Consistency between geometric and dynamic views of a mechanical system
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
In this paper, we investigate the problem of automated consistency management between different views of a single system design. As individual view models evolve, consistency is often lost. Ensuring consistency between different views requires periodic concerted efforts from the model designers involved. In general, the detection of inconsistencies and recovering from them is a tedious, error-prone and at best semi-automated process. Automated techniques can alleviate the problem. We focus on a representative sub-set of the problem: consistency between geometric (Computer-Aided Design -- CAD) models of a mechanical system, and the corresponding dynamics simulation models. We illustrate our approach by means of a simple example and use the SolidEdge CAD tool and the Modelica modelling language to model the different views. We analyze how to model a relation between the two views, which will assure consistency. If such a relation can be defined between the two views, consistency verification as well as change propagation to preserve consistency after one of the views has changed must still be derived. We conclude that consistency relation models and the derived change propagation operations can very elegantly be represented using Triple Graph Grammars.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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