Towards a biomimetic envelope : a case study of Rheum nobile : an investigation into building envelope design, inspired by Rheum nobile’s adaptive solutions with a focus on light and heat control based on Vancouver climate
Bibliographic record
Abstract
Today, buildings with excessive energy consumption for heating, cooling, and lighting of indoor spaces have led to fundamental environmental problems, such as climate change, global warming, and air pollution. However, for more than billions of years, ecosystems and living organisms have adapted to environmental changes without disturbing the natural balance. Due to the perfect performance of nature's systems in adapting to environmental changes, the purpose of this research is to investigate a bio-inspired building envelope system based on Vancouver climate to reduce building energy consumption for indoor heat and light controls. According to the specific conditions of the project, after studying several organisms, the Rheum Nobile plant has been selected as the natural source of inspiration, which has been able to adapt to the freezing Himalayan climate with its unique features in controlling sunlight and temperature. In the proposed design approach, the natural adaptive solutions have been tested through a series of light simulations to ensure good light quality in the space. The final design version is a dynamic system consisting of three postures, inflated, deflated, and partially inflated, in which the system is activated by temperature and light sensors. As a result of this design, the proposed biomimetic building envelope breathes like a living plant, which dynamically adapts to ambient temperature and sunlight to provide a comfort indoor condition for its occupants.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".