Fluid–Structure Interaction in Horizontal-Axis Wind Turbines: Recent Progress and Challenges in Lattice Boltzmann Method Applications
Bibliographic record
Abstract
This review synthesizes recent progress in fluid–structure interaction (FSI) for horizontal-axis wind turbines (HAWTs) with an emphasis on advances using the lattice Boltzmann method (LBM). Fluid-only HAWT–LBM studies and their numerical foundations—lattice and collision operators, subgrid closures, near-wall treatment, and Cartesian geometry/interface handling—are consolidated. Across representative benchmarks and field cases, fluid-only LBM has matched integral power/thrust and near- and mid-wake metrics relative to established Navier–Stokes solvers in published comparisons, while demonstrating strong GPU performance and scaling. By contrast, published LBM-based FSI for HAWTs is limited to rigid-body coupling; a validated, two-way aeroelastic coupling of flexible, rotating blades has not yet been demonstrated. Canonical LBM–FSI applications (flexible flaps, plates/wings, selected civil/aero cases) illustrate transferable patterns—loose/strong partitioned exchange, immersed-boundary interfaces, and substep coupling to accommodate different fluid and structural time scales—but stop short of rotating composite blades at Reynolds numbers typical of utility-scale HAWTs. Based on these findings, the remaining research gaps are delineated and a staged roadmap toward a validated, two-way LBM-based aeroelastic pipeline for flexible HAWT blades is presented.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".