Modeling and Testing of Shear Connections with Beams under Tension Membrane Loading
Bibliographic record
Abstract
Structural steel framing members subjected to blast loading respond initially in flexure followed by tension membrane as deflection increases. If member connections have been adequately designed and detailed, those members can achieve large deformations and achieve significantly greater load capacity in tension membrane than can be developed in flexure only. The applied load and large deformation of the member produce a tensile axial force that must be resisted by both the member and corresponding connections. With rigid connections, the normal-to-plane deformations cause elongation of the member. Even a small axial elongation along the component axis can produce significant tensile forces. If a portion of the axial deformation could be relieved by incorporating flexibility of the connections, the resulting axial force in the member and the force demand on the connections can be reduced. Moreover, similar concepts used while designing the component are required for the connection design such as: strength, stiffness, ductility, especially if a ductile failure mode in the component is expected. Ample research has been done to study semi-rigid connection behavior during conventional loading. However, there is limited research of connections for members subjected to blast and impact loading. Recently, the University of Alberta has performed research on the behavior of shear connections (SC) of structures subjected to progressive collapse loading. Although this research evaluated response with a lower strain rate effect than typically occurs with blast loading, the connection test data is valuable for model development. Currently, there is no comprehensive blast standard or guideline for design of connections in components subjected to blast load. This paper presents a multi-degree of freedom (MDOF) approach to compute the overall response of a steel member subjected to blast loading, including the component (with large deformation) and connections. Connection models proposed by the University of Alberta are incorporated in the MDOF tool. This MDOF approach can predict a more realistic response of the system subjected to blast loading than provided by typical single-degree-of-freedom (SDOF) approaches, which ignore connection flexibility.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".