Numerical and Experimental Study of Coupling Beams in Reinforced Concrete Shear Walls with Diagonal Steel Members
Bibliographic record
Abstract
The seismic performance of coupling beams in reinforced concrete shear walls is a critical factor in ensuring the safety and resilience of high-rise buildings, particularly in earthquake-prone regions.According to ACI 318, diagonally reinforced coupling beams are designed to deliver superior seismic performance, including ductility and energy dissipation.However, the intricate layout and congestion of diagonal reinforcement pose significant challenges during construction.To address these issues, this study proposes a new type of reinforcement approach-Equivalent Diagonal Reinforcement (EDR)utilizing diagonal steel elements (DSE) in the form of L-and box-shaped profiles.This study involves both analytical and experimental investigations on three coupling models: one with conventional diagonal reinforcement in accordance with ACI 318 (DRAC) and two, incorporating the proposed EDR system.The EDR-based models use diagonal steel elements in either box-shaped or L-shaped profiles.Experimental and numerical approaches were utilized to assess the seismic behavior of the coupling beams.Cyclic loading tests were conducted to analyze crack propagation, failure modes, and energy absorption, while finite element simulations using ABAQUS/CAE 2022 were employed to validate the experimental findings and provide further insights into stress distribution and post-peak behavior.The findings demonstrate that the proposed EDR system with diagonal steel elements effectively addresses reinforcement congestion issues while achieving desirable performance in terms of stiffness degradation, energy dissipation, and ductility improvement.This study suggests that EDR can serve as a viable alternative to conventional diagonal reinforcement, enhancing both constructability and structural performance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".