Erweitertes Modell zur Berechnung der Rissbreite
Bibliographic record
Abstract
Abstract Die Beschränkung der auftretenden Rissbreiten ist bei Stahlbetonbauteilen eine maßgebliche Bemessungsaufgabe zur Sicherstellung der Gebrauchstauglichkeit und Dauerhaftigkeit. Im vorliegenden Beitrag wird ein neues, praxisgerechtes Modell zur Berechnung der charakteristischen Rissbreite vorgestellt, welches auf allgemeingültigen mechanischen Ableitungen aufbaut und den charakteristischen Rissabstand sowie die zugehörigen charakteristischen Dehnungen über eine konsistente, verbundorientierte Methodik bestimmt. Die Bestimmungsgleichungen wurden in einer umfangreichen Parameterstudie ermittelt, sodass das neue Berechnungsmodell den Ansatz des EC2/NA [ 2 ] bzw. der DIN 1045‐1 [ 10 ] im Hinblick auf verbundspezifische und rissmechanische Zusammenhänge verbessert und den Anwendungsbereich in der praktischen Anwendung erweitert. Extended model to calculate the crack width The calculation of the crack widths is a main task within the design of reinforced concrete structures in order to secure the serviceability and the durability. In the following a new, practical model for the calculation of the characteristic crack width is presented, which is based on general mechanical relationships and determines the characteristic crack spacing and the associated characteristic strains with a consistent, bond‐oriented methodology. The calculation formulas were determined in an extensive parameter study so that the new calculation model improves the approach of the EC2/NA [ 2 ] or DIN 1045‐1 [ 10 ] in terms of bond specifics and crack mechanics and extends the application range in the practical use.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".