Evaluation of the characteristic properties of grouts made with high volume of supplementary cementitious materials
Bibliographic record
Abstract
Building on international experience in decommissioning experimental reactors through in-situ decommissioning (ISD) techniques, two Canadian experimental reactors that have been in storage with surveillance mode for the past three decades, Nuclear Power Demonstration (NPD) and the Whiteshell Reactor No. 1 (WR-1) are proposed to be decommissioned in situ resulting in two disposal facilities. The approach proposed by the applicant is to encase the below-grade structures in two specially-formulated grouts, with the above-grade structures dismantled and either removed or grouted below grade. Finally, a concrete cap and a low permeability engineered cover would be installed to achieve closure. One area of interest for both ISD projects is that the grouted structures would be below the water table. The long-term behaviour of the specially-formulated grouts and existing structures with regards to groundwater flow and solute transport therefore needs to be adequately assessed and understood from long-term human health and ecological risk assessment perspectives. The Canadian Nuclear Safety Commission (CNSC) has initiated a research project aimed to characterize some properties of the grouts that Canadian Nuclear Laboratories (CNL) has indicated that it intends to use for the NPD and WR-1 ISD projects. This research aims to support CNSC staff in their regulatory assessment of the validity of the assumptions made in CNL’s safety analysis reports and, more generally, of the adequacy of the proposed grouts to fulfil their functions in the ISD projects. The paper presents the details of the ongoing experimental research project conducted by the CNSC. In particular, in addition to characterizing some of the usual properties of the grouts (such as workability, air content, temperature, unconfined compressive strength, etc.), the experimental program will characterize the grouts’ bleeding, static segregation, adiabatic behaviour, pH, Young’s modulus, tensile strength as well as density, absorption and leaching properties. The shrinkage will also be assessed, with a particular focus on the early-age strain behaviour of both mixes. Finally, the (relatively) long-term behaviour of the grouts will be assessed through a characterization of their hydraulic conductivity at different ages and under different crack opening conditions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".