Experimental investigation on structural response of multi-story buildings subjected to differential settlement of its foundations
Bibliographic record
Abstract
Purpose This article aims to address an outstanding problem dealing with the structure of multi-story buildings subjected to differential settlement of the building's foundation. Design/methodology/approach Differential settlement between foundation units of multi-story structures has been responsible for causing damage to buildings and often catastrophic failure and loss of life. The dynamic changes in the loading conditions of the structure and the changes in the underlying ground due to environmental changes are causing this undesirable differential settlement, which is manifested in the form of additional stresses in beams, columns and distortion of the structure elements. This study presents the results of an experimental investigation on a prototype model of a multi-story building subjected to differential settlement of the building's foundation. The model is a four-floor aluminum structure, instrumented to measure the stresses induced in the structure elements due to the settlement of a center, edge and corner column, respectively, which represent the critical conditions of the structure. Findings The experimental results of this study can be used as a guideline for the design of structures. Originality/value The current study is the original research developed by the authors.
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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 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".