Impact of gravity loads on the lateral performance of cold- formed steel frame/ steel sheathed shear walls
Bibliographic record
Abstract
Canadian seismic design provisions for cold-formed steel framed/steel sheathed shear walls have been developed from previous research at McGill University with the intent of being incorporated into the Canadian section of the North American Lateral Design Standard for Cold-Formed Steel Framing (AISI S213), and ultimately to provide guidelines for design of these systems in the National Building Code of Canada and CSA-S136 Specification.In this previous research, a limited number of shear walls displayed unfavourable damage due to twisting deformations of the chord-studs and by local buckling. Also, the shear walls tested in previous research were only laterally loaded. The objective of the current research program was to address this unfavourable failure mode by evaluating the performance of cold-formed steel framed/steel sheathed shear walls, constructed with blocked stud members, which were tested under combined gravity and lateral loading. In total, fourteen single-storey shear walls (8 configurations) were subjected to monotonic and CUREE reversed cyclic lateral loading protocols. The Equivalent Energy Elastic-Plastic (EEEP) approach was used to analyse the test data and determine nominal shear resistance values. Relevant design parameters were determined: a resistance factor, phi, of 0.7, an overstrength value of 1.4, and ductility and overstrength seismic force modification factors (Rd = 2.0 and Ro = 1.3). Dynamic analysis of a two storey representative building model was carried out to validate the 'test-based' R-values following a methodology adopted from FEMA P695 to evaluate the seismic performance of a building system.The research program indicated that the blocking reinforcement detail had adequately resolved chord-stud twisting deformations and that the chord-studs, once designed to carry the combined gravity and lateral forces following a capacity based approach, would not fail thereby preventing any detrimental collapse of the framing system.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".