Progressive Collapse Analysis Of Existing Rc Framed Structure With Design Of Externally Bonded Frp System
Bibliographic record
Abstract
when a building gets too old or exposed to any natural hazards say Tsunami or Earthquake or due to manmade hazards such as fire, explosion of gases, impact of vehicles, etc, it effects the behavior of structure and causes collapse of all or a large part of a structure precipitated by failure or damage of a relatively small part of it. A building undergoes progressive collapse when a primary structural element fails, resulting in the failure of adjoining structural elements, which in turn causes further structural failure. In this present study the behavior of existing RC framed building with 3 stories to progressive collapse located in seismic zone iii is investigated. A linear static analysis is worked out using ETABS software respectively. The demand capacity ratio is assessed in the critical region of the RC portion associated with the column removed, as per provisions of GSA guidelines. The paper concluded that the design of Externally bonded fiber reinforced polymer (FRP) composite laminates have been successfully applied to reinforced concrete (RC) beams and other structural elements there is less susceptibility of progressive collapse with ACI 440 2R- 08 and ISIS CANADA as per the provision of guidelines https://journalnx.com/journal-article/20150108
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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 | 0.000 |
| 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) | 0.002 | 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".