Design for Block Shear of Coped Beams with a Welded End Connection
Bibliographic record
Abstract
This paper presents a numerical study of the block shear strength and behavior of coped beams with welded end connections. The finite-element (FE) method was employed to predict the structural behavior and block shear capacity of specimens tested during a previous experimental study conducted by the writers. In general, the finite-element analysis results compared well with the test results, and the validated finite-element models were used subsequently to further investigate the structural behavior of the connections through a parametric study. The results show that the block shear capacity of coped beams with welded end connections, in general, increases with increasing connection rotational stiffness and increasing web block aspect ratio (depth/width). It was found that, for design purposes, connections with a large web block aspect ratio (large depth and narrow width) should be used to reduce the effects of loading eccentricity between the centroid of the weld group of the connection and the support. The finite-element analysis results also show that, for the coped beams with small connection rotational stiffness, shear yielding only occurs over a small portion of the shear area. Based on the test and the finite-element analysis results, a design equation previously proposed by the first writer for evaluating the block shear capacity of a coped beam with a welded clip angle connection was modified to account for the effects of the connection rotational stiffness. The predictions based on the modified design equation compare well with the test and the finite-element analysis results. The ratio of the test and the FE capacities to the predicted capacities has a mean of 1.01 and a coefficient of variation of 0.05.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".