Relaxation based analysis of structures containing frame elements and walls
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
The core of this research is the RELAXATION program written in C++. This program performs linear analysis for structures subjected to static loads. These structures can be composed using frame elements and shear walls. The basic element for modelling shear walls is a triangular element. Linear analysis is performed by an incremental displacement method or joint relaxation technique. The explanations that show how to generate the stiffness matrix of a triangular element with six d.o.f. per node, are given. In addition, the validity of this triangular element is demonstrated. The use of an over-relaxation factor is shown to greatly improve performance. Using examples the following is explained: the impact of this over-relaxation factor on time execution; how to prepare the input file and how to read the output file. Analysis of complex structures using the RELAXATION program, show to be about twice as fast as traditional stiffness method calculations.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.002 | 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