Out-of-Plane Behavior of Load-Bearing Reinforced Masonry Shear Walls
Bibliographic record
Abstract
The increase in the number of deliberate and accidental explosion events over the past two decades has necessitated evaluating the performance of blast-vulnerable structural components and developing subsequent risk mitigation strategies. In this context, several studies have focused on the out-of-plane behavior of either unreinforced masonry walls or non-load bearing reinforced masonry shear walls (RMSWs). However, to date, few studies have focused on the interaction between the axial load and the out-of-plane (e.g., when shear walls are subjected to blast loads) demands on such walls. As such, the current study focuses on evaluating the out-of-plane behavior of seismically-detailed RMSWs with different design parameters. In this respect, the experimental results of seven scaled RMSWs, with different in-plane ductility seismic classifications and axial stress levels, subjected to out-of-plane loading are first presented. Such results include the wall damage sequence, load-displacement response, stiffness degradation, and energy dissipation. Subsequently, the resistance function predictions based on the Unified Facilities Criteria guidelines are compared with the experimental results. Furthermore, an experimentally validated analytical resistance function is developed considering the postpeak behavior of RMSWs, including second-order effects. The current study extends the database of experimental and analytical results pertaining to load-bearing RMSWs, to facilitate the development of relevant provisions within the next generation of blast design standards.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".