Structural Response of Tall RC Systems under Blast Pressure Loading
Bibliographic record
Abstract
Tall buildings with different structural systems can be exposed to explosive loading, and a proper understanding of their structural response under blast loads is crucial for robust structural design. This study investigates the structural performance of selected tall structural systems - shear wall frame, outrigger, and tube-in-tube systems - under different blast load effects. Nonlinear finite element analysis was performed using commercial package ETABS with blast loads applied as time-history functions for various charge weights and standoff distances. Structural responses were compared in terms of displacement and inter-story drift. Results showed that the tube-in-tube system performed relatively better in terms of displacement and inter-story drift as standoff distance increased and charge weight was constant. When explosive charge weights increased, and standoff distance was constant, the tube-in-tube system displayed better performance with respect to displacement, whereas the outrigger system was the optimum with reference to inter-story drift. The overall study indicates that selecting a tall structural system for better resilience against blast loading depends on specific aspects of structural behavior, identified as the required criteria.
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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 | 0.001 |
| 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) | 0.002 | 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".