Experimental study on slip resistance performance of ASTM A1010 stainless steel bolted connections
Bibliographic record
Abstract
The primary aim of this experimental research was to provide information on the slip coefficient performance of ASTM A1010 stainless steel material and to ascertain if its behaviour is comparable to that of 350W Structural Steel. In accomplishing this task, it was important to examine other parameters associated with slip resistance testing, such as (i) bolt relaxation and (ii) the effect of temperature variation and re-usability of high strength bolts. In the 2014 edition of the Canadian Highway Bridge Design Code, the slip coefficient for clean mill scale and hot dip galvanized surface condition for the 350W structural steel is specified as 0.35, whereas for blasted-clean surface condition is specified as 0.5. Although test results in this research showed lower values for tested structural steel plates, the slip coefficient of A1010 stainless steel material performed better than the 350W structural steel for each surface condition and at the same temperature range. Recommendations regarding the slip resistance test method and the methodology for achieving the required surface conditions in slip resistance connection were drawn.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".