Analyzing the Effect of International Standards Details of Reinforced Concrete Buildings on Ductility and Energy Absorption of Structure (A Case Study of Nakhjavan Palace Project)
Bibliographic record
Abstract
As studies have been conducted on structures exposed to earthquake or other similar destructive events revealed, implementation problems during construction have led to slight, serious and irrevocable damage. Meanwhile, with respect to various sensitive and subtle details, implementing concrete structures have not been excluded from this principle or are involved with these problem’s consequences. The present study investigated the relation between ductility and energy absorption, especially when the imposed lateral load is alternative. Also, the issue of energy-taking and input energy dissipation in a structure implemented according to international standards details of reinforced was studied. Furthermore, by implementing damage index model based on hysteric energy theory, three index levels including elemental, stratified and general structure damage were presented and the importance of precisely implementing regulation details were interpreted. Moreover, ductility and energy absorption level in tall structures’ load revisiting systems as well as structures’ non-linear behavior causes were explained. Since this case study focused on bending frame system and shear wall and analyzed total deformation of structures constituting shear wall and rigid frame. The research findings can be useful to determine the effect of implementing international standards details of reinforced concrete buildings on ductility and energy absorption of structure.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".