Integral Sliding Mode Control for Seismic Effect Regulation on Buildings Using ATMD and MRD
Bibliographic record
Abstract
Seismic effects control in recent years has attracted considerable attention to reduce their effects for the safety of humans and structures. Therefore, in this work Integral Sliding Mode Control Based on Barrier Function (ISMCbf) is applied for the first time to regulate the displacement of a three-story scaled structure against earthquake excitation. This new type of controller does not need any information of the upper bound of the disturbance. Firstly, the controller is applied to a semi active Magneto Rheological Damper (MRD) and compared to the performance of Active Tuned Mass Damper (ATMD) under the effect of two different simulated earthquakes: time scaled El Centro 1940 earthquake and Mexico City earthquake. ISMCbf with MRD reduced the displacement of the structure with lower required controlled force as compared to ATMD with ISMCbf behavior. Secondly, the efficiency of ISMCbf with MRD is shown when compared to other controllers with MRD from previous studies.
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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) | 0.000 | 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) | 0.001 | 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".