DSM For Web Crippling Strength of Flange Fastened Lipped CFS Channels under ITF Loading: A Comprehensive Investigation
Bibliographic record
Abstract
The Direct Strength Method (DSM) is used for the computation of the design strength of members whose behavior is governed by any form of buckling.DSM based semi-empirical equations have been successfully used for cold-formed steel (CFS) members subjected to compression, bending, and shear.The DSM equations for the a CFS member strength are based on the parameters accounting for strength [yield load (Py), yield moment (My), and shear yield load (Vy) for compression, bending, and shear respectively] and stability [buckling load (Pcr), buckling moment (Mcr), and shear buckling load (Vcr) for compression, bending and shear respectively].The buckling of column and beam shall be governed by local, distortional, or global buckling modes and their interaction.Recently DSM-based methods are extended for the web crippling strength of CFS beams also.Numerous DSM-based expressions were reported in the literature which is the function of loading case, cross-section shape, and boundary condition.Unlike members subjected to axial load, bending, or shear, no unified expression for the design web crippling strength irrespective of the loading case, cross-section shape, and end boundary conditions are available yet.This study based on nonlinear finite element analysis (FEA) results shows that slenderness of the web, which shall be represented either using web height to thickness ratio (h/t) or Pcr has negligible contribution to web crippling strength for flange fastened lipped channel beam sections under interior two flanged (ITF) loading.Hence, the results in this paper question the suitability of DSM approach for the for the CFS beams' web crippling strength.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".