Seismic retrofit of pre-damaged RC elements using thin strain-hardening cementitious composite jackets
Bibliographic record
Abstract
Abstract The emergence of cementitious materials with post-cracking strain hardening stress strain response in tension presents opportunities for retrofitting reinforced concrete elements through the application of very thin jackets, a technique that preserves the original geometry of the component. This retrofitting solution is studied experimentally in this work by replacing the damaged cover of lightly reinforced structural elements, which were previously tested under cyclic displacement reversals, simulating earthquake effects. Test specimens were detailed to represent older construction practices, where inadequate lap splicing of longitudinal reinforcement, light transverse reinforcement and thin concrete covers were common. Upon cyclic loading of the retrofitted components, the contribution of the thin jackets to the strength and deformation recovery of the old type reinforced concrete elements was examined considering the pre-existing damage. It was found that the efficacy of cover replacement with strain-hardening composites is significant not only for strength recovery but also in terms of enhanced deformability of the retrofitted component. The experimental response envelope was simulated using advanced nonlinear finite element modeling to gain improved insights regarding the stress state in the cover-replacement retrofitting layer, and to explore the performance of this retrofitting method for parameter values beyond the range of the experimental program. The amount of confinement exerted by the strain hardening cover was related to the tensile strength of the cover material and it controlled the strength recovery. However, by suppressing all brittle modes of failure along the shear span of the component, the reinforcement anchorage in the footing dominated the eventual failure mode.
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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) | 0.000 | 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 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".