Analysis and design for the resilience of shear connections
Why this work is in the frame
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Bibliographic record
Abstract
This paper proposes an approach for quantifying the demands on shear connections under the assumption of an ineffective column. Formulas and an algorithm are developed to evaluate the axial force, axial deformation, rotation, and moment demands on beam-to-column shear connections. The analysis algorithm developed is verified using a solved example found from literature. Parametric studies are conducted to determine important parameters in the connection modeling for resilience design. Furthermore, a detailed procedure indicating how to obtain the properties of an end-plate shear connection for its resilience design is provided. Four end-plate connection examples are employed to illustrate the proposed methodology. Finally, a capacity design concept is introduced for the ductility design of shear connections. This study demonstrates that shear connections should be designed explicitly for its resilience to resist progressive collapse of a girder-and-beam system.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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 it