High-rise airflow structural concept
Bibliographic record
Abstract
Energy technologies realized through kinetic mechanisms in high-rise buildings may maximize the performance and sustainability of the buildings and their urban environments.In search for innovation through respective technological advancements, the interactive design of the building form and its structural components is significant.At the same time, the superposition of the living organisms' vocabulary on the built environment delivers new insights and innovative solutions for sustainable developments through the integral composition of the components, light-weight and kinetic behaviour of the structures.In this frame, biomimetic-driven research and application leads to new architectural design concepts.Along these lines, the current paper exemplifies the design, simulation and analysis of a high-rise hybrid structure of 250 m height and 25 m diameter, which has an innovative lightweight load-bearing system and incorporates an integrated kinetic core mechanism for providing through vertical airflow, improvement of the environmental conditions for the building spaces and the surrounding urban areas of high density.The kinetic mechanism is envisioned to operate as an urban ventilation chimney for air polluted cities and contribute to microclimate improvements.Through presentation of the high-rise airflow structural system, significant influencing factors and interdependencies towards sustainable, integrated biomimetic-driven solutions of high-rise structures with integrated kinetic subsystems for improved functionality will be discussed.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".