New technologies for fire suppression on board naval craft, FiST
Bibliographic record
Abstract
For three years Canada, Sweden and the Netherlands have been investigating new technologies for fire suppression on board naval crafts within the FiST project. The project has focused on a number of technologies. These included the evaluation of water based fire suppression systems and in particular the efficacy of such systems when damaged. Damage included reduced system pressures, inoperable nozzles and the incorporation of sections of shrapnel damaged piping into the water delivery system. Firefighting systems for use on board submarines were investigated to provide information for halon replacement strategies. The efficacy and hazards associated with the use of gaseous fire suppressants for use in electrical cabinets on board ships and submarines and the protection of ammunition storage spaces were also evaluated. The FiST project has been successful in providing a substantial amount of experimental data and analyses in these areas. Throughout the project we have adopted a functionally based approach to the design of fixed systems for firefighting on board naval vessels. Many prescriptive regulations are based on either non-valid assumptions concerning the nature of fires on a particular vessel. They can be based on experimental or theoretical validation that has been lost, i.e. the origin and rationale for the regulation is not traceable. In many instances it is not possible to assure the applicability of the regulation today. This can lead to the installation of costly, poorly dimensioned and ineffective systems. The design of firefighting systems on military vessels using a functionality approach may require more work than using prescriptive regulations. However, it will most likely result in a more cost effective system. A tailored system may also provide enhanced operability with respect Navy threats and requirements. It is interesting in this context that functionally based regulations have been adopted in the fire chapter of both SOLAS and the Naval Ship Code. The paper will present and discuss experimental results from the FiST project from the perspective of a functionally based approach to fire suppression on board naval vessels.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".