| Development of a Methodology to Predict
Localized Corrosion of Container Materials |
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Various types of specimens are used to
evaluate the applicability of repassivation potential method to
predict pitting, crevice corrosion, and stress corrosion cracking. |
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| Long-term tests have shown the
applicability of repassivation potentials. |
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For more information, contact:
Xihua He, Ph.D.
(210) 522-5194
xhe@swri.org |
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Southwest Research Institute |
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Sponsor: U.S. Nuclear Regulatory Commission |
| Program Manager:
Xihua He, Ph.D. |
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Program Brief
Statement of Problem: Localized
corrosion limits the performance of container materials designed to
isolate radionuclides in a high-level waste repository.
Predicting the long-term occurrence of localized corrosion from
short-term experiments is a significant challenge.
Approach and Accomplishments:
Localized corrosion and stress corrosion cracking were shown to be
triggered when the corrosion potential exceeds the repassivation
potential. Experiments were performed to elucidate the mechanism of
repassivation of stainless steels and nickel-based alloys through the use
of Raman spectroscopy, microelectrodes, and thermodynamic modeling. The repassivation potentials of a number of alloys were measured as a
function of environmental variables. The corrosion potential was modeled
using well established electrochemical kinetic laws. These parameters
were then incorporated in the total system performance assessment code
to obtain a probabilistic estimate of container life.
The applicability of repassivation
potential to long-term prediction continues to be verified by experiments
conducted at controlled potentials and various redox conditions. In
addition, the predicted behavior of various alloys was verified against
industrial experience with these alloys in different applications such
as off-shore oil and gas components and chemical process industry
systems.
Client Benefits: The repassivation
potential methodology provides a powerful and flexible approach for
localized corrosion prediction. The approach has been determined to be
applicable for a variety of systems by investigators involved in many
high-level waste disposal programs. It is an abstracted model that has a
sound mechanistic basis and permits evaluation of a variety of design
options. |