Effects of Material Properties Strain Rate Dependency on Moment Resisting Frames with Reduced Beam Sections
Bibliographic record
Abstract
There have been numerous numerical and experimental studies conducted to investigate the performance of a moment frame with reduced beam section (RBS).However, most of the numerical studies have not been carried out using realistic material properties and constitutive model that can more accurately represent the material response.Strain rate dependent material properties and parameters for mixed-mode hardening model for two heats of steel have been considered.One heat has the yield strength close to the minimum yield strength of CAN/CSA G40.20/21 350W steel and the other has the yield strength close to the probable yield strength of 385 MPa for grade 350W steel.Non-linear dynamic analyses on four-storey moderately ductile and limited ductility moment resisting frames with RBS for a suite of scaled ground motions have been carried out to investigate effects of material properties strain rate dependency on the response of the frame.Strain rate and deflection (inter-storey drift) have been found to be independent of material strength and material properties strain rate dependency.However, the strain rate is high enough that effects of material properties strain rate dependency on the structural response can be important.The mean increase in the moment at the center of RBS due to material properties strain rate dependency can be as high as 10%, and the mean predicted maximum moment can be greater than the calculated probable moment at the center of RBS by up to 13%.With strain rate dependent material properties, the mean predicted maximum base shear can exceed the design base shear by up to 20% and the predicted mean strain hardening factor calculated with respect to the initial static yield stress can be higher than the prescribed factors by up to 25%.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".