Correlation Models for Metal Corrosion and Mechanical Properties in Dynamic Service Environments

CHEN Qian; WANG Han; WEI Mumeng; YAO Jinghua; MA Xiaobing

doi:10.7643/issn.1672-9242.2026.03.011

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Equipment Environmental Engineering ›› 2026, Vol. 23 ›› Issue (3) : 96-106. DOI: 10.7643/issn.1672-9242.2026.03.011

Special Issue—Equipment Service Environment and Performance Testing

Correlation Models for Metal Corrosion and Mechanical Properties in Dynamic Service Environments

CHEN Qian¹, WANG Han¹, WEI Mumeng², YAO Jinghua², MA Xiaobing^1,*

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Abstract

To address the challenge of accurately predicting metal corrosion and mechanical property degradation of cross-sea equipment operating in dynamic marine environments, the work aims to investigate the nonlinear acceleration effects of dynamic marine environments on corrosion kinetics and load-bearing capacity decay of metal materials. Focusing on 945 steel subjected to three-year real-ship exposure, a dynamic environmental equivalent conversion method based on acceleration-effect equivalence was proposed to transform fluctuating temperature and humidity histories into equivalent constant environmental values. Building upon this, a multivariate nonlinear corrosion weight-loss prediction model incorporating temperature and humidity acceleration terms was developed. Furthermore, grounded in the physical mechanism of macro-scale stress concentration induced by pitting corrosion, a logarithmic corrosion-mechanical property association-evolution model was established, with corrosion weight loss serving as the intermediate linking variable. In consideration of dynamic nonlinear acceleration, the equivalent temperature (21.34 ℃) and equivalent relative humidity (73.70%) along the actual ship route were significantly higher than their nominal arithmetic averages. The multivariate corrosion degradation model achieved a relative prediction error within 12% across all validation nodes, and the constructed ±2σ probability envelope effectively encompassed the measured discrete data points. Moreover, the corrosion-mechanical association-evolution model successfully captured the characteristic strength degradation pattern of “initial sharp drop followed by gradual stabilization”, with relative prediction errors for both tensile and yield strength remaining below 3% throughout the entire validation period. By overcoming the limitations of traditional average-value conversion methods, which severely underestimate the severity of corrosion in dynamic environments the proposed cascaded modeling framework—integrating “environmental equivalent conversion-corrosion weight loss prediction,-mechanical property mapping”-enables high-precision and high-reliability quantification of material corrosion and mechanical damage under temporally fluctuating marine conditions, thereby providing a robust quantitative methodology for structural safety assessment and condition-based maintenance of long-range maritime equipment.

Key words

dynamic environment / real-ship voyage / metal corrosion / mechanical properties / equivalent conversion / correlation modeling

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CHEN Qian, WANG Han, WEI Mumeng, YAO Jinghua, MA Xiaobing. Correlation Models for Metal Corrosion and Mechanical Properties in Dynamic Service Environments[J]. Equipment Environmental Engineering. 2026, 23(3): 96-106 https://doi.org/10.7643/issn.1672-9242.2026.03.011

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