Static Analysis of Nonsymmetric High-Rise Buildings with Asymmetric Shear Walls under Lateral Loads
Bibliographic record
Abstract
The study formulates a model to characterize the structural response of high-rise buildings with nonsymmetric plan layouts involving shear walls of general cross-section geometries acting as a lateral force resisting system, under the action of static lateral loads. The model idealizes the shear walls as flexible thin-walled members while enforcing the rigid diaphragm actions provided by the floors using kinematic constraints. The thin-walled beam finite elements idealizing the shear walls capture global and local warping effects. Two thin-walled beam solutions are developed, one capturing shear deformation effects and another one omitting them. Static condensation is performed to reduce the computational effort necessary to model the structure leading to only three degrees of freedom per floor. The condensed shear-deformable thin-walled beam finite element model is able to accurately predict the locations of the centers of rigidity, lateral displacements, and angles of twist of the floors, along with the shearing forces, bending moments, twisting moments, and bimoments within the shear walls demonstrated through comparisons with shell finite element modeling. The locations of the centers of rigidity as predicted by the shear deformable idealization are found to depend on the loading profile and the floor level. In contrast, the nonshear deformable idealization leads to universal centers of rigidity that depend solely on the shear wall plan layout, but independent of the load profile and floor level. This observation is exploited to develop an efficient analytical procedure to compute the location of the center of rigidity. While the center of rigidity locations predicted by the shear deformable and nonshear deformable solution drastically differ from one another for the lower floors, they are observed to closely approach one another for higher floors.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".