Faltung von textilen Membranen bei wandelbaren Leichtbaukonstruktionen
Bibliographic record
Abstract
Abstract Unlängst wurden zwei der weltweit größten wandelbaren Dächer fertig gestellt. Die faltbaren Dächer des Nationalstadions Warschau und BC Place in Vancouver sind beide nahezu 10000 m2 groß. Während das Stadion in Warschau mit einer mechanisch vorgespannten Membran realisiert wurde, erhielt das Stadion in Vancouver aufgrund der hohen Schneelasten pneumatisch stabilisierte Kissen. Im folgenden Bericht wird speziell auf die erforderlichen Materialeigenschaften für wandelbare Membrankonstruktionen eingegangen, da ein immer wiederkehrender Faltungsvorgang eine signifikante Beanspruchung für das Material und seine Beschichtung bedeutet. Anhand von neu entwickelten Testmethoden wird beschrieben, wie in Abhängigkeit des Entwurfes die passenden Materialien gewählt wurden. Folding of textile membranes in retractable lightweight structures Two of the largest retractable membrane roofs in the world were recently completed. The National Stadium in Warsaw and BC Place Stadium in Vancouver have retractable membrane portions each with sizes up to 10000 m2. The Stadium in Warsaw has a mechanically pre‐stressed membrane while the structure in Vancouver uses inflated membrane cushions to withstand severe snow loading. In the following article required material properties for retractable membrane solutions will be discussed, since the repetitive folding of the membrane during the retraction puts significant demands to the textile material and its coating system. By means of especially developed testing methods it is described how the most suitable membrane material can be found, taken into account the concept design of the project.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".