Effect of wind on RC structure resting on sloping ground and analysis done using ETABS software
Bibliographic record
Abstract
Wind load is one of the common loads for civil engineering structures viz. for long span bridges, tall buildings, towers and mast structures also. Wind load is acting on such structure throughout its life span. Therefore it is most important phenomenon to be taken into consideration for a structural engineer. Due to scarcity of land or due to mountainous terrains in North and North-East part of India most of the time structures are constructed on sloping grounds which is a challenge for structural engineer for analysis and design. These structures are also directly subjected to wind loads. India is also having large records of earthquake which left behind loss of many lives and heavy destruction to property and economy. Analysis of buildings in hilly regions with sloping grounds is somewhat different than the building located over a levelled ground. In present study 3D building frames of 25 storied building resting on flat terrain and sloping ground are taken into consideration. For sloping ground slopes of 20⁰,30⁰, and 40⁰ are considered. They are to be analyzed for wind speeds 39 m/s, 47 m/s and 55 m/s respectively. The modelling and analysis can be done using ETABS software which stands for extended three dimensional analysis of building system.
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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 | 0.001 |
| 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) | 0.005 | 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".