Optimum design of a non-conventional multiple tuned mass damper for a complex power plant structure
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Bibliographic record
Abstract
This paper implemented an optimal design of non-conventional multiple tuned mass damper (NC-MTMD) system for coal scuttles in power plant. The NC-MTMD was introduced using base isolation for the coal scuttles. Mathematical models of the NC-MTMD were derived by considering multiple three-dimensional (3D) modes. Base seismic excitation is represented by 3D Kanai-Tajimi filtered white noise. Properties of the base isolation (stiffness, damping) were calibrated through global optimisation using base shear and torsion as the objective function. Derivative (e.g. Global Search, Multi Start), or derivative free (e.g. Pattern Search, Genetic Algorithm and Simulated Annealing) algorithms were considered. Pattern Search algorithm showed better convergence, efficiency and stability performance. A comparative study was performed for single- and multi-mode cases. Robustness of the optimum design was investigated quantitatively. Design parameter variation and mass variation (due to different levels of coal storages) were considered and their influences were studied.
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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 | 0.000 |
| 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 it