Bibliographic record
Abstract
Shear tab, or single-plate, connections are widely used as simple shear connections in the construction of steel structures. These connections take the form of a single plate shop welded to a supporting column or girder. During erection, the supported beam is moved into place and connected to the shear tab using bolts. In some cases, the eccentricity of the bolt group to the face of the supporting member must be increased due to congestion near the support face or for constructability. In this case, the shear tab connection is considered “extended” (the alternative being conventional). The Canadian Institute of Steel Construction (CISC) Handbook of Steel Construction and the American Institute for Steel Construction (AISC) Steel Construction Manual both include pre-designed conventional shear tab connections, the shear resistances of which were computed using the AISC design method [confirmed through testing by Astaneh et al. (1989)]. In addition, the AISC Manual includes a design method for extended configurations.This research aims to verify the accuracy in predicting the shear resistance of extended shear tab connections using a modified method, combining that of CSA S16-09 (2009), the CISC Handbook (2010), and the AISC Manual (2010). The shear resistances of 12 representative shear tab connections were predicted using said method and compared with the measured resistances found through full-scale testing. Four beam-to-column and eight beam-to-girder extended shear tab connections were tested in the Macdonald Engineering Jamieson Structures Laboratory at McGill University. Two of the four beam-to-column tests were governed by flexural tearing of the weld. The welds were sized, as specified in the AISC design method, at 5/8ths of the plate thickness (which assumes 345MPa steel welded with E49 electrodes). This author recommends the welds be sized using a design equation that takes into account the probable yield stress of the steel. The other two beam-to-column tests resulted in plastic local buckling of the bottom edge of the shear tab. The AISC design method allows for the buckling resistance to be calculated using two models: i) lateral torsional buckling or ii) a conservative classical plate buckling. The measured buckling resistances for both tests were significantly better predicted by the latter model. The beam-to-girder tests revealed that two limit states should be accounted for in the design method: i) biaxial buckling of full-height connections, and ii) localized deformation of the supporting girder web and flange for partial-height connections. Design equations are proposed for both of these limit states.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".