Cyclic Behavior and Modeling of Reinforced Concrete Shear Walls Based on Enhanced Bond-Based Peridynamics
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Bibliographic record
Abstract
Peridynamics (PD) has gained increasing usage in simulating the nonlinear damage behavior of reinforced concrete (RC) structures due to its extraordinary capacity in solving discontinuous problems. This paper presents an enhanced bond-based peridynamic (BPD) modeling method for simulating the complex nonlinear behavior of RC shear walls, such as strength deterioration and cracking propagation, under cyclic loading conditions. In the proposed BPD method, a novel concrete bond model is presented that can consider the stiffness degradation, strength deterioration, and residual plastic deformation. A steel model and a coupled axial-shear model are adopted to simulate the nonlinear behavior of rebar and reinforcement-concrete interaction. The enhanced PD is implemented in an open-source finite element software framework, OpenSees, and can perform implicit or explicit, dynamic or static analyses in a parallel manner. Two RC shear walls under cyclic loading conditions are used as verification examples. The nonlinear damage behavior is studied in detail for the RC shear walls, e.g. the strength deterioration, pinch effect, and cracking behavior. The results demonstrate that the enhanced BPD modeling approach is capable of simulating the nonlinear damage behavior of RC shear walls under cyclic loading conditions.
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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) | 0.000 | 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) | 0.000 | 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 it