust layer of low alloy structural steel containing 0.1% Sb in atmospheric environment of the Yellow Sea in China, Corros. Sci., 188(2021), art. No. 109549.10.1016/j.corsci.2021.109549 ↗
52. C.H. Yin, X. Zhang, S.L. Wang, et al., Corrosion behavior and mechanism of Cr and Cu alloy weathering steel in simulated marine atmospheric environment, J. Mater. Res. Technol., 35(2025), p. 3098.10.1016/j.jmrt.2025.01.228 ↗
53. H. Chen, H.Y. Cui, Z.B. He, L. Lu, and Y.H. Huang, Influence of chloride deposition rate on rust layer protectiveness and corrosion severity of mild steel in tropical coastal atmosphere, Mater. Chem. Phys., 259(2021), art. No. 123971.10.1016/j.matchemphys.2020.123971 ↗
54. Y.T. Ma, Y. Li, and F.H. Wang, Weatherability of 09CuPCrNi steel in a tropical marine environment, Corros. Sci., 51(2009), No. 8, p. 1725.10.1016/j.corsci.2009.04.024 ↗
55. R.E. Melchers, Pitting corrosion of mild steel in marine immersion environment: Part 2: Variability of maximum pit depth, Corrosion, 60(2004), No. 10, p. 937.10.5006/1.3287827 ↗
56. X.J. Yang, Y. Yang, M.H. Sun, et al., A new understanding of the effect of Cr on the corrosion resistance evolution of weathering steel based on big data technology, J. Mater. Sci. Technol., 104(2022), p. 67.10.1016/j.jmst.2021.05.086 ↗
57. L. Yang, X.J. Yang, B.Q. Wang, Z.F. Wang, X.Q. Cheng, and X.G. Li, Corrosion resistance optimization of Sn-additional low-alloy high strength steel by data-driven identification and field exposure verification, J. Mater. Res. Technol., 25(2023), p. 3624.10.1016/j.jmrt.2023.06.159 ↗
58. Z.F. Wang, J.R. Liu, L.X. Wu, R.D. Han, and Y.Q. Sun, Study of the corrosion behavior of weathering steels in atmospheric environments, Corros. Sci., 67(2013), p. 1.10.1016/j.corsci.2012.09.020 ↗
59. Y.F. Wang, J.G. Li, Q.F. Wang, and T.S. Wang, Some new discoveries on the structure of the rust layer of weathering steel in a simulated industrial atmosphere by STEM-EDS and HRTEM, Corros. Sci., 183(2021), art. No. 109322.10.1016/j.corsci.2021.109322 ↗
60. M.H. Sun, X.J. Yang, C.W. Du, et al., Distinct beneficial effect of Sn on the corrosion resistance of Cr–Mo low alloy steel, J. Mater. Sci. Technol., 81(2021), p. 175.10.1016/j.jmst.2020.12.014 ↗
61. W. Wu, Z.Y. Dai, Z.Y. Liu, C. Liu, and X.G. Li, Synergy of Cu and Sb to enhance the resistance of 3% Ni weathering steel to marine atmospheric corrosion, Corros. Sci., 183(2021), art. No. 109353.10.1016/j.corsci.2021.109353 ↗
62. Q. Qu, C.W. Yan, L. Zhang, Y. Wan, and C.N. Cao, Influence of NaCl deposition on atmospheric corrosion of A3 steel, J. Mater. Sci. Tech., 18(2002), No. 6., p. 552.
63. H.H.S. Strehblow, Mechanistic aspects of nucleation and growth of corrosion pits on metal, [in] P. Schmuki, D.J. Lockwood, Y.H. Ogata, and H.C. Isaacs, eds., Proceedings of International Symposium on Pits and Pores II: Formation, Properties and significance for Advanced Materials, Phoenix, 2001, p.17.
64. W.Y. Lv, Z.Y. Wang, Q.C. Yu, and W. Su, Synergic effect of NaHSO3 and NaCl on atmospheric corrosion of Q235 steel, Corros. Sci. Prot. Technol., 27(2015), No. 6, p. 545.
65. S.X. Li and L.H. Hihara, In situ Raman spectroscopic identification of rust formation in Evans’ droplet experiments, Electrochem. Commun., 18(2012), No. 1, p. 48.10.1016/j.elecom.2012.02.014 ↗
66. Y.T. Ma, Y. Li, and F.H. Wang, Corrosion of low carbon steel in atmospheric environments of different chloride content, Corros. Sci., 51(2009), No. 5, p. 997.10.1016/j.corsci.2009.02.009 ↗
67. T. Misawa, The thermodynamic consideration for Fe–H2O system at 25°C, Corros. Sci., 13(1973), No. 9, p. 659.10.1016/S0010-938X(73)80037-X ↗