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Updated: Jan 10, 2026

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Published on: November 1, 2018
Numerical and Experimental Correlation Between Half-Cell Potential and Steel Mass Loss in Corroded Reinforced
Max Lawrence L Li1, Seong-Hoon Kee2, Cris Edward F Monjardin1
1School of Civil, Environmental and Geological Engineering, Mapua University, Manila 1102, Philippines.
Half-cell potential measurements can now quantify steel corrosion severity, moving beyond probability. This study demonstrates how simulated HCP values correlate with mass loss, enabling better monitoring and maintenance strategies for structures.
Area of Science:
- Materials Science
- Civil Engineering
- Electrochemistry
Background:
- Half-cell potential (HCP) is a non-destructive method for assessing corrosion probability in steel.
- Current HCP interpretation is limited to probabilistic assessments, lacking quantitative measures of steel mass loss.
Purpose of the Study:
- To investigate the potential of HCP measurements for quantifying actual corrosion severity.
- To establish numerical correlations between simulated HCP values and steel mass loss.
Main Methods:
- Regression analysis of published experimental data to establish relationships between corrosion current density (J(corr)), electrical resistivity (ER), HCP, and steel mass loss (mL).
- Numerical simulation of HCP responses using COMSOL Multiphysics v6.2.
- Correlation analysis between simulated HCP and measured mass loss.
Main Results:
- Simulations showed increasingly negative HCP values with higher J(corr) and conductivity.
- A high-fidelity second-order polynomial correlation (R2 = 0.9999) was achieved between simulated HCP and measured mass loss (0-20%).
- This correlation enables quantitative interpretation of corrosion severity.
Conclusions:
- HCP measurements can be quantitatively interpreted to predict and assess steel corrosion severity.
- The findings suggest HCP can serve as a predictive indicator for corrosion extent.
- This quantitative approach can enhance structural monitoring and maintenance strategies.
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