Construction and Analysis of a Dynamic Model for a Canadian Direct-Cycle SCWR for Control System Studies
Bibliographic record
Abstract
In this paper, a dynamic model of the Canadian supercritical water-cooled reactor (SCWR) is developed to examine its dynamics for potential control system design and analysis. The model development is based on fundamental mass, energy, and momentum conservation equations of major components within the Canadian SCWR operating at supercritical condition. A full set of nonlinear dynamic equations is first derived, from which linearized models are obtained. The linearized models are validated against the full-order nonlinear models in both time domain and frequency domain. The open-loop dynamic characteristics of the Canadian SCWR are investigated through extensive simulations. Steady-state and dynamic couplings among different inputs and outputs are examined using relative gain array and Nyquist plots, and adequate input-output pairings are identified. Cross-coupling at different operating conditions is also evaluated to illustrate the nonlinear behaviors of the system. The developed dynamic model provides a necessary platform for systematic investigation in the control system design and analysis of the Canadian SCWR.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".