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A Weibull Distribution-Based Corrosion Rate Model for Intelligent Monitoring of Steel Structures in Marine Splash
Quanfeng Ouyang1,2, Jiahuan Rao1,2, Chuanrui Guo1,2
1National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Shenzhen), College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China.
Sensors (Basel, Switzerland)
|February 27, 2026
Summary
This study introduces a Weibull distribution corrosion-rate model for smart sensors to monitor steel structure integrity in marine splash zones. The model accurately predicts corrosion depth, enhancing structural safety and predicting residual life.
Area of Science:
- Materials Science
- Corrosion Engineering
- Structural Health Monitoring
Background:
- Steel structures in marine splash zones (MSZ) face severe corrosion due to humidity and wet-dry cycles.
- This corrosion threatens structural integrity and operational safety.
Purpose of the Study:
- To develop an intelligent, real-time corrosion monitoring model for MSZ steel structures.
- To create a core algorithm for smart corrosion sensors.
Main Methods:
- Developed a corrosion-rate model based on Weibull distribution.
- Validated the model using laboratory salt-spray cyclic tests simulating MSZ conditions.
- Analyzed corrosion behavior using mass-loss, electrochemical impedance spectroscopy (EIS), scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDS).
Main Results:
- Identified a three-stage corrosion progression.
- Confirmed the Weibull model accurately captures time-variant corrosion behavior under varying splash intensities.
- Demonstrated the model's reliability for real-time corrosion assessment.
Conclusions:
- The Weibull model provides a reliable algorithmic foundation for intelligent corrosion monitoring in MSZ.
- Enables real-time structural safety assessment and residual life prediction.
- Facilitates continuous corrosion depth data provision via smart sensors.
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