Seismic design and application of hybrid coupled walls with replaceable steel coupling beams in high‐rise buildings
Bibliographic record
Abstract
Summary An innovative hybrid coupled wall system consists of reinforced concrete (RC) wall piers connected with replaceable steel coupling beams (RSCBs) throughout their height. The RSCBs are designed with a central “fuse” shear link connected to steel beam segments at both ends, which are capacity designed to remain elastic. During a damaging earthquake, the fuse shear links yield and dissipate seismic energy, and once damaged, they can be easily replaced due to specialized link‐to‐beam connection details. Therefore, this system is expected to provide enhanced seismic performance over a conventional RC coupled wall system, particularly in terms of repair costs and time after damaging earthquakes. This paper presents an overview of seismic design considerations of this new system, which is intended as a guide for design practitioners to adopt the system. Design procedure of this system is first summarized, followed by description of the coupling ratio selection, member sizing, connection detailing, and modeling recommendations of the system. Furthermore, an analytical case study for a high‐rise building is presented to highlight the benefit of using this system for enhancement to overall building performance. In the end, this paper presents a few real‐world applications of RSCBs in super‐tall buildings in China.
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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 | 0.000 |
| 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) | 0.001 | 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".