Effect of bonding variation and component combination on dynamic characteristics of compound semi-bonded carbon fiber reinforced elastomeric isolator (CSB-CFREI)
Bibliographic record
Abstract
Over the past thirty years, seismic isolation has been considered a viable earthquake damage mitigation technique and has been implemented to protect new and existing structures. However, due to the high production cost and implementation challenges of conventional seismic isolators, application of this protective technology has been limited to high value buildings with important and sensitive contents. To ensure widespread application of the base isolation systems for ordinary residential and commercial buildings, especially in developing countries, not only the production cost must be reduced, but the implementation efficiency must improve as well. With this intention in this study, a new cost effective Elevated Semi-Bonded Carbon Fiber-Reinforced Elastomeric Isolator (ESB-CFREI) with lower production cost and higher implementation efficiency is designed, manufactured, and tested. The innovative ESB-CFREI undergoes lateral cyclic excitations with a unique deformation mechanism that differs from that of conventional Steel Reinforced Elastomeric Isolators SREI and Bonded and Un-Bonded Carbon Fiber Reinforced Elastomeric Isolators. The ESB-CFREI can be used in isolation as an independent “Component Isolator” or combined with other component isolators to form a CESB-CFREI “Compound Isolator.” According to the experimental results, isolators with different bonding levels (BL) are characterized by different overall dynamic characteristics. Depending on component combination configurations, the compound isolators have different average bonding values that result in different damping, effective lateral shear, and axial compression stiffness. Results from experimental tests on different compound isolators demonstrated that change in combination configuration effectively influences the dynamic characteristics of the compound isolator. Dynamic characteristics of component (ESB-CFREI) and compound isolator (CESB-CFREI) as low-cost seismic isolators were investigated by conducting analytical and experimental studies. The isolator’s effective lateral shear and axial compression stiffness along with the isolation efficiency (IE) were defined. The experimental outcome demonstrated the effect of bonding variation on the dynamic characteristics, performance, and efficiency of the ESB-CFREI. The effects of component combination on the dynamic characteristics of the compound isolators were also investigated. Component material testing to investigate the hyper-elastic behaviour of the isolator’s rubber component and long duration excitation tests to study the isolator’s durability and performance were conducted as well.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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".