Adaptive damping for dynamic relaxation problems with non‐monotonic spectral response
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 Non‐inertial transients may be effectively solved using explicit time integration with arbitrary inertial and damping properties. The usual approach relies on a diagonal lumped mass on which strictly mass proportional damping is based. While the damping coefficient can be adaptively determined on the basis of the estimated frequency of the predominant response, local changes in stiffness, often associated with changing contact conditions, can cause abrupt changes in the damping coefficient. This can substantially impede the progress of the solution, particularly when deformations involve large translations or rotations of parts of the system. A modification to the mass proportional damping is developed and implemented to avoid the deleterious effects of sudden changes in the damping coefficient. A new procedure is thus implemented so that the usual dynamic relaxation method will automatically adapt to changing conditions of response in such a way as to avoid overdamping low modes due to subsequent higher frequency events. Copyright © 2002 John Wiley & Sons, Ltd.
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 | 0.001 |
| 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