Investigating the impact of aging on the mechanical properties of steel extracted from the hull of the Royal Canadian Navy ship Ex-HMCS Iroquois
Bibliographic record
Abstract
This paper presents the research results of testing the mechanical properties and fracture surfaces of aged steel components that were extracted from the hull of the retired Royal Canadian Navy Destroyer ex-HMCS Iroquois. A study is held to investigate the aged steel of the retired ship to determine the impact of aging on the mechanical properties of the steel and identifying its capability to meet the design requirements after more than 40 years of service under various conditions. A total number of 78 specimens were subjected to mechanical and microstructural characterization. The tests included uniaxial tensile behavior analysis of 30 different specimens, Rockwell hardness testing for 8 specimens at 48 locations, fracture energy measurement through Charpy impact test of 25 specimens and fracture surface characterization of 15 distinct specimens. Average yield strength and ultimate strength for the tested aged steels were 347 MPa and 502 MPa respectively. In addition, average Rockwell hardness B was 80 HRB and ductile to brittle temperatures were calculated to be −30 °C, −20 °C and −30 °C for the plate, web and flange respectively. The results presented remarkable alignment of properties with the design requirements even after 40 years of service in various conditions. • Mechanical characterization of aged steel specimens extracted from the retired ex-HMCS Iroquois destroyer. • Mechanical Characterization included tensile tests, Charpy tests and Rockwell hardness tests. • Fracture surface morphological characterization was performed using SEM and phase identification was also applied using EDS. • Mechanical Characterization results showed that the IROQ-Steel met design requirement range after 40 years of service. • Charpy test fracture surfaces demonstrated a full transition from ductile to brittle behavior as impact test temperature decreased.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".