Analysis and Design of Ex-Service Garter Spring Irradiation Capsules in the High Flux Isotope Reactor
Bibliographic record
Abstract
Nickel-based super alloys such as Inconel X-750 are used to fabricate internal components for various reactor systems. Recent efforts to research and understand the effects of long-term neutron radiation damage on this material are crucial for quantifying the performance (radiation-induced creep and embrittlement) of such materials under extended use. The CANDU® ex-service garter spring irradiation program was instituted to investigate such effects on various types of Inconel X-750 garter springs, tensile specimens, and fatigue specimens. Conventional irradiation programs use rabbits, which are capsules that are generally loaded with non radioactive irradiation specimens. These rabbits are designed to realize various specimen temperatures while irradiated to high neutron fluences in the Oak Ridge National Laboratory (ORNL) High Flux Isotope Reactor (HFIR). To accelerate the irradiation schedule of this program, two types of material — unirradiated and previously irradiated ex-service garter spring material — were both included in the irradiation program test matrix. These two material conditions are expected to provide intermediate and end-of-life neutron dose experimental results concurrently to accelerate the overall irradiation program schedule. This document describes the B8J18 garter spring design and the supporting work required to successfully fabricate, assemble, and qualify subsequent irradiation capsules.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".