MAT-761: THE EFFECT OF TEMPERATURE ON THE LATERAL RESPONSE OF UNBONDED FIBER-REINFORCED ELASTOMERIC ISOLATORS
Bibliographic record
Abstract
Base isolation is a method that can be employed to significantly reduce the demands on a structure during a seismic event. This method has shown considerable success in reducing the adverse effects of earthquakes, including damage and loss of life. The main concept of base isolation is to reduce the seismic demand on a structure by placing isolators beneath the superstructure at points where load is transferred to the foundation. One of the most commonly used types of isolator is the elastomeric isolator. These isolators are traditionally comprised of layers of elastomer and steel. More recently, research has been completed on the use of fibers as a replacement to the steel reinforcement layers, in order to reduce weight and potentially reduce costs. Fiber reinforced elastomeric isolators (FREI) can be placed (unbonded) between the superstructure and its foundation. This research investigates the behaviour of unbonded fiber-reinforced elastomeric isolators (U-FREI) under lateral deformations expected during seismic events. The objective of this study is to investigate the lateral behaviour of FREI under a range of temperatures, representative of those expected in various regions throughout Canada. Results from preliminary experimental tests show that the influence of temperature on the lateral response of U-FREI is negligible under the range of temperatures considered.
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.
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 | 0.000 | 0.000 |
| 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) | 0.003 | 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".