NUMERICAL INVESTIGATION ON SEISMIC PERFORMANCE OF HYBRID PRECAST CONCRETE WALL SYSTEMS
Bibliographic record
Abstract
In the face of urban expansion and population growth, the demand for cost-effective and resilient structures in seismic regions is soaring. Precast concrete construction has emerged as an efficient solution to meet this demand. Notably, jointed precast concrete shear walls, equipped with energy dissipation devices and self-centring capabilities, have become the preferred choice in high seismic regions. Despite substantial research in low-rise buildings, a significant knowledge gap remains regarding the seismic behaviour of ductile precast concrete walls in mid- and high-rise constructions. This study addresses this gap with a comprehensive analysis of hybrid precast concrete wall systems, focusing on the inelastic behaviour of both walls and connections. While these systems are primarily characterized by base rocking and self-centring mechanisms, the research explicitly considers the inelastic behaviour of walls and connections throughout the structure's height. The primary objective is to explore the impact of wall nonlinearity on seismic performance, particularly in the context of tall buildings. The study concentrates on 20-story cantilever shear walls, utilizing two modelling approaches: Elastic and Nonlinear. Through nonlinear time history analysis using 22 ground motions representative of Vancouver, Canada, the results indicate that hybrid precast wall systems, in general, can reduce structural demands in terms of shear, moment, and drift. However, the study also highlights notable damage in the nonlinear hybrid walls, primarily due to higher mode effects. The comparative analysis of the results equips engineers with valuable insights to optimize design strategies for these systems.
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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 | 0.001 |
| 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".