Hydraulic Performance of Low-Crested and Emergent Breakwaters with Ecologically Designed Armor Units
Bibliographic record
Abstract
Eco-friendly armor units and coastal structures provide a sustainable alternative to traditional design by incorporating eco-enhancing aspects into the design process to enhance biodiversity in their vicinity. ECOncrete’s Coastalock armor units feature a nature-inclusive design utilizing a bio-enhancing concrete mix, and biological surveys from a pilot deployment have already shown their positive impact in this sense. A comprehensive research program was initiated by the University of Ottawa and the Ocean, Coastal, and River Engineering Research Center of the National Research Council of Canada (NRC-OCRE), in collaboration with ECOncrete, a science-based bio-enhancing concrete technology company. Two-dimensional physical model tests of a low-crested and emergent rubble mound breakwater, each armored with Coastalock units, were conducted in the Large Wave Flume at the NRC-OCRE. Testing was conducted at a 1/15 scale. Both models were constructed as permeable structures with uniform 2V:3H front and back slopes and exposed to irregular waves with significant wave heights ranging between 0.08 and 0.38 m (1.2 and 5.7 m at prototype scale), while the wave steepness ranged between 0.03 and 0.07. This study focused on Coastalock armor unit placement, spacing, and underlayer rock size to understand their impact on hydraulic stability. The hydraulic performance of Coastalock armor units was analyzed by investigating wave transmission using existing formulas in the literature. Overall, the Coastalock armor units exhibited commendable stability against diverse wave conditions.
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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".