SEISMIC ANALYSIS OF BUILDING USING DIFFERENT COUNTRY CODES: A REVIEW
Bibliographic record
Abstract
Seismic codes are very important in the designing of multistoried buildings. In order to design an earthquake resistant building, structural engineers must have the good knowledge of the various seismic codes. In this study, seismic design provisions in five building codes, IS 1893-2002 (Part-1), Japan (AIJ), 1997 USA (UBC), Canadian (NRC 2005) and 2009 USA (IBC) and their similarities and differences are reviewed. American seismic design code was first to be introduced in the world in 1927, after the California earthquake. Great advances in the building standards in different countries make it possible for their comparison. Factors like Importance factor, response reduction factor, seismic zones, soil profile, Fundamental time period, base shear will be compared. Prima facie, after the study performed it looks like the Japanese code is the most advanced code in the world. Indian and American codes are quite similar, while there is a huge difference in the Japanese and rest of the codes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".