Evaluation of Postulated Spent Fuel Container Handling Accidents Using Numerical Simulations
Bibliographic record
Abstract
Ontario Power Generation (OPG) is transferring irradiated fuel from its CANDU nuclear generating stations in Ontario Canada, that has been cooled for a minimum of 10 years in the Irradiated Fuel Bay (IFB), into Dry Storage Containers (DSC). The Picketing Used Fuel Dry Storage Facility has been in operation for 6 years and over 200 DSC’s have been loaded to date. During the loading operation a DSC is lifted out of the IFB and craned over a wall into a decontamination pit (DP). This operation requires that the lid of the DSC be in place before the container is removed from the IFB. A lid clamp is used, which sits around the perimeter of the lid and maintains the boundary between the mating lid and container flange plates, to ensure that the lid is retained under normal and abnormal conditions. In the event of a crane failure, there is a potential for the DSC to impact the intermediate wall between the IFB and the DP. This may result in the DSC toppling over the wall and either falling into the DP or toppling back into the IFB. Both the IFB and the DP have floor impact pads to prevent structural damage. The lid clamp must demonstrate the ability to maintain the containment boundary under these postulated accident scenarios. A finite element model of the Dry Storage Container and the proposed lid clamp has been developed to assess the structural integrity of the lid clamp design. The postulated accident scenarios consider are a 9.9 meter drop in a centre of gravity over top edge orientation, in a top down flat end orientation and a near side drop orientation onto an impact pad representative of the IFB pad. Only the centre of gravity and near side orientations are presented in this paper. The simulations were carried out on a DEC ALPHA workstation using an in-house three dimensional non-linear multi-purpose finite element code entitled H3DMAP version 6.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.001 | 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 teacher head, 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".