Evaluating a Novel Yielding Damper for Enhanced Performance in Steel Beam-to-Column Connections
Bibliographic record
Abstract
This study introduces the Radially Perforated Plate Damper (RPPD), a novel seismic resilience technology designed to enhance the performance of beam-to-column connections.Addressing critical issues such as insufficient ductility and energy inefficiency, the RPPD incorporates a radially perforated plate from which multiple steel strips extend, demonstrating yielding behavior at their extremities under story drift.This feature is pivotal for reducing the risk of plastic deformation in adjacent structural components.This research numerically investigates the cyclic lateral performance of a system integrating the RPPD with a steel beam-to-column connection using ABAQUS software.Preliminary findings reveal that the RPPD system maintains robust and stable hysteretic behavior, exhibiting consistent performance under tension and compression without significant strength degradation or pinching effects.Additionally, it effectively dissipates seismic energy and accommodates rotational demands up to 0.07 radians.Beyond performance enhancements, the RPPD offers notable advantages over existing dampers, including straightforward construction, ease of post-earthquake repair or replacement, and potential for cost-effective maintenance, presenting a significant advancement in seismic engineering practices.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".