Discussion of “Experimental study of concrete masonry infills bounded by steel frames”<sup>1</sup>Appears in the Canadian Journal of Civil Engineering, <b>39</b>(2): 180–190 [doi:10.1139/l11-122].
Bibliographic record
Abstract
The discussed paper presented a series of experimental tests studying the behavior and capacity of concrete masonry infills bounded by steel frames. In addition, the current design standards used in Canada and United States were verified based on the test results. The discussers appreciate the authors’ meaningful work. Some findings are interesting to the discussers and are worthy of further discussion. As a widely used method, “diagonal strut concept” is applied to both of the design standards. It is widely acknowledged that selecting an appropriate diagonal strut width, which can be affected by many factors such as the material of masonry infill and relative stiffness of the frame to the infill, is extremely critical for the application of this method. According to the discussed paper, both the stiffness and strength specified by MSJC (2011) agree well with the test results, while the CSA S304 (CSA 2004) does not. In addition, it can be concluded from Table 4 and Table 5 (please refer to Liu and Soon 2012) that the average design stiffness calculated by CSA S304 is approximately three times (2.72/0.96 = 2.83) that of the results of MSJC, while the relative average ultimate strength of CSA S304 to MSJC is approximately 0.5(1.13/2.37 = 0.48). The large differences between them are mainly caused by the different formulas of diagonal strut width. Therefore, in the following paragraph, the discussers would like to directly compare the two formulas of calculating the diagonal strut width so as to gain a better understanding of the differences. One of the differences between the two equations is that the effect of frame beam to the width of diagonal strut is neglected in MSJC. So to have a meaningful comparison, identical omission is applied to the equation of CSA S304 as well. Then, the equation of w is as follows:
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".