Sustainable Decision in using Tuned Liquid Column Dampers for the Structural Energy Dissipation of Earthquake
Bibliographic record
Abstract
This paper introduces a novel simplified modeling approach for tuned liquid column dampers (TLCDs) designed to enhance the response control of single degree of freedom (SDOF) systems. The study focuses on the operational principles of TLCDs, which utilize the inertia of liquid within a column to dissipate energy and mitigate vibrations induced by dynamic loads, such as those from wind and seismic activity. Through the linearization of the governing equations of motion using MATLAB Simulink, the effectiveness of TLCDs is analyzed under the influence of El Centro ground motion. A comparative case study evaluates the structural response of an SDOF system both with and without the integration of a TLCD, demonstrating the significant benefits of employing these dampers in reducing acceleration and displacement. Results indicate that TLCDs dissipate motion significantly faster, achieving an 80% reduction in structural displacement within the first 10 seconds of El Centro ground motion. The findings suggest that properly tuned TLCDs can substantially enhance the stability and safety of structures subjected to dynamic forces.
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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 | 0.000 |
| 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) | 0.000 | 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".