(Invited) Effect of Bentonite Dry Density on Corrosion of Embedded Copper
Bibliographic record
Abstract
As per international consensus on the best practice for managing used nuclear fuel (UNF), the NWMO, plan to isolate and contain UNF within a multiple-barrier system, underground in a deep geological repository (DGR) [1]. In the proposed design, used fuel bundles will be sealed in copper-coated carbon steel used fuel containers (UFC), encased in blocks of highly compacted bentonite clay, and emplaced ~500 m below ground in the DGR. Any gaps between the rock walls and the bentonite blocks will then be filled with a bentonite gapfill material (GFM). Due to its small pore size, high swelling pressures, and cation exchange properties [2], the bentonite will significantly limit the transport of active species to and from (in the case of a UFC failure) the UFCs. The high swelling pressure can suppress a potential UFC corrosion induced by sulphate reducing bacteria (SRB) by decreasing the clay pore space and lowering water activity [3]. Those properties of the bentonite clay are a function of several physical and chemical parameters. The goal of this work is to investigate the effect of bentontie dry density, presence of oxygen, and evolution of conditions on corrosion of copper in contact with bentonite, and on SRB viability, by varying water composition and GFM dry density. In this work we are conducting a series of experiments in bentonite-filled modules exposed to ocean conditions (ocean modules, OM) and more controlled laboratory-based conditions (pressure vessels, PC). The OM are porous vessels containing copper coupons embedded in GFM that has been compacted to various dry densities. The modules are then placed in the Pacific Ocean at up to 2.6 km depth for months-to-years at a time where they are exposed to seawater with hydrostatic pressures representative of potential DGR pressures. PC experiments contain copper coupons embedded in GFM are pressurized to 100 bar with Type-1 water for varying durations up to 1 year. After exposure, copper coupons are analyzed by SEM, XPS, FIB, and AES. The change in topography is evaluated using CLSM, the water activity of the bentonite assessed, and 16s RNA analysis used to determine the presence of SRB. Two OMs, both with cold-spray (Cu cs ) and wrought (Cu w ) copper coupons, with GFM (dry density of 1.25 or 1.45 g/cm 3 ) were exposed to seawater at 90 meters deep for 6 months. Analysis found the copper surface, post-experiment, to be non-uniformly corroded, possibly due to non-uniform wetting, and subsequently swelling, of the clay. The surface corrosion products consisted of Cu 2 O (~85 % at ), Cu 2 S (~ 5 % at ), CuCl (~3 % at ), and CuO (~ 3 % at ). Cu w had higher amounts of Cu 2 O and lower amounts of Cu 2 S at both GFM dry densities. Both the Cu w and Cu cs exposed to the higher density GFM had lower amounts of Cu 2 S and higher amounts of Cu 2 O on the surface. This may be the result of non-uniform swelling, decresed mobility of the sulphide or a decrease in the number of metabolically active SRBs, or a combination of those factors [3]. Mass loss measurements, determined that Cu cs had a higher corrosion rate than Cu w ; however, Cu w corrosion rates were less affected by the GFM dry density variation. Overall, the increase in bentonite dry density resulted in a decrease in copper corrosion rates, with the Cu cs corrosion rate being decreased more significantly than that of Cu w . Profilometry measurements of the surface, performed after removal of the corrosion products, showed a decrease in surface roughness on Cu cs as the GFM dry density was increased, but the surface roughness of Cu w was not significantly affected. The experiments performed in PCs for 1 month duration, found similar results. Cross-sections of the film formed at the copper surface revealed the presence of copper, oxygen, and sulphur, unevenly distributed across the copper surface, accounting for the non-uniform corrosion observed. The corrosion rates were significantly higher than those in the OM experiments, due to higher oxygen concentration. Profilometry measurements concluded the Cu cs and Cu w surfaces had lower roughness than those in the OM experiments. Noronha. Deep Geological Repository Conceptual Design Report Crystalline/Sedimentary Rock Environment, NWMO., Toronto, ON, Canada, Report# APM-REP-00440-0015 R001, 2014 . Muurinen. Measurements on Cation Exchange Capacity of Bentonite in the Long- Term Test of Buffer Material (LOT) . Report# 2011-10; POSIVA: 2011 . Stroes-Gascoyne, C.J. Hamon, D. Priyanto, D. Jalique, C. Kohle, W. Evergen, A. Grigoryan, D. K. Kober, Microbial Analysis of a Highly Compacted Wyoming MX-80 Bentonite Plug Infused Under Pressure with Distilled Deionised Water over a Period of Almost Eight Years, NWMO, Toronto, ON, Canada, TR-2014-20, 2014 .
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".