Expert system for dimensioning reinforcement and connections of wood with steel
Bibliographic record
Abstract
Ecological and sustainability values in the construction sector have become increasingly important, likewise the demand for timber constructions have increased. Simultaneously opportunities have developed to enhance the structural disadvantages of timber, leading to more economic and efficient structures. The engineering office Knippers Helbig does not only design timber structures frequently but is also a pioneer regarding the use of timber as a solid building material. This leads to the idea to develop a tool for a particular project and as a preparation tool for following project which enables the firm to evaluate advance calculations. Solutions were sought for strengthening in flexure and tension perpendicular to the grain of timber with steel as well as dimensioning connections with glued-in steel sections. With the tool, quick feasibility and variant studies for reinforcement and connection types are possible. Furthermore each dimensioning method is based on standardized calculations, so detailed verification can be performed. Da ökologische und nachhaltige Werte in den letzten Jahrzehnten auch im Bausektor von immer größerer Bedeutung werden, ist die Nachfrage nach Holzkonstruktion kontinuierlich gestiegen. Gleichzeitig oder grade deswegen entwickelten sich Möglichkeiten die strukturellen Nachteile von Holz auszubessern, was zu ökonomischeren und effizienteren Strukturen führte. Das Ingenieurbüro Knippers Helbig plant nicht nur gerne und häufig Holzkonstruktionen, sondern ist auch Vorreiter, was die Verwendung von Holz als Massivbaustoff betrifft. Daraus ergab sich die Idee, dass für ein Projekt im Speziellen und als Vorbereitung für folgende ein Tool entwickelt werden sollte, dass es ermöglicht weiterführenden Dimensionierungen zu berechnen. Dabei ging es darum Biege- und Querzugverstärkungen von Holz mit Stahl zu bemessen sowie Anschlüsse mit eingeklebten Stahlquerschnitten zu dimensionieren. Mit dem Tool dieser Masterarbeit ist es möglich zum einen schnelle Machbarkeits-, sowie Variantenstudien von Bewehrungs- oder Anschlusstypen durchzuführen, aber zum anderen liegen jedem Nachweis genormte bzw. bauaufsichtlich zugestimmten Berechnungen zugrunde, sodass Detailnachweise geführt werden können.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.009 |
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".