Rapid shaft sinking / Mechanisiertes Abteufen von Schächten
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In 2011 Herrenknecht designed a shaft sinking machine suitable for applications in frozen ground or soft to medium hard rock up to 120 Mpa, with variable shaft diameters as well as geometries. The target was to develop a machine that will provide safe working conditions for the personnel and exceed the shaft sinking rates of conventional systems. Two prototypes were manufactured and assembled at the Herrenknecht works in Schwanau during winter/spring 2012. In early summer of 2012, cutting trials were performed with the aim of achieving the maximal possible cutting rate performance. After successful completion of the cutting trials, the machines where shipped to Canada and assembled at the site. In November 2012, the first machine was lowered into the shaft and first cutting cycles where performed before Christmas 2012. Assembly and commissioning of the second machine follows in early 2013. Die Herrenknecht AG hat im Jahr 2011 eine Maschine für das maschinelle Abteufen von Schächten in gefrorenem Boden oder weichem bis mittelhartem Gestein mit einer Druckfestigkeit von bis zu 120 MPa entwickelt. Ein großes Ziel dieser Entwicklung war, die Arbeitsbedingungen für das Personal im Schacht sicherer zu gestalten sowie die Schachtabteufgeschwindigkeit konventioneller Anlagen zu übertreffen. Zwei Prototypen wurden hergestellt und im Zeitraum Winter 2011 bis Frühjahr 2012 auf dem Werksgelände der Herrenknecht AG in Schwanau montiert. Schneidversuche fanden im Frühjahr 2012 mit dem Ziel statt, die maximal mögliche Schneidleistung zu ermitteln. Nach erfolgreichem Abschluss der Schneidversuche wurden die Maschinen nach Kanada ausgeliefert und am Standort aufgebaut. Im November 2012 wurde die erste Maschine in den Vorschacht abgesenkt und die ersten Schneidzyklen noch vor Weihnachten 2012 durchgeführt. Aufbau und Inbetriebnahme der zweiten Maschine erfolgte im Sommer 2013.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it