Effect of Climate Change on the Reliability of Offshore Wind Turbine Foundations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The reliability of monopile supported offshore wind turbine (OWT) is assessed considering the uncertainties in aerodynamic and hydrodynamic loads and spatial variability of soil. Traditional designs assume that applied loads are constant during the design period of OWTs. However, fluctuations in climatic conditions alter the future wind and wave loads because of which time-dependent reliability assessment of OWTs is performed in this study. Statistical downscaling method using the general circulation model corresponding to the A2 emission scenario is used to predict the future wind and wave responses. The impact of climate change on the probability of failure for the serviceability limit state of maximum allowable mudline rotation is studied. The uncertainties in soil properties, and wind and wave loads are incorporated in the analysis. The reliability of an OWT structure founded in sand is investigated for the period 2015-2050. The OWT system is modeled using a beam supported laterally by a nonlinear Winkler foundation characterized by the American Petroleum Institute recommended cyclic p-y curve for sand. This study shows that the reliability of OWT is changed significantly because of the effects of climate change.
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.
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 it