Experimental identification of the vibration modes of liquid‐filled conical tanks and validation of a numerical model
Bibliographic record
Abstract
Abstract Truncated conical‐shaped shells are widely used as containment vessels in elevated water tanks. In the aftermath of earthquakes, water tanks play a vital role in supplying the water needed for extinguishing fires that usually occur during these catastrophic events. As such, special attention has to be given when designing water tanks in order to assure safety and functionality of these structures during a seismic event. To the best of the authors' knowledge, this paper reports the first experimental program conducted to evaluate the dynamic characteristics of liquid‐filled flexible conical shell structures. A small‐scale aluminium conical shell model was mounted to a shaking table and subjected to a set of dynamic excitations. In the first phase of the experimental program, acceleration measurements were used to identify the first two modes of vibration. In the second experimental phase, the cos(θ)‐modes were identified through base shear and overturning moment measurements. The study was also conducted analytically using a numerical model that was previously developed by El Damatty et al. The model accounts for the effect of the added mass resulting from the developed hydrodynamic pressure through a proper fluid–structure interaction formulation. Tests conducted in the two experimental phases were simulated using this numerical model. In general, the experimental and analytical predictions of the dynamic characteristics of the tested model were in very good agreement. This provides a validation of the previously developed numerical model. The analytical model was then implemented to assess the generalized added mass of the contained fluid. Copyright © 2003 John Wiley & Sons, Ltd.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.000 |
| 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".