Assessment of Hyper-Viscoelastic Seismic Isolator Behaviour Using Finite Element
Bibliographic record
Abstract
Base isolation concept is a new technology on seismic control of structures.There are various types of seismic isolators that are used nowadays including elastomeric bearings isolators and sliding isolators.This paper describes the behaviour of a Hyper-Viscoelastic rubber bearing isolator based on finite element (FE) software ANSYS.A 2D model consists of upper and lowers steel plates with a series of alternating layers of rubber and steel shim plates.Hysteresis graphs of the model was obtained from the software.This graph indicated the main characteristics of the isolator.Different stiffness coefficients were determined as well as the effective dumping.A detailed discussion was conducted at the end of this paper where the behaviour of the rubber bearing isolator was compared with the behaviour of a lead rubber isolator.Moreover, it has been proved that using Hyper-Viscoelastic Rubber would decrease the shear deformation amplitude (E), decrease of failure load and increase maximum deformation in the isolators.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".