Influence of Geometrical Characteristics of Cylindrical Floater on the Dynamic Responses of Floating Solar Platforms Under Irregular Waves
Bibliographic record
Abstract
Abstract This study investigates the hydrodynamic responses of double-cylinder floating solar platforms under irregular wave conditions, focusing on geometric parameters such as cylinder arrangement, diameter, and gap distance. A numerical model developed in OpenFOAM was validated against experimental data for monochromatic waves (Baruah et al., 2022) using the Volume of Fluid (VOF) method to capture the air-water interface and active wave absorption techniques to minimize wave reflection. The model’s performance was further compared to a non-linear potential flow model (Baruah et al., 2024). The validated model was applied to analyze platform dynamics under irregular waves modeled using the JONSWAP spectrum. Results indicate that the double-cylinder platform reduces heave responses and enhances stability through increased damping but experiences higher surge forces due to horizontal wave loading. Larger cylinder diameters amplify heave responses due to stronger hydrodynamic interactions and non-linear excitations. Gap distance significantly affects dynamic behavior: shorter gaps intensify heave responses, while longer gaps lead to higher-order spectral peaks. Surge responses show a nuanced relationship, with specific gap distances amplifying forces near resonant wavelengths. These findings underscore the critical role of geometric optimization in improving the stability and efficiency of floating solar platforms for diverse marine environments.
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 | 0.000 | 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 | 0.000 |
| 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".